The GeViScope: A top CCTV performer with high end user appeal from Geutebruck
The GeViScope: A top CCTV performer with high end user appeal from Geutebruck

The GeViScope enterprise surveillance system is a powerful DSP-based hybrid and Geutebruck's top specification video security platform. High performance hardware and open architecture are combined with a continually expanding range of high end software functions to provide the ideal ingredients for creating enduring, integrated, perfect-fit solutions. Users like the GeViScope because of its outstanding video management and because it delivers video search results so fast (in under 100 milliseconds). They like the fact that it is backwards compatible, open for future expansion and integration and has interfaces for a vast number of third party cameras and systems. They like its single easy-to-use operator interface with excellent guidance and assistance; and they like the fact that it has effective control over its use of resources (bandwidth, storage capacity and energy). They value too its advanced diagnostics tool which observes all key aspects of their system, monitoring each DVR and reporting back on software versions and age of oldest video, verifying the recording, and checking for the required recording depth, changes in camera field-of-view (CPA), data throughput, etc. Installers and system administrators like the GeViScope because it enables them to manage lots of systems in the network easily, to carry out remote servicing, software updates and remote setups, as well as to manage alarm transmission via the network. System administrators find all the settings they need to ensure the precise allocation of rights and responsibilities, so that every user has access to the information he is officially entitled to see.

Add to Compare
Geutebruck's software features impress visitors
Geutebruck's software features impress visitors

A constant stream of end-users and potential sales partners made the ISC West show very successful for the Geutebruck Security team. "Everyone was extremely impressed with the maturity of the product offering" reported Carl Raubenheimer, the company's Executive Vice President. "Interest was pretty evenly divided between all our exhibits but there was universal excitement with our software functionality."Both the GeViScope and the new GeViStore-IP video server-plus-storage solution support the use of Geutebruck's fast, efficient video encoding which gives normal, latency-free control of PTZs and speed domes, as well as delivering constant picture quality whatever the content. Besides well-known functions such as camera position authentication and dual channel streaming, it also offers lesser known ones such as ‘dynamic live streaming' (DLS) and 'fading long term memory' (FLTM).DLS establishes a feedback loop to ensure that the only picture data which is encoded and fed into the system is exactly what the display currently needs to meet the user's requirements and no more. It therefore minimizes network load and enables each display server to handle many more streams. FLTM, meanwhile enables high quality video to be retained for long periods using only a fraction of the normal storage capacity. Configured appropriately, FLTM progressively reduces the frame rate of stored footage over time, reflecting the different timescales in which different kinds of event are discovered and investigated, and the gradual reduction of residual risks. It can therefore slash archive costs without affecting utility or security.

Add to Compare

Browse Video Servers (IP Transmission) / Video Encoders

Video servers (IP transmission) - Expert commentary

Securing mobile vehicles: The cloud and solving transportation industry challenges
Securing mobile vehicles: The cloud and solving transportation industry challenges

Securing Intelligent Transportation Systems (ITS) in the transportation industry is multi-faceted for a multitude of reasons. Pressures build for transit industry players to modernise their security systems, while also mitigating the vulnerabilities, risks, and growth-restrictions associated with proprietary as well as integrated solutions. There are the usual physical security obstacles when it comes to increasingly integrated solutions and retrofitting updated technologies into legacy systems. Starting with edge devices like cameras and intelligent sensors acquiring video, analytics and beyond, these edge devices are now found in almost all public transportation like buses, trains, subways, airplanes, cruise lines, and so much more. You can even find them in the world’s last manually operated cable car systems in San Francisco. The next layer to consider is the infrastructure and networks that support these edge devices and connect them to centralized monitoring stations or a VMS. Without this layer, all efforts at the edge or stations are in vain as you lose the connection between the two. And the final layer to consider when building a comprehensive transit solution is the software, recording devices, or viewing stations themselves that capture and report the video. The challenge of mobility However, the transportation industry in particular has a very unique challenge that many others do not – mobility. As other industries become more connected and integrated, they don’t usually have to consider going in and out or bouncing between networks as edge devices physically move. Obviously in the nature of transportation, this is key. Have you ever had a bad experience with your cellular, broadband or Wi-Fi at your home or office? You are not alone. The transportation industry in particular has a very unique challenge that many others do not – mobility Can you trust these same environments to record your surveillance video to the Cloud without losing any frames, non-stop 24 hours a day, 7 days a week, 365 days a year? To add to the complexity – how do you not only provide a reliable and secure solution when it’s mobile, travelling at varying speeds, and can be in/out of coverage using various wireless technologies? Waiting to upload video from a transport vehicle when it comes into port, the station, or any centralised location is a reactive approach that simply will not do any longer. Transit operations require a more proactive approach today and the ability to constantly know what is going on at any given time on their mobile vehicles, and escalate that information to headquarters, authorities, or law enforcement if needed; which can only occur with real-time monitoring. This is the ultimate question when it comes to collecting, analysing, and sharing data from mobile vehicles – how to get the video from public transportation vehicles alike to headquarters in real time! Managing video data In order to answer this question, let’s get back to basics. The management and nature of video data differs greatly from conventional (IT) data. Not only is video conducted of large frames, but there are specific and important relationships among the frames and the timing between them. This relationship can easily get lost in translation if not handled properly. This is why it’s critical to consider the proper way to transmit large frames while under unstable or variable networks. The Internet and its protocols were designed more than two decades ago and purposed for conventional data. Although the Internet itself has not changed, today’s network environments run a lot faster, expand to further ranges, and support a variety of different types of data. Because the internet is more reliable and affordable than in the past some might think it can handle anything. However, it is good for data, but not for video. This combination makes it the perfect time to convert video recording to the Cloud! Video transmission protocol One of the main issues with today’s technology is the degradation of video quality when transmitting video over the Internet. ITS are in dire need for reliable transmission of real-time video recording. To address this need a radical, yet proven, video transmission protocol has recently been introduced to the market. It uses AI technology and to adapt to different environments in order to always deliver high quality, complete video frames. This protocol, when equipped with encryption and authentication, enables video to be transmitted reliably and securely over the Internet in a cloud environment. One of the main issues with today’s technology is the degradation of video quality when transmitting video over the Internet Finally, transportation industry has a video recording Cloud solution that is designed for (massive) video that can handle networks that might be experiencing high error rate. Such a protocol will not only answer the current challenges of the transportation industry, but also make the previously risky Cloud environment safe for even the most reserved environments and entities. With revolutionary transmission protocols, the time is now to consider adopting private Cloud for your transportation operations.

Trends and challenges we will see in the AI-driven security space in 2021
Trends and challenges we will see in the AI-driven security space in 2021

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 labour-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 minimise 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 organisations. 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 catalogue 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 behaviour. 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 optimise 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.

7 steps to make VMS system design and installation easier
7 steps to make VMS system design and installation easier

For those of you old enough to remember, video matrix switchers were once the heyday of surveillance camera control. These cumbersome antiques were at the heart of every major video surveillance system (CCTV at the time) in premier gaming properties, government installations and corporate industrial complexes. They required more physical labour to construct and configure than perhaps the pyramids – maybe not – but you get the picture. And then digital video made its way in to the market and everything changed, transforming the physical demands for camera control and management from a hardware-centric to a software driven process. We’ve come a long way in a few short years, and the borders that once defined IT and security continue to diminish, if not disappear completely There’s no doubt that this migration also presented significant challenges as many security professionals often struggled with all things IT and software programming being one of the industry’s soft spots. Fortunately, we’ve come a long way in a few short years, and the borders that once defined IT and security continue to diminish, if not disappear completely. However, the complexities of today’s VMS functionality can be intimidating for anyone tasked with installing one of these systems given all of the user-defined options available from the simplest camera sequencing and bandwidth allocations to mobile management and enterprise level integration. This is where truly advanced VMS solutions need to shine on both the operations and the design/build sides of the equation. Smart VMS design There are more solutions products labelled “VMS solutions” out there than ever before. The issue is the fact that many of these “solutions” really don’t fall into the category of a true VMS by today’s standards but offer basic camera and NVR control. No doubt that there is a place for such software programs in the market. However, VMS solutions from the likes of OnSSI and other industry-leading companies offer distinct and superior management and control capabilities for demanding security and business intelligence applications. Perhaps of equal importance, these top-tier VMS solutions incorporate provisions for installers, so they have a clear and easier implementation path. OnSSI offers VMS solutions with smart camera drivers Here are seven attributes that can assist with the design and implementation of an advanced VMS solution: 1) Open architecture platform We need the ability to easily integrate with other systems and scale for future developments and physical system growth The ability to easily integrate with other systems and scale for future developments and physical system growth is largely dependent on a systems platform architecture. Here’s where VMS solutions with open architecture provide a distinct advantage. Open-architecture solutions expand functionality by facilitating greater integration between multiple systems and components. This not only makes VMS solutions with open architecture easier to implement, it makes them extremely cost-efficient by eliminating the need for proprietary solutions. Open architecture systems also provide adherence to industry standards such as ONVIF and PSIA, as well as compression formats such as H.265 and MJPEG, and help ensure system integration and support of an extensive range of manufacturers’ cameras and off-the-shelf hardware. Be wary of VMS solutions with limited camera manufacturer support. 2) Simple licensing processes and pricing Camera licenses and pricing is always a touchy subject, as any misunderstanding of a specific VMS solutions’ licensing terms can prove to be costly after the fact. And it often seems that some VMS suppliers have gone to great lengths to complicate the process as to obscure actual Total Cost of Ownership (TCO). Perhaps the most direct, simple and straightforward camera licensing and pricing method is to have one license per IP address used by each camera/encoder on multi-channel devices. These should be perpetual licenses with no required annual fees or subscriptions. Additionally, the licensing agreement should be all inclusive without added fees for multiple clients, failover servers, active directory support, I/O devices, redundant management servers, technical support or security patches and updates. 3) Mixing and matching camera license types The ability to mix and match different camera license types within the same system helps facilitate a seamless and simple migration of new and pre-existing systems with minimal downtime or interruption in operation. The ability to mix and match camera licenses not only saves valuable design and installation time, it can provide considerable savings when integrating large, multi-tenant systems. Mix and match capabilities also allow system designers to apply specific feature sets to specific groups of cameras to best leverage functionality and budgets, as well as providing the flexibility to implement an on-site, virtual, or cloud-based VMS solution, without any additional cost. 4) Auto camera detection and configuration Another VMS set-up feature that eases the install process is the ability to forego device registrations or MAC address requirements Another VMS set-up feature that eases the install process is the ability to forego device registrations or MAC address requirements. This functionality allows installers to instantly locate cameras on the network and configure them centrally so they can easily replace older cameras while seamlessly retaining video recorded from them. The auto detection capability should also include the ability to detect and import CSV files, which can then be stored and used to configure camera templates for future camera installation profiles. 5) Smart camera driver technology VMS solutions with smart camera drivers offer valuable assistance during system implementation, and any time new cameras are added to the network or replace older models. Manufacturer-specific smart camera drivers expand the range of model-specific static drivers. Instead of storing the device’s information (codecs, resolutions, frame rates, etc.) statically, a VMS with smart camera drivers queries devices for their capabilities using the manufacturers’ proprietary protocol. All that is required for configuration is that the camera is available on the network. Smart camera drivers eliminate the need to wait for model-specific drivers or installation of driver packs, allowing for newly released cameras to be used immediately. Network security is an area where leading VMS suppliers like OnSSI have ramped up development efforts to stay ahead of hackers  6) Importance of network security Network Security is perhaps the greatest challenge faced by industry professionals today Network security is perhaps the greatest challenge faced by industry professionals today. This is an area where leading VMS suppliers like OnSSI have ramped up development efforts to stay ahead of hackers. New security developments to look for include TLS 1.2 encryption protocols for camera-to-server communications (SSL 3.0 supported for older cameras), as well as server-to-server communications. Additional safeguards to consider include: randomised video databases with no camera identification information to secure recorded data; support for Active Directory authentication; AES encryption between servers and clients; and AES encrypted exporting. 7) Automatic updates Regardless of the supplier you select for your VMS solution, they should be consistently providing new updates and security patches on a frequent if not regular basis. Keeping up with these updates can be a burden and are often overlooked leading to system failures and breeches. Advanced VMS solutions now feature automatic update service checks on a system-wide basis, eliminating the need to manually update individual servers and devices. This ensures that your VMS system always has the latest drivers, fixes and updates which assures overall security while reducing TCO. So next time you’re getting a demo of the latest and greatest VMS solution, remember to ask what it offers in terms of design and implementation tools. Half the battle with new technologies is getting them installed and working properly. Without the right tools to accomplish these critical first steps, all the functionality in the world will do you little good.

Latest GEUTEBRUCK GmbH news

SAFR Facial Recognition for live video integrated with Geutebrück VMS
SAFR Facial Recognition for live video integrated with Geutebrück VMS

SAFR from RealNetworks, Inc. announced that its SAFR facial recognition system for live video is now integrated with the Geutebrück G-Core VMS (Video Management System). SAFR for Geutebrück is an AI layer that runs on top of the G-Core VMS which provides advanced video analytics that saves time and increases the efficiency of surveillance operations. The best-in-class integration features live video overlays that display event details, streamlined enrolment of individuals appearing on the Geutebrück VMS directly into the SAFR identity database, and custom alarms and notifications that notify security personnel of SAFR events directly within the VMS. Face matching in live video feeds With so many cameras deployed, it’s impossible for security staff to monitor them effectively. SAFR matches faces appearing in live video feeds against watchlist images more effectively (99.87%), and with less bias, than humans. This enables security personnel to prioritize feeds that require review while providing them the key information they need to respond to persons of interest more quickly. SAFR also recognises individuals wearing masks with remarkable accuracy (98.85%). The enroled or reference image is displayed side by side with the face detected in the VMS video. Operators have instant access to the enrolled person’s face image to confirm match events. Automated identification The integration automatically enrol faces into the SAFR database via Geutebrück G-Core VMS “Manual monitoring is expensive and inefficient. AI can perform real-time, automated identification of persons of interest, and identify previous offenders the moment they return and before they cause new incidents,” said Brad Donaldson, VP, Computer Vision & GM, SAFR.  “Our powerful API and plugin architecture makes industry leading integrations such as the one achieved with Geutebrück possible.” Integration benefits The tight integration enables operators to automatically enrol faces into the SAFR database by simply drawing a marquee around a face in the Geutebrück G-Core VMS. Operators can use SAFR’s information overlays within the VMS video feeds, making it easy to quickly and accurately separate unknown people and potential threats from authorised personnel. System admins can easily configure which face recognition information is captured and recorded in the VMS. Additionally, operators have the ability to search Geutebrück video feeds for alerts using a person’s name, watchlist name, or ID class (threat, no concern, concern, stranger). Effortless experience "As a world class provider of video security software solutions in mission critical environments, we are thrilled to offer SAFR’s superior technology for face recognition as part of a comprehensive solution.” “The seamless integration of SAFR’s AI-powered analytics together with Geutebrück’s ultra-robust video management software makes day-to-day operational tasks an effortless experience with the highest reliability," comments Norbert Herzer, Product Manager, Geutebrück.

Security & Safety Things partners with Link Analytix, SAIMOS and CVEDIA to provide video analytics solutions for retailers
Security & Safety Things partners with Link Analytix, SAIMOS and CVEDIA to provide video analytics solutions for retailers

Security & Safety Things GmbH (S&ST), together with its partners, is offering packages of smart security cameras and video analytic solutions designed to provide retailers with immediate solutions to practical challenges from the COVID-19 pandemic. AI tech on cameras in retail stores In an effort to assist retailers operating their shops in compliance with COVID-19 regulations, these packages will include test cameras running the S&ST operating system. Integrators and end-customers can choose and deploy AI applications on these cameras to address operational challenges related to the COVID-19 pandemic. These apps are offered by S&ST’s development partners. Uses for applications include: Occupancy management Face mask detection Social distancing monitoring Real-time occupancy and face mask detection solutions A face mask detection app, offered by Geutebrück, enables efficient monitoring of people Security & Safety Things’ developer partners include Link Analytix, which is offering Retail Flux, a real-time occupancy solution designed to limit risk of infection for both shoppers and employees. SAIMOS has developed the SAIMOS Counting app, which can be used to monitor multiple entrances and exits to track occupancy in real-time and manage visitor access through automated displays at entry points. A face mask detection app, offered by Geutebrück, enables efficient monitoring of people to ensure compliance with prescribed hygiene concepts. This solution is able to recognise if an individual is wearing a protective mask and instantly notifies unprotected persons to onsite staff or remote operators via a connected Video Management System. SAIMOS also offers a feature for face mask detection in their counting app. Talos Social Distancing app CVEDIA’s Talos Social Distancing app features a foot traffic algorithm designed to detect and analyse at-risk areas for physical distancing in corporate or public spaces. This app detects people and the distances between them, while providing additional visual analytics that allow companies to improve current COVID-19 practices.

Geutebrück brings contactless real-time face-mask detection, body temperature video security solution
Geutebrück brings contactless real-time face-mask detection, body temperature video security solution

Body temperature measurement, detection of face masks and the counting of visitor flows - Geutebrück has expanded its portfolio to enable the retail trade, public authorities and operators of public transport and industry to adjust their protective measures to the current situation. Without having to resort to biometric data, the intelligent and highly available video security systems process images in real time. This way, both customers and personnel are being protected, and compliance with official regulations or prescribed hygiene measures is being controlled and documented. Contactless measurement of body temperature When measuring body temperature people are automatically screened. Fields of application are where many people come together, e.g. in companies, manufacturing plants, train stations, at airports, in public or private institutions. The automated face mask detection verifies compliance with such precautions and can - when connected to an access control system - allow or block entry to a building. Suitable for any facility with public access. Visitor management for restricting number of visitors Visitor counting and routing is of particular interest to shop owners, who need to ensure that the number of customers in their premises is kept below the maximum. As with all Geutebrück solutions, the most recent developments are GDPR-compliant and protect the privacy and personal rights of all those involved. "Our clients are facing unknown challenges in the current situation. Our solutions can help in many fields to overcome such challenges by means of visualisation and automatisation - yet without reaching capacity limits", says Christine Heger-Essig, Chief Technology Officer.

Related white papers

Security investments retailers should consider for their 2021 budget

Reducing the cost of video surveillance system deployment and operation

Five things to consider for AI with video technology