Milestone Network Video Recorders (NVR) / Network DVRs(7)
Milestone Systems, the open platform company in IP video management software (VMS), announces upgrades to its series of Milestone Husky network video recorders (NVRs). The sleek video network appliances integrated with Milestone video management software now offer significant increases in internal storage. Popular NVR Series Meet Market Demands The storage expansions mean simple-to-install video surveillance solutions are available for more demanding requirements – longer video retention and greater quality recordings. More storage enables customers like government organizations to meet 90-day video storage requirements or casinos to achieve continuous high-resolution recordings. 2x the storage on the Milestone Husky M10 – up to 2TB (from 1TB) 3x the storage on the Milestone Husky M30 – up to 12TB (from 4TB) 2x the storage on the Milestone Husky M50 – up to 48TB (from 24TB) Additionally, the Milestone Husky Hybrid Series of NVRs will get a boost in storage too. The hybrid NVRs, which enables users to mix of analog and IP cameras for an easy analog-to-IP transition, offers the following options: 2x the storage on the Milestone Husky M30 Hybrid – up to 8TB (from 4TB) 2x the storage on the Milestone Husky M50 Hybrid – up to 32TB (from 16TB) Unlimited scalability through Milestone Interconnect Like other Milestone VMS solutions, Milestone Husky solutions are future-proof, enabling users to scale up their video surveillance deployments as their businesses grow. Multiple Milestone Husky M30s or Milestone Husky M50s can be set up with a master/slave configuration. Users can view video from all connected cameras on the networked Milestone Husky units by simply connecting to the master server. For enterprise scaling, all Milestone Husky NVRs can also use Milestone Interconnect™ to connect remote sites to XProtect® Corporate VMS for central command and control. This enables a site with a Milestone Husky NVR to be operated locally or remotely, which either could be through a central control center or by a service provided from a Milestone Partner. The functionality of the Milestone Husky M30 and Milestone Husky M50 models can be extended by integrating XProtect® add-ons and third-party integrations, such as access control and video analytics. “We recognized the shift in the market for integrated NVR solutions,” said Jay Shah, Global Business Development Director, Incubation and Ventures at Milestone Systems. “Our Milestone partners and customers asked us for more storage with the Milestone Husky Series and we delivered. Now they can integrate and interconnect the NVRs in more demanding environments. This change can only open up new opportunities for our end users and our integrators.”Add to Compare
The only Milestone-designed network video recorder (NVR) combined with high-end, XProtect advanced software, Milestone Husky M50 Advanced offers ultimate configuration flexibility and scalability, the open platform and premium features such as centralized management on an integrated appliance. Features: Optimized end-to-end video recording solution Advanced surveillance functionality with premium feature set Supported by XProtect® Smart Client, XProtect® Web Client, and Milestone Mobile Three-years of CARE plus is included with optional warranty extension Unique Husky Assistant onsite server configurator allows simple and reliable deployment of Husky Advanced models as an all-in-one or a recording server i7 CPU processing power Supports up to 120 cameras 10, 20, 40 and 80 camera base configurations Up to 48TB recording capacity with RAID10 or RAID4 includedAdd to Compare
Milestone Systems, the open platform company in networked video management software (VMS), is pre-announcing the Milestone Husky M500A NVR hardware platform with scalable VMS. The M500A XProtect Expert NVR has been performance-tested to support 512 HD cameras with a guaranteed recording performance of 600Mb/s. Milestone is currently preparing the Milestone Husky M500A for release in Q2 2016 and will be showcasing proof-of-performance at tradeshows in the meantime. Western Digital Purple Hard Drives The Milestone Husky M500A is building on the high performance exclusive hardware design of the Milestone Husky M50 chassis right in step with the previous Milestone Husky series. A key contribution to the NVR’s performance is the storage systems use of Western Digital Purple hard drives. These drives are specially designed for video surveillance and utilize write-optimized hard disk drive technology and frame loss protection. When combined with a video recording optimized RAID (Redundant Array of Independent Disks) Controller supporting either RAID 5 or RAID 10, the industry’s highest performance NVR in its hardware class is achieved. The M500A NVR supports up to 48TB of internal raw storage and has the ability to archive to network-attached storage appliances when additional storage is required. Milestone XProtect Expert VMS Preinstalled with highly scalable Milestone XProtect Expert video management software, the M500A NVR eliminates the guess work of sizing the recording hardware. This removes the common industry problem of over estimating and sizing IT server-based NVRs as well as saving time on systems design. The XProtect Expert VMS comes preloaded on the Husky M500A and enables a number of advantages for Milestone partners. These include already being trained and certified on the system software and being able to easily upgrade customers from previous Milestone XProtect products like XProtect Enterprise. Milestone Husky M500A will be sold in a base configuration only, so partners just add camera licenses as needed. Three years of Milestone Care Plus plan and hardware warranty are included in all units, enabling both free software upgrades, device license portability and software trade-in credit. This guarantees that customers get the industry’s lowest possible NVR total cost of ownership. Key Features Included Are: "The industry’s highest NVRperformance is delivered bythe most scalable and reliableVMS - all packed into ouroptimized NVR at the lowest cost per recorded device" Recorder or all-in-one: The Husky M500A can be utilized as a NVR which is a part of a larger video management software installation or as a stand-alone system. This gives partners and customers with the greatest number of deployment options form a single hardware platform. Federated NVR support: The Husky M500A XProtect Expert NVR can be easily Federated into existing XProtect Corporate customer deployments at no additional cost. This provides seamless management, configuration, control and viewing of camera devices. License portability: XProtect Expert 2016 base and device licenses can be moved between systems just by clicking in the Milestone management console. This enables a customer to have a pool of camera licenses and use them as needed. This solves the traditional problem where a system must be upgraded in chunks of licenses. It also makes scheduled maintenance easy. Recorder failover: When using the newest version of XProtect Expert 2016R2 the M500A can utilize the built-in recorder failover capability. This enables the M500A to fail over to a central XProtect Expert system or another M500A if the system is hit by an unforeseen outage. This takes place automatically, without any interruption in system security level. Simplified installation and setup: The Husky Configurator automates the hardware and software setup and system restore image. This saves valuable installation and setup time. “The industry’s highest NVR performance is delivered by the most scalable and reliable VMS - all packed into our optimized NVR at the lowest cost per recorded device. It does not get better than this!” says Bjørn Skou Eilertsen, Vice President of Corporate Products Business Unit at Milestone Systems. “The Milestone Husky M500A is yet another proof-point of our commitment to delivering the most valuable solutions for our partners and customers.” The Milestone Husky M500A proof-of-performance was showcased at the ISC West International trade show in Las Vegas, April 6-8, at the Milestone booth 20060 where visitors saw the live performance test of 512 HD cameras being recorded on the new Husky M500A XProtect Expert NVR.Add to Compare
Milestone Systems is proud to introduce the all new Milestone Husky Series. Performance-optimized network video recorder (NVR) solutions that never compromise on quality. Why choose a Milestone Husky NVR solution? Fast to deploy and ready-to-use in just a few minutes User-friendly, plug-and-play solution Perfect match between reliable, industry-leading software and industrial grade hardware Installed with Milestone video management software (VMS), proven in thousands of installations worldwide A selection of performance-optimized solutions designed to suit a range of user needs Flexible viewing clients for on-the-go and remote access Use Milestone Interconnect™ to connect Milestone Husky NVRs at remote sites to XProtect® Corporate for centralized management Connect multiple Milestone Husky M30 or M50s with a master/slave configuration and view video from all connected cameras by simply connecting to the master server Choose from more than 50 preconfigured options and use add-on licensing for a customized solution M30 and M50 are compatible with XProtect Smart Client®, all XProtect add-ons and third-party integrations to create a wide variety of business solutions Includes free Customer Dashboard to enable your installer to monitor the health of your system and proactively resolve technical issuesAdd to Compare
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In 2017, IoT-based cyberattacks increased by 600%. As the industry moves towards the mass adoption of interconnected physical security devices, end users have found a plethora of advantages, broadening the scope of traditional video surveillance solutions beyond simple safety measures. Thanks in part to these recent advancements, our physical solutions are at a higher risk than ever before. With today’s ever evolving digital landscape and the increasing complexity of physical and cyber-attacks, it’s imperative to take specific precautions to combat these threats. Video surveillance systems Cybersecurity is not usually the first concern to come to mind When you think of a video surveillance system, cybersecurity is not usually the first concern to come to mind, since digital threats are usually thought of as separate from physical security. Unfortunately, these two are becoming increasingly intertwined as intruders continue to use inventive methods in order to access an organization's assets. Hacks and data breaches are among the top cyber concerns, but many overlook the fact that weak cybersecurity practices can lead to physical danger as well. Organizations that deploy video surveillance devices paired with advanced analytics programs often leave themselves vulnerable to a breach without even realizing it. While they may be intelligent, IoT devices are soft targets that cybercriminals and hackers can easily exploit, crippling a physical security system from the inside out. Physical security manufacturers Whether looking to simply gain access to internal data, or paralyze a system prior to a physical attack, allowing hackers easy access to surveillance systems can only end poorly. In order to stay competitive, manufacturers within the security industry are trading in their traditional analog technology and moving towards interconnected devices. Due to this, security can no longer be solely focused on the physical elements and end users have taken note. The first step towards more secured solutions starts with physical security manufacturers choosing to make cybersecurity a priority for all products, from endpoint to edge and beyond. Gone are the days of end users underestimating the importance of reliability within their solutions. Manufacturers that choose to invest time and research into the development of cyber-hardening will be ahead of the curve and an asset to all. Wireless communication systems Integrators also become complicit in any issues that may arise in the future Aside from simply making the commitment to improve cyber hygiene, there are solid steps that manufacturers can take. One simple action is incorporating tools and features into devices that allow end users to more easily configure their cyber protection settings. Similarly, working with a third party to perform penetration testing on products can help to ensure the backend security of IoT devices. This gives customers peace of mind and manufacturers a competitive edge. While deficient cybersecurity standards can reflect poorly on manufacturers by installing vulnerable devices on a network, integrators also become complicit in any issues that may arise in the future. Just last year, ADT was forced to settle a $16 million class action lawsuit when the company installed an unencrypted wireless communication system that rendered an organization open to hacks. Cybersecurity services In addition, we’ve all heard of the bans, taxes and tariffs the U.S. government has recently put on certain manufacturers, depending on their country of origin and cybersecurity practices. Lawsuits aside, employing proper cybersecurity standards can give integrators a competitive advantage. With the proliferation of hacks, malware, and ransomware, integrators that can ease their client's cyber-woes are already a step ahead. By choosing to work with cybersecurity-focused manufacturers who provide clients with vulnerability testing and educate end users on best practices, integrators can not only thrive but find new sources of RMR. Education, collaboration and participation are three pillars when tackling cybersecurity from all angles. For dealers and integrators who have yet to add cybersecurity services to their business portfolios, scouting out a strategic IT partner could be the answer. Unlocking countless opportunities Becoming educated on the topic of cybersecurity and its importance for an organization is the first step Physical security integrators who feel uncomfortable diving headfirst into the digital realm may find that strategically aligning themselves with an IT or cyber firm will unlock countless opportunities. By opening the door to a partnership with an IT-focused firm, integrators receive the benefit of cybersecurity insight on future projects and a new source of RMR through continued consulting with current customers. In exchange, the IT firm gains a new source of clients in an industry otherwise untapped. This is a win for all those involved. While manufacturers, dealers and integrators play a large part in the cybersecurity of physical systems, end users also play a crucial role. Becoming educated on the topic of cybersecurity and its importance for an organization is the first step. Commonplace cybersecurity standards Below is a list of commonplace cybersecurity standards that all organizations should work to implement for the protection of their own video surveillance solutions: Always keep camera firmware up to date for the latest cyber protections. Change default passwords, especially those of admins, to keep the system locked to outside users. Create different user groups with separate rights to ensure all users have only the permissions they need. Set an encryption key for surveillance recordings to safeguard footage against intruders and prevent hackers from accessing a system through a backdoor. Enable notifications, whether for error codes or storage failures, to keep up to date with all systems happenings. Create/configure an OpenVPN connection for secured remote access. Check the web server log on a regular basis to see who is accessing the system. Ensure that web crawling is forbidden to prevent images or data found on your device from being made searchable. Avoid exposing devices to the internet unless strictly necessary to reduce the risk of attacks.
When a child goes missing in a large, crowded mall, we have a panicking mom asking for help from the staff, at least a dozen cameras in the area, and assuming the child has gone missing for only 15 minutes, about 3 hours’ worth of video to look through to find the child. Typical security staff response would be to monitor the video wall while reviewing the footage and making a verbal announcement throughout the mall so the staff can keep an eye out for her. There is no telling how long it will take, while every second feels like hours under pressure. As more time passes, the possible areas where the child can be will widen, it becomes more time-consuming to search manually, and the likelihood of finding the child decreases. What if we can avoid all of that and directly search for that particular girl in less than 1 second? Artificial neural networks are improving every day and now enable us to search for a person across all selected camera streamsWith Artificial intelligence, we can. Artificial neural networks are improving every day and now enable us to search for a person across all selected camera streams in a fraction of a second, using only one photo of that person. The photo does not even have to be a full frontal, passport-type mugshot; it can be a selfie image of the person at a party, as long as the face is there, the AI can find her and match her face with the hundreds or thousands of faces in the locations of interest. The search result is obtained in nearly real time as she passes by a certain camera. Distinguishing Humans From Animals And Statues The AI system continuously analyzes video streams from the surveillance cameras in its network, distinguishes human faces from non-human objects such as statues and animals, and much like a human brain, stores information about those faces in its memory, a mental image of the facial features so to speak. When we, the system user, upload an image of the person of interest to the AI system, the AI detects the face(s) in that image along with their particular features, search its memory for similar faces, and shows us where and when the person has appeared. We are in control of selecting the time period (up to days) and place (cameras) to search, and we can adjust the similarity level, i.e., how much a face matches the uploaded photo, to expand or fine-tune the search result according to our need. Furthermore, because the camera names and time stamps are available, the system can be linked with maps to track and predict the path of the person of interest. AI Face Search is not Face Recognition for two reasons: it protects people’s privacy, and it is lightweight Protecting People’s Privacy With AI Face Search All features of face recognition can be enabled by the system user, such as to notify staff members when a person of interest is approaching the store AI Face Search is not Face Recognition for two reasons: it protects people’s privacy, and it is lightweight. First, with AI Face Search, no names, ID, personal information, or lists of any type are required to be saved in the system. The uploaded image can be erased from the system after use, there is no face database, and all faces in the camera live view can be blurred out post-processing to guarantee GDPR compliance. Second, the lack of a required face database, a live view with frames drawn around the detected faces and constant face matching in the background also significantly reduces the amount of computing resource to process the video stream, hence the lightweight. Face Search Versus Face Recognition AI Face Search Face Recognition Quick search for a particular person in video footage Identify everyone in video footage Match detected face(s) in video stream to target face(s) in an uploaded image Match detected face(s) in video stream to a database Do not store faces and names in a database Must have a database with ID info Automatically protect privacy for GDPR compliance in public places May require additional paperwork to comply with privacy regulations Lightweight solution Complex solution for large-scale deployment Main use: locate persons of interest in a large area Main use: identify a person who passes through a checkpoint Of course, all features of face recognition can be enabled by the system user if necessary, such as to notify staff members when a person of interest is approaching the store, but the flexibility to not have such features and to use the search tool as a simple Google-like device particularly for people and images is the advantage of AI Face Search.Because Face Search is not based on face recognition, no faces and name identifications are stored Advantages Of AI Face Search Artificial Intelligence has advanced so far in the past few years that its facial understanding capability is equivalent to that of a human. The AI will recognise the person of interest whether he has glasses, wears a hat, is drinking water, or is at an angle away from the camera. In summary, the advantages of Face Search: High efficiency: a target person can be located within a few seconds, which enables fast response time. High performance: high accuracy in a large database and stable performance, much like Google search for text-based queries. Easy setup and usage: AI appliance with the built-in face search engine can be customised to integrate to any existing NVR/VMS/camera system or as a standalone unit depending on the customer’s needs. The simple-to-use interface requires minimal training and no special programming skills. High-cost saving: the time saving and ease of use translate to orders of magnitude less manual effort than traditionally required, which means money saving. Scalability: AI can scale much faster and at a wider scope than human effort. AI performance simply relies on computing resource, and each Face Search appliance typically comes with the optimal hardware for any system size depending on the customer need, which can go up to thousands of cameras. Privacy: AI Face Search is not face recognition. For face recognition, there are privacy laws that limits the usage. Because Face Search is not based on face recognition, no faces and name identifications are stored, so Face Search can be used in many public environments to identify faces against past and real-time video recordings. AI Face Search match detected face(s) in video stream to target face(s) in an uploaded image Common Use Cases Of AI Face Search In addition to the scenario of missing child in a shopping mall, other common use cases for the AI Face Search technology include: Retail management: Search, detect and locate VIP guests in hotels, shopping centres, resorts, etc. to promptly attend to their needs, track their behaviour pattern, and predict locations that they tend to visit. Crime suspect: Quickly search for and prove/disprove the presence of suspects (thief, robber, terrorist, etc.) in an incident at certain locations and time. School campus protection: With the recent increase in number of mass shootings in school campuses, there is a need to identify, locate and stop a weapon carrier on campus as soon as possible before he can start shooting. Face Search will enable the authorities to locate the suspect and trace his movements within seconds using multiple camera feeds from different areas on campus. Only one clear image of the suspect’s face is sufficient. In the race of technology development in response to business needs and security concerns, AI Face Search is a simple, lightweight solution for airports, shopping centres, schools, resorts, etc. to increase our efficiency, minimise manual effort in searching for people when incidents occur on site, and actively prevent potential incidents from occurring. By Paul Sun, CEO of IronYun, and Mai Truong, Marketing Manager of IronYun
With increased demands being placed on safety and security globally, and supported by advancements in IP cameras and 360-degree camera technology, the video surveillance industry is growing steadily. Market research indicates that this worldwide industry is expected to reach an estimated $39.3 billion in revenue by 2023, driven by a CAGR of 9.3 percent from 2018 to 2023. Video surveillance is not just about capturing footage (to review an event or incident when it occurs), but also about data analysis delivering actionable insights that can improve operational efficiencies, better understand customer buying behaviors, or simply just provide added value and intelligence. Growth of Ultra-HD Surveillance To ensure that the quality of the data is good enough to extract the details required to drive these insights, surveillance cameras are technologically evolving as well, not only with expanded capabilities surrounding optical zoom and motion range,4K Ultra HD-compliant networked cameras are expected to grow from 0.4 percent shipped in 2017, to 28 percent in 2021 but also relating to improvements in signal-to-noise (S2N) ratios, light sensitivities (and the minimum illumination needed to produce usable images), wide dynamic ranges (WDR) for varying foreground and background illumination requirements, and of course, higher quality resolutions. As such, 4K Ultra HD-compliant networked cameras are expected to grow from 0.4 percent shipped in 2017, to 28 percent in 2021, representing an astonishing 170 percent growth per year, and will require three to six times the storage space of 1080p video dependent on the compression technology used. Surveillance cameras are typically connected to a networked video recorder (NVR) that acts as a gateway or local server, collecting data from the cameras and running video management software (VMS), as well as analytics. Capturing this data is dependent on the communications path between individual cameras and the NVR. If this connection is lost, whether intentional, unintentional, or a simple malfunction, surveillance video will no longer be captured and the system will cease operations. Therefore, it has become common to use microSD cards in surveillance cameras as a failsafe mechanism. Despite lost connectivity to the NVR, the camera can still record and capture raw footage locally until the network is restored, which in itself, could take a long time depending on maintenance staff or equipment availability, weather conditions, or other unplanned issues. Since microSD cards play a critical role as a failsafe mechanism to ensure service availability, it is important to choose the right card for capturing video footage. It has become common to use microSD cards in surveillance cameras as a failsafe mechanism if an NVR breaks Key Characteristics Of microSDs There are many different microSD cards to choose from for video capture at the network’s edge, and they range from industrial grade capabilities to commercial or retail grade, and everything in-between. To help make some of these uncertainties a little more certain, here are the key microSD card characteristics for video camera capture. Designed For Surveillance As the market enjoys steady growth, storage vendors want to participate and have done so with a number of repurposed, repackaged, remarketed microSD cards targeted for video surveillance but with not much robustness, performance or capabilities specific to the application. Adding the absence of mean-time between failure (MTBF) specifications to the equation, microSD card reliability is typically a perceived measurement -- measured in hours of operation and relatively vague and hidden under metrics associated with the camera’s resolution and compression ratio. Therefore, when selecting a microSD card for surveillance cams at the edge, the choice should include a vendor that is trusted, has experience and a proven storage portfolio in video surveillance, and in microSD card technologies. Endurance, as it relates to microSD cards, represents the number of rewrites possible before the card can no longer store data correctly High Endurance Endurance, as it relates to microSD cards, represents the number of rewrites (program/erase cycles) that are possible before the card can no longer store data correctly. The rewrite operation is cyclical whereby a new stream of footage replaces older content by writing over it until the card is full, and the cycle repeats. The higher the endurance, the longer the card will perform before it needs to be replaced. Endurance is also referred to in terabytes written (TBW) or by the number of hours that the card can record continuously (while overwriting data) before a failure will occur. Health Monitoring Health monitoring is a desired capability that not many microSD cards currently support and enables the host system to check when the endurance levels of a card are low and needs to be replaced. Having a card that supports this capability enables system integrators and operators with the ability to perform preemptive maintenance that will help to reduce system failures, as well as associated maintenance costs. Performance To capture continuous streams of raw footage, microSD cards within surveillance cams perform write operations about seventy to ninety percent of the time, whereas reading captured footage is performed about ten to thirty percent. The difference in read/write performance is dependent on whether the card is used in an artificial intelligent (AI) capable camera, or a standard one. microSD cards deployed within surveillance cameras should support temperature ranges from -25 degrees Celsius to 85 degrees Celsius Finding a card that is write-friendly, and can provide enough bandwidth to properly capture streamed data, and is cost-effective, requires one that falls between fast industrial card capabilities and slower commercial ones. Bandwidth in the range of 50 MB/sec for writes and 80 MB/sec for reads are typical and sufficient for microSD cards deployed within surveillance cameras. Temperature Ranges Lower capacity support of 32GB can provide room to attract the smaller or entry-level video surveillance deployments As microSD cards must be designed for continuous operation in extreme weather conditions and a variety of climates, whether located indoors or out, support for various temperature ranges are another consideration. Given the wide spectrum of temperatures required by the camera makers, microSD cards deployed within surveillance cameras should support temperature ranges from -25 degrees Celsius to 85 degrees Celsius, or in extreme cases, as low as -40 degrees Celsius. Capacity Selecting the right-sized capacity is also very important as there needs to be a minimum level to ensure that there is enough room to hold footage for a number of days or weeks before it is overwritten or the connectivity to the NVR is restored. Though 64GB is considered the capacity sweet spot for microSD cards deployed within surveillance cameras today, lower capacity support of 32GB can provide room to attract the smaller or entry-level video surveillance deployments. In the future, even higher capacities will be important for specific use cases and will potentially become standard capacities as the market evolves. When choosing the right storage microSD card to implement into your video surveillance system, make sure the card is designed specifically for the application – does it include the right levels of endurance and performance to capture continuous streams – can it withstand environmental challenges and wide temperature extremes – will it enable preventative and preemptive maintenance to provide years of service? It is critical for the surveillance system to be able to collect video footage whether the camera is connected to an NVR or is a standalone camera as collecting footage at the base of the surveillance system is the most crucial point of failure. As such, failsafe mechanisms are required to keep the camera recording until the network is restored.
Facial recognition has seen huge breakthroughs since the U.S. National Institute of Standards and Technology (NIST) first began testing in 2010. Accuracy has seen massive gains, especially from 2013-2018. In the 2018 test, the most accurate algorithm was 20 times more accurate than the 2013 equivalent. Essentially, 95 percent of the matches that failed in 2013 now yield correct results. Compare that to 2010-2013, when the most accurate algorithm reduced its error rate by 30 percent. This reduction in error rates since 2013 is due to wholesale replacement of the old algorithms with new ones based on deep convolutional neural networks — completely revolutionizing the technology. Optimal recognition results SAFR says it delivers optimal recognition results with 99.86 percent accuracy in under 100 milliseconds One entrant in the newly energized market is RealNetworks, whose SAFR for Security is an AI-based facial recognition solution for live video that integrates video management system (VMS) solutions. With 24/7 monitoring, SAFR detects and matches millions of faces accurately in real time, enabling teams to manage a watchlist across any number of video feeds. SAFR says it delivers optimal recognition results with 99.86 percent accuracy in under 100 milliseconds, even in real-world conditions where faces are in motion, at different angles, under poor lighting, or partially obscured. SAFR builds on RealNetworks’ 23-year history in video technologies. Launched in July 2018, SAFR — secure, accurate facial recognition — is enabling new applications for security, convenience, and analytics. Create security responses “We seek to be the world’s most trusted facial recognition platform and are delighted to partner with customers in the security industry and elsewhere to shape a more secure, convenient future worldwide,” says Dan Grimm, Vice President of Computer Vision and General Manager of SAFR at RealNetworks. “Security professionals are asked to keep us safe 24/7, monitoring a burgeoning number of cameras, and we help make them more effective.” SAFR targets facial recognition for live video, identifying camera-unaware faces moving in real-world conditions. In the April 2019 NIST results, SAFR tested as the fastest and most compact solution among algorithms with less than 0.022 False Non-Match Rate — 62 percent faster than the average speed, according to the company. SAFR now provides capabilities such as live video overlays alerting security professionals to events in real time, automatic bookmarks with rich metadata for investigative work, and alerts that can be customized to create security responses. SAFR uses one-sixth the compute power of competing facial recognition solutions Facial recognition algorithms Five years ago, facial recognition algorithms would struggle to match forward-facing people from still images, let alone camera-unaware moving faces from live video with variations in rotation and tilt. SAFR says they have achieved a balance of accuracy and performance for live video. A contributor to this accuracy is consistency across a range of skin tones. The algorithm was trained on a highly diverse global set of over 10 million non-simulated real-world faces. SAFR was optimized for speed and can sample a face multiple times during the same period of time as other algorithms, subsequently increasing its accuracy. SAFR achieves the performance through edge processing. Distributed architecture enables efficient bandwidth consumption, reducing the roundtrip latency of facial recognition speed to under 100 milliseconds. The savings lower total cost of ownership (TCO): SAFR uses one-sixth the compute power of competing facial recognition solutions, equating to $500,000 or so in savings on a 250-camera deployment. Integrated experience SAFR also uses off-the-shelf hardware and is optimized to leverage inexpensive GPUs SAFR also uses off-the-shelf hardware and is optimized to leverage inexpensive GPUs. SAFR can be deployed on premises or in the cloud, and supports Windows, Linux, macOS, iOS, and Android. When SAFR is paired with a VMS, such as Milestone XProtect or Genetec Security Center, the integrated experience includes 24/7 monitoring to detect and match faces in real-time. Features include live video overlays within the VMS to identify strangers, threats, concerns, unrecognized persons, VIPs, employees, or other tagged individuals in live video. Real-time alerts can be customized for when persons of interest appear on a video camera feed. Additionally, automatic bookmarks with rich metadata make for easier investigative review of security footage. Facial recognition technology is increasingly in demand to improve safety across various industry verticals. Better customer experience Large enterprises with high-visitor flows and heightened security — such as transportation hubs, stadiums, universities, and hospitals — need to know in real time when persons of interest or those on watchlists appear on camera. Sports stadiums could apply facial recognition to deny entry to banned patrons, locate lost children, or recognize VIPs to deliver a better customer experience. Hospitals need access control to restricted areas and pharmaceutical storage closets Hospitals need access control to restricted areas and pharmaceutical storage closets. Airports and transit centers value traffic flows, demographic composition, and dwell times to help improve scheduling. SAFR for Security is available worldwide, and the company partners with VMS providers such as Milestone, Genetec, Digifort, and IPConfigure by Paliton Networks. They are actively working to support additional VMS solutions and have sales teams located in major metropolitan cities around the world. Security professionals “The job of the security professional is critical in today’s world,” says Grimm. “SAFR for Security helps mitigate the challenges of the important work security professionals do to keep us all safe.” In designing and developing SAFR, RealNetworks considered diversity and the uniqueness of each person; Grimm says their massive global training data set is a competitive advantage. SAFR is designed with privacy in mind. All facial images and signatures are AES-256 encrypted in transit or at rest. “SAFR is powerful enterprise-grade software that is continuously improving through innovation and many years of expertise,” says Grimm.
‘Conquering new markets together’ was the motto of the MOBOTIX Innovation Summit DACH 2019 held in Langmeil (located in the German state of Rhineland-Palatinate). The main topic was the opening of new market opportunities through a global network of partnerships and technology alliances. More than 150 participants from Germany, Austria and Switzerland learned about trends in the global markets for cyber security as well as the latest, market-ready MOBOTIX innovations. In addition, participants were given thorough insight into the MOBOTIX community and networking opportunities throughout Europe and beyond. Cyber Security Solutions MOBOTIX plans to launch a camera platform developed together with Konica Minolta One of the highlights at the Innovation Summit was a glimpse into the near future: At the end of the year, MOBOTIX plans to launch a camera platform developed together with Konica Minolta that is tailored to deep learning methods. This platform forms the basis for the market solutions developed jointly by MOBOTIX and its technology partners, and at the same time provides access to global distribution. The prototype shown at the event and the planned functions and features impressed and enthused the visitors, as they did the week before in Athens, where MOBOTIX held this year's Innovation Summit Europe. “MOBOTIX is undergoing a transformation process whereby we are evolving from a product manufacturer to a full-service provider of cyber security solutions based on our strong German DNA,” explained Thomas Lausten, CEO of MOBOTIX, at the conference. Energy-Efficient Systems MOBOTIX will also build off of strategic alliances, the expansion of technology and solution partnerships and a comprehensive range of intelligent end-to-end solutions for existing and new vertical markets. “The focus is on decentralized intelligence that ensures that tomorrow's CCTV monitoring is very different from what we see today,” said Lausten. In the new Partner Society, MOBOTIX will work closely with its global partners to develop cybersafe and decentralized, energy-efficient systems, thereby creating greater added value. “The key factors here are ensuring trust, innovation and reliability in an increasingly diverse and permanently changing market,” emphasized Lausten. In addition, the Partner Society will not only promote innovation, but also create new opportunities for business growth through a onestop shop with intelligent, cyber-safe video technologies – beyond human vision, said Lausten, referring to the MOBOTIX slogan. Global Customer Network The Partner Society will help us make the most of the expertise of all stakeholders across our channels" “The Partner Society will help us make the most of the expertise of all stakeholders across our channels,” Lausten explained. “Whether we’re dealing with niche or broadband solutions, it's a platform for developing a global customer network.” The conference was accompanied by an exhibition featuring several Technology Alliance partners. Kentix, Microsens, Real Network, PATLITE, Intercoax, Cathexis, eks Engel, Nelysis, Milestone, Genetec, EIZO, Eagle Eye and Frogblue presented their latest products and services. “We’re excited about the lively discussions, the exciting presentations and the unique group dynamics that made the MOBOTIX Innovation Summit DACH 2019 a success. We see a great deal of potential – and together with our partners, we aim to develop and take full advantage of it,” concludes Lausten. Immediately after the German conference, the MOBOTIX CEO visited ISC West in Las Vegas. At this event, the company presented itself to the American market, showed the latest innovations to MOBOTIX partners and interested visitors and provided an outlook on upcoming developments.
Milestone Systems have hired Jos Beernink as new EMEA Director Channel Sales, reporting to Malou Toft, VP EMEA. Jos Beernink’s most recent position was as VP EMEA Sales at Genetec and with previous positions at Honeywell Security and Fire/ADI, Samsung Electronics and Tech Data. EMEA Channel Sales Head Jos Beernink will lead EMEA Channel Sales, which is comprised of four sales regions with regional sales managers as direct reports; North Europe, Middle Europe and South Europe as well as Middle East & Africa. “I am thrilled to be able to attract a true industry heavyweight as Jos Beernink”, says Malou Toft, VP EMEA for Milestone Systems. “Jos brings a wealth of channel and industry experience to his new team and to Milestone Systems.” Expanding Beyond Security The appointment of Jos Beernink is part of the new EMEA organization announced in January, aimed at helping Milestone Systems’ community grow, in and beyond security in verticals like retail, transportation and safe cities. The new EMEA organization has three specialized sales areas and a strong consolidated sales & tech operation.
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