FLIR Systems Network Video Recorders (NVR) / Network DVRs(4)
Browse Network Video Recorders (NVR) / Network DVRs
Network Video Recorder (NVR) products updated recently
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 organisation'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. Organisations that deploy video surveillance devices paired with advanced analytics programs often leave themselves vulnerable to a breach without even realising 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 paralyse 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 analogue 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 organisation 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 organisation 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 organisation is the first step. Commonplace cybersecurity standards Below is a list of commonplace cybersecurity standards that all organisations 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 analyses 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 behaviours, 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.
FLIR Systems, Inc. has announced the releases of the new FLIR K1 handheld thermal imaging camera, available for purchase in the EMEA region. Touted to be FLIR’s most affordable camera for first responder officers and fire investigators, the FLIR K1 detects heat and provides visibility through smoke and in total darkness. It provides enhanced situational awareness for use in wildland fire control, search and rescue missions, structure damage evaluation, and investigative work. K1 thermal imaging camera The dual sensor FLIR K1 is powered by the FLIR Lepton thermal micro-camera “FLIR is committed to providing first responders with lifesaving technology and solutions that help them keep their communities safe,” said Jim Cannon, President and CEO of FLIR Systems. “At a more affordable price, the FLIR K1 will allow more emergency service professionals to adopt the power of thermal imaging and ensure a safer mission.” The dual sensor FLIR K1 is powered by the FLIR Lepton thermal micro-camera, FLIR’s smallest and lowest cost thermal camera core. The K1 uses FLIR’s patented MSX technology, which extracts high-contrast details from the images taken by an onboard visible light camera and superimposes them onto the thermal images. Patented MSX technology The FLIR K1 simultaneously captures thermal and visible images of a scene and stores up to 10,000 image sets to create post-scene reports, analysis and evidence. A pistol grip design allows users to view the scene from their line of sight for improved safety and situational awareness. The spot thermometer easily identifies unseen hot and cold spots for instant troubleshooting. The FLIR K1 carries an IP67 rating for water resistance, heat resistance up to 115°C, and can withstand a 2-metre drop onto concrete. An integrated, rechargeable battery lasts up to five hours on a single charge, and it also includes a 300-lumen flashlight that lends additional visibility of a scene. The FLIR K1 is now available for purchase in EMEA at a cost of 580 EUR and 521 GBP, excluding VAT.
Abu Dhabi is a major cultural and commercial centre in the United Arab Emirates (UAE), accounting for roughly two-thirds of the UAE’s economy. While oil and natural gas make up a large portion of its GDP, Abu Dhabi has positioned itself as a premiere tourist destination, with major investments in luxury resorts and business hotels. Consequently, public safety is a top priority — and FLIR Systems is playing a critical role in the city’s long-term safe city initiative. Recently, the Abu Dhabi Monitoring and Control Center (ADMCC) was tasked with integrating all public access cameras onto a single platform to provide fully uninterrupted coverage of the city. This is in compliance with the Safe City 2030 vision of His Highness Sheikh Mohammed bin Zayed Al Nahyan, Crown Prince of Abu Dhabi and President of the UAE. As part of this initiative, ADMCC launched the Falcon Eye project, where surveillance cameras and sensors would be installed across the city to enable real-time situational awareness, threat detection, data collection, data sharing among public safety organisations, and crime prevention. Updating video management system To manage such an extensive system under the Falcon Eye project, ADMCC needed to update its VMS softwareFalcon Eye expands Abu Dhabi’s existing surveillance system to thousands of license plate recognition cameras and surveillance cameras, with cameras equipped with video analytics and/or facial recognition capabilities. To manage such an extensive system under the Falcon Eye project, ADMCC needed to update its video management system (VMS) software. ADMCC sought a VMS that would provide enhanced image quality, as well as increased storage and integrity of streamed video. The VMS also needed to be able to incorporate current, emerging and future technologies, such as Big Data, cyber protection, smart cameras, analytics at the edge, and automated camera management. Additionally, ADMCC required a cost-effective VMS that would seamlessly integrate with the existing physical security management information (PSIM) without compromising any data or operations from subsystems. Reliable software solution for video surveillance Previously, ADMCC had a strong relationship with FLIR, having deployed an older FLIR United VMS version for several years. After careful research and evaluation, ADMCC chose to continue partnering with FLIR as the industry leader in advanced video solutions in the safe city sector. ADMCC selected the most recent FLIR United VMS release as its VMS for the Falcon Eye initiative. FLIR United VMS is a reliable, enterprise-level software solution for video surveillance supporting an unlimited number of cameras over IP networks. Complying with ONVIF Profile S, Latitude ensures greater compatibility between cameras and the VMS Part of FLIR’s award-winning United VMS platform, Latitude features enhanced cyber security protocols. Its distributed server architecture enables unlimited scalability, multi-site deployments and sophisticated network topologies. Latitude’s open platform functionality provides advanced edge device integration, bringing together hundreds of third-party technologies. Complying with ONVIF Profile S, Latitude ensures greater compatibility between cameras and the VMS. Integrating Latitude and PSIM solution ADMCC upgraded to the recent United VMS version in June 2017. With special support from the FLIR team, the integration of Latitude and ADMCC’s in-house PSIM solution was successfully completed without any data loss. Adding value to the integration was the presence of an in-house FLIR engineer, who provided insight and guidance throughout the process. “FLIR is considered one of ADMCC’s trusted vendors, delivering regular upgrades and specialist support to our operations when needed,” said His Excellency Saeed Al-Neyadi, Director General at ADMCC. “The on-site FLIR engineer provided an immeasurable value to ADMCC.” Ensures maximum integrity and reliability One of the defining characteristics of United VMS is its simplicity and easy user interface. United VMS offers simplified access in managing and controlling video operations for the support staff. For all safe city projects, the preservation and availability of data is paramount. United VMS ensures maximum integrity and reliability with exceptional failover, disaster recovery capabilities" “The use of actionable information through data collection is vital in running such a huge scale operation such as Safe City initiatives,” Mr. Khalfan Al Hassani (ICT Director) said. “United VMS ensures maximum integrity and reliability with exceptional failover, disaster recovery capabilities, and 24/7 redundant recording.” Day/night safety of city and residents ADMCC oversees one of the world’s leading safe city solutions that utilises license plate recognition, facial recognition, video analytics and video management from over 45,000 sensors spread across the Emirate. United VMS serves as the central operational platform for all data of this unified platform, providing an efficient combination of video software and server hardware. By utilising the state-of-the-art technologies and subsystems brought together by United VMS, ADMCC ensures the safety of the city and its residents at all hours of the day and night. “United VMS has given ADMCC a reliable, stable, robust and secure platform for the past six years,” said Al Hassani. “It underpins a custom PSIM solution that supports various government agencies in Abu Dhabi helping the city to be ranked the ‘Safest City in the World.’”
New Covent Garden Market is the largest wholesale fruit, vegetable, and flower market in the United Kingdom. Redevelopment work launched in 2015 included a new security monitoring system, as well as a migration from analogue security equipment to an IP solution from FLIR Systems. New Covent Garden Market is a phenomenon in London, to say the least. The world-famous wholesale market provides 40 percent of London’s fresh fruit and vegetables eaten outside the home and serves 75 percent of London’s florists. With more than 175 affiliated businesses, New Covent Garden Market is the largest wholesale market in the UK. IP-based security system Redevelopment construction works started in 2015 and should continue until 2022 When London authorities decided to redevelop the entire site on Nine Elms and Battersea in order to meet future needs, it was clear that New Covent Garden Market was facing a huge operational challenge. Redevelopment construction works started in 2015 and should continue until 2022. In addition to a better road layout, improved waste management, and upgraded parking facilities, the market authorities wanted better security so that employees, tenants, customers and suppliers would feel safer. The organisation wanted to upgrade its legacy analogue CCTV technology to an IP-based security system capable of incorporating future upgrades. Surrey-based company Phoenix Integrated Security Limited, which had been the security solution provider for New Covent Garden Market for years, oversaw the security overhaul, as well. Future-proof system “We designed a security system together with the end customer and the site constructor so that it could meet today’s security standards again,” said Trevor Hearn, Director at Phoenix Integrated Security Limited. “We were looking for a future-proof system that was able to monitor this complex site and that was easy to work with for our security guard personnel. We looked at various manufacturers for this, but FLIR Systems was the only company that ticked all the boxes.” Phoenix opted for FLIR United VMS, which includes FLIR’s enterprise-level software solution Latitude, and a wide range of FLIR IP cameras. At the end of 2018, New Covent Garden Market already had more than 300 IP cameras installed across the entire site it intends to gradually upgrade all analogue systems over a five-year period. Wide range of cameras The image quality of the FLIR IP cameras represents a huge improvement over analogue The site combines a wide range of cameras, including the FLIR Quasar 4K fixed box camera, the FLIR Ariel Quad HD bullet camera, and the Quasar 1080p PTZ camera. The cameras offer high evidentiary detail and discreet, compact form factors. According to Hearn, the image quality of the FLIR IP cameras represents a huge improvement over analogue. Image quality is not the only benefit of using United VMS. Another valued feature is the platforms scalability. From 2016 onwards, New Covent Garden Market has been gradually replacing analogue cameras and storage equipment across the entire site, and Latitude has the flexibility to incorporate an unlimited number of channels. Body-worn cameras Operators have the flexibility to present their video sources on screen where they want and define user profiles to see only specific video sources from a given particular building, for example. “This project is an engineer’s dream,” said Hearn. “The FLIR Latitude system allows New Covent Garden Market to easily expand their camera network whenever they feel the need and to connect with practically any camera they want, including body-worn cameras. The Latitude system is also easy to couple with third-party systems, such as intercom and access control systems.”
A blind spot in governance, risk and complianceDownload
H.265 High Efficiency Coding: Video compression for security applicationsDownload
How to overcome the storage challenges of adopting surveillance AIDownload
- IDIS installs its fisheye and PTZ cameras to enhance security at Bluebird House
- Stanley Security’s IP-based CCTV security system secures Bridgnorth Aluminium Limited
- IDIS video technology prepares Netherlands’ Circuit Zandvoort for 2020 Formula 1 Grand Prix
- Gruppo Peroni Race utilises Hikvision IP video products to make races more accessible to the general public