Geutebruck Introduce New G-SIM Security Information Management System
Geutebruck Introduce New G-SIM Security Information Management System

The new Geutebruck security information management system, G-SIM is the ultimate reliable assistant for managing, filtering and processing the vast quantities of security information generated by medium to large networked video security systems. It provides the best in video event handling and intuitive user operation, even for very extensive and highly complex systems with dozens of sites, thousands of cameras and numerous other alarm generating systems. G-SIM uses graphical representations which are quick and easy to understand and interpret, combined with familiar drag-and-drop functionality which only allows actions relevant to the prevailing situation. High levels of customisation provide each operator in the network with the information he needs in his own individually preferred format, quickly, intuitively and reliably. G-SIM’s key features include central user management, easy administration and operation using site plan-based control elements as well as the central reporting of all relevant operating and system events. Its system architecture is freely scalable and designed to enable effortless interaction between users whether they are within the network or access it remotely. G-SIM allows you to spread the processes involved in managing more powerful systems efficiently across a variety of workstations and to pass work from one operator to another to delegate or escalate tasks. G-SIM provides a perfect fit solution for each application and each user and comprehensive support for your own security concept. You can configure functions such as the live and recorded image display; the site plan-based control; the alarm management; the delegating and reporting tools; the complete documentation of all systems and operator actions as well as the sophisticated redundancy provision, to suit each application and each user.  The comprehensive user administration function and the universal audit trail together safeguard data protection and guarantee evidential quality of images and footage. G-SIM integrates seamlessly with all Geutebruck systems and with the vast range of third party interfaces they support, so it also facilitates the seamless processing and management of security information by subcontractors.  Key features: Complete flexibility for any number of networked workstations Intuitive operation using individually designed site-plan-based operator interfaces Ideal overview thanks to the seamlessly integrated video wall solutions Complete video stream management for live and recorded video Efficient alarm management with site plans, video and all other relevant information Comprehensive support for delegation, i.e. for the hand-over of event or alarm processing, the allocation of tasks and for switching internal system communication between users Perfect data protection as a result of the flexible administration of user rights and the complete audit trail High reliability backed up with sophisticated redundancy Freely scalable even for very extensive systems Management of all subcontractors and third party systems integrated into the Geutebruck system

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Geutebruck's New 'fading Long Term Memory' Slashes The Cost Of Video Archiving
Geutebruck's New 'fading Long Term Memory' Slashes The Cost Of Video Archiving

Geutebruck CCTV systems can now retain high quality video for long periods using only a fraction of the normal storage capacity.  Their new ‘fading long term memory' (FLTM) option reflects the fact that, where different kinds of event are discovered, handled and investigated in different timescales; there is no real need to continue storing video at the full 25 fps for a month or more, if lower frame rates suffice after the first few days.  FLTM software therefore enables you to progressively reduce the frame rate of your stored footage as time goes by, in accordance with your assessment of residual risks.Let's imagine your system has to deal with robbery, vandalism and fraud, and you have to retain a video record for 30 days.  Robberies are discovered and pursued promptly, so within three days all relevant 25 fps footage has been reviewed and backed up.  Vandalism is dealt with in a week and 6-7 fps footage is adequate.  The timescale for fraud is longer but 1 fps provides the necessary evidential detail.  Normally, for high quality real-rime video @ 4Mbit/s, storage per camera would be about 43.2 GB per day, or 1.3 TB for 30 days.  But with FLTM you only need: 3 days @ 25 fps ≈ 130 GB + 4 days @ 6.25 fps ≈ 90 GB (differential compression reduces data by about 50%)+ 23 days @ 1 fps (I-frames only) ≈ 70 GB  A total of only 290 GB per camera - which enables you to make significant hardware savings without any loss of benefit, utility or security.

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VCA4IP, Geutebruck’s Video Content Analysis, Now Available For Third Party IP Cameras
VCA4IP, Geutebruck’s Video Content Analysis, Now Available For Third Party IP Cameras

Geutebruck video analysis algorithms are already deployed in more than 50,000 digital video cameras round the world.  Now, with its latest software offering, VCA4IP, Geutebruck is making these tried-and-tested professional video content analysis algorithms available for installation in third party IP cameras when used with re_porter or GeViScope CCTV systems. Activity detection (AD), video motion detection (VMD) and Dual-Sensor functions are each available separately by individual licence.  AD provides reliable movement detection for indoor and selected outdoor applications with a very low false alarm rate owing to the effective suppression of environmental influences.  For critical outdoor applications where you want to differentiate between objects of different sizes, movements in different directions and at different speeds, then VMD is the best choice. It can ensure that permitted movements don't trigger unnecessary alarms, by for instance, ignoring vehicles leaving a site, or small animals straying into the scene.  For exceptionally high targeting accuracy and even better suppression of unwanted alarms, Geutebruck's Dual-Sensor uses video motion detection and object classification algorithms in parallel, with alarms only being triggered when both sets of criteria are met.VCA4IP can process resolutions up to several megapixels.  Built-in diagnostics report sabotage and monitor the connection status and contrast levels to avoid the generation of false reports.  Any number of parameter profiles (day/night switches) can be stored for each camera channel.  All camera channels are easily configured in the standard user-friendly set-up screen. 

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Geutebruck Introduces The Next Generation Of ‘omnibrid’, Multi-standard Operating Software
Geutebruck Introduces The Next Generation Of ‘omnibrid’, Multi-standard Operating Software

‘Hybrid was yesterday; the future is omnibrid,' is how Geutebruck is heralding the introduction of its new generation of setup and operating software for GeViStore and GeViScope platforms this spring. Not only does this high performance software support analog, digital and megapixel cameras as well as ONVIF-compliant IP cameras and even16/9 HD-format ones, but it also enables any M-JPEG and H.264 based standard digital compression processes (including specialist video surveillance ones like MPEG4CCTV, H264CCTV) to be used in the same system. This multi-standard capability means that more than one compression standard can be used in one single system and the end-user is no longer tied to one particular process. And, if a camera signal is not available from the source in the optimized MPEG4CCTV format, then the M-JPEG stream can be trans-coded in real time.From Geutebruck's point of view the arrival of ‘omnibrid' software marks another significant step towards achieving the ultimate goal of producing video security systems which record only those images which are really relevant to the user, and which give him the best possible conditions for extracting the valuable information from them. Geutebruck's video sensors and intelligent video analysis software already offer a reliable and proven means of efficiently selecting, managing, and minimizing relevant material for onward transmission and/or recording, while its own specialist, CCTV-friendly, standard-compliant compression processes retain fluid motion, and consequently valuable detail, in situations and processes where the vast majority of other H.264 implementations only hesitate and shudder. However, until now the only IP cameras whose video stream could be processed using Geutebruck's video analysis software have been those few with added functionality.‘Omnibrid' software lifts this restriction and opens the door for much greater flexibility in product selection. It also provides more scope for intelligent data management, enables the use of different compression formats for different purposes, and gives system designers much more scope to achieve optimum customisations.

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Geutebruck’s New G-Tect/VMX – Professional Detection, Smart And Simple
Geutebruck’s New G-Tect/VMX – Professional Detection, Smart And Simple

Geutebruck’s G-Tect/VMX is a new video motion detection solution for professional use, which is both extremely quick to set up and exceptionally reliable. It not only detects movement but differentiates between potentially relevant moving objects and background changes. G-Tect/VMX continuously analyses and evaluates all picture contents, and regularly adjusts its ‘understanding’ of the background. Thanks to the latest smart algorithms which continually adapt to the current image contents, G-Tect/VMX offers unprecedented accuracy at suppressing unwanted alarms caused by systematically occurring environmental effects such as moving foliage, rain, snow or headlights. It recognises these images changes resulting from weather as a systematically occurring background changes and therefore tolerates them.  Setting up a sterile zone where any intruder triggers an alarm is a simple mouse-clicking operation.  Configuring direction-dependent detection for a zone is quick and easy too. You can then copy settings across to other alarm zones and cameras with similar site conditions, for example to set up a series of cameras to monitor a fence. Finally there is a single intuitive global sensitivity control to optimize all the settings. – This minimalist design approach to system settings slashes the time required for system installation and makes it predictable. G-Tect/VMX is designed for seamless integration in the Geutebruck system world and comes with license-free activation of Geutebruck’s classic VMD detector, to enable legendary dual sensor operation and the best possible protection of critical areas. Also being unveiled alongside this detection solution is Geutebruck’s new G-Tect/MoP pixelating function which maintains data protection privacy for public access areas by automatically masking moving objects in live displays or archived image data while still allowing authorized personnel access to the full image for serious incident investigation and evidential purposes. Other innovations on the Geutebruck stand at Security 2012 include: the G-Scope/1000 range of new compact video platforms for top performance in tight spots; a new range of G-VRaid units; the re_porter-XRdb with a hot swap database as well as G-SIM the exceptionally powerful new video management system for large complex installations. To see for yourself visit stand 409 in hall 2 at Security 2012 or go to www.geutebrueck.com for more information.

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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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