Snap Surveillance - Experts & Thought Leaders

Snap Network Surveillance Pty Ltd. (“Snap Surveillance”), the developer of the world’s first and only AI-based intelligent tracking software for large-scale security camera networks, has announced the establishment of North American operations based in San Diego, California. This new office will focus on the United States and Canada regions as well as provide additional support to Central and South America. The new San Diego office will function as a demo center for the company’s Force Multiplier (FMx) VMS add-on tool, which delivers significantly faster and more reliable suspect tracking and forensic review capabilities for systems such as Milestone’s XProtect. IP security cameras San Diego location will provide integrators and customers with the experience of a security operations center Snap Surveillance’s San Diego location will provide integrators and their customers with the experience of a security operations center (SOC) with a functioning VMS system, numerous IP-cameras, along with the FMx tool to showcase the improved tracking capabilities for large-camera count environments such as hospital, airports, universities, and casinos. “This is a significant step for Snap Surveillance and is a realisation of the growth we have achieved over the past ten years of operations from Australia,” stated Simon Langsford, CEO, Snap Surveillance. “Our recent project wins in the U.S. – including airports, universities, and hospitals -  has highlighted the need to strengthen our support within the North American market.” AI-based security systems With the opening of the North American office, Snap Surveillance has also appointed Jay Jason Bartlett as the new General Manager for North America. Snap Surveillance will be exhibiting at the Global Security Exchange (GSX) in Chicago, IL, September 10 – 12, 2019 within the GSX Disruption District in booth 3417. As a Gold Partner and Certified Solution with Milestone Systems, Snap Surveillance will be demonstrating its patented AI-based system that is 10x faster than human-alone subject tracking, removing the operator stress of knowing where to look or which camera feed will be needed next.

Snap Network Surveillance, PTY LTD, the developer of the world’s first and only AI-based intelligent tracking software for large-scale security camera networks, announced the latest release of its Force Multiplier (FMx) tool – enabling operators to track subjects faster and more easily. This new version delivers extensive enhancements to the FMx Network Optimiser tool, which significantly benefits our system integrator partners in commissioning a FMx system, now much faster. Provides REST API for PSIM vendors Force Multiplier version 1.7.3 now provides a new REST API for partners that provides a low-resolution form of our camera relationship learning. Now, for example, a PSIM vendor is able to use the REST API to find the environment’s camera relationships and use that information in their own PSIM user interface. This functionality could also be used with currently non-supported VMS platforms. Version 1.7.3 now also supports the Milestone XProtect privacy masking functionalityVersion 1.7.3 now also supports the Milestone XProtect privacy masking functionality. When Milestone XProtect implements a security privacy mask on a particular camera feed, FMx will now also properly blur out the privacy area within the Force Multiplier tab within the XProtect Smart Client. VMS add-on tool to track suspects “This new release is the result of our ongoing development of the industry’s easiest to use VMS add-on tool for tracking suspects and objects around a campus-style environment,” stated Henry Detmold, CTO, Snap Surveillance. “Being able to quickly and easily track targets of importance around a large camera count environment is what Snap Surveillance excels at and this new version continues to expand our overall value to our customers.” Exhibiting at GSX 2019 Force Multiplier 1.7.3 instantly creates one continuous video story from hundreds of individual camera feeds – quickly and more easily than any other tool on the market. Snap Surveillance will be exhibiting at the Global Security Exchange (GSX) in Chicago, IL, September 10 – 12, 2019 in booth 3417. As a Gold Partner with Milestone Systems, Snap Surveillance will be demonstrating its patented AI-based system that is 10x faster than human-alone subject tracking removing the stress on an operator of knowing which camera feed or video view will be needed next.

Snap Network Surveillance, PTY LTD (‘Snap Surveillance’), the developer of the world’s first and only AI-based intelligent tracking software for large-scale security camera networks, will be participating as an ecosystem development partner in the SAST booth #10037 at the upcoming GSX expo in Chicago, September 10-12, 2019. SAST (Security and Safety Things) is a Bosch-owned IoT startup, leading an open Internet of Things (IoT) ecosystem initiative. This includes creation of an open OS platform for Smart Cameras and an App store for software on the platform, with a focus on delivering enhanced security and safety. AI-based security apps The need to track people and objects from camera to camera is becoming critical" Through their revolutionary open IoT platform for security cameras, SAST enables seamless management of networked cameras — by unleashing a new generation of AI-based security apps. Snap is excited to be one of the initial development partners. “Snap Surveillance’s support of the SAST ecosystem provides an ideal platform for video pursuit of people and objects moving about environments such as airports or large retail establishments,” stated Henry Detmold, CTO, Snap Surveillance. “In today’s larger camera-count environments, the need to track people and objects from camera to camera is becoming critical and with SAST support for learning on their cameras, our mutual customers will be able to get the benefits without needing a big investment is server capacity.” Intelligent tracking solution Snap Surveillance’s AI-enabled intelligent tracking solution will be on display at the SAST GSX booth - showcasing our solution that is 10x faster than human-alone subject tracking while also removing operator fallibility. This solution is essential for improving the speed of operating a security camera network This solution is essential for improving the speed, performance, and accuracy of operating a security camera network. An overarching benefit of deploying Snap Surveillance’s Force Multiplier (FMx) software in a SAST ecosystem is that image analysis running on the camera can be more efficient and accurate than on a server, which results in faster and more accurate learning of the camera relationships. Camera-count environments Further benefits are anticipated as the SAST ecosystem grows, with other development partners able to utilise the camera networking information from Snap’s machine learning algorithms. Snap Surveillance will also be exhibiting in its own booth in the GSX Disruption District, #3417. As a Gold Partner with Milestone Systems, Snap Surveillance will be demonstrating its patented AI-based system for learning camera relationships, and showcase how easy it is to track suspects or objects around large camera-count environments, removing the stress of knowing which camera feed will be needed next.

Increases in the number of cameras and storage capacity have created an overabundance of video information that is difficult to manage  Investment in video surveillance technology continues to increase as technology improves and security equipment becomes more affordable. Companies invest in video surveillance primarily to protect people and property, for both deterrence and more crucially for incident response. While there’s no doubt that the systems can provide a comprehensive video archive, the real challenge is whether these systems allow security and law enforcement personnel to respond quickly and effectively when security breaches occur. In large enterprise systems, entrenched video collection methods have limited effectiveness in real-time situations. When retrieving and analysing multi-camera video for forensic purposes, the process of extracting valuable footage from the sheer volume of video can be highly time consuming, ineffective, and falls well short of what is needed. This article will explain some of the challenges with current methods used and outline potential solutions. Overloading the operator in critical response situations Video Management Systems (VMS) offer powerful functionality for general viewing purposes and systematic archiving of video data. However, when responding to a real-time crisis, users are typically forced to rely on site maps, their ability to recall camera routes, or to urgently scan across video walls to help locate appropriate camera views. This can be manageable when tenured security operators are available who are intimately familiar with the building and camera locations – provided that the subject follows predictable paths through the facility. Problems are compounded when experienced security operators are not available. Security positions are notorious for high rates of turnover, resulting in staff with limited site familiarity and lack of confidence in the video system and camera network configurations. These are all factors that increase the risk when expecting an operator to be highly skilled and able to respond quickly in a critical response situation, i.e. when a security breach has occurred or a critical incident is in progress. In such situations, law enforcement officials and incident response staff have to rely on the available security operators to navigate through the system. This does not allow for effective intervention when it’s needed in real-time. The solution calls for an easy-to-use system that enables an operator to quickly understand where a target has been, where it is currently, and anticipates where a target is going. A system that lets the user seamlessly track the target without needing to know the site layout, or even have familiarity with the video system. The solution calls for an easy-to-usesystem that enables an operator toquickly understand where a target hasbeen, where it is currently, andanticipates where a target is going. Asystem that lets the user seamlesslytrack the target without needing toknow the site layout, or even havefamiliarity with the video system Drowning in surveillance data Video surveillance has long proven to be a significant and valuable tool with broad-reaching capabilities. VMS systems do a great job of capturing video but increases in the number of cameras and storage capacity have created an abundance of video information that is difficult to manage. When an incident occurs, and there’s a need to search for forensic video, review teams are challenged to locate all the relevant video from the volume of video information available. Teams can be tied up for weeks searching for incident-related video, time that could be used for more important work. Locating relevant video is like looking for a needle in a haystack. Since time is always of the essence, the solution must help find and identify all the relevant video quickly, and present it in a way that it can be easily understood. Providing a process for sharing information with law enforcement officials is another way technology can help speed up the process and allows for a clear picture of what occurred so law enforcement officials can make informed decisions. Current video systems have a constraint on how many cameras a security operator can manage effectively. Technology innovations can multiply the effectiveness of an operator by simplifying the process, allowing them to manage more cameras, and reducing cost. Providing access and a clear view to law enforcement officials or incident response teams during such critical situations can mean the difference between mitigating a situation and allowing it to escalate. Regardless of whether you aretracking the path of a target ina real-time critical responsesituation, or searching throughforensic multi-camera video,there is the need to maximiseefficiency through the use oftechnology inorder to deliver onthe ultimate goal of protectingpeople and property Gaps in video coverage VMS can be very effective for documenting camera locations and providing site maps that show camera views across enterprise businesses. They are a critical component in a successful video surveillance strategy; however, they often come up short in regards to evaluating camera coverage of the site. Often organisations don’t even know that a gap exists until after an incident occurs and there’s a critical piece of video missing. The solution calls for robust and intelligent technology that seamlessly connects all the cameras across a video system and identifies any gaps proactively. Regardless of the situation, when an event is triggered, whether by an access control breach, an alarm event, by identification by an operator or video analytics identifying suspicious activity, the system must be able to fully capture the sequence of events. This is crucial in both real-time situations and forensic situations, as even a small gap in coverage may be problematic. A call to action The security industry has undergone a major shift from analogue to digital technology solutions. Manufacturers have been reimagining their product lines to help companies transition in a cost-effective and intelligent way. With technology advances and lower video component cost, there is a need now to look at getting the most return on investment of your video system. Regardless of whether you are tracking the path of a target in a real-time critical response situation, or searching through forensic multi-camera video, there is the need to maximise efficiency through the use of technology in order to deliver on the ultimate goal of protecting people and property.