Hikvision Video Servers (IP Transmission) / Video Encoders(47)
1 channels, Data Input, Audio Input, Alarm Input, H.264/ JPEG /M-JPEG/MPEG-4, IPv4/v6, HTTP, HTTPS, QoS layer3 DiffServ, FTP, SMTP, Bonjour, UPnP, SNMPv1/v2c/v3(MIB-II), DNS, DynDNS, hkDDNS, NTP, RTSP, RTP/RTCP, TCP, UDP, IGMP, ICMP, DHCP, ARP, SOCKSv4/v5, PSIA, OnVIF, Hik CGI, netFilter, 1 RJ-45 10 M / 100 Mbps adaptive Ethernet interface (PoE), 30 fps, PTZ, 80 x 39 x 90,Add to Compare
Audio Input, Alarm Input, H.264, TCP/IP, UDP, IPv4, IPv6; HTTP, RTP, RTSP, NFS, ISCSI, DHCP, NTP, SMTP, SNMPv1, SNMPv2c, SNMPv3, UPNP, SADP, PPPoE, DNS, FTP; IP Server, Dyndns, PeanutHull, HiDDNS, NO-IP; PSIA, HIKCGI, ONVIF., 1 10 M / 100 M /1000 Mbps Ethernet interface, 1920 x 1080, 60 fps, Linux, 200 x 123 x 39, 1,500, 13 W, 12 V DC, -10 ~ +55 C (14 ~ 131 F), 10 ~ 90Add to Compare
8 channels, Data Input, Audio Input, Alarm Input, H.264/ JPEG /M-JPEG/MPEG-4, SADP(IP Finder),UDP, RTP and NTP, 10/100/1000 Mbps self-adaptive Ethernet interface, 1920 x 1080, 440 x 340 x 70, 5,200, 50 W, 100 ~ 240 V AC, -10 ~ +55 C (14 ~ 131 F), 10 ~ 90Add to Compare
1 channels, Audio Input, Alarm Input, H.264/ JPEG /M-JPEG/MPEG-4, IPv4/v6, HTTP, HTTPS, QoS layer3 DiffServ, FTP, SMTP, Bonjour, UPnP, SNMPv1/v2c/v3(MIB-II), DNS, DynDNS, hkDDNS, NTP, RTSP, RTP/RTCP, TCP, UDP, IGMP, ICMP, DHCP, ARP, SOCKSv4/v5, PSIA, OnVIF, Hik CGI, netFilter, RJ-45 10M/100Mbps adaptive Ethernet, 30 fps, 315 × 45 × 200,Add to Compare
4 channels, Audio Input, Alarm Input, H.264/ JPEG /M-JPEG/MPEG-4, IPv4/v6, HTTP, HTTPS, QoS layer3 DiffServ, FTP, SMTP, Bonjour, UPnP, SNMPv1/v2c/v3(MIB-II), DNS, DynDNS, hkDDNS, NTP, RTSP, RTP/RTCP, TCP, UDP, IGMP, ICMP, DHCP, ARP, SOCKSv4/v5, PSIA, OnVIF, Hik CGI, netFilter, RJ-45 10M/100Mbps adaptive Ethernet, 30 fps, 315 × 45 × 200,Add to Compare
8 channels, Audio Input, Alarm Input, H.264/ JPEG /M-JPEG/MPEG-4, IPv4/v6, HTTP, HTTPS, QoS layer3 DiffServ, FTP, SMTP, Bonjour, UPnP, SNMPv1/v2c/v3(MIB-II), DNS, DynDNS, hkDDNS, NTP, RTSP, RTP/RTCP, TCP, UDP, IGMP, ICMP, DHCP, ARP, SOCKSv4/v5, PSIA, OnVIF, Hik CGI, netFilter, RJ-45 10M/100M/1000Mbps adaptive Ethernet, 30 fps, 315 × 45 × 200,Add to Compare
16 channels, Audio Input, Alarm Input, H.264/ JPEG /M-JPEG/MPEG-4, IPv4/v6, HTTP, HTTPS, QoS layer3 DiffServ, FTP, SMTP, Bonjour, UPnP, SNMPv1/v2c/v3(MIB-II), DNS, DynDNS, hkDDNS, NTP, RTSP, RTP/RTCP, TCP, UDP, IGMP, ICMP, DHCP, ARP, SOCKSv4/v5, PSIA, OnVIF, Hik CGI, netFilter, RJ-45 10M/100M/1000Mbps adaptive Ethernet, 30 fps, 440 × 45 × 274,Add to Compare
1 channels, Audio Input, Alarm Input, H.264, TCP / IP, UDP, IPv4, IPv6; HTTP, RTP, RTSP, NFS, ISCSI, DHCP, NTP, SMTP, SNMPv1, SNMPv2c, SNMPv3, UPNP, SADP, PPPoE, DNS, FTP; IP Server, Dyndns, PeanutHull, NO-IP; PSIA, 1 RJ-45 10 M / 100 M /1000 Mbps adaptive Ethernet interface, 1920 x 1080, 1 / 16 ~ 25 / 30 / 50 /60 fps, 200 x 123 x 39, ? 1500, 12 VDC, ? 13 W, -10 ~ +55 C (-14 ~ +131 F), 10 ~ 90Add to Compare
Audio Input, Alarm Input, VGA - 2 channel, CVBS - 4 channel, H.264/MPEG-4, 1 RJ45 10/100/1000Mbps self-adaptive UTP Ethernet interface, 440 x 340 x 70, 5200, 50 W, 100 ~ 240V AC, -10 ~ +55 C (-14 ~ +131 F), 10 ~ 90Add to Compare
4 channels, Audio Input, Alarm Input, H.264, SADP (IP finder), UDP, RTP and RTSP , 1 RJ-45 10 M / 100 M /1000 Mbps adaptive Ethernet interface, 25 fps / 30 fps, 315 x 201 x 45, 2000, 8 W, 12 V DC, -10 ~ +55 C (-14 ~ +131 F), 10 ~ 90Add to Compare
4 channels, Audio Input, Alarm Input, H.264, SADP(IP Finder), UDP, RTP and RTSP , 1RJ-45 10 M / 100 Mbps self-adaptive UTP Ethernet interface, 4CIF , 25 fps / 30 fps, 201 x 136 x 42, 2000, 8 W, 12 V DC, -10 ~ +55 C (14 ~ 131 F), 10 ~ 90Add to Compare
2 channels, Audio Input, Alarm Input, H.264, SADP (IP finder), UDP, RTP and RTSP, 1 RJ-45 10 M / 100 M /1000 Mbps adaptive Ethernet interface, 4CIF, 25 fps / 30 fps, 315 x 201 x 45, 2000, 8 W, 12 V DC, -10 ~ +55 C (-14 ~ +131 F), 10 ~ 90Add to Compare
4 channels, Data Input, Audio Input, Alarm Input, H.264/ JPEG /M-JPEG/MPEG-4, IPv4/v6, HTTP, HTTPS, QoS layer3 DiffServ, FTP, SMTP, Bonjour, UPnP, SNMPv1/v2c/v3(MIB-II), DNS, DynDNS, hkDDNS, NTP, RTSP, RTP/RTCP, TCP, UDP, IGMP, ICMP, DHCP, ARP, SOCKSv4/v5, PSIA, OnVIF, Hik CGI, netFilter, 1 RJ-45 10 M / 100 Mbps adaptive Ethernet interface (PoE), 30 fps, PTZ, 114 x 48 x 128,Add to Compare
8 channels, Data Input, Audio Input, Alarm Input, H.264/ JPEG /M-JPEG/MPEG-4, IPv4/v6, HTTP, HTTPS, QoS layer3 DiffServ, FTP, SMTP, Bonjour, UPnP, SNMPv1/v2c/v3(MIB-II), DNS, DynDNS, hkDDNS, NTP, RTSP, RTP/RTCP, TCP, UDP, IGMP, ICMP, DHCP, ARP, SOCKSv4/v5, PSIA, OnVIF, Hik CGI, netFilter, 1 RJ-45 10 M / 100 M /1000 Mbps adaptive Ethernet interface, 30 fps, PTZ, 315 x 45 x 200,Add to Compare
16 channels, Data Input, Audio Input, Alarm Input, H.264/ JPEG /M-JPEG/MPEG-4, IPv4/v6, HTTP, HTTPS, QoS layer3 DiffServ, FTP, SMTP, Bonjour, UPnP, SNMPv1/v2c/v3(MIB-II), DNS, DynDNS, hkDDNS, NTP, RTSP, RTP/RTCP, TCP, UDP, IGMP, ICMP, DHCP, ARP, SOCKSv4/v5, PSIA, OnVIF, Hik CGI, netFilter, 1 RJ-45 10 M / 100 Mbps, 30 , 440 x 45 x 274, 4,000, 22 W, 12 V DC, -10 ~ +55 C (14 ~ 131 F), 10 ~ 90Add to Compare
16 channels, Data Input, Audio Input, Alarm Input, H.264/ JPEG /M-JPEG/MPEG-4, IPv4/v6, HTTP, HTTPS, QoS layer3 DiffServ, FTP, SMTP, Bonjour, UPnP, SNMPv1/v2c/v3(MIB-II), DNS, DynDNS, hkDDNS, NTP, RTSP, RTP/RTCP, TCP, UDP, IGMP, ICMP, DHCP, ARP, SOCKSv4/v5, PSIA, OnVIF, Hik CGI, netFilter, 1 RJ-45 10 M / 100 M /1000 Mbps adaptive Ethernet interface, 30 fps, PTZ, 114 x 48 x 128,Add to Compare
Browse Video Servers (IP Transmission) / Video Encoders
Video server (IP transmission) products updated recently
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.
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.
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.
Hikvision, an IoT solution provider with video as its core competency, announced its latest traffic product offering - the All-Rounder ITS camera - designed to improve road safety and optimise traffic flow. As the name implies, the camera encompasses different skills and abilities, boasting speed detection, traffic violation detection, automated plate recognition, and vehicle attribute analysis in one housing. “Hikvision is always pushing the boundaries of video technologies. Beyond the visual range that is perceived by video cameras, the abilities to understand other kinds of “senses” would allow even more precise monitoring and reporting of events or accidents,” says Frank Zhang, President of International Product and Solution Center at Hikvision. “This is multi-dimensional perception, a trend that we think will affect the security industry in the future.” Optimising traffic flow The new ITS camera is designed and developed with this multi-dimensional concept in mind. It is Hikvision’s first camera to integrate three otherwise separate modules in one unit with no compromise on performance, making the camera neat and flexible to be deployed for demanding environments, all in an easy and cost-effective manner. The product provides an HD camera, speed radar, and light array inside one housing. Specifically, it works with a multi-tracking radar that continuously monitors up to two or three traffic lanes - depending on the camera model, and identifies the speed and position of objects in the monitored area at a speed of up to 300 km/h. If a vehicle violates the speed limit, the embedded radar triggers the connected camera and a picture is taken of the vehicle and its licence plate. Conventional ANPR systems Incident detection helps to improve overall driving standards, which ultimately reduces the number of accidents In the event of infringements of traffic rules such as wrong-way driving, improper lane usage, or even failure to use a seat belt, the camera will capture images of the corresponding vehicle, recognise its licence plate and relevant information including vehicle type, colour, brand, and direction of movement, which can be addressed to the authorities in real-time or stored on board. Incident detection helps to improve overall driving standards, which ultimately reduces the number of accidents, improves road safety and further evens traffic flow. Employed with Deep Learning algorithms, the camera is able to recognise a much higher number of licence plates and with higher efficiency than conventional ANPR systems. Its GMOS sensor further ensures brighter and smoother images to be reproduced in challenging lighting conditions, especially in low-light environments. The camera’s embedded supplemental light features a 16-bead light array, offering an IR range of up to 40 metres at night. Seamless onsite configuration As all of these functionalities are integrated, the single product itself outperforms conventional ITS products with space-saving and less cabling for easier installation. It supports flexible pole- or side-mounting, which makes onsite configuration effortless. The Hikvision All-Rounder ITS camera is ideal for various scenes such as urban roads, highways, tunnels and toll stations. For more information, one can visit the product page of iDS-TCV907-BIR on the company’s official website.
Thermal cameras can be used for rapid and safe initial temperature screening of staff, visitors and customers. Used the right way, the cameras can help prevent unnecessary spread of viruses like the novel coronavirus. During the global pandemic, use of thermal cameras has increased, but they have not always been used correctly, and therefore, not effectively. Hikvision’s temperature screening thermal products are currently assisting users in initial temperature screening across the global market. During 2020, demand increased in most markets, and the company highly recommends that Hikvision’s thermographic cameras be used in accordance with local laws and regulations. Limitations of the technology include throughput and the impact of ambient conditions. Detect viruses and fever Hikvision releases a video that illustrates how skin temperature measurements are normalised within minutes Thermal cameras cannot detect viruses and fever and should only be used as a first line of screening before using secondary measures to confirm, says Stefan Li, Thermal Product Director at Hikvision. “We also believe it is important for businesses and authorities to use [thermal cameras] alongside a full programme of additional health and safety procedures, which includes handwashing, regular disinfection of surfaces, wearing protective clothing such as masks, and social distancing.” Hikvision has released a video that illustrates how skin temperature measurements are normalised within minutes after someone emerges from the cold. Mr. Li says the video demonstrates the accuracy of forehead measurement under difficult circumstances when people come inside from a cold outdoor environment. Temperature screening facilities “There have been some claims that measuring the forehead temperature is not as accurate as measuring the inner canthus, and we believe this video demonstrates the accuracy of forehead measurement very well,” he says. “We also illustrate how the skin temperature will experience a process of recovery (warming up), no matter if it is measured by a thermal camera or a thermometer.” Mr. Li adds that people should wait five minutes in such circumstances before starting a temperature measurement. “We hope that stakeholders who are involved in the design of temperature screening facilities and associated health and safety procedures will recognise how important it is to consider the skin temperature recovery time, and that forehead measurement can provide accurate test results,” says Mr. Li. Thermal imaging manufacturers The algorithm is based on a large number of test results to obtain a value that tends to be dynamically balanced The temperature measurement principle of thermal imaging is to detect the heat radiation emitted by the human body. The detected heat value often does not reflect the true internal body temperature of an individual. Furthermore, the temperature varies among different parts of the human, such as the forehead, ears, underarms, etc. A temperature compensation algorithm can be used to adjust the measured skin temperature to align with the internal body temperature. The algorithm is based on a large number of test results to obtain a value that tends to be dynamically balanced. At present, thermal imaging manufacturers in the market, and even forehead thermometer manufacturers, have developed their own algorithms to map the skin temperature measured by the camera to the internal body temperature, so as to compensate the skin temperature to the internal body temperature. Thermal cameras This is also why Hikvision recommends that the "actual body temperature" should be checked with a secondary device for confirmation. The calibration work for a thermal camera is completed in the production process at the factory, including calibration of reference values and detection point and so on. At the same time, the equipment parameters should be adjusted before on-site use to ensure accurate temperature reads. Hikvision does not deny the accuracy of temperature measurement at the inner canthus but prefers forehead temperature measurement and algorithms based on actual use scenarios, says Mr. Li. A large amount of test data and practical results indicates that the forehead is a correct and easy-to-use temperature measurement area, says the company. There are advantages and disadvantages of choosing different facial areas for temperature measurement. Default compensation temperature Two main approaches direct the measurement area and how compensation algorithms are applied: Forehead area + default forehead compensation algorithm value Upper half face (forehead + canthus) + default inner canthus compensation algorithm value. Both methods deploy compensation algorithms, but the default compensation temperature of the inner canthus will be less than the default compensation temperature of the forehead, generally speaking. The reason is that the temperature of the inner canthus of most people is higher than their forehead, so the temperature compensation is relatively low (i.e., closer to the actual temperature inside the body.) Upper face area Hikvision found that selecting the upper face area plus the default compensation value for the inner canthus resulted in situations when the calculated temperature is lower than the actual temperature. For the Hikvision solution, the forehead is a relatively obvious and easy-to-capture area on an entire face Mr. Li explains: “The reason is that when the camera cannot capture the position of the inner canthus (for example, when a person is walking, or the face is not facing the camera), the camera will automatically capture the temperature of the forehead. Then the result that appears is the sum of the forehead temperature plus the default compensation temperature of the inner canthus, which is lower than the actual temperature of the person being measured. Therefore, errors are prone to occur.” Thermal imaging products But for the Hikvision solution, the forehead is a relatively obvious and easy-to-capture area on an entire face. Also, the default forehead compensation temperature is based on rigorous testing and can also correctly mimic the actual temperature of the person being measured, says Mr. Li. After many test comparisons, considering that the results of forehead temperature measurement are relatively more stable, and in order to avoid the false results from inner canthus temperature measurement, Hikvision chose the forehead temperature measurement approach. “We look forward to bringing thermal imaging products from a niche market where there is a relatively high-end industry application to a mass market and serving more users,” says Mr. Li. Facial recognition terminals Additional application parameters can maximise effectiveness of thermal cameras for measuring body temperature: Positioning and height - All cameras must be mounted appropriately to avoid loss of accuracy and performance. The installation height of each camera must be adjusted according to camera resolution and focal length, and stable installation is needed to avoid errors caused by shaking. Ensuring a ‘one-direction path’ - The detection area must ensure that cameras capture the full faces of all those passing by or stopping, and obstacles should be avoided in the field of view, such as glass doors that block the camera. Adequate start-up and usage - A waiting time of more than 90 minutes is required for preheating, after the initial start-up. Before conducting a thermal scan, people should be given three to five minutes to allow their body temperature to stabilise. When Hikvision MinMoe facial recognition terminals are used, people must stand at a fixed distance, pass one by one, make a short stop, and face the camera directly. Hikvision cameras support efficient group screening, but one-by-one screening is suggested for more accurate results, says Mr. Li. Unstable environmental condition An unstable environmental condition may affect the accuracy of thermal camera systems Environmental factors can impact the accuracy of thermal cameras, and the idea of using a black body is to provide the camera with a reference point that has a stable temperature. The black body is heated to a specific temperature and helps the thermal camera to know how much error is caused by environmental factors in the room, and how the camera should calibrate itself in real time to improve its accuracy. A black body can help increase the temperature measurement accuracy, and the most common improvement is from ±0.5 degrees to ±0.3 degrees. However, it also increases the cost of the installation. In some markets, customers may require black bodies in order to comply with regulatory accuracy requirements. An unstable environmental condition may affect the accuracy of thermal camera systems for measuring temperature. Medical temperature measurement Therefore, Hikvision suggests that the ambient conditions should be met for installation and use. First of all, users should avoid installing devices in hot or changeable environments. All cameras require indoor environments with calm air, consistent temperature and no direct sunlight. Installation should also be avoided in semi-open locations that may be prone to changes in ambient conditions, such as doorways, and there should be enough stable, visible light. All devices should be installed to avoid backlighting, high temperature targets, and reflections in the field of view as far as possible. “We often see the misconception that thermal cameras can replace medical temperature measurement equipment, which is not the case,” says Mr. Li. Rapid preliminary screening “Temperature screening thermographic cameras are designed for the detection of skin-surface temperatures, and the measurement should be conducted to achieve rapid preliminary screening in public areas. It is really important that actual core body temperatures are measured subsequently with clinical measurement devices.”
A feeling of security is a universal human need. And beyond physical, bodily security, people need to know that their environment, investments, and belongings are safe as well. Security systems are installed in homes and businesses every day to create that sense of security. Compared to conventional sensor-based alarm systems, a surveillance system that utilises cameras has several advantages: The ability to watch events in real-time, Obtaining key data around those events, and Providing solid and accurate evidence for law enforcement. AcuSense technology Hikvision AcuSense technology distinguishes people and vehicles from other moving objects Empowered by deep learning algorithms, Hikvision AcuSense technology distinguishes people and vehicles from other moving objects. AcuSense is the perfect choice for an accessible and intelligent security system. AcuSense technology helps to focus on human and vehicle events in two ways: The device will only trigger an alarm when the preset intrusion type (human or vehicle) takes place, and Videos related to alarm events are sorted into human and vehicle categories for easier footage searches. With AcuSense Technology, users get some powerful functions, such as: Accurate alarm for humans and vehicles - Focus on alarms triggered by humans and vehicles while false alarms triggered by animals or irrelevant objects are vastly reduced. Visual and auditory warning - On-site response and deterrence methods using visual and customisable auditory warnings add another layer of protection. Search targets quickly by type - Video clips sorted by human and vehicle categories, and object classification improves search efficiency. Searching video clips gets easier Video clips are already sorted into the ‘Human Files’ and ‘Vehicle Files’. Users just need to click one of these categories and use time or location data to quickly locate the clip that they want. Compared to the conventional method that displays all video files at once, AcuSense technology enables carrying out searching much more easily. Ideal applications Residential – Intrusion detection and deterrence for home security Whether choosing to keep an eye on the house or hiring a professional service provider to look after security of the home, there are two functions that users will surely want to have: Prompt notification via smartphone Users will get a notification on the app or via SMS, when the alarm is triggered. Irrespective of who takes care of looking after intrusion events, it’s always good to have first-hand information. Users will get a notification on the app or via SMS, when the alarm is triggered. Then, they can check out the live video from their smartphone. Light and Sound Intruder Deterrence Knowing what the suspect looks like is important, especially for providing evidence to police. However, property losses have already occurred at that time. It would be even better if there were means that can provide on-site deterrence and prevent any loss at all. Network Cameras with AcuSense technology Network Cameras with AcuSense technology, white light and audio alarm can be set to react to intrusion events with a flashing light and customisable siren, alerting any would-be intruder that they are being monitored and have already been spotted. Turbo DVR with AcuSense technology requires a PIR/TurboX camera for visual and audible alarm. Factories – Accurate trespass alarm, 24 hours a day Factories and warehouses store high-value raw materials or commodities. Security here is crucial. However, there is usually only limited manpower to perform such tasks. Replace security patrols with camera monitoring Using AcuSense technology can greatly improve perimeter monitoring efficiency and ensure that limited human resources can be deployed only where most needed. Accurate Trespassing Alarm for Human Targets Factories and warehouses mostly deal with human intrusion events, which might turn into burglary or vandalism. The security team can set devices with AcuSense to send alerts only upon the detection of a human intrusion. Wild animals crossing the line will no longer trigger the alarm.
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