MOBOTIX Launches Lowlight Exposure Optimisation – MxLEO And New DoorStation Hardware
MOBOTIX Launches Lowlight Exposure Optimisation – MxLEO And New DoorStation Hardware

MOBOTIX AG launches the new Lowlight Exposure Optimisation (MxLEO) software and new hardware for its building automation/home automation offering. The MxLEO is part of the latest MOBOTIX firmware 4.1.9 that also includes support for Hemispheric 5 Megapixel technology sensor modules. "MxLEO is the latest in MOBOTIX image enhancing technology," says Dr. Ralf Hinkel, founder and CEO of MOBOTIX AG. "The main benefits for all MOBOTIX users are that our camera solutions now offer a dramatically enhanced sharpness of images, considerably less noise in these images, extremely user-friendly light settings in the camera(s), optimised recording and alarm results using the added MxActivitySensor intelligence. All these benefits in low-light conditions are made possible through the new MOBOTIX 5 Megapixel technology". MOBOTIX is adamant that one of the most important criteria for a security camera is to offer high-quality images no matter what. "Our users do not have the luxury to choose when and how they want to use MOBOTIX camera solutions whether it is day, night, good/bad weather or whatever. Our technology is put to test everyday and in the worst conditions imaginable for a camera. The sun is shining directly at it - no problem the camera handles it through the built-in automatic exposure settings, unwanted movement in the images triggering alarms - no longer a problem as the MxActivitySensor in the camera reduces these alarms and now in extreme low light conditions - the MxLEO enhances the images to a completely new level", continues Dr. Hinkel. The Lowlight Exposure Optimisation software is included in the firmware release 4.1.9 and is as all MOBOTIX software and firmware free of charge. It can be downloaded on all 5 Megapixel MOBOTIX cameras and is included as standard from today. Apart from the MxLEO does the 4.1.9 also include support for MOBOTIX new Hemispheric sensor modules for the newly released S15 and M15 camera platforms. The firmware 4.1.9 enhances the MOBOTIX door station offering further as MOBOTIX recently launched the AudioMount for the S14/S15 camera platform. "We have customers around the world that want to build their own building automation/home automation solutions," says Dr. Hinkel. "As a customer-focused company we have seen the possibilities and advantages of using our core strength in decentralised product technology to allow the S14/S15 product platform to be the main product for our partners to build their own door station offerings around. For instance mailboxes, different steel casings, etc. are solutions that MOBOTIX does not offer but we can help our customers through sharing our technology solutions with them. The AudioMount is extremely simple to install and integrate for the users." MOBOTIX also offers a new door opener, the MxDoorMaster for their users to integrate in their own solutions. MOBOTIX also launches a new component for the T24 Door Station product platform, the BellRFID keypad. The BellRFID keypad offers the possibility of adding a simplified keypad for usage in the T24 Door Station product platform. "The BellRFID is modular doorbell concept that simplifies the usage for many users. We have also integrated the latest in RFID technology so that users can open their doors completely secure with an RFID card. Of course the BellRFID includes the standard in MOBOTIX Door Station technology including leaving and retrieving messages from the integrated mailbox and connection through the MOBOTIX App ", continues Dr. Hinkel. MOBOTIX also offers a unique service for their customers. "All MOBOTIX customers using the new BellRFID module can free of charge order their wanted and needed personalised name signs for the BellRFID module using optimised paper against UV radiation. We thought all our users were worth that", says Dr. Hinkel.

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New Recording Management Software From Hanwha Techwin America
New Recording Management Software From Hanwha Techwin America

Samsung has launched new recording management software to facilitate the easy set up, monitoring and recording of images captured by the company's iPOLiS network camera and dome ranges. A four-channel version of Samsung's NET-i Ware recording software is available license-free with various upgrade versions on offer to allow a user to control up to 64 recording channels. The primary objective of the NET-i Ware recording software is to provide a full control, administration and set-up of cameras and domes from the company's iPOLiS range of network products, including the latest HD megapixel series, and allow images to be recorded and played back via a PC across the network. With this in mind, Samsung's design engineers have packed the NET-i Ware software with features to ensure operators are able to take full advantage of the latest IP technology. Various compression methods are therefore supported, including H.264, MPEG-4 & MJPEG. Multiple back-up video formats are also supported as are a number of audio formats, e.g. G.726, G.711, G.723 and PCM. The device registration process of the NET-i Ware software allows an operator to almost effortlessly register, modify or delete up to 64 Network devices and configure each one individually for scheduled or pre and post event recording. Other key features of the NET-i Ware software include: The NET-i Ware SNS-SF software will automatically backup/archive at a pre-determined time either every day or every week on a per camera basis to a file location of choice. The recorded data has a global auto deletion mode as well as an option to automatically overwrite the oldest video when the HDDs are full. The automatic sending of an email informing the recipient of the camera name, event type, event time and a snapshot JPEG image of what has triggered an alarm or a camera's motion detection function. An administrator can also decide if they wish to record both video and audio and if certain cameras should be hidden from an operators view. The NET-i Ware SNS-SF software empowers administrators to set-up User Groups, with each group given different levels of control, e.g. Set-up, PTZ controls covert monitoring, search facilities and back-up.

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Video Surveillance software - Expert commentary

Fighting Illicit Trade With Artificial Intelligence
Fighting Illicit Trade With Artificial Intelligence

AI has opened doors to many transformation opportunities and increasingly minimised many risks  -- personal and economic -- that are alarming today. And illicit trade is one of those pains AI can offer a promising solution against. Illicit trade is a serious threat and problem that affects governments and societies on every level. While governments lose financial funds in tax revenues, thriving businesses are losing potential customers, and customers are getting tricked into purchasing counterfeit, low-quality products. Transnational organized crime generates revenue of $2.2 trillion through transnational criminal organizations, complicit corrupt facilitators, and other threat areas. The list of criminal activities is long and involves such horrific crimes as trafficking of narcotics, opioids, arms, humans, fake medicines and other counterfeit and pirated goods; illegal tobacco and alcohol; illegally-harvested timber, wildlife, and fish; pillaged oil, diamonds, gold, and other natural resources and precious minerals; stolen antiquities; and other contraband or valuable items sold across streets, social media, online marketplaces, and the dark web. In short, illicit trade is a contributing cause to large-scale insecurity and instability across markets. AI-driven technologies Here is where revolutionary AI-driven technologies come in, with their capability to fight illicit trade across markets. AI technologies in this specific application promise to help build safer and more secure communities in the future. There are a few ways that AI can support the ongoing fight against illicit trade on a global scale in a tangible way. Transnational organized crime generates revenue of $2.2 trillion For financial transactions at risk of fraud and money laundering, tracking has become an increasing headache if done manually. As a solution to this labour-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. Among these documents widely in circulation, most have an unstructured and inconsistent format -- from invoices to insurance documentation -- are a complex system to tackle; in this whirlwind of pages, the likelihood of non-compliant and misrepresented figures to go by unnoticed. But this is also where AI can thrive as solutions become a necessity, enhancing humans’ capabilities of identifying fraud risks in the early stages. Relying on natural language processing, the technology can begin interpreting the text from the scanned and digitised documents in order to process trade information at high speed. In this context, AI-powered solutions are capable of comparing, contrasting document information and identify anomalies worth looking into further. By automating a large portion of the process, AI-driven technology allows the staff to focus on more pressing, high-involvement issues that require human judgement while saving time on the time-consuming manual work of analyzing documents by hand. Identifying covert interactions between criminals As criminal networks become increasingly intricate in their illegal operations, cutting-edge AI technology is crucial in the battle against it. In 2019, EU launched a project with the goal to deploy advanced AI technology and robots to identify smuggling across the borders of Portugal, Estonia, Italy, Greece, Bulgaria, Romania and Hungary.  With the help of AI, it will be possible to send drones and autonomous vehicles to the most dubious border areas in order to enforce border control and detect smugglers quickly and efficiently. Illicit trade triggers a chain reaction of negative impact across industries, governments and individuals The issues the EU is trying to address through the project include drug and weapon smuggling, as well as human trafficking. From tight border control tracking crossings to communication monitoring to identify covert interactions between criminals on both sides of the border, the project is one among many that will expand the scope of solutions to the illicit trade problems today. AI’s contribution is significant on many levels: from predicting crime and threats to safeguarding public health and safety (in face of human trafficking, counterfeit medicines, and toxic products), these are simply inklings of major shifts that AI technology promises for the future of the battle against illicit trade. So why is fighting illicit trade so crucial? Here are a few reasons why AI’s role in fighting this global issue is crucial. In a world where customers run the risk of being deceived and tricked into buying counterfeit products, companies who provide the original products suffer through the loss of revenue and market share. The same companies are also robbed of their intellectual property and proprietary data. Furthermore, people who are employed in these companies run the risk of losing their jobs as a result of revenue and market share loss. And finally, the last straw is the loss of brand integrity and reputation to the need to compete with low-quality, sometimes even dangerous counterfeit products. Just like a domino effect, illicit trade triggers a chain reaction of negative impact across industries, governments and individuals. And it’s time for AI to step in and stop it.

Edge Computing, AI and Thermal Imaging – The Future of Smart Security
Edge Computing, AI and Thermal Imaging – The Future of Smart Security

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 New Marriage Between AI and Stadiums
The New Marriage Between AI and Stadiums

Stadiums around the world are still paralyzed from the effects of COVID-19. Fans and spectators in masses have been absent from stadiums since April and there doesn’t seem to be a concrete plan on how or when they’ll be able to return to near capacity. The NBA recently opted to form a bubble philosophy concept in Disney’s facilities, although it’s been a relative success, it’s also been a $200 million temporary solution. This then begs the question: How long can stadiums survive like this without spectator’s present? History tells us that stadiums, venues and sport recover from disasters, so what can stadiums do to speed up the process? This is the catalyst for AI to be integrated on mass level to stadiums around the world. AI is the answer AI’s role in getting fans and spectators back is huge, through capabilities such as: Social Distance Monitoring Crowd Scanning/Metrics Facial Recognition Fever Detection Track & Trace Providing Behavioural Analytics Technologies such as IREX.ai is now working alongside National Leagues, Franchises and Governing Bodies to implement AI surveillance software into their CCTV/surveillance cameras. This is now creating a more collaborative effort from the operations team in stadiums, rather than purely security. Stadiums around the world are still paralyzed from the effects of COVID-19 AI surveillance software such as IREX.ai when implemented into the surveillance cameras can be accessed by designated users on any device and on any browser platform. Crowd metrics Arming stadiums with AI-powered surveillance tools can detect crowd metrics such as “people counting” and “group statistics”. This ensures stadium personnel can monitor social distancing with precision, accuracy and immediately. Alerts can be set up throughout parts of the stadium to alert senior staff members when overcrowding can appear with real time videos, analytics and photos to their hand-held device, such as a smartphone. Fever detection Thermal cameras have been implemented throughout facilities including stadiums and are helping assist to spot people with elevated temperatures. What IREX.ai implements is an alert system, coupled with facial recognition of any individual(s) that read an elevated body temperature. This alert system then provides security and health officials with a photo of the individual with the elevated body temperature, meaning staff can react quicker to the situation prevent this individual from entry. Pandemic monitoring by facial recognition  Thermal cameras have been implemented throughout facilities including stadiums and are helping assist to spot people with elevated temperatures Through facial recognition, staff members will be able to locate individuals through simply uploading a photo. It has never been easier to find a person of interest. With masks becoming an everyday part of society, facial recognition has come under scrutiny regarding the accuracy when a mask is worn. Irex.ai still maintains a 96% accuracy with individuals wearing masks and can set up alerts for any individuals not wearing a mask. Another important aspect of facial recognition is finding persons of interest quickly through technology like IREX.ai’s “searchveillance”. The future is here. Designated staff can track a person from when they enter the stadium by simply uploading their photograph. An example of how this can assist stadium personnel is to help relocate lost children inside the stadium with their guardians/parents when they are separated. Another attribute would be any individuals banned from entering the stadium would trigger alerts once they appear under surveillance, a fantastic collaborative tool to use with Law Enforcement.    Return on investment With security solutions, one of the biggest issues with any security investment is a lack of an ROI. This is where AI security is breaking the mould. The ability to provide business analytics, consumer/fan behaviours, traffic patterns, etc, allows other departments within the organization to gain vital information that can assist with their strategies and practices. Stadium security will never be the same in a post-COVID world, so why will its practices stay the same? AI & Stadiums is no longer the future, it’s the 2020 solution.

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