The introduction of 8 and 16 channel Wisenet X Series NVRs makes it cost-effective, for even small businesses to take advantage of the license-free Deep Learning AI video analytics, built into Wisenet AI cameras. As is the case with the 32 and 64 Wisenet X NVRs introduced in 2020, by reading the AI metadata captured by Wisenet AI cameras, the new NVRs are able to help users to quickly and accurately search video for objects and the attributes associated to them. Deep Learning AI video an...
A new generation of video cameras is poised to boost capabilities dramatically at the edge of the IP network, including more powerful artificial intelligence (AI) and higher resolutions, and paving the way for new applications that would have previously been too expensive or complex. Technologies at the heart of the coming new generation of video cameras are Ambarella’s newest systems on chips (SoCs). Ambarella’s CV5S and CV52S product families are bringing a new level of on-camera...
Hanwha Techwin, a global supplier of IP and analog video surveillance solutions, has expanded and updated its line-up of P series AI cameras with five new 2 MP HD models. A follow-up to the premium 4K P series AI cameras announced in 2020, the new cameras present a cost-effective entry point into the powerful world of AI-based camera technology. Hanwha P series AI cameras Hanwha P series AI cameras include license-free video analytics based on deep learning that can detect various object types...
Perimeter security is by no means a new concept. A phrase used to describe solutions with the primary purpose of limiting access to any area that is prohibited to the public at large, perimeter security has been prevalent for millennia. From Hadrian’s Wall that was built by the Roman Empire in Britain back in AD 122 to the Great Wall of China that winds almost 22,000 kilometers through the Asian country’s eastern regions, it is a concept that remains a fundamental part of global soci...
D-Link, a global leader in security and surveillance technology, has unveiled the JustConnect 16-Channel H.265 PoE Network Video Recorder (DNR-4020-16P) – an all-in-on IP video surveillance solution that offers SMBs and enterprises a robust surveillance system. Extensive monitoring The all-in-one DNR-4020-16P comes with integrated PoE ports, which can power and connect up to 16 individual cameras and is specifically designed to provide extensive monitoring wherever needed. H.265/HEVC (Hi...
One of the most practical ways that the growing convergence of AI and IoT, or AIoT, will impact everyone’s lives in the near term is interaction with the world, from unlocking doors, to entering an office building, to checking in at an airport, to elder and in-patient care. Integrating AI with 3D sensing IoT devices are getting smarter through the integration of AI that obtains insights from data. At the same time, when immediate actions are required from an IoT device, the user experien...
Ambarella, Inc., an AI vision silicon company, Lumentum, a designer and manufacturer of innovative optical and photonic products, and ON Semiconductor®, a provider of CMOS image sensor solutions announced two new joint reference designs that accelerate AIoT device deployment across verticals, building on the companies’ previous joint solution for contactless access systems. Intelligent 3D solutions By combining the data from Lumentum’s high-performance VCSEL array illuminators and an ON Semiconductor image sensor using Ambarella’s AI SoC, higher levels of accuracy and more intelligent decision-making can be achieved in next-generation AIoT devices for biometric access control, 3D electronic locks, and other intelligent sensing applications. Originally intended for biometric access control and electronic locks, these new reference designs can also address the needs of smart cities, smart buildings, smart homes, and intelligent healthcare. Additionally, the high level of integration provided by these joint solutions significantly lowers system power consumption and thermal design requirements while enabling much smaller product form factors. AI and IoT enabled access systems “Ambarella’s vision is to combine AI processing with 3D and vision sensing to create an ambient intelligent future,” said Fermi Wang, President, and CEO of Ambarella. “This collaboration with Lumentum and ON Semiconductor will further advance the convergence of AI and IoT to enable a new generation of access control systems while inspiring novel categories of ambient sensing products—all powered by the fusion of sensors using AI vision processors that interact intelligently and unobtrusively with people to address their ever-evolving needs.” Enhancing the accuracy of AIoT devices “Our new joint solutions will greatly increase the accuracy of AIoT devices across application verticals—starting with biometric access control and electronic locks—enabling them to recognize people and predict their needs, rather than requiring a direct human interface,” said Téa Williams, Senior Vice President and General Manager, 3D Sensing of Lumentum. The solutions will take advantage of 3D sensing to inject a new dimension of data input for improved decision-making “Many of these applications will take advantage of 3D sensing to inject a new dimension of data input for improved decision-making." "As an example, using higher resolution VCSEL-based spot illumination enables longer sensing ranges and higher accuracy facial recognition. Lumentum’s industry-leading and high-performance VCSEL arrays with zero field failures, used across these joint solutions, are driving new applications and helping realize the dream of AIoT devices with 3D sensing capabilities.” Intelligent sensing devices “Image sensors are the eyes for intelligent sensing devices. Their ability to see farther with more detail provides significantly more information for the AI processor’s decision-making in AIoT devices,” said Gianluca Colli, Vice President and General Manager, Industrial and Consumer Sensor Division (ICSD) group at ON Semiconductor. “Our industry-leading RGB-IR sensor technology, combined with the advanced ISP capabilities of Ambarella’s AI vision SoCs, can bring both visible and IR images into devices simultaneously. For this second generation of our joint solutions, we leveraged customer feedback to quadruple the resolution of our RGB-IR image sensors to 4K (8MP).” Application-specific AIoT solutions The three companies’ new joint AIoT solutions consist of two reference designs and additional 3D sensing development kits, each uniquely configured to address application-specific demands for the combination of AI processing, 3D depth sensing, and vision sensing: Targeted at next-generation biometric access control readers, the Vision+ reference design is the AIoT industry’s first 4K solution to perform single-camera, 940nm structured-light sensing based on RGB-IR technology. It is also the first to leverage a single-chip solution for depth processing, AI processing, and video processing. Based on the Ambarella CV22 CVflow® AI vision processor, it includes single-camera structured-light sensing powered by Lumentum’s VCSEL technology, featuring a range of 2 meters, and a 4K (8MP) RGB-IR CMOS image sensor from ON Semiconductor. Targeted at next-generation smart electronic door locks, or eLocks, for both commercial and residential applications, the Saturn reference design is the AIoT industry’s first to integrate AI processing for both single-camera structured-light sensing and fast-boot video processing. It is based on the Ambarella CV25 CVflow AI vision processor and includes a structured-light camera powered by Lumentum’s VCSEL technology and the AR0237CS 2MP RGB-IR image sensor from ON Semiconductor. Targeted at intelligent sensing applications and with opportunities across verticals, Ambarella’s CV2 series CVflow AI vision processor-based development kits can now be outfitted with ToF sensor adapters that are powered by Lumentum’s leading-edge VCSEL arrays. An optional 4K RGB-IR image sensor adapter is also available for these kits. Easy integration of third-party applications The open software development kit (SDK) for Ambarella’s CVflow AI vision processors allows the easy integration of third-party applications while enabling OEMs to address differing regional requirements with a single platform (for example, using different AI algorithms in different regions). Additionally, this robust, Linux-based SDK expands the capabilities of edge sensing devices, simplifies product development, and speeds time-to-market through: Custom application development capabilities Support for different 3D modalities, including structured light and ToF. Uniquely, a single Ambarella SoC provides 3D sensing processing without the need for a dedicated depth processor or a separate host processor High AI inference capabilities on the camera device to enable multiple neural networks (NNs) to run simultaneously Robust AI tools to support deep neural network (DNN) development and migration Integrated ISP to handle challenging scenes, including high dynamic range (HDR) and low light scenarios Built-in Arm® processors to run customer applications Integrated security hardware, including secure boot, OTP to store encryption keys, and Arm TrustZone technology for secure encryption key comparisons Rich peripheral interface support to simplify system designs Availability These joint reference designs and development kits are expected to be available in June. Additionally, the three companies will present these new joint solutions on June 2, 2021, in a live webinar hosted by Laser Focus World magazine.
As video users globally pay closer attention to the manufacturing origins and standards compliance of their systems, IDIS is highlighting the value of its fully licensed network cameras and recorders that feature H.265 video compression. IDIS was among the first manufacturers to deliver the benefits of H.265 compression to the market, as part of its end-to-end DirectIP solution. The company has confirmed that it has HVEC Advance and H.265 MPEG patent licenses for all its hardware, with licenses dating back to cover all installed systems. IDIS Intelligent Codec IDIS has made extensive use of the H.265 standard since 2016, leveraging it to underpin flexible monitoring solutions using dual codec (H.264/265) and hybrid codec, in order to ensure backward compatibility with older monitoring hardware. Combined with IDIS’s own advanced compression technology, IDIS Intelligent Codec, this typically saves up to 70% on storage capacity and lowers bandwidth requirements compared to older high-definition systems that relied on H.264. This approach means IDIS users were among the first to benefit from ultra-high-definition surveillance using 8 MP and 12 MP cameras, while ensuring fast incident response, smoother searches and minimized distortion, when reviewing complex scenes, even from mobile devices. IDIS Mobile Plus app With Mobile Plus, users can remotely access cameras and NVRs, monitor live video streams, and search recorded footage For example, the new IDIS Mobile Plus app, which integrates with the enterprise-level IDIS Solution Suite VMS, to allow for more flexible and remote surveillance operations, enables 4K live streaming on remote mobile devices, with high image quality in H.264/MJPEG and H.265 formats. With Mobile Plus, users can remotely access cameras and NVRs, monitor live video streams, and search recorded footage via their iPhone, iPad, Android phone or tablet, all enabled by advanced compression technologies. IDIS end-to-end video solutions Joon Jun, President of the IDIS Global Business Division, said “As security and video tech vendors come under increased scrutiny over issues from manufacturing origin and cyber security to standards and intellectual property compliance, IDIS can provide full reassurance for customers with its fully-licensed, Korean-made, end-to-end video solutions.” Joon Jun adds, “From critical infrastructure and banks, to national health services and corporates, IDIS video technology is trusted by major users globally.”
Hanwha Techwin has added 5 new 2-megapixel high-definition AI cameras to its Wisenet P series. The new cameras are designed to complement the 4K models which were launched in 2020, by making it more cost-effective for users to benefit from AI technology. As is the case with the existing 4K models, the new cameras are equipped with Deep Learning AI video analytics which delivers a high level of detection accuracy while minimizing false alarms. It does so by simultaneously detecting and classifying various object types, including people, vehicles, faces, and license plates. AI video analytics The Deep Learning AI video analytics is supported by Wisenet AI algorithms which identify the attributes of objects or people, such as their age group and gender or the color of their clothes. The attributes are saved as metadata alongside the images captured by the Wisenet P series AI cameras, enabling users to quickly search for specific objects or incidents. The algorithms are even able to recognize if a person is wearing glasses or is holding a bag. Operators are able to take advantage of VMS from software developers such as Genetec and Milestone Operators are able to take advantage of VMS from software developers such as Genetec and Milestone, as well as Wisenet WAVE and Wisenet SSM, to forensically search for specific objects or people by filtering the recorded metadata, as well as use the search capabilities of the latest generation of Wisenet X NVRs which are able to read AI metadata captured by the cameras. Social distancing analytics A recent firmware update, incorporated into the new 2-megapixel cameras and available as a downloadable upgrade for the existing 4K models, sees face mask detection and social distancing analytics added to the cameras’ capabilities. There is also enhanced people counting and queue management functionality. To help remove the risk of overcrowding and to assist, for example, store managers make the best use of human resources, this includes the ability to count the number of people queuing and generate alerts if a specified maximum number is exceeded. The cameras are also equipped with Hanwha Techwin’s Occupancy Monitoring application which generates alarm outputs that can be used to control automatic doors or a traffic beacon, as well as trigger the display of ‘wait’ or ‘enter’ messages when the maximum permitted a number of people allowed in an area at one time, has been reached. Video analytics applications With these various license-free Deep Learning AI video analytics applications available as standard on the Wisenet P series AI cameras, users do not have to incur the cost of purchasing licenses to be allowed to use them. Key features of the new 2-megapixel Wisenet P series AI cameras include: Digital auto-tracking which enables the cameras to transmit two streams of video, providing the option for operators to see a camera’s full field of view, while at the same time using a digital PTZ auto-tracking feature while viewing Full HD images, to track the movements of a person or vehicle. WiseNRII optimizes image noise reduction to reduce blurring. 50ma output which can be used to power LEDs, sensors, or glass break detectors. Minimizing network bandwidth The cameras have a BestShot feature which selects the best images which have been captured The new cameras also benefit from next-generation WiseStream III complementary compression technology. This applies a low compression rate to objects and people which are detected and tracked by AI, while applying high compression to the remaining field of view. When combined with H.265, this results in an improvement in bandwidth efficiency by up to 80% compared to current H.264 technology. To further minimize network bandwidth and data storage requirements, as well as increase operator efficiency, the cameras have a BestShot feature which selects the best images which have been captured of a person or object and only sends these, together with the associated metadata, to a storage server. The new Wisenet P series AI cameras are as follows: PNB-A6001 box camera PNO-A6081R bullet camera with built-in IR illumination PND-6081RV dome camera with built-in IR illumination PND-6081RF flush mounted dome camera with built-in IR illumination PNV-A6081R vandal-resistant dome with built-in IR illumination Mission critical applications “We are confident that these new affordable cameras will help prove that AI based video surveillance technology is not just suitable for high-end, mission critical applications,” said Uri Guterman, Head of Product & Marketing for Hanwha Techwin Europe. “In addition to helping combat criminal activity, we believe there are countless applications where the business intelligence captured with the assistance of the Deep Learning AI video analytics, as well as the cameras’ ability to help businesses operate safely during the COVID-19 affected era, will ensure they offer a high return on investment, regardless of where they may be deployed.”
Bosch has introduced the new Autodome IP starlight 5100i IR moving camera with a new 1/1.8 inch sensor offering 4-megapixel resolution and 30x optical zoom. It offers HDR X combined with starlight technology and dual illumination – integrated IR and white light – to capture images that can distinguish individuals or objects for identification or proof. Complemented with built-in Artificial Intelligence (AI), the camera, when idle, supports operators with object detection in areas of interest to enhance safety in city surveillance and perimeter protection applications. Essential video analytics The Autodome IP starlight 5100i IR, designed for outdoors, includes an automatic rain-sensing wiper to maintain clear images during wet conditions, is weatherized with an IP66 rating, and is vandal resistant with IK10 housing. In order for video security to become predictive, it is important to consider the benefits of interpreting video data and how it can do more for businesses than security alone. To support this philosophy, the Autodome IP starlight 5100i IR features built-in essential video analytics. This built-in AI enables the camera to add sense and structure with metadata to captured video data, which is the basis for converting this data into actionable insights. Creating sterile zones The Autodome IP starlight 5100i IR offers HDR X combined with starlight technology Relevant insights, like the detection of moving objects, help to create sterile zones, which establishes a boundary prohibiting any activity. These sterile zones enhance perimeter protection of buildings, parking lots, and restricted areas, increasing overall safety. The camera’s AI can also make it possible to retrieve the right footage from hours of stored video instantly and analyze the scene by providing different statistics so an operator can act faster and more efficiently to potential threats. One of the greatest challenges in city surveillance is capturing usable video during the daytime and in low-light and pitch dark scenarios. The Autodome IP starlight 5100i IR offers HDR X combined with starlight technology and dual illumination – integrated IR and white light – to capture usable images 24/7. Ensuring perfect exposure The new HDR X technology has a dynamic range of up to 133 dB ensuring perfect exposure while eliminating motion-related artefacts in scenes with challenging lighting conditions and moving objects during the daytime. In low-light scenes, starlight technology provides clear and relevant images with color filtering down to 0.010 lux. The integrated IR illumination can help identify objects in monochrome up to 320 meters At night, especially in pitch dark scenes, the camera's white light provides full-color images in complete darkness up to 60m (196 feet). The integrated IR illumination can help identify objects in monochrome up to 320 meters (1,049 feet) thanks to the built-in intelligent IR beam, which ensures optimum illumination of objects regardless of zoom level. The visible white light acts as a deterrent to intrusion, loitering, and other undesirable activities in city surveillance settings. Extensive user management All Bosch IP cameras are secure by design, a systematic approach centered on a built-in Trusted Platform Module (TPM), safely storing all certificates and keys needed for authentication and encryption. This method offers extensive user management to ensure only authorized users have access to data, supports a public key infrastructure set-up, and provides software sealing to detect changes in the cameras' configuration settings. As a company committed to security and sustainability, all Bosch cameras support remote configuration, management, and planning. System integrators can work remotely with customers to perform services such as changing configuration settings or installing firmware updates, ensuring systems meet the highest reliability standards. It minimizes the number of commutes, resulting in sustainable business practices that are economically viable, socially responsible, and environmentally friendly.
Johnson Controls, a smart, healthy, and sustainable building, and architect of the OpenBlue digital platforms has announced the introduction of eight additions to its popular Tyco Illustra Flex camera series. High performance and safety With enhanced image processing, improved low-light capability, and secure trunk protection against cyber-attacks, the new NDAA compliant Illustra Flex Gen3 cameras are designed to provide high performance, cost-effective solutions for virtually any video surveillance application. The Illustra Flex Gen3 is capable of connecting into the Johnson Controls OpenBlue platform, a complete suite of connected solutions for sustainability, new healthy occupant experiences, and safety and security solutions. Different Models of Camera With a small footprint, the aesthetically attractive Illustra Flex Gen3 cameras provide a choice of bullet, indoor mini-dome, outdoor mini-dome, and compact camera formats. The new 3MP models will supersede existing Gen2 3-MP Illustra Flex cameras. Advanced camera features The 8MP (4K) models, which feature a built-in suite of intelligent video analytics for enhanced situational awareness and faster response, as well as facilitate exception reporting, complement 4K Flex Gen2 cameras. The external cameras are equipped with built-in adaptive IR illuminators which enable them to capture crisp, clear images day or night, regardless of lighting conditions, up to a distance of 40 meters, while the compact cameras IR illuminators are effective up to 15 meters.
The team was building and designing a new website with improved content and features. The main addition being a new product listings functionality which includes: Full product hardware specifications 360° product images 3D product models A downloadable set of manuals, data sheets, and documents Product videos Improved product search database Plus new and improved sections and information throughout. The company will be evolving its website, adding new product lines, and further developing the AMG brand along the way.
Smart security is advancing rapidly. As AI and 4K rise in adoption on smart video cameras, these higher video resolutions are driving the demand for more data to be stored on-camera. AI and smart video promise to extract greater insights from security video. Complex, extensive camera networks will already require a large amount of data storage, particularly if this is 24/7 monitoring from smart video-enabled devices. With 4K-compliant cameras projected to make up over 24% of all network cameras shipped by 2023 – there is a fast-growing desire for reliable storage on-board security cameras. The question for businesses is: do they look to break up their existing smart video network, by separating and compartmentalising cameras to handle data requirements, or do they increase its storage capabilities? As some people begin to venture out and return to work following initial COVID-19 measures, we are also seeing demand for thermal imaging technology increase. New technology like this combined with more of these always-on systems being rolled out, means organizations will need to carefully consider their smart video strategy. Newer edge computing will play an important role in capturing, collecting, and analyzing data and there are some key trends you can expect to see as a result of this evolution. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices and sensors. Video data is so rich nowadays, you can analyze it and deduce a lot of valuable information in real-time, instead of post-event. Edge computing and smart security As public cloud adoption grew, companies and organizations saw the platform as a centralized location for big data. However, recently there’s been opposition to that trend. Instead we are now seeing data processed at the edge, rather than in the cloud. There is one main reason for this change in preference: latency. Newer edge computing will play an important role in capturing, collecting, and analyzing data Latency is an important consideration when trying to carry out real-time pattern recognition. It’s very difficult for cameras to process data – 4K surveillance video recorded 24/7 – if it has to go back to a centralized data center hundreds of miles away. This data analysis needs to happen quickly in order to be timely and applicable to dynamic situations, such as public safety. By storing relevant data at the edge, AI inferencing can happen much faster. Doing so can lead to safer communities, more effective operations, and smarter infrastructure. UHD and storage AI-enabled applications and capabilities, such as pattern recognition, depend on high-definition resolutions such as 4K – also known as Ultra High Definition (UHD). This detailed data has a major impact on storage – both the capacity and speeds at which it needs to be written, and the network. Compared to HD, 4K video has much higher storage requirements and we even have 8K on the horizon. As we know, 4K video has four times the number of pixels as HD video. In addition, 4K compliant video supports 8, 10, and 12 bits per channel that translate to 24-, 30- or 36-bit color depth per pixel. A similar pattern holds for HD — more color using 24 bits or less color using 10 or 12 bits in color depth per pixel. Altogether, there is up to a 5.7x increase in bits generated by 4K vs. 1080 pixel video. Larger video files place new demands on data infrastructure for both video production and surveillance. Which means investing in data infrastructure becomes a key consideration when looking into smart security. Always-on connectivity Whether designing solutions that have limited connectivity or ultra-fast 5G capabilities, most smart security solutions need to operate 24/7, regardless of their environment. Yet, on occasion, the underlying hardware and software systems fail. In the event of this, it is important to establish a failover process to ensure continued operation or restore data after a failure, including everything from traffic control to sensors to camera feeds and more. Consider the example of a hospital with dozens or even over a hundred cameras connected to a centralized recorder via IP. If the Ethernet goes down, no video can be captured. Such an event could pose a serious threat to the safety and security of hospital patients and staff. For this reason, microSD cards are used in cameras to enable continuous recording. Software tools – powered by AI – can then “patch” missing data streams with the content captured on the card to ensure the video stream can be viewed chronologically with no content gaps. Thermal imaging Health and safety is the number one priority for all organizations as people return to work and public spaces. Some organizations are deploying thermal imaging to help screen individuals for symptoms as they return. Organizations that operate with warehouses, depots and assembly lines will traditionally have large amounts of cameras located outside of the entrance. With thermal imaging smart video in place, these cameras can now serve a dual purpose as a screening device. The thermal imaging technology is capable of detecting elevated body temperatures, with 10-25 workers being scanned in one shot, from one camera – making it an efficient and accurate process. This way, staff can use the information to help identify people who may need further screening, testing, and/or isolation before returning to work. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices While this may not increase data storage requirements, it can change your retention policies and practices. Smart security today is about utilising AI and edge computing, to deliver an always-on, high-resolution video provision that can help keep people safe 24/7. These trends increase the demands and importance of monitoring, which means requirements of the supporting data infrastructure improve to match that, including the ability to proactively manage the infrastructure to help ensure reliable operation. Companies need to make sure they have considered all the storage and policy challenges as part of their smart security strategy for the future.
The only constant theme for video technology is its constant evolution. Over the last 40 years, cameras have gone from limited view, constantly monitored rarities to being one of the most populous Internet of Things (IoT) devices with a global reach. Fixed cameras with limited fields of view have been augmented with panoramic cameras with 180- and 360-degree viewing capabilities at ultra-high resolutions in the 4K and 8K ranges, a far cry from the grainy, monochrome viewing of the past. Threats have also evolved in that time, leading to a necessary evolution in security posture, moving from a series of individual programs and practices, to a comprehensive strategy designed around complex risk assessments. To ensure the successful implementation of your security stance in today’s world, you need technology to integrate seamlessly and vendors to work together to deliver coherent solutions rather than individual components. Since successful partnerships are always a two-way street, it’s important to take a look at some of the factors that vendors should offer and expect to receive when entering a beneficial partnership where technology seamlessly folds into the ecosystem of the partner’s technology offerings. Open Technology Standards If you ask any customer what the biggest negative is when it comes to new and emerging technologies, you’ll get a pretty rapid answer of “vendor lock-in.” You can have the best technology in the world, but if you don’t give a customer the opportunity to build multiple, “best-of-breed” products into a comprehensive strategy, you’re going to fall by the wayside pretty quickly. You need technology to integrate seamlessly and vendors to work together That’s not to say that you can’t have unique, proprietary or visionary technology; you absolutely can, and it is what innovation and progress thrives on. Building those technologies around open technology standards is vital if you are looking for wide-scale adoption. Using open technology standards also allows you to integrate with established industry players faster, more smoothly and with increased benefits to the customer. All of this leads to a faster time to revenue and a more rapid scaling of your presence in the market. Direct Technology Integrations Continuing the theme of open technology standards improving the ability to drive relationships with existing, complimentary technology partners, the directness and depth of integration also bears consideration. Using open technology standards also allows you to integrate with established industry players faster, more smoothly and with increased benefits to the customer One of the blights of building a security practice is getting all of your technologies to integrate together and feed information to each other. When you add the fact that each technology has its own user interface (UI) and management console, it can very quickly become overwhelming for the end user to keep tabs on each console, learn every interface and complicates building a workflow in the case of incidents or investigations. The administrators who manage the system also have to update each component individually, ensure that the integrations don’t break when an update is delivered and ensure that any new technologies don’t cause an existing piece of your solution to fail. As a technology vendor, if you have used open technology standards, and written your software with integrations in mind, you will find yourself becoming an easy solution to turn to. Camera manufacturers in particular can take advantage of this when integrating with a video management system (VMS). The deeper you integrate, and the easier you make it to manage, update, monitor and interact with your cameras for the VMS and subsequently the operator using the VMS, the more likely your technology will be designed into solutions. Open Communication and Equal Joint Development Successful partnerships are all about communication, and in my experience, having organizational alignment throughout both companies does wonders to improve the development processes. Executive support in particular is key, and a mutual understanding between leaders makes for a more successful go to market strategy. Equally as important is joint development, especially for engineering teams. Often, software engineers are just thrown the software from the larger of the two partners and told “make sure we integrate with this.” It is then down to the engineering teams to figure out how the partner software works and figure out their integrations. This is less difficult if the partner is using open standards, but there is still a high degree of difficulty involved. It also takes longer to create, test, adjust and release software integrations in this way. Then you have to repeat the process whenever there is a software update on either side. Successful partnerships are all about communication If you work collaboratively as engineering teams with defined co-development plans and processes, this process is simplified, and a better solution is realised for the customer. Working as equals also allows you to drive technology advancement faster, especially for the longer established vendor. New technology companies are forced to innovate faster to stay alive and that is well worth remembering. Your mutual sales teams also have a large part to play here, since working together in front of customers with a connected message will deliver better feedback into the engineering teams for future developments and projects. If you build your technology partnerships on these foundations, then you are well positioned to deliver great solutions to your customers, real value when it comes to forming a major part of the wider security ecosystem and will be well on your way to becoming a mainstay in the physical security world.
Edge devices (and edge computing) are the future. Although, this does seem a little cliché, it is the truth. The edge computing industry is growing as quickly as technology can support it and it looks like we will need it to. IoT Global Market The IoT (Internet of Things) industry alone will have put 15 billion new IoT devices into operation by the year 2020 according to a recent Forbes article titled, “10 Charts That Will Challenge Your Perspective of IoT’s growth”. IoT devices are not the only edge devices we have to deal with as the total number of connected edge devices includes the likes of devices like security devices, phones, sensors, retail sales devices, and industrial and home automation devices. The IoT (Internet of Things) industry alone will have put 15 billion new IoT devices into operation by the year 2020 The sheer number of devices begins to bring thoughts of possible security and bandwidth implications into perspective. The amount of data that will need to be passed and processed with all of these devices will be massive. There needs to be consideration taken by all business owners and automation engineers into how this amount of data and processing will be conducted. Ever-Expanding Edge Devices Market As the number of edge devices in the marketplace and their use among consumers and businesses rises, the need to be able to handle the data from all of these devices is no longer going to be suitable for central server architectures. We are talking about hundreds of billions and even trillions of devices. According to IHS Markit researchers’ study, there were 245 million CCTV cameras worldwide. One has to imagine there are at least 25% of that many access control devices (61.25 million devices) based on a $344 million market cap also calculated by IHS Markit’s researchers. If all the other edge devices mentioned earlier are considered then one can see that trying to route them all through servers for processing is going to start to become difficult if it hasn’t already, -which arguably it already has, as is evidenced by the popularity of cloud-based solutions amongst those businesses that already use a lot of edge devices or are processing a lot of information on a constant basis. Cloud Computing The question is whether cloud computing the most effective and efficient solution as the IoT industry grows The question is this; is cloud computing the most effective and efficient solution as the IoT industry grows and the amount of edge devices becomes so numerous? My belief is that it is not. Taking the example of a $399 USD device that is just larger than the size of a pack of cards and runs a CPU benchmarked at the same level as a mid-size desktop. This device has 8GB RAM and 64GB EMMC built-in and a GPU that can comfortably support a 4K signal at 60Hz with support for NVMe SSDs for add-on storage. This would have been unbelievable five years ago. As the price of edge computing goes down, which it has done in a dramatic way over the last 10 years (as can be seen with my recent purchase), the price to maintain a central server that can perform the processing required for all of the new devices being introduced to the world (due to the low cost of entry for edge device manufacturers) becomes more expensive. This introduces the guarantee that there will be a point where it will be less expensive for businesses, and consumers alike, to do the bulk of their processing at the edge as opposed to in central server architectures. Cloud computing is now being overtaken by edge computing, the method of processing data at the edge of the network in the devices themselves Edge Computing There are a plethora of articles discussing and detailing the opposition between the two sides of the computing technology coin, cloud computing and edge computing. The gist of it is that “cloud computing” was the hot new buzzword three years ago and is now being overtaken by “edge computing.” The truth is that cloud computing is a central server architecture hosted at someone else’s location. Edge computing is going to be a necessary development in the technology industry Edge computing is the method of processing data at the edge of the network (in the devices themselves) and allowing for less resources required at a central location. There is certainly a use case for both, however the shift to edge computing amongst the general public and small to mid-sized businesses will not be a surprise to those players, who have been paying attention. One article titled, “Next Big Thing In Cloud Computing Puts Amazon And Its Peers On The Edge” by Investor’s Business Daily takes the stance that edge computing is going to completely displace centralized cloud computing and even coins the phrase, “Cloud computing, decentralized” to explain edge computing. It speaks for the stance that most experts in technology seem to be taking, including Amazon Web Services’ VP of Technology, Marco Argenti according to the same article. We know that edge computing is going to be a necessary development in the technology industry, and it is happening as I write this, and quickly at that. Cost Efficiency Of Edge Processing As time goes on, the intersection between the prices of network bandwidth, edge processing and maintaining super powerful central servers will cause edge processing to be the most efficient and cost-effective way to maintain a scalable network in any environment, including datacenters. Owning a central server or utilizing edge computing become the better options As it currently stands, most residential users can only achieve a 1Gbps WAN (internet) connection, and small to medium-sized business can’t get much more but seem to get much less, based on my personal experience. When more than 1Gbps needs to be processed, cloud computing becomes very expensive at which point, owning a central server or utilizing edge computing become the better options. Then you look a total cost of ownership and when the cost of edge computing is less expensive than the cost of maintaining central server architectures, edge computing becomes the single best option. So, I’ll say it again, edge devices (and edge computing) are the future.
Imagine a world where video cameras are not just watching and reporting for security, but have an even wider positive impact on our lives. Imagine that cameras control street and building lights, as people come and go, that traffic jams are predicted and vehicles are automatically rerouted, and more tills are opened, just before a queue starts to form. Cameras with AI capabilities Cameras in stores can show us how we might look in the latest outfit as we browse. That’s the vision from Panasonic about current and future uses for their cameras that provide artificial intelligence (AI) capabilities at the edge. Panasonic feels that these types of intelligent camera applications are also the basis for automation and introduction of Industry 4.0, in which processes are automated, monitored and controlled by AI-driven systems. 4K network security cameras The company’s i-PRO AI-capable camera line can install and run up to three AI-driven video analytic applications Panasonic’s 4K network security cameras have built-in AI capabilities suitable for this next generation of intelligent applications in business and society. The company’s i-PRO AI-capable camera line can install and run up to three AI-driven video analytic applications. The AI engine is directly embedded into the camera, thus reducing costs and Panasonic’s image quality ensures the accuracy of the analytics outcome. FacePRO facial recognition technology Panasonic began advancing AI technology on the server side with FacePRO, the in-house facial recognition application, which uses AI deep learning capabilities. Moving ahead, they transitioned their knowledge of AI from the server side to the edge, introducing i-PRO security cameras with built-in AI capabilities last summer, alongside their own in-house analytics. Moreover, in line with the Panasonic approach to focus more on collaboration with specialist AI software developers, a partnership with Italian software company, A.I. Tech followed in September, with a range of intelligent applications, partially based on deep learning. Additional collaborations are already in place with more than 10 other developers, across the European Union, working on more future applications. i-PRO AI-capable security cameras Open systems are an important part of Panasonic’s current approach. The company’s i-PRO AI-capable cameras are an open platform and designed for third-party application development, therefore, applications can be built or tailored to the needs of an individual customer. Panasonic use to be a company that developed everything in-house, including all the analytics and applications. “However, now we have turned around our strategy by making our i-PRO security cameras open to integrate applications and analytics from third-party companies,” says Gerard Figols, Head of Security Solutions at Panasonic Business Europe. Flexible and adapting to specific customer needs This new approach allows the company to be more flexible and adaptable to customers’ needs. “At the same time, we can be quicker and much more tailored to the market trend,” said Gerard Figols. He adds, “For example, in the retail space, enabling retailers to enhance the customer experience, in smart cities for traffic monitoring and smart parking, and by event organizers and transport hubs to monitor and ensure safety.” Edge-based analytics offer multiple benefits over server-based systems Edge-based analytics Edge-based analytics offer multiple benefits over server-based systems. On one hand, there are monetary benefits - a cost reduction results from the decreased amount of more powerful hardware required on the server side to process the data, on top of reduction in the infrastructure costs, as not all the full video stream needs to be sent for analysis, we can work solely with the metadata. On the other hand, there are also advantages of flexibility, as well as reliability. Each camera can have its own individual analytic setup and in case of any issue on the communication or server side, the camera can keep running the analysis at the edge, thereby making sure the CCTV system is still fully operational. Most importantly, systems can keep the same high level of accuracy. Explosion of AI camera applications We can compare the explosion of AI camera applications to the way we experienced it for smartphone applications" “We can compare the explosion of AI camera applications to the way we experienced it for smartphone applications,” said Gerard Figols, adding “However, it doesn’t mean the hardware is not important anymore, as I believe it’s more important than ever. Working with poor picture quality or if the hardware is not reliable, and works 24/7, software cannot run or deliver the outcome it has been designed for.” As hardware specialists, Figols believes that Panasonic seeks to focus on what they do best - Building long-lasting, open network cameras, which are capable of capturing the highest quality images that are required for the latest AI applications, while software developers can concentrate on bringing specialist applications to the market. Same as for smartphones, AI applications will proliferate based on market demand and succeed or fail, based on the value that they deliver. Facial recognition, privacy protection and cross line technologies Panasonic has been in the forefront in developing essential AI applications for CCTV, such as facial recognition, privacy protection and cross line. However, with the market developing so rapidly and the potential applications of AI-driven camera systems being so varied and widespread, Panasonic quickly realized that the future of their network cameras was going to be in open systems, which allow specialist developers and their customers to use their sector expertise to develop their own applications for specific vertical market applications, while using i-PRO hardware. Metadata for detection and recognition Regarding privacy, consider that the use of AI in cameras is about generating metadata for the detection and recognition of patterns, rather than identifying individual identities. “However, there are legitimate privacy concerns, but I firmly believe that attitudes will change quickly when people see the incredible benefits that this technology can deliver,” said Gerard Figols, adding “I hope that we will be able to redefine our view of cameras and AI, not just as insurance, but as life advancing and enhancing.” i-PRO AI Privacy Guard One of the AI applications that Panasonic developed was i-PRO AI Privacy Guard Seeking to understand and appreciate privacy concerns, one of the AI applications that Panasonic developed was i-PRO AI Privacy Guard that generates data without capturing individual identities, following European privacy regulations that are among the strictest in the world. Gerard Fogils said, “The combination of artificial intelligence and the latest generation open camera technology will change the world’s perceptions from Big Brother to Big Benefits. New applications will emerge as the existing generation of cameras is updated to the new open and intelligent next generation devices, and the existing role of the security camera will also continue.” Future scope of AI and cameras He adds, “Not just relying on the security cameras for evidence when things have gone wrong, end users will increasingly be able to use AI and the cameras with much higher accuracy to prevent false alarms and in a proactive way to prevent incidents." Gerard Figols concludes, “That could be monitoring and alerting when health and safety guidelines are being breached or spotting and flagging patterns of suspicious behavior before incidents occur.”
Artificial intelligence (AI) is more than a buzzword. AI is increasingly becoming part of our everyday lives, and a vital tool in the physical security industry. In 2020, AI received more attention than ever, and expanded the ways it can contribute value to physical security systems. This article will revisit some of those development at year-end, including links back to the originally published content. In the security market today, AI is expanding the use cases, making technologies more powerful and saving money on manpower costs - and today represents just the beginning of what AI can do for the industry. What it will never do, however, is completely take the place of humans in operating security systems. There is a limit to how much we are willing to turn over to machines - even the smartest ones. Beyond video analytics "Apply AI to security and now you have an incredibly powerful tool that allows you to operate proactively rather than reactively," said Jody Ross of AMAG Technology, one of our Expert Roundtable Panelists. AI made its initial splash in the physical security market by transforming the effectiveness of video analytics AI made its initial splash in the physical security market by transforming the effectiveness of video analytics. However, now there are many other applications, too, as addressed by our Expert Panel Roundtable in another article. Artificial intelligence (AI) and machine learning provide useful tools to make sense of massive amounts of Internet of Things (IoT) data. By helping to automate low-level decision-making, the technologies can make security operators more efficient. Biometrics with access control Intelligent capabilities can expand integration options such as increasing the use of biometrics with access control. AI can also help to monitor mechanics and processes. Intelligent systems can help end users understand building occupancy and traffic patterns and even to help enforce physical distancing. These are just a few of the possible uses of the technologies - in the end, the sky is the limit. AI is undoubtedly one of the bigger disrupters in the physical security industry, and adoption is growing at a rapid rate. And it’s not just about video analytics. Rather, it is data AI, which is completely untapped by the security industry. Bottom line: AI can change up your security game by automatically deciphering information to predict the future using a wide range of sources and data that have been collected, whether past, present, and future. That’s right. You can look into the future. Smarter perimeter protection Now, Intrusion Detection (Perimeter Protection) systems with cutting-edge, built-in AI algorithms to recognize a plethora of different object types, can distinguish objects of interest, thus significantly decreasing the false-positive intrusion rate. The more advanced AI-based systems enable the users to draw ROIs based on break-in points, areas of high-valuables, and any other preference to where alerts may be beneficial. AI Loitering Detection can be used to receive alerts on suspicious activity outside any given store Similarly, AI Loitering Detection can be used to receive alerts on suspicious activity outside any given store. The loitering time and region of interest are customizable in particular systems, which allows for a range of detection options. Smart security is advancing rapidly. As AI and 4K rise in adoption on smart video cameras, these higher video resolutions are driving the demand for more data to be stored on-camera. AI and smart video promise to extract greater insights from security video. Meeting urban needs Complex, extensive camera networks will already require a large amount of data storage, particularly if this is 24/7 monitoring from smart video-enabled devices. Newer edge computing will play an important role in capturing, collecting, and analyzing data. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices and sensors. Video data is so rich nowadays, you can analyze it and deduce a lot of valuable information in real-time, instead of post-event. In smart cities applications, the challenge of identifying both physical and invisible threats to meet urban citizens’ needs will demand a security response that is proactive, adaptable and dynamic. Optimize security solutions As we look ahead to the future of public safety, it’s clear that new technologies, driven by artificial intelligence (AI), can dramatically improve the effectiveness of today’s physical security space. For smart cities, the use of innovative AI and machine learning technologies have already started to help optimize security solutions. In sports stadium applications, AI’s role in getting fans and spectators back after the COVID pandemic is huge, through capabilities such as social distance monitoring, crowd scanning/metrics, facial recognition, fever detection, track and trace and providing behavioral analytics. Technologies such as AI-powered collaboration platforms now work alongside National Leagues, Franchises and Governing Bodies to implement AI surveillance software into their CCTV/surveillance cameras. AI surveillance software In many ways, it’s the equivalent of a neighborhood watch program made far more intelligent through the use of AI This is now creating a more collaborative effort from the operations team in stadiums, rather than purely security. AI surveillance software, when implemented into the surveillance cameras can be accessed by designated users on any device and on any browser platform. One of the biggest advantages of using AI technology is that it’s possible to integrate this intelligent software into building smarter, safer communities and cities. Essentially, this means developing a layered system that connects multiple sensors for the detection of visible and invisible threats. Integrated systems mean that threats can be detected and tracked, with onsite and law enforcement notified faster, and possibly before an assault begins to take place. In many ways, it’s the equivalent of a neighborhood watch program made far more intelligent through the use of AI. Fighting illicit trade Using technology in this way means that thousands of people can be screened seamlessly and quickly, without invading their civil liberties or privacy. AI’s ability to detect visible or invisible threats or behavioral anomalies will prove enormously valuable to many sectors across our global economy. Revolutionary AI-driven technologies can help to fight illicit trade across markets. AI technologies in this specific application promise to help build safer and more secure communities in the future. AI can support the ongoing fight against illicit trade on a global scale in a tangible way. For financial transactions at risk of fraud and money laundering, for example, tracking has become an increasing headache if done manually. As a solution to this labor-intensive process, AI technology can be trained to follow all the compliance rules and process a large number of documents - often billions of pages of documents - in a short period of time.
Time for an indepth review of IFSEC 2019 in London. This show had fewer exhibitors than previous shows, and the ‘vibe’ was definitely more low-key. Fewer exhibitors meant larger aisles and plenty of room to breathe, and the slower pace provided time for exhibitors to reflect (often negatively) on the return on investment (ROI) of large trade shows. There was little buzz on the first day of the show, but spirits picked up on the second day (when, not coincidentally, some exhibitors served drinks to attendees at their stands). Enterprise security solutions One eye-catcher was smart wireless security provider Ajax Systems’ stylish black stand Many exhibitors compared IFSEC unfavorably to ISC West in the United States and even to Intersec in Dubai. Others seemed willing to be lured back to Birmingham (previous location for IFSEC) to participate in the upstart competitor, The Security Event, next spring. However, not all the IFSEC 2019 reviews were negative. Vaion made the most of their small stand toward the back of the hall. They experienced brisk traffic right up until the end of the show. Happy with the response, the provider of real-time enterprise security solutions reportedly has already committed to IFSEC 2020. Other exhibitors also made the most of their space at IFSEC; one eye-catcher was smart wireless security provider Ajax Systems’ stylish black stand. Vaion made the most of their small stand toward the back of the hall Latest new products Nedap launched a new product, AEOS 2019.1, that is five time faster and more stable than its predecessor. It uses HTML5 – no more reliance on Adobe. Feedback has been good. The company has also increased its integration of open security standards (OSS). Traka showcased smart lockers, which are modular, scalable, and staff can easily replace broken equipment. Product features can be adapted to specific sectors (i.e., retail, prisons). Traka spends 30% of its revenue on research and development, developing their own engineering. The company has seen massive growth in the UK and Europe. Hanwha Techwin lured visitors into the centre of their stand with drinks and ice cream, surrounded by the latest new products. Hanwha promoted their investment in a manufacturing facility in Vietnam and showcased Wisenet cameras with enhanced 4K images, digital auto tracking, and less motion blur for clearer images. Video verification product A multi-sensor model captures wide areas with a single camera. Hanwha also offered some value-priced cameras that feature easy self-install and are swappable. Optex launched a new product called ‘the Bridge’, a video verification product that bridges CCTV on a digital video recorder (DVR) to intruder alarms. Hanwha showcased Wisenet cameras with enhanced 4K images UK Surveillance Camera Commissioner Tony Porter announced ‘Security By Default’, a set of minimum requirements that will guarantee users that network video security products are as secure as possible in their default settings right out of the box. Hikvision promoted their support for Secure by Default and expressed hopes the initiative would be embraced by other companies and create a new best practice for camera cybersecurity. Hikvision also promoted their retail solution, which includes on-site redaction for GDPR compliance, shelf detection incorporating artificial intelligence, and use of heat mapping to analyze customer foot traffic. Generating revenue Safety and Security Things (SAST), another IFSEC exhibitor, is in the process of creating an ‘app store’ for the security market. Striving to achieve critical mass with participation by a wide range of systems integrators and manufacturers, SAST has a goal of launching to the public in Q1 next year in time for ISC West. Hanwha Techwin is among the players that have already joined the alliance A pilot version will debut this autumn, and they already have 26 apps and six camera manufacturers toward that goal. With a staff of 120, mostly based in Munich, SAST expects to begin generating revenue in 2020 and to grow rapidly. An investment by Bosch is financing start-up operations. Open Security & Safety Alliance (OSSA) is creating standards and a platform to enable the sale of apps in the security market. Large industry players Hanwha Techwin is among the players that have already joined the alliance, and OSSA is seeking to add other large companies, such as Axis, Genetec and Hikvision. Engaging integrators, app developers and software providers as well as camera manufacturers will generate widespread support to ensure the initiative succeeds. Although currently most OSSA members are based in the EU and Asia, it is a global organization open to any company in the world. Many large industry players are now missing from the IFSEC show floor; the most noticeable new abstainer this year was Milestone. And the downturn seems likely to continue: Exhibitors were largely noncommittal about returning next year, although organizers were urging them during the exhibition to sign up for 2020.
Hanwha Techwin a global supplier of IP and analog video surveillance solutions announced that We-Ko-Pa Casino Resort has selected Hanwha cameras for its new state-of-the-art video surveillance system. First established as a bingo-hall style building by the Fort McDowell Yavapai Nation in the early 1990s, the facility received approval to be revamped into a fully-fledged gaming facility in 2017. To ensure the safety of staff and visitors, this also included a new video surveillance system. Quality cameras When it came time to build the new facility, the Tribal Regulatory Agency, having learned from its earlier attempts, knew they had to find a vendor that wouldn’t let them down. Explains Lee Brown, Lead Surveillance Technician for the Fort McDowell Tribal Regulatory Agency, “We were looking for a manufacturer that had a variety of camera offerings to give us what we wanted and that also had a good reputation for quality.” They found what they were looking for with Hanwha Techwin. Camera coverage The cameras available from Hanwha Techwin enabled them to choose the right camera for every situation The number of cameras available from Hanwha Techwin was a key differentiator for the We-Ko-Pa Resort as it enabled them to choose the right camera for every situation. The range of options was especially important when it came time to design camera coverage for the slot floor in the new facility. This area proved to be challenging in part because it was designed to be flexible and modular. The new design allows the Casino to be dynamic in terms of where they place machines. The challenge then was how to ensure coverage of every machine even as they move around daily. Flexible 4k cameras They initially considered attaching cameras to the ‘cloud’ ceiling so that they could be moved as the configuration changed. But, because it floats below a concrete ceiling, this was not possible. The Casino decided instead to use the higher resolution P series 4K cameras and place them strategically throughout the space. Says Brown, “We had to give very careful consideration to where we placed our cameras. We wanted high quality and flexibility to avoid having to reconfigure and reinstall cameras all the time. The image quality with the Hanwha Techwin cameras gave us the edge we needed to work within our ceiling constraints.” WDR technology The new Casino has over 800 Hanwha Techwin cameras, including the XNV-8080R, PNV-9080R, and PNF-9010R models The new Casino has over 800 Hanwha Techwin cameras, including the XNV-8080R, PNV-9080R, and PNF-9010R models. According to Brown, their favorite feature is the quality they deliver at low bitrates. He says, “The majority of our cameras face intense and volatile lighting changes against a backdrop of complex scenery with many moving objects. Hanwha Techwin cameras and their advanced WDR (Wide Dynamic Range) technology can easily be configured to accommodate these conditions without sacrificing quality or producing obnoxious data streams.” Wisenet wave VMS While part of the interest in Hanwha Techwin was based on the build and image quality of the cameras and variety of the offerings, the Casino was also drawn to the Wisenet WAVE VMS (Video Management System). Says Brown, “We were attracted to the WAVE VMS because our virtualized server and client operating systems are 100% Linux based, and the WAVE client and server applications are well supported on Linux. It works exceptionally well with the Hanwha Techwin cameras and other devices, like HDMI encoders and third-party cameras.” Live central monitoring WAVE also helps operators with live monitoring. As part of their daily routines, operators at the Casino have to actively watch a variety of events and occurrences, including deliveries and vendors on site. Says Brown, “The layout system in WAVE makes it easy for us to organize our cameras into groups. So, when an operator follows someone through the Casino, rather than thinking in terms of which camera covers which machine or specific area, they think more in terms of the geography of the location.” Motion detection To reduce the storage requirements for video surveillance footage, they use motion-based high/low recording Every casino must comply with strict retention requirements in part because forensic examination and maintaining a clear chain of custody are extremely important. At the We-Ko-Pa Resort, they have a one-week minimum retention rate with some cameras keeping video for 30 days. Currently, We-Ko-Pa has 500 terabytes (TB) of redundant ZFS-based network storage. To reduce the storage requirements for video surveillance footage, they use motion-based high/low recording. Explains Brown, “We use motion detection to save on storage. If no motion is detected in a frame, the camera is set up to record at very low quality and low frame rate. If the camera detects motion, then the recording automatically shifts to high-quality mode.” Video surveillance system Moving forward, the Casino is excited about future possibilities for their system, including people counting and using their WAVE VMS to make data-driven decisions. The Casino and Tribal Regulatory Agency aren’t the only ones who recognize the outstanding features and functionality of their new Hanwha Techwin system. The Arizona Department of Gaming, which provides specific mandates for gaming operators in the state, is also impressed. According to Brown, “We have even received compliments for our video surveillance system from the state inspector who was quite impressed with the image quality and the smoothness of the recordings.”
St. Anne’s Parish vestry wanted to upgrade from its failing local NVDR and CCTV security system, comprised of 14 low-resolution cameras throughout the two buildings’ interior and exterior. The staff requested five additional camera views bringing the total to 19. The vestry wanted to deploy Verkada 4K ultra-high-definition IP cameras that store video in the camera, requiring a fast and reliable IP network. However, given the building’s age, St. Anne’s could not remove and replace its existing CAT3 network infrastructure due to high costs and complexity. Communications technology conference John Purnell, an IT industry consultant and Co-Chair of the St. Anne’s IT Committee, led the digital transformation effort for St. Anne’s. With several years of experience under his belt, Purnell was confident that an NVT Phybridge PoLRE switch would be the perfect solution for the project, including the church building in the circle and two buildings just down the street. Purnell discovered NVT Phybridge at a communications technology conference and had previously used the technology in several airport projects. NVT Phybridge was happy to help and quickly supplied a PoLRE24 switch to support the upgrade to IP Purnell reached out to NVT Phybridge, detailing St. Anne’s digital transformation objectives and barriers. NVT Phybridge was happy to help and quickly supplied a PoLRE24 switch to support the upgrade to IP. The PoLRE24 switch delivers Ethernet and PoE over any new or existing single-pair UTP (CAT3) infrastructure with up to 1,200ft (365m) reach, four times the reach of standard Ethernet switches. IP surveillance system NVT Phybridge also provided EC-Link Adapters after discovering coax cabling during implementation. Completely satisfied with the solution, St. Anne’s Church deployed a robust IP surveillance system to ensure safety inside and outside of the church and the parish house. “The IP cameras can store up to 30 days of video while performing analytics, which was not possible with our old NDVR,” said Purnell. “This allowed us to dramatically reduce network load and increase security, which was not possible with an NVDR or cloud-based solution.” The reseller team from BlueCapIT was trained on deploying the switch within one hour, and the deployment was finished just a few hours later. St. Anne’s Church saved a tremendous amount of time and money by avoiding the traditional rip-and-replace process, considering the historical value and community significance of the buildings. High-Definition IP cameras It’s incredible that we can support 4K ultra-high-definition IP cameras using the existing category-3 cable" “The NVT Phybridge Power over Ethernet switches allowed us to meet strict Historic Preservation requirements and quickly deploy IP cameras without re-cabling,” said the Rev. Dr. Manoj Mathew Zacharia, Rector of St. Anne’s Parish. “It’s incredible that we can support 4K ultra-high-definition IP cameras using the existing category-3 cable. NVT Phybridge helped prevent seven difficult cable runs and the disruption that comes with pulling cable. I am thrilled to have avoided the rip-and-replace of existing cabling while not compromising on performance.” St. Anne’s Church, located in Annapolis, MD, was established in 1692 and served as the Chapel Royal for Maryland. Following the American Revolution, the church building was rebuilt in 1792, which served the community until it was destroyed in a fire on Valentine’s Day evening, 1858. Preserving historic building In less than two months, architectural drawings were presented for the third St. Anne’s Church. Construction was quickly completed, and the first service was held in July 1859. Francis Scott Key and several signers of the Declaration of Independence worshipped at St. Anne’s. St. Anne’s Church is one of the most important landmarks in the Maryland State Capital, situated in the center of the main traffic circle. As an iconic symbol of Colonial Annapolis, preserving the historic building was very important to the City. In need of more space in the 19th and 20th centuries, the St. Anne’s established a Parish House for administration, programs, and a preschool about 100 yards down Duke of Gloucester Street.
Suprema, a global company in biometrics and access control solutions, announced that it supplied BioSign 4.0, its under-display fingerprint recognition algorithm to the Samsung Galaxy S21 smartphones with support from Qualcomm Technologies, Inc. BioSign, Suprema’s smartphone fingerprint recognition technology, has gained global recognition since its installation on Samsung Galaxy J5 models in 2017. Since then, Suprema has been supplying BioSign solutions to other Samsung smartphone models including Samsung Galaxy S10, Galaxy Note10, Galaxy 20, and Galaxy Note 20 series. Fingerprint recognition speed BioSign 4.0, installed in the Galaxy S21, has been receiving great reviews for its fingerprint recognition speed. BioSign 4.0 delivered enhanced speed and accuracy compared to its predecessor, BioSign 3.0, significantly upgrading user convenience with 50 percent faster and more than twice as accurate recognition performance. BioSign 4.0 employs deep-learning mechanisms to optimize fingerprint analysis to efficiently recognize rich fingerprint information obtained from the larger sensing area of the second-generation Qualcomm® 3D Sonic Sensor Gen 2 installed in the Galaxy S21 series. Qualcomm 3D Sonic Sensor Gen 2 Qualcomm Technologies unveiled the high-performance ultrasonic sensor, the Qualcomm 3D Sonic Sensor Gen 2 that was supplied to Samsung Galaxy S21 series, in January at CES 2021. With a 77%-larger fingerprint sensing area than the previous generation, the Qualcomm 3D Sonic Sensor Gen 2, was able to significantly improve fingerprint recognition performance. The ultrasonic sensor has ultra-thin form factors and is optically isolated from the display panel allowing for sleek smartphone designs. Performance and user convenience “Suprema's fingerprint recognition technology has been continuously selected for the Samsung Galaxy S series, proving to the world the technological superiority of our solution,” said Brian Song, the president of Suprema Inc. “With the excellent reviews BioSign 4.0 has been receiving for its overpowering performance and user convenience, we expect to be able to grow sales and market share. Suprema will continue to advance our fingerprint and face recognition technologies using AI and deep learning, leading the biometrics market into the future,” Song remarked.
Car theft is a huge risk for car sales offices, and this is especially an issue for the premium brands. Luxury car giant Eden Auto Premium BMW built a new site in Bordeaux, France, where they house and sell new and second-hand cars, as well as having a car park for customers. That amounts to a lot of cars that need protecting. They researched and compared different technologies and selected Hikvision products to meet their needs. These were then ably installed by reseller Faurie Telecom (Group Convergence), with Hikvision’s help, and the help of French distributor ITESA. The BMW reseller wanted a standalone system to streamline their security operation. Originally they used a night security agent, which was a costly solution. They needed to be able to integrate the security solution into a third party monitoring system, managed by Securitas, in order to reduce manpower costs. Perimeter protection systems The site posed a number of technical challenges. The team also needed to counter some crafty thinking from intruders, who were even resorting to hiding underneath cars during the day, when they can slip in unnoticed. They then could wander around the closed garage, avoiding detection by perimeter protection systems activated only at night. This meant the solution needed to focus on providing real-time, active image at night. With a lot of flags flying on the site, false alarms were a particular issue - these would set them off regularly With a lot of flags flying on the site, false alarms were a particular issue - these would set them off regularly. The complexity of the site also gave a lot of potential for false alarms, which needed to be minimised to reduce overall costs. The solution was made up from Hikvision products, providing a converged system, with seamless monitoring. Central to the system was Hikvision’s Security Radar (DS-PR1-60) for intrusion detection at night. Speed dome PTZ camera The Radar has a large coverage area, and performs excellently at night, whatever the weather. This means that false alarms are kept to a minimum. Radar has the added benefit that it can position humans and vehicles on a map, making it very useful for tracking purposes. This is where the DarkFighter IR Network Speed Dome PTZ camera (DS-2DF8225IX-AEL) comes in. The radar cameras are linked with this for auto tracking. If an event is detected, the control center automatically receives an alarm and can use the PTZ’s auto-tracking function to track any intruders. DarkFighter cameras are also designed to excel at night, so are ideal for this solution. Although radar has promising accuracy rates, the team needed to carefully configure it. The site environment proved a complex installation, with a lot of metal that can cause false alarms for the radar. Seamless security solution We were very satisfied with the innovative products and onsite service provided by the Hikvision team" The local team drafted in expertise from Hikvision HQ’s R&D and technical teams to complete the installation to a high quality and low false alarm rate. The system is coordinated using a AcuSensecamera (DS-2CD2686G2-IZS AcuSense 4K NVR (DS-7716NXI-I4) and a POE Switch (DS-3E0510P-E). Finally, HikCentral provides a user-friendly VMS experience, designed especially to integrate all the different Hikvision products, to make a seamless security solution. Christophe Chamand, from Faurie Telecom, says: “We were very satisfied with the innovative products and onsite service provided by the Hikvision team. From presales and order to technical support and aftersales service, Hikvision has been with us throughout the process, ensuring a successful installation and a happy customer.” With an innovative, converged security solution, BMW has been able to streamline its security, even at night. So intruders sneaking in and hiding during the day are out of luck.
Video surveillance has many applications, and keeping a watchful eye on an active volcano ranks as an important one. IDIS’ video technology has been meeting the task as the video technology provider for the Volcan de Fuego project in Guatemala. This volcano, one of the world’s most active and dangerous, is now watched day and night in order to give early warning of impending eruptions. Continual live footage of the ‘Volcan de Fuego’ can now be viewed online by emergency agencies, scientists and residents, as it is all being captured by IDIS’ award winning 8MP 31x IR PTZ camera. Ultra-high definition Even from over nine miles away, the 8-megapixel model is delivering ultra-high definition, full day, and night surveillance of the active caldera, showing sudden gas and ash eruptions as often as every 15 to 20 minutes. In June 2018 nearly 200 people were killed on Volcan de Fuego during a series of explosions and pyroclastic flows which left little evacuation time. This was the volcano’s most powerful eruption since 1974 and its deadliest since 1929 but was far from an isolated incident. More than 60 major eruptions have been recorded over the last five centuries, and with 54,000 people living on the fertile farmlands within six miles of the crater, the risk remains high. DC-S3883HRX camera The H.265 IR DC-S3883HRX camera features an 8MP, auto focus, and 31x optical zoom lens Consequently, ultra-high definition, continual video monitoring, alongside data from sensors including seismology and gas detectors, now aims to protect vulnerable communities living around the volcano by giving early warning. The H.265 IR DC-S3883HRX camera, which features an 8MP, auto focus, and 31x optical zoom lens, IR performance up to 200m, and a highly sensitive auto-return positioning sensor, was installed by IDIS, its partner EPCOM and Guatemalan telecommunications specialist Crelosa. Like all IDIS cameras, the model, which has won two prestigious design awards, benefits from true, one-click plug-and-play set up, making it ideal for hassle-free installation at height, in challenging environments, and in locations where engineers are exposed to increased risk. Electronic image stabilization The IDIS PTZ also features true wide dynamic range (WDR), allowing it to cope easily in changing lighting conditions; electronic image stabilization (EIS) ensures steady coverage of scenes at distance, so images from the volcano remain crisp and sharp; and H.265 and intelligent codec requires minimum bandwidth even for 4K live monitoring. The camera also remains stable despite the region’s variable weather conditions including under strong sun, and when temperatures that fall sharply at night. The water droplet wiper proves essential during the rainy season. Smart failover and IDIS’ Ultimate Warranty gives Crelosa and the Volcan de Fuego monitoring agencies peace of mind that the camera will continue to deliver outstanding video in one of the world’s most dramatic settings.
Axis Communications, the provider in network video, has helped develop an innovative and clean energy solution which illustrates the potential of sustainable surveillance technologies in remote locations. In response to a request to produce a system to document part of a major program of improvements to Scotland’s A9 carriageway, Axis and its partner Camera Control UK, developed a solution which is capable of capturing high-quality 4K time-lapse imagery using entirely renewable sources. One of the main challenges was that the solution needed to be able to capture high-quality surveillance video in an area with no communication networks or local power, while coping with weather extremes and construction logistics. With diesel generators disregarded due to the pollutants they would produce, and the challenges associated with trying to lay power cables over a considerable distance along a route that twists and turns, a clean and sustainable solution was required. Video surveillance helps in better traffic flow The highways project will see a 10-mile stretch of the A9 from Perth to Inverness widened to increase the efficiency of the route and allow for smoother traffic flow. After winning a tender to document the project, local company, MB Productions Ltd, commissioned Camera Control UK to produce a solution. Camera Control UK in turn contacted Axis Communications, the provider in network video technology, to work in collaboration. The resulting video would be used for audit purposes, to provide evidence of best practice, and to serve as example material for future projects. All captured video is relayed back to a central control location using a dedicated wireless network Martin Naylor, Director of Camera Control UK, elaborates: “We realized it had to be an off-grid solution to avoid using local power; a solution that could incorporate wireless communications and utilize renewable energy sources to be environmentally friendly and sustainable over the longer term.” Bullet cameras To bring the solution to life, AXIS P1448-LE 4K short bullet cameras were chosen for their robustness and durability. The final system uses eight solar power packs, charged by a mixture of wind turbine and solar PV panels. Eight towers with mounted cameras are employed at various key touchpoints along the A9. Communications masts, installed to enable cloud connectivity, ensured that the Axis cameras, connected via the IoT, were able to deliver imagery of incredible quality. The whole solution illustrates the possibilities for innovation when utilizing the natural elements, having a virtually zero carbon footprint. All captured video is relayed back to a central control location using a dedicated wireless network. The whole system can be remotely monitored to continually check its status of operation. Remote management also enables the cameras to be fine-tuned for precision imagery of the work in progress, without the need to manually touch the cameras, or even to be on-site in person. 4K Imagery Martin Naylor commented on the relationship with Axis that has made this solution possible: “Axis really values innovation and is therefore an ideal partner, not only because the team takes the time to understand the challenges when trying to push the boundaries of what’s possible in surveillance, but also because their drive towards sustainable and ethical practices is an inspiration to other technology companies.” Matt Brown, Director, MBP, said of the solution: “We are now able to capture fantastic 4K imagery of the ongoing work on the A9. Camera Control UK has produced an entirely green solution, an incredible feat of engineering. The Axis cameras are in a completely different league, in terms of quality, to others we’ve seen. This project has been a great success.”
Round table discussion
The new school year is a good time to reflect on the role of security in protecting our schools. From video to access control to some newer technologies, our Expert Panel Roundtable found plenty to talk about when we asked this week’s question: How does security technology make our schools safer?
One impact of Chinese companies entering the physical security market has been an erosion in product pricing, creating what has been called the "race to the bottom." However, political forces and cybersecurity concerns have presented new challenges for Chinese companies. Adding cybersecurity increases costs, and the addition of more functionality to edge devices is another trend that has impacted product pricing. We asked this week's Expert Panel Roundtable: Has price erosion ended (or slowed down) in the security market?
The year ahead holds endless promise for the physical security industry, and much of that future will be determined by which technologies the industry embraces. The menu of possibilities is long – from artificial intelligence to the Internet of Things to the cloud and much more – and each technology trend has the potential to transform the market in its own way. We tapped into the collective expertise of our Expert Panel Roundtable to answer this question: What technology trend will have the biggest impact on the security market in 2019?
Smart And Reliable Rail And Metro OperationsDownload
5 Ways RFID Readers Can Secure Your WorkplaceDownload
Simplified Security for Utilities & Critical InfrastructureDownload
Achieving True Situational Awareness In Operation Centers With Computer Vision & AIDownload