With the new MOBOTIX S74 video system, Konica Minolta is significantly expanding the usage options for Intelligent Video Solutions delivered using its MOBOTIX 7 platform. The new model is a high-performance IoT camera featuring up to four different types of sensor (two visual, one thermal and one movement/sound), which allows for more flexibility than any other MOBOTIX video system.
Exceptionally discreet thanks to its concealed camera housing, the S74 can also access camera apps that have already been integrated, for almost indefinite expansion. This makes the video system universally suitable for any imaginable requirement in even the most diverse industrial applications.
Identifying vehicles or people
To supplement its already well-known 4K UHD modules in numerous lens opening angles, Konica Minolta is presenting a real world-first with the MOBOTIX S74: The Ultra LowLight 4MP Day & Night sensor module with automatic day/night switching. The Ultra LowLight technology can produce brilliant images with faithfully reproduced colors, even in low-light conditions. This is an important feature for applications such as identifying vehicles or people, even in the darkest of areas.
The excellent signal-to-noise ratio of 0.19 demonstrates the impressive brilliance of the Ultra LowLight sensors
The modules also have shorter exposure times, significantly increasing the sharpness of the object moving through the twilight image. The excellent signal-to-noise ratio (SRV) of 0.19 demonstrates the impressive brilliance of the Ultra LowLight sensors. That corresponds to a light sensitivity that is four-times higher than a 4K UHD module. The camera also has potent backlighting technology.
VGA thermal technology
Thanks to the optimized Wide Dynamic Range (WDR) function, all MOBOTIX 7 generation cameras can easily cope with challenging light conditions. WDR simultaneously combines different images with different exposure times into one image, automatically brightening areas that are too dark and preventing areas that are too bright. The result is a more accurate, detailed image in all areas.
The excellent image quality also applies in thermal applications. With VGA thermal technology and an extended image angle of up to 90° x 69°, even the smallest details can be recognized. Large areas (perimeter protection) and temperature differences can also be captured from great distances. The S74 integrates perfectly into the open MOBOTIX 7 platform, which offers a wide range of MOBOTIX Certified Apps based on Artificial Intelligence and Deep Learning to support security and workflow processes.
Specific use cases
Customers can use existing apps from the platform instead of installing apps in their own infrastructure, which they would have to manage and continuously update. The pre-installed apps can be trialed free of charge for 30 days and then activated individually using a license, if this is required. However, customers can also develop their own apps for specific use cases and these can be integrated into the open platform.
This means they can create "their own" camera to fulfill their specific requirements - giving them the full flexibility and modularity they need. In this way, new camera app solutions are continually being created with unlimited possibilities. Only high-quality professional market and partner solutions are integrated, tested, and certified by MOBOTIX to meet the high demands of quality and cybersecurity.
Additional network cameras
The S74 video system exclusively consists of rugged, high-quality components, which are made in Germany
As image processors and storage are embedded within the IoT camera and the camera operates completely autonomously, there is no extra hardware or software such as servers or recording systems - only the camera itself is required. This intelligent video solution therefore enables customers to reduce server load and storage volume, lowering both capital and operating costs. If the system is expanded with additional network cameras, only additional storage is required.
Robustness, reliability, and data security are also core values in the S74. The S74 video system exclusively consists of rugged, high-quality components, which are made in Germany. The camera housing is made of powder-coated aluminum and features weatherproof USB-C sockets. The S74 also provides end-to-end protection against cyber-attacks by hackers and prevents unauthorized entry into the company's network.
AI-supported video technology
Gary Fletcher-Moore, Head of Sales - Intelligent Video Solutions at Konica Minolta Business Solutions (UK) Ltd states, “With the MOBOTIX S74, we are setting new standards in AI-supported video technology. The system will impress customers thanks to its performance, image quality, robustness and cybersecurity.”
Hanwha Techwin, a global supplier of IP and analog video surveillance solutions, has announced the expansion of its line of public health surveillance technologies with the new Wisenet TNM-3620TDY body temperature detection camera.
The multi-purpose device uniquely combines Artificial Intelligence (AI) with a dual-sensor design to securely monitor facility entrances and accurately identify potential health risks.
Wisenet TNM-3620TDY camera
The Wisenet TNM-3620TDY body temperature detection camera offers two detection modes to discreetly scan people entering a facility. When used in estimated body temperature (EBT) mode, the camera’s 2-megapixel visible light sensor captures and sends AI-based face detection data to its QVGA-class thermal sensor, which simultaneously measures the body temperature of each subject.
Temperature monitoring is accurate to within +-0.3⁰ C when used with a blackbody calibration device and the camera will trigger audio/visual alarms and notifications when elevated temperatures are detected. An onscreen display indicates a subject’s temperature measurement, and a color-coded indicator is shown over their face.
High-resolution surveillance video
The Wisenet TNM-3620TDY camera can also be used as a traditional radiometric device
The Wisenet TNM-3620TDY camera can also be used as a traditional radiometric device, with the visible sensor providing high-resolution surveillance video to assist in identifying people and activities. In this mode, onboard video and audio analytics are available to detect area intrusion, line crossing, loitering, and temperature detection.
A spot temperature measurement feature also enables operators, via a web viewer, to obtain targeted temperature measurements by isolating specific areas within an image.
Keeping customers and employees safe
The TNM-3620TDY joins Hanwha Techwin’s full suite of solutions for helping businesses adapt during the COVID-19 pandemic, comply with new public health guidelines and keep customers and employees safe.
“Business owners and managers of public spaces need flexible options for remaining open and operating efficiently,” said Ray Cooke, Vice President, Products, Solutions, and Integration, Hanwha Techwin America.
Integrated with Wisenet 7 System on Chip (SoC)
Ray adds, “With this new camera and all our solutions for occupancy level monitoring, face mask detection and social distancing measurement, Hanwha Techwin gives them a choice of health and safety technologies they can tailor to their operations.”
The new TNM-3620TDY is based on Hanwha Techwin’s Wisenet 7 System on Chip (SoC), the core technology driving its enhanced image quality and advanced cyber security protection capabilities.
The camera has a Micro SD/SDHC/SDXC slot that allows up to 256 GB of video data to be stored at the edge. This method of recording is useful in the event of a network disruption, enabling video evidence that potentially might have been lost to be easily and quickly retrieved when a connection is restored.
Seamless connection to VMS, NVR and video decoder
The TNM-3620TDY camera can also complement a facility’s existing COVID-19 safety protocols
The camera can connect to a VMS, NVR or video decoder, or be used as a standalone device to comply with healthcare privacy concerns. The camera’s face detection area can be customized, for example to target the eye region, to prevent false positives from a warm forehead.
The TNM-3620TDY camera can also complement a facility’s existing COVID-19 safety protocols, as people with detected elevated temperatures can be discreetly asked to enter a separate screening area for secondary screening with an FDA-approved clinical thermometer temperature reading.
IEC 60601 certification
The TNM-3620TDY is compliant with a series of technical standards for the safety and essential performance of medical electrical equipment published by the International Electrotechnical Commission (IEC). In addition, Hanwha Techwin has completed the Food and Drug Administration’s (FDA) facility registration process, with device registration for FDA 510(k) clearance in progress.
The TNM-3620TDY supports H.265, H.264 and MJPEG compression formats, as well as WiseStream II, Hanwha Techwin’s compression technology which dynamically controls encoding, balancing quality and compression, according to movement in an image. Users can improve network bandwidth efficiency by up to 75% when combining WiseStream technology with H.265 compression.
Johnson Controls, a provider of smart and sustainable buildings, and the architect of OpenBlue connected solutions, and Alcatraz AI have collaborated to provide a comprehensive suite of AI-powered security solutions and services to meet the growing need for frictionless entry and advanced building security.
Leveraging its own data-powered access control technology combined with Alcatraz AI’s advanced facial authentication platform, the Alcatraz Rock, Johnson Controls offers comprehensive solutions to protect occupants and assets from building intruders and enable healthier hands-free entry. This partnership is just one facet of Johnson Controls commitment to bringing buildings to life through intelligent, dynamic, and data-powered solutions.
Deep neural networks
Alcatraz AI enhances Johnson Controls offerings to customers, creating a richer ecosystem of products and services and a timely response to the COVID-19 pandemic. When integrated with Johnson Controls access control technology, the Alcatraz Rock and its analytics provide building managers with advanced protection for their facilities’ security operations.
AI technology instantly identifies and alerts security personnel to entry abnormalities
The Alcatraz Rock software employs real-time facial mapping and deep neural networks to automatically enroll an individual based on any current access control methods, allowing for instant one-factor recognition authentication. This integration completely replaces standard badging practices with frictionless, hands-free access, allowing businesses and organizations to safely reopen by minimizing person-to-person contact at major entry points, and can even provide AI-powered mask detection. In addition, AI technology instantly identifies and alerts security personnel to entry abnormalities.
Facial authentication technology
“The ability to respectfully monitor who is accessing your building is crucial,” said John Hudson, vice president and general manager of security at Johnson Controls. “Facial recognition technology allows us to offer our customers an extra level of protection and provide the peace of mind of knowing exactly who is entering and exiting their facilities. Johnson Controls is more committed than ever to providing our customers with the tools and integrations needed to make buildings smarter, safer, and more connected.”
“Frictionless entry is critical to public health right now, and this partnership allows us to take it to the next level by combining our leading facial authentication technology with Johnson Controls security solutions,” said Vince Gaydarzhiev, CEO and founder of Alcatraz AI. “From advanced tailgating detection to automatic employee check-in, the Alcatraz Rock makes hands-free entry possible while simultaneously making your building a safer place to live and work.”
The events of 2020, combined with technological advances and the adoption of cloud and artificial intelligence for video surveillance, will make 2021 a transformational year for the industry.
Eagle Eye Networks, the front-runner in smart cloud video security, shared the trends that will have the biggest impact on video surveillance, security, and the use of analytics to drive business intelligence and improvement in 2021.
Customers are asking for the cloud; Advanced analytics will transform video surveillance systems into even more valuable business solutions; Compliance requirements are constantly evolving; IT departments are engaging with, and in many cases owning video surveillance; and, Customers are expecting systems to be open and connected.
Customers demand video surveillance systems
“A number of factors are driving the video surveillance trends in 2021,” said Hans Kahler, Vice President of Operations at Eagle Eye Networks.
“Innovation from companies like Eagle Eye Networks and our partners is leading and meeting the demands of customers for their video surveillance systems to provide business insights in addition to security.”
Delivering business value
Hans Kahler added, “Combine the promise of AI and cloud video surveillance with the volatility, instability, and remote work environment of 2020 and we have an environment where people are looking for their video surveillance and security systems to deliver more business value than ever before.”
“The acceleration of cloud adoption and use of analytics to provide improved security and drive business improvement will make 2021 a transformative year for the industry.”
Video surveillance and security trends
Customers are Asking for Cloud
The shift to the benefits of the cloud in the video surveillance space is powerful and undeniable, including major cost savings, heightened data security, remote access, and maintenance, flexible storage and retention, scalability, increased stability, and disaster recovery.
Analytics and AI Turn Security Systems into Business Solutions
Video surveillance systems are not just for security anymore, they’re also a valuable tool for business intelligence (BI). While AI has been talked about for several years, its deployment has lagged. This year, we’ll see AI move from the lab to practical adoption.
Compliance Requirements are Constantly Evolving
As video surveillance becomes a more widely adopted tool across industries and continents and more industries are using video for compliance purposes, regulating its use is becoming more prevalent.
IT Departments More Engaged and Owning Video Surveillance
IT leaders have not only gotten involved in the video management system, they’re actually owning it. As part of their IT strategy, corporations are leveraging video for business process improvement while reducing unnecessary operational overhead.
Demand for Open, Integrated Systems
An open and connected ecosystem makes it possible for businesses and developers to integrate any number of applications on a single video management system (VMS) platform.
The platform handles all the heavy lifting of interfacing with the cameras, recording video, securely transmitting and storing video to the cloud, and making the video available for use in the integrated applications.
The days of vendors locking users into their cameras or touting hybrid systems (which require upgrades to vendor hardware to get new features) will not be accepted.
The explosion of artificial intelligence used to enhance business processes, propel innovative products, and further automation has touched essentially every industry to date. The security sector, notable for its maturity and complexity, is not exempt from the AI tidal wave.
In fact, quite the opposite, the security sector and more specifically the domain of video surveillance have seen an emergence of AI-powered solutions both hardware and software.
The widespread adoption of IP cameras, cloud computing capacities, and smart sensors have paved the way for new AI products and solutions to function at scale.
AI-powered video analytics
One application of artificial intelligence for the video surveillance sector is the use of video analytic solutions to analyze video streams in order to extract pre-determined objects, behaviors, or situations.
To give some examples, AI video analytics can be used to monitor perimeter crossing for border control, detect fevers or masks in airports or public spaces, arms detection in casinos, or be used to filter out alarms triggered by benign movements versus real intrusions.
This application of artificial intelligence leans on its specific branch, machine learning, which uses a complex series of AI models to analyze the content of the video flow, autonomously identifying and classifying the videos according to predefined rules.
AI video analytics yields promising benefits, a reduction in operational costs, and an increase in safety, and a decrease in risk When AI video analytics are used effectively, they yield very promising benefits. A jump in video flow analysis from an average of 10% by humans to 100%, a reduction in operational costs, and an increase in safety, and a decrease in risk.
The use of AI video analytics for surveillance sounds simple enough, however, there are several perceived factors inhibiting security organizations from adopting the technology.
Adopting AI into your video surveillance operation
The security industry is capital intensive, complex in its IT structure, and diverse in situational business needs.
Therefore, resulting in a perception of high effort, time, and costs required to successfully integrate AI into your video surveillance operation. However, these effort constraints can be debunked due to the flexibility of video analytic solutions.
Three areas that deter security organizations from adopting AI
A surveillance operation contains a network of cameras that film with a range of video qualities.
AI video analytics can analyze a range of videos from low to high resolution in thermal, infrared, and visible formats AI video analytics often operate on smart cameras that have the appropriate video image quality for the capacity of content analysis. The costs involved in overhauling legacy camera systems, converting videos into higher quality, or waiting until the current camera network is ready to be replaced in order to integrate AI is expensive, time-consuming, and often unfeasible.
However, not all AI video analytic solutions need to be deployed on edge with smart cameras. Instead, video analytics can be deployed both directly on to the camera or have server-based integration maintaining and scaling to your existing camera network. AI video analytics can also analyze a range of videos from low to high resolution in a variety of formats: thermal, infrared, visible.
Complex IT structure
A single central command center or in-house security network operates in a multi-manufacturer environment. This means cameras, video management systems, and technology partners can be provided by several manufacturers therefore increasing the complexity of successful IT workflows and integrations.
Theft or perimeter infringement can take place in a matter of minutes, therefore the transfer of information between solutions is required to function at top speed. To overcome this complexity, the successful integration of solutions in a multi-manufacturer environment is assured through industry enforced standards set by non-profit organizations.
This allows for third-party solutions such as AI video analytics to be easily integrated into the bulk of software and hardware technologies.
Diversity in security needs
To obtain high performance in a diverse security setting is inherently built into AI video analytic machine The objective of a surveillance operation can vary greatly from one organization to another. Retailers prioritize theft detection, while city governments may be concerned about arms detection or people counting.
The capacity for AI to function with high performance, meanwhile adapting to several organization’s security needs requires algorithms to be trained accordingly. To obtain high performance in a diverse security setting is inherently built into how AI video analytic machine learning model’s function.
AI can be trained to adapt to different environments and uses progressive learning to increase performance overtime. A collaborative effort between security experts, data scientists, and business strategists will ensure high performance and an appropriate application of AI to fit each organization’s specific needs.
Surveillance innovation moving forward
While for some video surveillance organizations, the costs and time associated with successfully integrating AI into their network may seem daunting, there are ways to adapt new technology into an existing operation with minimal effort.
The emerging presence of smart cameras and IoT products will only accelerate the adoption of AI moving forward. If your organization is looking to enhance its operation with emerging technologies, now can be the time.
For decades, the nature of global safety has been evolving. From physical security threats like large-scale terrorist attacks and lone actor stabbings to chemical threats such as the Salisbury poisonings and even microbiological threats such as COVID-19, new challenges are constantly arising and the threat landscape we operate in today is constantly changing.
Compounding the complexity of the security issues is the complexity and nature of attacks. With the economic downturn, there is the traditional rise in theft, violence and other crimes. Compound this with unmanned businesses and work-at-home staff, and there is a perfect storm for a rise in security threats.
Artificial intelligence (AI) and specifically the branch of AI known as machine learning (ML), was already causing widespread disruption in many industries, including the security industry. AI has been a driving force to replace labor-based business models with integrated data and actionable intelligence that is context-aware. It has become apparent that AI will play a big part in the ongoing fight against both pandemics such as COVID-19, as well as other threats that we may face in the future.
With all of this in mind, 2021 is poised to be a big year for AI growth. While AI is going to continue to impact our lives in dozens of ways, from smart sensors to face mask compliance detection, the following reflects a few top trends and challenges that I have my eye on for 2021 as we close out this year.
The rise of smart city investments
One such example is the increasing development of smart cities and how AI can be leveraged to build safe communities. To date, we’ve seen an increase in the number of smart city programmes around the globe; cities that are beginning to deploy innovative technologies for the management and ease of life services.
Compounding the complexity of the security issues is the complexity and nature of attacks
Typical development of a city includes standard infrastructure - roads, schools, power, water, transportation. Now, internet, data and AI capabilities are part of the standard infrastructure requirements for all new developments. AI promises to deliver increased efficiencies with the infrastructure that will accommodate growing populations while reducing our impact on the environment, resources, and communities.
Global cities now account for more than half of the world’s population, and the United Nations projects the number to balloon to 68% by mid-century. Owing to both demographic shifts and overall population growth, that means that around 2.5 billion people could be added to urban areas by the middle of the century, predicts the UN Department of Economic and Social Affairs (DESA).
With an increase in population has come an increase in global spending on smart city initiatives to drive down the impact of growing urban concentration. Global spending on smart city initiatives is expected to total nearly $124 billion this year, an increase of 18.9% over 2019, according to IDC's Worldwide Semiannual Smart Cities Spending Guide, while Singapore, Tokyo, London and New York as the big spenders - expected to spend more than $1 billion in 2020.
Using AI-driven technology to create safer public and private spaces
Today, security solutions driven by AI are being developed and can be covertly deployed across a range of physical environments to protect the population in a more efficient, and accurate manner. As we look ahead to the future of public safety, it’s clear that new AI technology can dramatically improve the effectiveness of today’s physical security space.
One such deployment is the use of video object recognition/computer vision software that can be integrated into existing video monitoring security (VMS) systems. These enhanced VMS systems can be deployed both inside and outside of buildings to identify risks and flag threats, such weapons, aggressive behaviours, theft, and safety compliance. This helps to minimize the impact of a breach by an early alert to onsite security in real-time to the location and nature of the potential threat, allowing them to intervene before a loss occurs.
These same AI-enabled video solutions can similarly be used to provide advanced business operations in retail, logistics, and manufacturing organizations.
Multi-sensor security solutions
Also, targeted magnetic and radar sensor technologies, concealed in everyday objects like planter boxes or inside walls, can now scan individuals and bags entering a building for concealed threat objects. Using AI/machine learning, these two sensor solutions combined can identify metal content on the body and bag and match the item to a catalog of threat items, such as guns, rifles, knives and bombs.
Security solutions driven by AI are being developed and can be covertly deployed across a range of physical environments
Without this advanced multi-sensor solution, it becomes nearly impossible to discover a weapon on a person's body before it appears in an assailant’s hands. This multi-sensor solution allows for touchless, unobtrusive access to a building, but allows for immediate notification to onsite security when a concealed threat is detected.
The hidden technology thus empowers security staff to intercept threats before they evolve into a wider scale attack, while also maintaining the privacy and civil liberties of the public, unless, of course, they are carrying a concealed weapon or pose a physical threat.
With the advent of sophisticated surveillance and technological innovation, a level of caution must be exerted. Despite the ongoing global debate, there remains little regulation about the use of AI technologies in today’s physical security space. One thing is certain; it must be deployed in the right place, at the right time, with the right privacy and civil liberty protection objectives. People don’t want to be protected by omnipresent, obstructive and overbearing security systems that infringe on their privacy and civil liberties. They want a proper balance between security and their current way of life, one that must be fused together.
Technology and tracing COVID-19
Machine learning-based technologies are playing a substantial role in the response to the COVID-19 pandemic. Traditionally, the key purpose of surveillance systems has been to detect and deter threats, including the detection of visible and hidden weapons and abnormal behavior. While this, of course, remains a primary focus, today we are seeing how surveillance systems defend against new invisible threats, as well as rapidly automate the process of contact-tracing to capture and contain a virus before it spreads.
Again, the ability to track and trace through parsing algorithms that can manage through enormous amounts of data provides a highly scalable and rapid response mechanism to control the spread of threats.
AI has demonstrated potential for identifying those displaying symptoms of infectious diseases, without requiring physical human contact
Although the threat may not be visible, it is just as destructive. By incorporating AI into existing technologies, government, healthcare and security professionals can monitor public spaces and environments through the combined use of digital and thermal video surveillance cameras and video management systems); just one of the solutions being explored.
AI has demonstrated potential for identifying those displaying symptoms of infectious diseases, without requiring physical human contact. By Using AI-powered video analytic software, businesses can monitor face masks, social distancing and large gathering compliance and also detect elevated body temperature.
Critically, technology must be capable of both identifying and tracking the virus but also be unobtrusive. An unobtrusive system that is adaptable enough to be deployed across a range of environments where the public gathers in enclosed spaces is necessary to be effective.
Security in 2021
Technology has proven itself to be a valuable ally in times of crisis. For smart cities, the use of innovative AI/machine learning technologies will help optimize security solutions in areas that are brimming with potential.
As we look ahead to the future of security in a world that is impacted by such a wide range of threats, from physical to chemical to microbiological, it’s clear that new technologies, specifically AI can dramatically improve the effectiveness of security systems and help us to better defend against a wide spectrum of threats. Technology has a huge role to play in making our communities safe in 2021 and beyond, but for security systems to be effective, they must not be oppressive or obstructive. This will ensure they have the full support of the public - the key to success.
As the multi-billion-dollar market for artificial-intelligence-based video analytics continues to grow, so does the number of video analytics solution providers. In Q3 of 2018, Stockholm-based consulting company Memoori identified 128 active companies in the supply chain for AI video analytics [i].
This list is far from exhaustive, considering how analytics has been gaining interest and becoming mainstream in 2020, with users expecting more accurate alerts based on object detection instead of motion detection, hardware providers developing more powerful but compact chip sets for deployment, and more startup solution providers carving out their niche in the market.
Given so many choices, the question arises as to how a system integrator can evaluate and select the best solution for his customer. Although the criteria vary for each vertical, there are some key metrics to consider across the field:
Ease of use
Robustness and reliable performance
Good support and integration
Low total cost of ownership
1. Open platform
Open platform allows the user to have complete flexibility, avoid being locked into any particular manufacturer, and utilize the best-of-breed solution available in each category.
Analytics has been gaining interest and becoming mainstream in 2020
In 2019, an IPVM survey shows that 51% of system integrators always prefer an open platform to an end-to-end solution (i.e., all components including camera, VMS, analytics, etc. provided by one manufacturer), and 24% select open platform or end-to-end depending on customer requirements [ii]. For analytics, as the users commonly have an existing infrastructure, investing in a technology overhaul would be too expensive.
An open-platform analytics product, i.e., a camera-agnostic, VMS-agnostic, and computer-server-agnostic product, will add value to the existing infrastructure within a reasonable budget. Open platform also makes it easier and more cost-efficient to upgrade each component when necessary.
2. Ease of use
One of the main reasons and goals of applying AI to security is to help the user automate the process of watching hours and hours of surveillance videos, extract useful information and send alerts when necessary. In other words, AI should make it easier for the user to operate the security system. Thus, a good AI video analytics solution must be easy to set up and connect to the existing infrastructure, easy to use on a daily basis, and easy to scale with the expansion of the business. Let us examine each point in more details:
Easy to set up: a turn-key, plug-and-play solution helps save time and money. The system integrator can spend a couple of hours instead of days to help the customer set up. In both 2018 and 2020, the most common reason that integrators cited for choosing a solution is that “it just works” [iii][iv].
Easy to use: an intuitive, no-learning-curve user interface allows the customer to make the solution second-nature, maximize its utility and gets the highest return on investment. The best-case scenario is that everyone in the user’s organization, e.g., every police officer in a city police department, can use the solution on a daily basis, not limited to a technical staff with rigorous training.
Easy to scale: the solution must be designed to seamlessly scale in different ways: number of cameras (e.g., from a few to a few thousands); deployment locations (e.g., can we access data in our branch office in another city? how about another country?); types of device and deployment (e.g., body-worn cameras, in-vehicle, control center, cloud).
3. Robustness and reliable performance
Traditional VMD (video motion detection) -based analytics have many limitations and false alarms, so AI-based analytics were developed, primarily to identify different objects in the videos with high accuracy.
However, such accuracy must be achievable in different real-life environments. The best solution does not let low lighting, snow and rain, spider crawling in front of the cameras, etc., interfere with human intrusion detection or license plate recognition at night. In the case of temperature detection, users should be able to walk by the system at a normal pace without removing the mask to minimize disruption and maximize worker efficiency.
A more robust solution means less time and resource spent on false alarms.
A versatile, feature-rich, multi-functionality video analytics is the most effective choice for system integrators in the long term. Not limited to only object detection, AI can be trained to recognize higher levels of details (e.g., faces, age, gender, license plates), track objects (including people and vehicles), and detect certain behaviours (e.g., loitering, theft).
In other words, a more versatile analytics solution can recognize more types and behaviors of objects for more use cases. Most users have certain pain points today and are looking for only one or a few solutions. However, as the organization grows, new situations and requirements may arise, which call for new detection functions in video analytics. The costs and complexity will add up quickly if each solution has only one function. A few examples:
An LPR camera may be perfect for the need to record all license plates today, but if the police wants to find a black Toyota Prius with “A23” in the plate number, a solution that can detect the plate number, vehicle make and model will save much more time and effort.
Intrusion detection based on the ability to distinguish human from other moving objects (e.g., animals) is only the first step. What if the user needs an alert for people that enter a construction zone without a hard hat and safety vest? The answer is an AI solution that can grow its repertoire.
In the current pandemic, business must adopt temperature screening, distancing detection, occupancy detection, and mask detection; a solution that can provide all four analytics in one platform is clearly more useful than four individual solutions, not to mention whether the solution can be repurposed after the pandemic has been resolved.
5. Good support and good integration
One of the main reasons that system integrators might select an end-to-end solution instead of an open-platform one is technical support: more responsiveness and less finger-pointing.
In terms of responsiveness, good technical support is a part of the ease of use, where the system integrator and the user can rest assured that any question can be answer via email or a phone call to the manufacturer.
A more robust solution means less time and resource spent on false alarms
In terms of having a one-stop-shop solution to reduce finger-pointing, good support means the manufacturer can provide easy integration to 3rd-party systems, which includes API interface support. One example is access control. Video analytics is a great tool to enhance access security (e.g., face recognition to open doors for employees; LPR for parking management; weapon detection linked to automatic locked-down system), but only 24% of video surveillance systems today are integrated with access control [v].
Two of the main reasons: (1) integration is expensive, and (2) the systems are not compatible. Both hurdles can be overcome if the analytics solution bridges the gap between cameras and access control system via its API.
6. Low total cost of ownership
These six criteria help both the system integrator and the end-user save time, money, and effort
Cost is always a determining factor, especially in the SMB market [vi]. Customers’ expectations are high, and higher-resolution cameras are decreasing in price and increasing in numbers, which means more data to process than ever. A good analytic software solution is not only capable of many functions, its algorithms are efficient enough to fit more into the same server specs, and it does not require expensive cameras to have good accuracy, thereby increasing cost saving for the entire system.
In summary, these six criteria help both the system integrator and the end-user save time, money, and effort and get the most out of video analytics in the long run. A high-performance, versatile, turnkey solution is already a reality with today’s technology, and it will only continue to improve, so there is no reason to settle for less.
[i] Memoori, The Global Market for Intelligent Video Analytics 2018 to 2023, 2018
[ii] IPVM, Open vs. End-to-End System: Statistics 2019, November 11, 2019
[iii] John Honovich, IPVM, Favorite Video Analytic Manufacturers 2018, April 2, 2018
[iv] IPVM, Favorite Video Analytic Manufacturers 2020, February 25, 2020
[v] Brian Rhodes, IPVM, Access Control and Video Integration Statistics 2020, October 8, 2020.
[vi] Brian Karas, IPVM, Low Cost, Low End Competitors Challenge SMB Surveillance Market, September 1, 2017
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.
The coronavirus pandemic had a monumental impact on all aspects of the business world, including the security industry. However, amid the gloom and doom, many security professionals also saw opportunity: New ways the industry’s products could be applied to address the challenges of coping with the virus. This article will review some of those opportunities, based on our reporting throughout the year and including links back to the original articles.
During and after the pandemic, security systems are an important asset when it comes to helping to keep occupants and buildings safe as employees return to work. For example, video analytics can provide insight into how spaces have previously been used and can help to predict where and when occupants encounter each other or congregate.
Role of thermal cameras
These foot-traffic patterns can inform settings for a variety of devices - like ventilation and temperature controls - and even help owners create social distancing plans and monitor personal protective equipment (PPE) compliance. Thermal surveillance, a mainstay of traditional physical security and outdoor perimeter detection, began being deployed early in the pandemic to quickly scan employees, contractors and visitors as part of a first line of defense to detect COVID-19 symptoms.
These systems provide flexibility and can offer integrations with multiple VMS platforms and access control devices
These systems provide flexibility and can offer integrations with multiple VMS platforms and access control devices. Thermal cameras can be a tool for detecting fever, but any use of the technology for this purpose is full of qualifications and caveats. Importantly, how the camera system is configured makes all the difference in whether temperature readings are accurate, and the downside of inaccurate readings is obvious - and potentially deadly.
Temperature detection systems
FDA guidelines limit how the cameras are used, not to mention guidance from other regulatory/government bodies such as the CDC. One of our Expert Roundtable panelists compares the market to a “wild west scenario,” and almost all the panelists are clear about how customers should approach the market: Buyer beware.
There are many companies jumping into selling temperature detection systems to the state, local governments, hospitals, airports and local businesses, but do they know how to drive one? Anyone can get behind a car and drive it into a wall by accident. The same can happen with a temperature detection system. Customers need to know what questions to ask to ensure they maximize the accuracy of body temperature detection systems.
Rise of contactless
Spread of the novel coronavirus has jolted awareness of hygiene as it relates to touching surfaces such as keypads. No longer in favor are contact-based modalities including use of personal identification numbers (PINs) and keypads, and the shift has been sudden and long-term. Both customers and manufacturers were taken by surprise by this aspect of the virus’s impact and are therefore scrambling for solutions.
Immediate impact of the change includes suspension of time and attendance systems that are touch-based
Immediate impact of the change includes suspension of time and attendance systems that are touch-based. Some two-factor authentication systems are being downgraded to RFID-only, abandoning the keypad and/or biometric components that contributed to higher security, but are now unacceptable because they involve touching. "Users do not want to touch anything anymore,” says Alex Zarrabi, President of Touchless Biometrics Systems (TBS).
Facial recognition system
Another contactless system that benefits from concerns about spread of COVID-19 is facial recognition. New advancement in software, specifically in the areas of algorithms, neural networks and deep learning and/or artificial intelligence (AI), have all dramatically improved both the performance and accuracy of facial recognition systems, further expanding its use for an increasing number of applications.
A low-tech solution - the face mask - became a leading preventative measure during the pandemic. But, a high-tech solution is necessary to ensure that everyone is wearing them. Cameras powered by artificial intelligence can now identify whether or not people entering a facility are wearing facemasks and help enforce adherence to mask mandates. This technology is proving to be a cost-effective solution that reduces risks of confrontations over masks policies and gives managers the data they need to document regulatory compliance and reduce liability.
Smart video analytics
Other technology approaches, including artificial intelligence (AI), were also brought to bear during the pandemic. The German data analytics powerhouse G2K, for example, has developed a Corona Detection and Containment System (CDCS) that is ready for immediate use in record time. Detection takes place in combination with AI-supported data analysis to specifically identify virus hotspots and distribution routes, as well as to identify other potentially infected persons.
One specific AI application fuels the reopening of the world and successfully keeps the spread of the virus abated
One specific AI application fuels the reopening of the world and successfully keeps the spread of the virus abated. A “collaborative security” application includes a synthesis of smart video analytics, facial recognition, object identification/detection, and thermal cameras that can support the reopening of businesses globally when installed within those facilities frequented by customers.
Enforcing social distancing
Several applications have been successful to date and will increase in usability in the foreseeable future, creating “smart cities” working together towards a safer, more secure world. The site of one pilot program is the 250,000-square-foot HID Global facility in Austin. For the pilot program, 80 HID Location Services readers were installed in a wide area in the facility, including a variety of environments. Initially 30 badges and 30 fobs, all BLE-enabled, were issued to employees.
If a badge identifies another nearby beacon (suggesting a social distancing failure), it emits a blinking LED light, which can be seen by the offending co-worker. To ensure social distancing, a Bluetooth Low Energy (BLE) beacon is emitted from an employee’s fob (or from a badge that has the same functionality). The beacon communicates peer-to-peer with a beacon emitted by another employee’s fob or badge to alert if the location of the two employees is less than six feet apart.
For contact tracing, the beacons communicate via a nearby “reader” (a BluFi BLE-to-Wi-Fi gateway) to the Bluzone cloud-based software-as-a-service.
COVID-19 White Papers
In addition, we published several White Papers in 2020 that addressed various aspects of the coronavirus pandemic. They included:
The top five security lessons learned that apply across all industries navigating COVID-19.
Using video analytics to keep staff, visitors and customers safe by enforcing social distancing.
How antimicrobial treatment on door handles and levers can reduce disease spread.
How companies can put in extra precautions that will continue to grow and adapt with their environment over the long-term.
Determining the practicalities and capabilities of today's thermal cameras to accurately detect body temperature.
Close collaboration with customers has been a hallmark of the physical security industry for decades. And yet, less ability to collaborate face-to-face to discuss customer needs has been a consequence of the COVID-19 pandemic.
“True innovation, which comes from close collaboration with customers, is more difficult to achieve remotely,” said Howard Johnson, President and COO, AMAG Technology, adding “Not being able to visit in person has not been helpful.
Kurt John, Chief Cyber Security Officer at Siemens USA, adds “We need to plan intentionally with a strategic approach for collaboration and innovation.”
Securing New Ground virtual conference
Security experts from three manufacturers reflected on the impact of COVID-19 on the physical security industry
Security experts from three manufacturers reflected on the impact of COVID-19 on the physical security industry at a ‘View from the Top’ session, during the Securing New Ground virtual conference, sponsored by the Security Industry Association. Their comments covered business practices during the pandemic and the outlook for technology innovation in response.
“We had to pivot quickly on business models and create a cross-portfolio team task force to discuss how we can leverage technologies to help customers [during the pandemic],” said John, adding “We are having outcome-based conversations with customers about their businesses and operations, and how we can combine short-term benefits with long-term growth and flexibility.”
But some of those conversations are happening from a distance.
Results-oriented approach in remote work environment
After the pandemic took hold, Siemens shifted rapidly to remote work and embraced other infrastructure changes. “We had to refocus and lead with empathy, flexibility and trust,” said John, adding “We gave our staff flexibility to set their hours and used a results-oriented approach.”
There is also a social element missing in the work-from-home model. “Virtual coffee machines do not replace being there in person,” said Pierre Racz, President and CEO, Genetec, adding “Small talk about the weather is important psychological elements.”
Positives in using multi-factor identity management
He predicts that, in the future, office hours may be reduced, but not floor space, with space needed for in-person collaboration and long-term social distancing. Employees will come to the office to do collaborative work, but can work from home to accomplish individual tasks that may be ‘deferred’ to after-hours, when the kids have been fed.
When the pandemic hit, Genetec had resumed 95% of their operations within 36 hours, thanks to their use of multi-factor identity management. They did not suffer from malware and phishing issues. “Multi-factor is really important so that well-engineered phishing campaigns are not successful,” said Pierre Racz.
Shift to ‘Zero Trust’ model
All three panelists noted a coming skills gap relating both cyber security and systems integration
Remote working technologies are shifting to a ‘zero trust’ model, in which access to systems is granted adaptively based on contextual awareness of authorized user patterns based on identity, time, and device posture.
For example, an office computer might have more leeway than a home computer and a computer at Starbucks would be even less trusted. The approach increases logical access security while providing users their choice of devices and apps.
Skills gap in cyber security and systems integration
A growing skills gap has continued throughout the pandemic. “Where we have vacancies, we have struggled to find candidates,” said Howard Johnson. All three panelists noted a coming skills gap relating both cyber security and systems integration. New technologies will clearly require new skills that may currently be rare in the workforce.
Cyber security will become even more important with growth in new technologies such as AI, machine learning, 5G and edge computing. A workforce development plan is needed to address the technologies and to enable companies to pivot to new business needs, said John.
Adoption of temperature sensing solutions
From a technology viewpoint, Johnson has seen attention shift to the reception area and portal, away from touch technologies and embracing temperature sensing as a new element. There have also been new requests for video and audio at the portal point, to create methods of access and egress that do not require security personnel to be present.
“Some customers are early adopters, and others are waiting for the market to mature before investing,” Howard Johnson said.
“Security companies have been faced with the need to respond rapidly to their customers’ needs during the pandemic, but without seeming like ‘ambulance chasers’,” said Pierre Racz. In the case of Genetec, the company offered new system capabilities, such as a 'contamination report', to existing customers for free.
Move to a hybrid and flexible work environment
In the new normal, the pendulum will swing back to the middle with more flexibility and a hybrid approach"
An immediate impact of the pandemic has been a reduction in required office space, as more employees have worked from home, raising questions about future demand for office space. “The pendulum tends to swing to the extremes,” said Kurt John, adding “In the new normal, the pendulum will swing back to the middle with more flexibility and a hybrid approach.”
“Users will be much more careful about letting people into their space, which requires more policies and procedures,” said Lorna Chandler, CEO, Security by Design, who participated in a panel at Securing New Ground about how the pandemic is changing commercial architecture and access control.
“Users should also be careful in the rush to secure premises from COVID-19 that they don’t violate HIPAA laws or create other potential liabilities,” adds Chandler.
Continuum of mechanical and electromechanical devices
Mark Duato, Executive Vice President, Aftermarket, ASSA ABLOY Opening Solutions, said a “Continuum of mechanical and electromechanical devices is needed to protect premises and ensure convenient operation of an access control operation.”
“First and foremost, the immediate reaction to the impact of COVID-19 is to rush to educate and invest in technologies to increase the ability to analyze people,” said Duato, who also participated in the access control panel.
Shift to touchless, frictionless access control
“The move to touchless, frictionless access control “is really a collaboration of people, process and technology,” said Valerie Currin, President and Managing Director, Boon Edam Inc., adding “And all three elements need to come together. Touchless and frictionless have been in our market for decades, and they’re only going to become heightened and grow. We’re seeing our business pivot to serve markets we have not served in the past."
More and more data is a feature of new systems, but is only helpful when it is analyzed. “We all live in a world of data, or IoT and sensor technology,” said ASSA ABLOY’s Mark Duato, adding “But we don’t want to be crushed by data. Data is only helpful when you can reduce it to functional benefits that will help us innovate. We have to take the time to squeeze the value out of data.”
Ipsotek, a pioneer in artificial intelligence (AI) powered video analytics, has announced that it has been awarded a security systems project at the Katara Culture Village in Doha, Qatar, in partnership with Mannai Trading Co, a Qatari based company listed on the Qatar Stock Exchange.
Ipsotek’s highly scalable VISuite AI platform and advanced VISuite FR facial recognition system have been selected and approved by the Qatar Ministry of Interior to improve the security and safety as well as provide business intelligence at the iconic cultural village of Katara. VISuite AI enables users to efficiently manage automatically generated alarms in real-time, resulting in reduced operator response times and the ability to track chosen behaviors of interest in complex environments.
VISuite FR automatically detects and informs operators of people that have visited a site multiple times in a configurable timeframe and could pose a security threat. It is optimized for use in busy and security-sensitives scenarios where the highest level of recognition is required.
In addition to the project at Katara in collaboration with Mannai ICT, Qatar’s renowned Systems Integrator and the Information & Communication Technology Division of Mannai Corporation, Ipsotek has a number of other major projects across Qatar. The company has also announced that it has appointed Mr Jihad Marei as Country Manager for Qatar and is in the process of opening a new office in one of Qatar’s Free Zones.
Key strategic partners
We are very proud to have been awarded the Katara Heritage Village project with Mannai Trading Co."
Also known as ‘The Valley of Cultures’, Katara is one of the main cultural destinations in Qatar, featuring a museum, open amphitheatre, opera house, movie theater, conference hall, beach, Souq and multiple restaurants. Katara hosts hundreds of events and attracts over 10 million visitors each year.
Charlie Bennett, Ipsotek Head of Sales for EMEA said: “We are very proud to have been awarded the Katara Heritage Village project with Mannai Trading Co. Mannai has become one of our key strategic partners in Qatar and we have enjoyed collaborating on several projects together this year, which is why we have also chosen to grow our presence in country further by employing Jihad Marei as Country Manager and open a dedicated office in Qatar.”
Artificial intelligence video analytics
Shamnad Karuvadi, Deputy Manager ELV Physical Security at Mannai Trading Co said: “We are very pleased to be working with Ipsotek as our solution partner for Artificial Intelligence Video Analytics. Ipsotek has added a great deal of value to the Mannai solution portfolio and together we look forward to providing the highest levels of safety and security to protect critical infrastructure. We would like to extend our sincere thanks to Charlie Bennet & Mr. Jihad Marei at Ipsotek for their extensive support.”
Calipsa, a provider of deep-learning powered video analytics for false alarm reduction, announces that its false alarm filtering platform is being used by Richmond, British Columbia-based Radius Security.
Radius Security is the security systems and monitoring branch of Vancouver Fire and Security and the first Canadian monitoring center to adopt the cloud-based Calipsa technology. Calipsa’s false alarm reduction technology uses artificial intelligence with deep learning technology to filter out false alarms with a 99.5% accuracy rate.
Recognizing genuine alarms
Calipsa’s technology recognizes genuine alarms caused by human or vehicle movement, while filtering out notifications resulting from nuisance factors such as animals, lighting, weather or foliage.
With our Redhanded Human Detection solution, our focus is on catching criminals in the act"
Aleksei Bulavko, research, development and production manager at Radius Security, said the Calipsa technology would further enhance his company’s reputation as a top-tier monitoring station. “With our Redhanded Human Detection solution, our focus is on catching criminals in the act,” he said. “Calipsa enables us to do this at a greater capacity, meaning an even faster police response time for our customers.”
False alarm filtering platform
Brian Baker, vice president, Americas, Calipsa, said the false alarm filtering platform will enhance Radius Security operators' efficiency by enabling them to concentrate on genuine alarms. “Also, Calipsa’s cloud-based technology requires Radius Security to install no hardware devices,” he said.
“Initial installation and future upgrades are quickly and remotely integrated with station operating software and customer cameras without incurring on-site installation costs.” Calipsa’s false alarm reduction software is easily scalable, making it ideal for any growing monitoring station and customer business. A platform dashboard enables station managers to monitor the software’s performance, including detecting idle cameras that may need replacement or repositioning.
Security is the biggest concern for military facilities. Modern military facilities face a wide variety of risks, from cyber attacks to data theft to terrorist attacks. The Corpus Christi Naval Air Station in Corpus Christi, Texas for example, dealt with three separate attempted intrusions in a year and a half. In one incident, man driving a stolen SUV entered the base and attempted to exit through a separate entrance, but crashed his car and was then shot by security personnel.
In another incident, just eight months later, the base went on lockdown again before an armed man was taken into custody. Then, in the third incident, seven months later, there was a third attempt to break into the base, this time by a man with known ties to terrorist groups.
Protect sensitive facilities
The man fired at the security guard at an entrance gate and struck her bulletproof vest before she raised the barrier to prevent the attacker from getting inside the base. The base’s security did a good job of preventing any serious damage during these attacks, but with the frequency of these incidents, more modern security may be needed to ensure that the next attack doesn’t end in catastrophe.
Modern times call for modern security solutions, and Helios is the perfect option to protect sensitive facilities
Modern times call for modern security solutions, and Helios by UVeye is the perfect option to protect sensitive facilities. Helios is safer, improves security, makes security officers’ jobs easier, works in extreme conditions, and can even identify vehicle passengers with high body temperatures to help prevent the spread of COVID-19. Helios UVIS uses machine learning and artificial intelligence to inspect the undercarriage of any vehicle that drives over its multiple high-resolution cameras.
Improved safety for facilities
It alerts the user on any irregularities or foreign objects hidden in the undercarriage. Inspecting the undercarriages of vehicles is very difficult for security personnel. Before Helios, there was never an effective solution for under-vehicle inspection, and even if security officers inspect the undercarriage, they may not know what to look for. They may not recognize a threat and allow a vehicle with a weapon, bomb, or other illicit or dangerous item to enter the facility.
Security officers put themselves at great risk by manually inspecting vehicles, as evidenced by the attempted terrorist attack in Corpus Christi in May. With Helios, the security guard can inspect the vehicle from a safe distance by simply looking at the high-resolution images and checking for anything suspicious or unusual in the undercarriage.
Detecting potential threats
Scanning all vehicle types for undercarriage threats
Automatic detection of illicit materials below the vehicle on the first pass
Full integration to barriers, bollards and access control systems
Driver and passenger fever detection capabilities
No matter how well trained a security officer is, all humans make mistakes. However, with Helios, the chances of human error are greatly reduced. The system produces high-quality images of the undercarriages and alerts the security officer of any irregularities. It will even detect issues in the undercarriage of a vehicle passing through the system for the first time. Detecting potential threats is easy with UVIS.
Works in extreme conditions
The high-resolution images allow a security officer to see the entire undercarriage very clearly to determine whether there is anything suspicious. Instead of manually inspecting the vehicle and putting themselves at risk, security officers can inspect the vehicle from a more relaxed and safer environment and zoom in on the smallest details.
Helios can withstand up to 20 tons per axle, meaning that it will survive being run over by massive vehicles
Plus, Helios provides a side-by-side view of previous scans from the same vehicle if it has gone through the system before to make it easier for the officer to notice any differences. Helios can withstand up to 20 tons per axle, meaning that it will survive being run over by even massive vehicles. It is fully operational at temperatures between -20 and 40 degrees Celsius and is IP 68/54 compliant, meaning it offers full protection against sand, dust, or rain.
UVeye’s thermal sensor can also detect the body temperatures of vehicle passengers, which can identify visitors with potential fevers, improving the safety of everyone on the base. UVeye fully supports 3rd party integration and provides a multiple layer of security for any facility
Integrations made in the past:
Face Detection / Recognition
Arm Barriers / Bollards
VMS (Video Management System)
Integrating to the centralized server provides the capability of connecting multiple systems or lanes across different sites while enabling central management and control via one screen. The centralized management system enables the client to access the different systems deployed and manage the different users and historical data.
Access control systems
The undercarriage of a vehicle is one of the most important parts of the vehicle to inspect, but also one of the most difficult areas to inspect. Helios is the perfect solution to prevent any weapons, bombs, drugs, or other illegal and dangerous items from entering military facilities.
It can make everyone in the facility safer, including security officers, who will no longer need to manually inspect vehicles and put themselves in harm’s way. Integrating with other security and access control systems can provide a multi layer approach to tighten the entry and exit points to any sensitive site while keeping personnel and data safe.
A frequent target for terrorism, airports faces considerable challenges in securing the flow of traffic. Concerns over security can ground flights, grinding operations to a halt. Whether one needs to inspect all vehicles entering the airport grounds or just those entering higher-security areas like the apron and the container space, there is no room for long waits during inspections.
Passengers are counting on their flights leaving on time, and security delays could lead to flight delays. However, one can’t afford to compromise the security standards either.
Propane gas cylinders
While security is usually heavy in the terminal buildings themselves, in some international and local airports, there are not enough measures in place in the external road and parking areas leading to the departure and arrival zones.
The attack resulted in ‘only’ five people injured and heavy damage to the terminal building
For example, on June 30, 2007, a Jeep Cherokee laden with propane gas cylinders and gasoline cans was driven at a high speed into the doors of the Glasgow Airport departure area on one of the busiest days of the year. The attack resulted in ‘only’ five people injured and heavy damage to the terminal building. Incidents like this one really emphasized the need for an automatic and efficient method for inspecting vehicles entering the different areas in and around the airport.
Heavy traffic control
The airport apron, flight line or ramp is the area of an airport where aircraft are parked, unloaded or loaded, refilled, or boarded. In most airports, the security regulations in this area are heavy, and only authorized, trained personnel are allowed to drive in and out while withholding heavy traffic control rules.
One can only imagine the danger of terrorists or other hostile people entering in an authorized vehicle. There needs to be a method to make sure these types of people cannot use fake license plates if the recurring vehicle list does get into the wrong hands. While clearly the number of civilian passengers who use airports has risen dramatically as time has gone by, the risks associated with airports and airline travel have also increased.
Identifying vehicle passengers
The device is available in both a mobile and a stationary, fixed version and works in extreme conditions
The threat of bombs or cargo-related explosives is significant, but security measures have not necessarily risen at the same rate as threats and number of flights and passengers. The financial and physical risks of illicit and dangerous materials entering sensitive areas in and around an airport are clear, and a new generation of screening is required to tackle these challenges. UVeye scans, analyses, and records all passing vehicles, ensuring security while also keeping flights on schedule.
Helios by UVeye is the perfect option to protect both the access roads and parking facilities around the airport and important areas like the apron. Helios improves security while keeping security personnel safe. The device is available in both a mobile and a stationary, fixed version and works in extreme conditions. Their technology can even identify vehicle passengers with high body temperatures to help prevent the spread of COVID-19.
Helios UVIS uses machine learning and artificial intelligence to inspect the undercarriage of any vehicle that drives over its multiple high-resolution cameras. It alerts security personnel about any irregularities or foreign objects hidden in the undercarriage, whether its weapons intended to be used in a terrorist attack, improvised explosive devices, or illegal cargo to be loaded onto a plane in the apron of the airport.
Inspecting the undercarriages of vehicles is very difficult for security personnel and is sometimes neglected due to the number of vehicles entering an airport. Before Helios, there was never an effective solution for under-vehicle inspection, and even if security officers inspected the undercarriage, they probably didn’t know what to look for.
Reducing inspection times
UVeye is here to solve this problem by providing drive-through solutions in selected access points
UVeye has built its products as drive-through solutions that reduce inspection times to as little as a few seconds, supporting a quick flow of vehicles entering or leaving the premises. With Helios, the security guard can inspect the vehicle from a safe distance by simply looking at the high-resolution images on a tablet or computer screen, checking for anything suspicious or unusual in the undercarriage, automatically marked by the system.
Many airports do not have enough staff or the capacity to inspect every vehicle entering or leaving secure areas. UVeye is here to solve this problem by providing drive-through solutions in selected access points, alerting security personnel of any irregularities or potential threats attached to a vehicle. Helios is the only product on the market able to detect issues in the undercarriage of a vehicle passing through the system for the first time.
Fingerprint ID feature
The apron of the airport is the most sensitive area of the facility, and with UVeye’s technology and unique fingerprint ID feature, every vehicle entering or exiting the apron will be marked using artificial intelligence and receive a unique ID that will be saved in the database. This way, security personnel will not need to rely on license plates alone when inspecting vehicles on the authorized vehicle list.
If someone attempts to enter using a fraudulent license plate, the system will recognize that it is not the same vehicle, and the attempted trespassers will be stopped in their tracks. Helios can withstand up to 20 tons per axle, meaning that it will survive being run over by even massive vehicles like trucks and buses. It is fully operational at temperatures between -20 and 40 degrees Celsius and is IP 68/54 compliant, meaning it offers full protection against sand, dust, or rain.
Airport access roads
UVeye’s thermal sensor can also detect the body temperatures of vehicle passengers entering the external airport access roads, which can help identify visitors with potential fevers, improving the safety of everyone in and around the airport.
Airports around the world can enhance their security efforts with automatic vehicle inspection systems
Integrating to the centralized server provides the capability of connecting multiple systems or lanes across different sites while enabling central management and control via one screen. The centralized management system enables the client to access the different systems deployed and manage the different users and historical data. Airports around the world can enhance their security efforts with automatic vehicle inspection systems, providing an extended layer of safety in and around the airport.
Access control systems
Uveye took into consideration heavy traffic entering the access and parking areas of an airport when it built its drive-through scanner, Helios, which can quickly find any threat attached to or hidden in the undercarriage without slowing down vehicle traffic.
Helios is the perfect solution to prevent any weapons, bombs, drugs, or other illegal or dangerous items from entering the apron of the airport and potentially accessing the airplanes about to take flight. Integrating Helios with other security and access control systems can provide a multi-layer approach that will tighten the entry and exit points to any sensitive site while keeping personnel and data safe. UVeye is ideal for airports and also can be implemented at border crossings, seaports, military bases, embassies, data centers, and other secure perimeters.
Artificial intelligence is more than just the latest buzzword in the security marketplace. In some cases, smarter computer technologies like AI and machine learning (ML) are helping to transform how security operates. AI is also expanding the industry’s use cases, sometimes even beyond the historic province of the security realm. It turns out that AI is also a timely tool in the middle of a global pandemic. We asked this week’s Expert Panel Roundtable: How is artificial intelligence (AI) changing the security market?
Facial recognition is the latest technology to be targeted because of concerns about privacy. If such concerns cloud the public perception, they can be harmful to technology markets. Whether the concerns are genuine or based on misinformation is often beside the point; the practical damage has already been done. But beyond market demand, what is the impact of privacy concerns on technology innovation? We asked this week’s Expert Panel Roundtable: Are privacy concerns stifling innovation in security and related markets?
New software developments have dominated technology innovation in the physical security industry for years, making more things possible to the benefit of integrators and end users. However, hardware is another important piece of the puzzle. No matter how great your software, the system doesn’t perform unless the hardware works too. In our enthusiasm over software developments, let’s not overlook the latest in the hardware world. We asked this week’s Expert Panel Roundtable: How do hardware improvements drive better physical security?