Verint IP Dome Cameras(30)
1/3 inch, True Day / Night, 2 MP, HD, Megapixel, 0.00 lux, Surface mount, 24 V AC, 3 ~ 9 mm, H.264, MJPEG, Back Light Compensation, Auto Gain Control, White Balance, Built-in IR LED, Ethernet 10/100 Base-T, IPv4/v6, TCP/IP, UDP, RTP, RTSP, HTTP, HTTPS, ICMP, FTP, SMTP, DHCP, PPPoE, UPnP, IGMP, SNMP,QoS, ONVIF, DHCP, NTP, DNS, DDNS, CoS, QoS, SNMP and 802.1X, 30 fps, 8.6 W, 149 x 99, 524, 0 ~ 40 C (32 ~ 104 F), 0 ~ 90Add to Compare
1/3 inch, Colour, 0 lux, Indoor, Surface mount, 12 V DC, PoE, 3 ~ 9, H.264, MJPEG, MPEG4, Back Light Compensation, Auto Gain Control, White Balance, Internal, 1 Vp-p, CVBS, 75 Ohms, Ethernet 10/100 Base-T, IPv4, IPv6, TCP/IP, UDP/IP, HTTP, HTTPS, UPnP,, 30 fps, 4 W, 181 x 116, 750, 0 ~ 50, 0 ~ 90, IP66Add to Compare
Verint Nextiva® S5000 Series IP cameras incorporate advanced H.264 compression technology to deliver crystal clear images, ultra-efficient bandwidth management, and excellent performance in a variety of discreet video surveillance applications. These professional IP cameras feature resolutions from VGA to high-definition 2.0 megapixel to accommodate a wide range of wide surveillance requirements.Nextiva IP cameras offer a variety of form factors to meet any surveillance application - from traditional "box" cameras and indoor dome cameras, to outdoor all-weather vandal dome and pan-tilt/zoom systems. Features such as true day/night performance, extreme wide-dynamic range, high-definition imagery, and on-camera storage deliver crisp detail in any video application.Add to Compare
1/3 inch, Colour, 0 lux, Surface mount, 12 V DC, 24 V AC, 3 ~ 9, H.264, MJPEG, MPEG4, Back Light Compensation, Auto Gain Control, White Balance, 1/50 ~ 1/100,000, 48, Internal, PAL, 1 Vp-p, CVBS, 75 Ohms, RJ-45, Ethernet 10/100 Base-T, TCP/IP, UDP/IP, HTTP, HTTPS, UPnP, RTSP/RTP/RTCP, 30 fps, 4 W, 170 x 135, 2200, -20 ~ +50, 0 ~ 90, IP66Add to Compare
1/4 inch, Colour, 0.3 lux, Indoor, Surface mount, 12 V DC, PoE, 3.3 ~ 12, H.264, MJPEG, MPEG4, Back Light Compensation, Auto Gain Control, White Balance, Internal, 1 Vp-p, CVBS, 75 Ohms, Ethernet 10/100 Base-T, IPv4, IPv6, TCP/IP, UDP/IP, HTTP, HTTPS, UPnP,, 30 fps, 4 W, 181 x 116, 750, 0 ~ 50, 0 ~ 90, IP66Add to Compare
1/3 inch, Colour / Monochrome, 1920 x 1080, Variable Focus, 0.00 lux, 12V DC, PoE, 3 ~ 9, H.264, MPEG-4, M-JPEG, Back Light Compensation, Auto Gain Control, White Balance, Built-in IR LED, Ethernet 10/100Base-T , IPv4, IPv6, TCP/IP, HTTP, UPnP, RTSP/RTP/RTCP, IGMP, SMTP, FTP, DHCP, NTP, DNS, DDNS, CoS, QoS, SNMP*, 30 fps, 5.8 W, 160 x 109, 828, 32 ~ 122, 0 ~ 90Add to Compare
1/4 inch, Colour / Monochrome, 560, PTZ, 0.01 lux, 360 o/ sec pan speed, Indoor/Outdoor, 184 o/ sec tilt speed, 24 V AC, H.264, M-JPEG, Back Light Compensation, Auto Gain Control, White Balance, 1/4 ~ 1/10,000sec, 50, Internal / Line lock, PAL / NTSC, 1Vpp, 75 Ohm, x36 optical, x12 digital, RS485, 46 W, 217 x 324, 4,000, -40 ~ 60, 20 ~ 80Add to Compare
1/3 inch, Colour / Monochrome, 2 MP, HD, Megapixel, PTZ, 0.5 ~ 90 o/ sec pan speed, Outdoor, Digital (DSP), 0.5 ~ 90 o/ sec tilt speed, Ceiling mount, 24 V AC, 360, 256, H.264, Back Light Compensation, Auto Gain Control, White Balance, 1 ~ 1/10,000 sec, x18, 10/100 MB Ethernet (RJ-45), IPv4/v6, TCP/IP, UDP, RTP, RTSP, HTTP, HTTPS, ICMP, FTP, SMTP, DHCP, PPPoE, UPnP, IGMP, SNMP, IEEE 802.1x, QoS, ONVIF, 1 ~ 30 fps, 32 GB, 52 W, 192 x 283, 2,320, -40 ~ 50 C (-40 ~ 122 F), IP66, IE (6.0+), Firefox, Chrome, SafariAdd to Compare
Verint Systems Inc. recently announced enhancements and new functionality to its Nextiva portfolio, a comprehensive suite of video and situation management solutions designed specifically for an array of verticals, including critical infrastructure and enterprise environments. Over the past decade, the number and types of risks facing critical infrastructure sites and high-profile enterprise organisations have increased. To help mitigate potential impact, organisations are looking to strengthen their security programs through the addition of advanced security intelligence solutions. To support market requirements, Verint continues to advance its proven solutions for these environments with enhancements that leverage advanced technologies, are vertical-focused and backed by subject matter expertise. Among the latest capabilities in its Nextiva portfolio are a series of advancements designed to help security operations centres identify, manage, respond and investigate emerging security threats and situations more efficiently and effectively. They include: Nextiva PSIM Nextiva PSIM helps generate video-centric, real-time situation intelligence from vast amounts of data to enhance security, while streamlining management and optimising costs. The latest version of the PSIM solution introduces deeper integrations with third-party systems for video management, access control, license plate and face recognition to help accelerate implementations and streamline usability. An expanded software development kit (SDK) enables integrators to develop customised applications and integrations based on specific project and customer parameters. Nextiva PSIM also includes visual tracking to track subjects across cameras. The software platform leverages proximity calculations and visual video layout to enable operators to track subjects in highly dense and complex environments. An additional integration with ELERTS Security Ops Center provides a new Crowdsourcing Intelligence capability, enabling command, control and communications centres to provide situation awareness by allowing smartphone users to easily report safety and security concerns. Users can transmit photos, text and GPS locations to a designated command center, and operators can broadcast safety alerts and watch-lists to ELERTS app users. This real-time, two-way communication between dispatchers and smartphone users further expands the capability of the Nextiva PSIM solution from being able to gather data and extract intelligence from sensors and systems to now leveraging localised human intelligence, instinct and intuition. Nextiva Video Management Software Nextiva Video Management Software offers an intuitive user interface to help streamline system management. New enhancements include the ability to play back high-definition (HD) footage on low bandwidth for remote investigation, while allowing the complete video details to be accessed as needed. This adaptive remote viewing capability delivers faster investigations for mobile or remote operations, and enables organisations to take advantage of the rich video detail delivered by today’s HD surveillance cameras. Nextiva Surveillance Analytics Nextiva Surveillance Analytics leverages video to gain an enhanced level of security intelligence. Advanced and adapted algorithms deliver rapid detection. When combined with Nextiva Event Manager—a powerful application for collecting case-related video, audio and data in a searchable database—rule-based video content analysis helps operators prioritise video events with detected rules violations, allowing them to respond accordingly. Nextiva IP Cameras The new Verint Nextiva V5620PTZ is an IP pan-tilt-zoom surveillance camera equipped with 1080p HD resolution. Designed as a compact but robust appliance, the all-weather, high-speed PTZ camera features powerful zoom capabilities and superior image capture for comprehensive coverage of expansive environments. In addition, Verint’s Nextiva V4320 WDR line features true wide dynamic range (WDR) technology using dual-shutter exposure to achieve a higher level of performance compared to digital WDR. Verint also continues to provide third-party camera integration options through its compliance with the latest Open Network Video Interface Forum (ONVIF) specifications, including ONVIF Profile S. The value of technology in critical infrastructure and enterprise markets Verint’s Nextiva portfolio of video and situation awareness solutions provides security leaders in cities, municipalities, transportation, energy, government, education, healthcare and corporate organisations with technology to help optimise their security operations. “With our enhanced suite of technologies, we have significantly advanced our solutions to help critical infrastructure and enterprise operations environments streamline video capture and enhance situation awareness,” explains Steve Weller, senior vice president and general manager, Verint Video and Situation Intelligence Solutions. “In doing so, we remain squarely focused on our customers and equipping them with the capabilities they require to meet their ever-evolving organisational and security needs.”Add to Compare
1/3 inch, Colour / Monochrome, 0.06 lux, Outdoor, Surface mount, 12 V DC, H.264, MPEG-4, MJPEG, Back Light Compensation, Auto Gain Control, White Balance, 69, PAL, NTSC, Built-in IR LED, x3, Ethernet 10/100 Base-T, IPv4, IPv6, TCP/IP, HTTP, UPnP, RTSP/RTP/RTCP, IGMP, SMTP, FTP, DHCP, NTP, DNS, DDNS, CoS, QoS, SNMP and 802.1X, 30 fps, 5.8 W, 173 x 115, 1444, -40 ~ +50, 0 ~ 100Add to Compare
1/4 inch, Colour / Monochrome, 560, PTZ, 0.005 lux, 360 o/ sec pan speed, Indoor/Outdoor, 184 o/ sec tilt speed, 24 V DC, Back Light Compensation, Auto Gain Control, White Balance, 1/4 ~ 1/10,000 sec, 50, Internal / Line lock, PAL / NTSC, Built-in IR LED, 1Vpp, 75 Ohm, x28 optical, x12 digital, RS485, 46 W, 217 x 324, 4,000, -40 ~ 50, 20 ~ 80, IP67Add to Compare
1/3 inch, Colour / Monochrome, 1920 x 1080, HD, 0.1 lux, Digital (DSP), In-ceiling mount, PoE , 2.5 mm, H.264, MJPEG, Back Light Compensation, Auto Gain Control, White Balance, Ethernet 10/100 Base-T, IPv4, IPv6, TCP/IP, HTTP, UPnP, RTSP/RTP/RTCP, IGMP, SMTP, FTP, DHCP, NTP, DNS, DDNS, CoS, QoS, SNMP and 802.1X, 1 ~ 30 fps, 4 W, 97 x 106, 300, 0 ~ 50 C (32 ~ 122 F), 0 ~ 90Add to Compare
1/3 inch, Colour / Monochrome, 1920 x 1080, HD, 0.1 lux, Digital (DSP), In-ceiling mount, PoE, 3.4 mm, H.264, MJPEG, Back Light Compensation, Auto Gain Control, White Balance, Ethernet 10/100 Base-T, IPv4, IPv6, TCP/IP, HTTP, UPnP, RTSP/RTP/RTCP, IGMP, SMTP, FTP, DHCP, NTP, DNS, DDNS, CoS, QoS, SNMP and 802.1X, 1 ~ 30 fps, 4 W, 97 x 106, 300, 0 ~ 50 C (32 ~ 122 F), 0 ~ 90Add to Compare
1/4 inch, Colour / Monochrome, 560, Continuous Rotation, 0.04 lux, 360 o/ sec pan speed, Indoor/Outdoor, 170 o/ sec tilt speed, 24 V DC, 4.1-73.8, H.264, M-JPEG, Back Light Compensation, Auto Gain Control, White Balance, 1/4 ~ 1/10,000sec, 50, Internal / Line lock, PAL / NTSC, 1Vpp, 75 Ohm, 18x optical, 12 x digital, RS485, 30 fps, 18 W, 250 x 257, 3,600, 10 ~ 50, 20 ~ 80Add to Compare
1/3 inch, Colour / Monochrome, 2 MP, HD, Megapixel, PTZ, 0.5 ~ 90 o/ sec pan speed, Indoor, Digital (DSP), 0.5 ~ 90 o/ sec tilt speed, Ceiling mount, 24 V AC, 360, 256, H.264, Back Light Compensation, Auto Gain Control, White Balance, 1 ~ 1/10,000 sec , x18, 10/100 MB Ethernet (RJ-45), IPv4/v6, TCP/IP, UDP, RTP, RTSP, HTTP, HTTPS, ICMP, FTP, SMTP, DHCP, PPPoE, UPnP, IGMP, SNMP, IEEE 802.1x, QoS, ONVIF, 1 ~ 30 fps, 32 GB, 22 W, 172 x 229, 1,620, 0 ~ 40 C (32 ~ 104 F), IP66 , IE (6.0+), Firefox, Chrome, SafarAdd to Compare
1/3 inch, Colour / Monochrome, 1920 x 1080, HD, 0.1 lux, In-ceiling mount, PoE, 6.0 mm, H.264, MJPEG, Back Light Compensation, Auto Gain Control, White Balance, Ethernet 10/100 Base-T, IPv4, IPv6, TCP/IP, HTTP, UPnP, RTSP/RTP/RTCP, IGMP, SMTP, FTP, DHCP, NTP, DNS, DDNS, CoS, QoS, SNMP and 802.1X, 1 ~ 30 fps, 4 W, 97 x 106, 300, 0 ~ 50 C (32 ~ 122 F), 0 ~ 90Add to Compare
1/3 inch, Colour / Monochrome, 5 MP, Megapixel, 0.1 lux, Outdoor, Digital (DSP), Surface mount, 12 V DC , 3 ~ 9 mm, H.264, MPEG-4, MJPEG, Back Light Compensation, Auto Gain Control, White Balance, 69, NTSC/PAL, BNC, Ethernet 10/100 Base-T, IPv4, IPv6, TCP/IP, HTTP, UPnP, RTSP/RTP/RTCP, IGMP, SMTP, FTP, DHCP, NTP, DNS, DDNS, CoS, QoS, SNMP and 802.1X, 1 ~ 8 fps, Mirco SD card slot - up to 32 GB, 5 W, 173 x 115, 1,444, -40 ~ 50 C (-40 ~ 122 F), 0 ~ 100, IP66Add to Compare
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While the application of facial recognition within both public and private spheres continues to draw criticism from those who see it as a threat to civil rights, this technology has become extremely commonplace in the lives of iPhone users. It is so prevalent, in fact, that by 2024 it is predicted that 90% of smartphones will use biometric facial recognition hardware. CCTV surveillance cameras Similarly, CCTV is a well-established security measure that many of us are familiar with, whether through spotting images displayed on screens in shops, hotels and offices, or noticing cameras on the side of buildings. It is therefore necessary we ask the question of why, when facial recognition is integrated with security surveillance technology, does it become such a source of contention? It is not uncommon for concerns to be voiced against innovation. History has taught us that it is human nature to fear the unknown, especially if it seems that it may change life as we know it. Yet technology is an ever-changing, progressive part of the 21st century and it is important we start to shift the narrative away from privacy threats, to the force for good that LFR (Live Facial Recognition) represents. Live Facial Recognition (LFR) We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition Across recent weeks, we have seen pleas from UK organisations to allow better police access to facial recognition technology in order to fight crime. In the US, there are reports that LAPD is the latest police force to be properly regulating its use of facial recognition to aid criminal investigations, which is certainly a step in the right direction. While it is understandable that society fears technology that they do not yet understand, this lack of knowledge is exactly why the narrative needs to shift. We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition, we respect these anxieties. However, it is time to level the playing field of the facial recognition debate and communicate the plethora of benefits it offers society. Facial recognition technology - A force for good Facial recognition technology has already reached such a level of maturity and sophistication that there are huge opportunities for it to be leveraged as a force for good in real-world scenarios. As well as making society safer and more secure, I would go as far to say that LFR is able to save lives. One usage that could have a dramatic effect on reducing stress in people with mental conditions is the ability for facial recognition to identify those with Alzheimer’s. If an older individual is seemingly confused, lost or distressed, cameras could alert local medical centres or police stations of their identity, condition and where they need to go (a home address or a next of kin contact). Granted, this usage would be one that does incorporate a fair bit of personal data, although this information would only be gathered with consent from each individual. Vulnerable people could volunteer their personal data to local watchlists in order to ensure their safety when out in society, as well as to allow quicker resolutions of typically stressful situations. Tracking and finding missing persons Another possibility for real world positives to be drawn from facial recognition is to leverage the technology to help track or find missing persons, a lost child for instance. The most advanced forms of LFR in the market are now able to recognise individuals even if up to 50% of their face is covered and from challenging or oblique angles. Therefore, there is a significant opportunity not only to return people home safely, more quickly, but also reduce police hours spent on analysing CCTV footage. Rapid scanning of images Facial recognition technology can rapidly scan images for a potential match Facial recognition technology can rapidly scan images for a potential match, as a more reliable and less time-consuming option than the human alternative. Freed-up officers could also then work more proactively on the ground, patrolling their local areas and increasing community safety and security twofold. It is important to understand that these facial recognition solutions should not be applied to every criminal case, and the technology must be used responsibly. However, these opportunities to use LFR as force for good are undeniable. Debunking the myths One of the central concerns around LFR is the breach of privacy that is associated with ‘watchlists’. There is a common misconception, however, that the data of every individual that passes a camera is processed and then stored. The reality is that watch lists are compiled with focus on known criminals, while the general public can continue life as normal. The very best facial recognition will effectively view a stream of blurred faces, until it detects one that it has been programmed to recognise. For example, an individual that has previously shoplifted from a local supermarket may have their biometric data stored, so when they return to that location the employees are alerted to a risk of further crimes being committed. Considering that the cost of crime prevention to retailers in recent years has been around £1 billion, which therefore impacts consumer prices and employee wages, security measures to tackle this issue are very much in the public interest. Most importantly, the average citizen has no need to fear being ‘followed’ by LFR cameras. If data is stored, it is for a maximum of 0.6 seconds before being deleted. Privacy Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story. It is essential we spend more time and effort communicating exactly why watchlists are made, who they are made for and how they are being used, if we want to de-bunk myths and change the narrative. As science and technology professionals, heading up this exciting innovation, we must put transparency and accountability at the centre of what we do. Tony Porter, former Surveillance Camera Commissioner and current CPO at Corsight AI, has previously worked on developing processes that audit and review watch lists. Such restrictions are imperative in order for AI and LFR to be used legally, as well as ethically and responsibly. Biometrics, mask detection and contactless payments Nevertheless, the risks do not outweigh the benefits. Facial recognition should and can be used for good in so many more ways than listed above, including biometric, contactless payments, detecting whether an individual is wearing a facemask and is therefore, safe to enter a building, identifying a domestic abuse perpetrator returning to the scene of a crime and alerting police. There are even opportunities for good that we have not thought of yet. It is therefore not only a waste not to use this technology where we can, prioritising making society a safer place, it is immoral to stand by and let crimes continue while we have effective, reliable mitigation solutions.
Urban populations are expanding rapidly around the globe, with an expected growth of 1.56 billion by 2040. As the number of people living and working in cities continues to grow, the ability to keep everyone safe is an increasing challenge. However, technology companies are developing products and solutions with these futuristic cities in mind, as the reality is closer than you may think. Solutions that can help to watch over public places and share data insights with city workers and officials are increasingly enabling smart cities to improve the experience and safety of the people who reside there. Rising scope of 5G, AI, IoT and the Cloud The main foundations that underpin smart cities are 5G, Artificial Intelligence (AI), and the Internet of Things (IoT) and the Cloud. Each is equally important, and together, these technologies enable city officials to gather and analyse more detailed insights than ever before. For public safety in particular, having IoT and cloud systems in place will be one of the biggest factors to improving the quality of life for citizens. Smart cities have come a long way in the last few decades, but to truly make a smart city safe, real-time situational awareness and cross-agency collaboration are key areas which must be developed as a priority. Innovative surveillance cameras with integrated IoT Public places need to be safe, whether that is an open park, shopping centre, or the main roads through towns Public places need to be safe, whether that is an open park, shopping centre, or the main roads through towns. From dangerous drivers to terrorist attacks, petty crime on the streets to high profile bank robberies, innovative surveillance cameras with integrated IoT and cloud technologies can go some way to helping respond quickly to, and in some cases even prevent, the most serious incidents. Many existing safety systems in cities rely on aging and in some places legacy technology, such as video surveillance cameras. Many of these also use on-premises systems rather than utilising the benefits of the cloud. Smart programming to deliver greater insights These issues, though not creating a major problem today, do make it more challenging for governments and councils to update their security. Changing every camera in a city is a huge undertaking, but in turn, doing so would enable all cameras to be connected to the cloud, and provide more detailed information which can be analysed by smart programming to deliver greater insights. The physical technologies that are currently present in most urban areas lack the intelligent connectivity, interoperability and integration interfaces that smart cities need. Adopting digital technologies isn’t a luxury, but a necessity. Smart surveillance systems It enables teams to gather data from multiple sources throughout the city in real-time, and be alerted to incidents as soon as they occur. Increased connectivity and collaboration ensures that all teams that need to be aware of a situation are informed instantly. For example, a smart surveillance system can identify when a road accident has occurred. It can not only alert the nearest ambulance to attend the scene, but also the local police force to dispatch officers. An advanced system that can implement road diversions could also close roads around the incident immediately and divert traffic to other routes, keeping everyone moving and avoiding a build-up of vehicles. This is just one example: without digital systems, analysing patterns of vehicle movements to address congestion issues could be compromised, as would the ability to build real-time crime maps and deploy data analytics which make predictive policing and more effective crowd management possible. Cloud-based technologies Cloud-based technologies provide the interoperability, scalability and automation Cloud-based technologies provide the interoperability, scalability and automation that is needed to overcome the limitations of traditional security systems. Using these, smart cities can develop a fully open systems architecture that delivers interoperation with both local and other remote open systems. The intelligence of cloud systems can not only continue to allow for greater insights as technology develops over time, but it can do so with minimal additional infrastructure investment. Smart surveillance in the real world Mexico City has a population of almost 9 million people, but if you include the whole metropolitan area, this number rises sharply to over 21 million in total, making it one of the largest cities on the planet. Seven years ago, the city first introduced its Safe City initiative, and ever since has been developing newer and smarter ways to keep its citizens safe. In particular, its cloud-based security initiative is making a huge impact. Over the past three years, Mexico City has installed 58,000 new video surveillance cameras throughout the city, in public spaces and on transport, all of which are connected to the City’s C5 (Command, Control, Computers, Communications and Citizen Contact) facility. Smart Cities operations The solution enables officers as well as the general public to upload videos via a mobile app to share information quickly, fixed, body-worn and vehicle cameras can also be integrated to provide exceptional insight into the city’s operations. The cloud-based platform can easily be upgraded to include the latest technology innovations such as licence plate reading, behavioural analysis software, video analytics and facial recognition software, which will all continue to bring down crime rates and boost response times to incidents. The right cloud approach Making the shift to cloud-based systems enables smart cities to eliminate dependence on fibre-optic connectivity and take advantage of a variety of Internet and wireless connectivity options that can significantly reduce application and communication infrastructure costs. Smart cities need to be effective in years to come, not just in the present day, or else officials have missed one of the key aspects of a truly smart city. System designers must build technology foundations now that can be easily adapted in the future to support new infrastructure as it becomes available. Open system architecture An open system architecture will also be vital for smart cities to enhance their operations For example, this could include opting for a true cloud application that can support cloud-managed local devices and automate their management. An open system architecture will also be vital for smart cities to enhance their operations and deliver additional value-add services to citizens as greater capabilities become possible in the years to come. The advances today in cloud and IoT technologies are rapid, and city officials and authorities have more options now to develop their smart cities than ever before and crucially, to use these innovations to improve public safety. New safety features Though implementing these cloud-based systems now requires investment, as new safety features are designed, there will be lower costs and challenges associated with introducing these because the basic infrastructure will already exist. Whether that’s gunshot detection or enabling the sharing of video infrastructure and data across multiple agencies in real time, smart video surveillance on cloud-based systems can bring a wealth of the new opportunities.
Several major players vigorously employ biometric recognition technologies around the globe. Governments use biometrics to control immigration, security, and create national databases of biometric profiles. Being one of the most striking examples, the Indian Aadhaar includes face photos, iris, and fingerprints of about 1.2 billion people. Financial institutions, on their part, make use of biometrics to protect transactions by confirming a client's identity, as well as develop and provide services without clients visiting the office. Besides, biometric technology ensures security and optimises passenger traffic at transport facilities and collects data about customers, and investigates theft and other incidents in retail stores. Widespread use of biometrics Business, which suddenly boosted the development of biometrics, is an active user of biometric technology Business, which suddenly boosted the development of biometrics, is another active user of biometric technology. Industries choose biometric systems, as these systems are impossible to trick in terms of security, access control, and data protection. Being in demand in business, these three tasks are also relevant for the industry. However, the use of biometrics at industrial sites is discussed unfairly seldom. Therefore, it is the face identification that is the most convenient there, as workers often use gloves, or their hands may be contaminated, and the palm pattern is distorted by heavy labour. All these features make it difficult to recognise people by fingerprints or veins and significantly reduce identification reliability. Therefore, industries seek facial recognition solutions. Thus, let us demonstrate the application of face recognition technology at different enterprises, regardless of the area. Facial recognition use in incident management Facial biometric products are known to automate and improve the efficiency of security services by enriching any VMS system. These systems provide an opportunity of instantly informing the operator about recognised or unrecognised people, and their list membership, as well as save all the detected images for further security incident investigation. Furthermore, some sophisticated facial biometric systems even provide an opportunity to build a map of the movements of specific people around a site. Besides, it is relevant not only for conducting investigations but also in countering the spread of the COVID-19 virus. Identifying and tracking COVID-19 positive cases Therefore, if an employee or visitor with a positive COVID-19 test enters a facility, the system will help to track his/her movement and identify his/her specific location. It will also help to take the necessary measures for spot sanitary processing. Thus, the introduction of biometric facial recognition at the industrial enterprise can improve and speed up the incidents’ response and investigations without spending hours watching the video archive. Access control system to secure physical assets The right access control system can help industries secure physical and informational assets The right access control system can help industries secure physical and informational assets, cut personnel costs, and keep employees safe. Facial recognition systems may enrich access control systems of any company by providing more security. As biometric characteristics, by which the system assesses the compliance of a person with the available profiles in the database, cannot be faked or passed. The human factor is also reduced to zero, due to the fact that while identity documents can be changed, the inspector can make a mistake or treat his/her task carelessly, be in collusion with an intruder, the biometric system simply compares a person in front of the camera with the biometric profiles database. Biometric facial identification software For example, RecFaces product Id-Gate, a specialised software product for reliable access control to the site, checks the access rights by using biometric facial identification alone or in conjunction with traditional IDs (electronic passes, access keys, etc.), which means that there is almost a zero probability of passing to the site by someone else's ID. The access control system’s functionality allows one to strictly account the number and time of all the facility’s visitors and also track their movement. When unauthorised access is attempted or a person from the stop list is detected, Id-Gate sends an automatic notification to the access control system and operator. Enhanced data and information security Even despite the division of access to different industrial enterprise areas, the security service needs to provide independent information system security. Employees with the same facility access rights may have different access rights to data. However, in that case, a personal password is not enough, as an employee may forget it, write it down and leave it as a reminder, tell a colleague to do something for him/her during the vacation, or just enter it at another person’s presence. Password-free biometric authentication systems make the procedure user-friendly and secure Password-free biometric authentication Password-free biometric authentication systems make the procedure user-friendly and secure. Such systems usually provide an option of two-step verification when successful password entry is additionally confirmed by biometric recognition. Hence, it is particularly relevant due to the current lockdown in many countries. To sum up, the application of biometric technologies solves several issues of the industry, such as: Optimises and partially automates the work of the security service, as it provides reliable identification and verification of visitors/employees, reduces the amount of time spent on finding a person on video and making a map of his/her movements, without spending hours on watching video archive in case of investigation. Provides a high level of reliability and protection from unauthorised access to the enterprise and the information system. Provides a two-step verification of the user/visitor (including password and biometric data) and almost eliminates the risk of substitution of user data/ID.
As an industry, we often speak in buzzwords. In addition to being catchy and easy to remember, these new and trendy industry terms can also reflect the state of the security market’s technology. In short, the latest buzzwords provide a kind of shorthand description of where the industry is - and where it’s going. We asked this week’s Expert Panel Roundtable: What new buzzword(s) rose to prominence in the security industry in 2020? (And how do they reflect industry trends?)
As a leader, I am a big proponent of using what’s happened in the past — and is currently happening in the present — to better prepare our business and our customers for what’s to come. Applying this mindset in the financial industry is particularly helpful. The emergence of various technologies and trends enables us to determine what we can optimise for the highest efficiency and satisfaction level. The past few years have been focused on the Internet of Things (IoT), data and analytics, and enhancing proactivity to mitigate the increasingly significant threat of fraud and cyber risks. While each of these elements will continue to play an essential role in the industry moving forward, we’re starting to see two common threads that will rise above all in the coming years: collaboration and convergence. When broken down in terms of its relevance for banks and credit unions, we can expect to see these trends in certain areas in the future. Security and customer engagement We’re starting to see two common threads that will rise above all in the coming years: collaboration and convergence There's no overstating the importance and value of one's hard-earned money. When it comes to keeping it safe, consumers demand their relationship with a financial institution is built on one powerful characteristic: trust. Customers must feel confident in placing their funds in someone else's hands, with the comfort and understanding that the institution's primary goal is to meet their needs while safeguarding information at all times. The digital transformation and incorporation of intelligent technology into the banking environment have undoubtedly changed how trust is defined in this industry. As customers become more tech-savvy, their idea of a trustworthy and engaging banking partner begins. We're seeing the necessity of digital services for elevating customer satisfaction, such as mobile banking, chat features, and intelligent virtual assistants, complementing in-person service, and modernising customer engagement. Now that customers are becoming more aware of some of the risks imposed by technology, simplifying and automating programs is more critical for banks than ever before. To address and mitigate customer concerns about data security and privacy, financial organisations must prioritise deploying an integrated, end-to-end solution that considers the vulnerability of the Internet of Things (IoT) and the risks of the cyber world. A security-led strategy But the aspect of security must remain at the centre of this strategy. As both the financial industry and the threats it faces become more complex, the promise of secure housing and management of one of our most sensitive assets is always top-of-mind. Ensuring adequate security, surveillance, and investigative processes are the key for banks to establish superior customer engagement and develop a healthy relationship based on protection. It’s a simple fact: Financial institutions can’t drive exceptional customer service without security having a seat at the table. In general, the customer experience is typically made up of these two elements above all else, and loyal customers place their trust in banks to demonstrate an apparent dedication to understanding how both sides impact one another — which is in more ways than one. Financial institutions can’t drive exceptional customer service without security having a seat at the table As we start to see the physical layouts of branches evolve to become more productive for customer engagement, it’s imperative to ensure that security is considered in these changes. For example, many bank environments are transitioning to be more liberal and free-flowing, which we will all take advantage of after the pandemic is behind us. These new environments could introduce various risks when it comes to employee and asset protection, making it paramount for security to react to this adjustment accordingly from a safety and fraud perspective. Physical security and IT By now, you’re probably more than familiar with the term “convergence.” The evolution of the threat landscape and the significance of risks that today’s banking and financial providers face have made the word top-of-mind. Organisations worldwide demand a more holistic approach to security to ensure they’re consistently protecting consumer data, employees, brand reputation, and infrastructure. Though this type of convergence has already begun to occur, the integration of physical and IT security will only become more critical in the years ahead. The use of advanced networked and cloud-based technologies in financial institutions — primarily through wireless network connections — has led to IT’s increased involvement in security decisions and operations, which is the right path to follow if a bank or credit union wants to ensure its solutions are protected against cyber threats. The collaboration between physical and IT security teams must exist at every level of the process; from procurement to installation to maintenance over time, it’s crucial that IT personnel are involved and asking the right questions. In the future, physical security groups will likely rely on IT professionals to help them solve problems regarding the technical and cyber sides of security solutions. Collaboration is key Whether it's due to the evolving risk landscape financial institutions face or the desire to adhere to customer demands, it’s become clear that collaboration will be the key to success for banks and credit unions in the future. A modernised customer engagement strategy must incorporate a focus on security, and that element of safety must be comprised of both physical and IT components. A modernised customer engagement strategy must incorporate a focus on security But while the traditional definition of convergence may seem simple to understand, we must look beyond these words to determine how exactly the practice can and should be implemented. In a more detailed sense, convergence can be defined as a marrying of cyber and physical security capabilities to form a comprehensive approach to identify potential threats and expand awareness for better event response. This level of “converged collaboration” fuels a unified and cohesive security strategy built with all areas of security in mind and can lead to better incident management and faster response. And with the potential impact of today’s security threats on a bank’s people, property, and brand, this approach is necessary to ensure that no stone is left unturned.
Artificial intelligence is more than just the latest buzzword in the security marketplace. In some cases, smarter computer technologies like AI and machine learning (ML) are helping to transform how security operates. AI is also expanding the industry’s use cases, sometimes even beyond the historic province of the security realm. It turns out that AI is also a timely tool in the middle of a global pandemic. We asked this week’s Expert Panel Roundtable: How is artificial intelligence (AI) changing the security market?
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