IndigoVision CCTV Network / IP Cameras(15)
The launch of the BX600 HD Bullet Camera from IndigoVision creates a new, robust outdoor surveillance option with in-built IR illumination. The camera provides a high-resolution, open-standards offering and is highly effective where there is a requirement for an external camera in areas of minimal night-time ambient light. IP66 rated and ONVIF-conformant, the HD Bullet can be installed externally, without the need to be placed within an additional weather-proof housing, and can tolerate a wide range of conditions from -30°C to 50°C (-22°F to 122°F). The camera requires no additional lighting source, as it has built-in IR illumination delivering maximum image quality in low light. The easy to install HD Bullet enables customers to implement high-quality 1080p HD video while benefiting from IndigoVision’s complete solution. Users can view live and recorded video from the camera within Control Center, the user interface to IndigoVision’s Security Management Solution, SMS4™. The cameras can be located anywhere on the network and streamed to numerous clients without the need for a central server. This distributed architecture enables the solution to be easily expanded and eliminates any single point of failure. Alex Swanson, Head of Engineering, commented “The new IndigoVision HD Bullet provides us with a trusted open-standards HD camera suitable for outdoor and low-light use. Designed to work seamlessly with IndigoVision’s SMS4™, the new addition complements the existing camera range providing customers with more choice and flexibility.” The BX600 HD Bullet Camera is a further expansion to IndigoVision’s 1080p BX camera range, which includes BX400 HD Minidomes and Microdomes.Add to Compare
The IndigoVision IP camera range has been boosted with the launch of the enhanced Standard Definition (SD) camera range, including the 9000 range of Fixed and Fixed Dome Cameras, complimenting the existing IndigoVision High Definition (HD) and Megapixel (MP) camera ranges. Traditionally audio may not have been seen as a priority in the CCTV sector and as a result most IP cameras use outdated audio encoding technologies such as G.711 and G.728 compression. These technologies deliver poor quality audio, especially when picking up sounds other than the human voice, such as breaking glass. However, a new breed of security professionals in the industry are taking a different approach to audio, demanding high quality audio in their CCTV projects. "People often think of audio in the security industry as being a niche application.” stated Alex Swanson, IndigoVision’s Head of Engineering. “Before, most applications for audio were in a police custody type environment but we’re seeing rising CCTV markets, such as Australia and Brazil, using audio more creatively. We’ve had a number of cities in Latin America using the IndigoVision solution as part of “help points” located around the city, where citizens can simply press a button to have instant two-way communication with the central monitoring location. Because the audio in our cameras use Advanced Audio Coding (AAC), it means that you can hear much more than the human voice - gunshots, breaking glass or even footsteps. By adding this functionality into more of our IP cameras, it means we’re now meeting the demands of these markets and making it even easier for remote viewing and communication."In addition to audio, the IndigoVision SD camera range has had significant video performance improvements resulting in further enhanced video quality and significant storage cost reduction.Add to Compare
IndigoVision is launching a professional range of High-Definition (HD) IP CCTV cameras to worldwide markets at a number of forthcoming international security shows. The HD 10000 series will complement the company's existing 8000 and 9000 range of True IP Cameras and are designed to work with the IndigoVision integrated end-to-end IP Video solution. Using outstanding H.264 compression technology, an HD 10000 series IP camera will allow high-definition video to be streamed at 15 fps and recorded for 50 days using just 1TB of storage. Updated versions of the HD 10000 range, which allow video streaming at a full 30 fps, will be released shortly. This exceptional compression enables IndigoVision's HD solution to be used on standard networks and storage, bringing the benefits of high-definition video to everyday CCTV surveillance applications. The unique hardware-based compression engine of the HD 10000 series guarantees frames are never dropped. The HD IP cameras can be used alongside IndigoVision's current 4SIF resolution IP cameras, which use MPEG-4 and H.264 compression. This will provide the end-user with a truly flexible solution and a wide spectrum of IP camera price/performance from which to choose.HD versions of all the company's current IP camera range will be rolled-out shortly. These include internal, external and IP66 vandal resistant variants of the fixed and PTZ domes and internal static cameras. Power-over-Ethernet support allows the cameras to be powered directly from the network, simplifying installation and reducing costs. Options include full duplex audio and a range of different housings and fixings for wall or ceiling mounting.Add to Compare
1/3 inch, 720 resolution, 0.9 lux, Auto Iris, Direct Drive, 24V AC//DC, Network, Motion Activated, 2.8 ~ 8, ceiling, wall, Wide Dynamic Range, 30 fps, Back Light Compensation, Auto Gain Control, White Balance, 0.45, 1/1 ~ 1/10,000, 45, Internal, NTSC, PAL, H.264, 11W, 500, 175 x 88 x 45, 0 ~ +40Add to Compare
1/3 inch, True Day / Night, 5 MP resolution, Digital (DSP), 0.02 lux, Auto Iris, Direct Drive, 12 V DC, Megapixel, CS mount, Motion Activated, 3.5 ~ 10, Wide Dynamic Range, 2592 x 1944, 25 fps, Inclusion DVR/ Web Server, Back Light Compensation, Auto Gain Control, White Balance, 1 ~ 1/10000 sec, > 37, PAL, PAL composite video, 75 Ohms 1V p-p, BNC connector, H.264, MJPEG, 10/100 Base-T Ethernet, TCP, UDP, RTP, RTSP, ICMP, IGMP, SNMP, HTTP, HTTPS, PPPoE, uPnP, QoS, DHCP, SMS4™ r7/Control Center v11.0 or later, 6 W, 330, 125 x 82 x 53, 0 ~ 50 C (32 ~ 122 F)Add to Compare
1/3 inch, True Day / Night, 5 MP resolution, Digital (DSP), 0.02 lux, Auto Iris, Direct Drive, 12 V DC, 24 V AC, Megapixel, Motion Activated, 3.6 ~ 9, Wide Dynamic Range, 2592 x 1944, 25 fps, Inclusion DVR/ Web Server, Back Light Compensation, Auto Gain Control, White Balance, 1 ~ 1/10000 sec, > 37, PAL, Zoom, PAL composite video, 75 Ohms 1V p-p, BNC cable harness, H.264, MJPEG, 10/100 Base-T Ethernet, TCP, UDP, RTP, RTSP, ICMP, IGMP, SNMP, HTTP, HTTPS, PPPoE, uPnP, QoS, DHCP, SMS4™ r7/Control Center v11.0 or later, 5.5 W, 940, 88 x 193 , IP66, 0 ~ 50 C (32 ~ 122 F)Add to Compare
1/3 inch, True Day / Night, 2 MP resolution, Digital (DSP), 0.02 lux, Auto Iris, Direct Drive, 12 V DC, 24 V AC, Megapixel, Motion Activated, 4.7 ~ 84.6, Wide Dynamic Range, 1920 x 1080, 25 fps, Inclusion DVR/ Web Server, Back Light Compensation, Auto Gain Control, White Balance, 1 ~ 1/10000 sec, > 50, PAL, Zoom, PAL composite video, 75 Ohms 1V p-p, BNC connector, H.264, MJPEG, 10/100 Base-T Ethernet, TCP, UDP, RTP, RTSP, ICMP, IGMP, SNMP, HTTP, HTTPS, PPPoE, uPnP, QoS, DHCP, SMS4™ r5/Control Center v11.0 or later, 6 W, 360, 200 x 81 x 53, 0 ~ 50 C (32 ~ 122 F), HDAdd to Compare
1/3 inch, True Day / Night, 2 MP resolution, Digital (DSP), 0.02 lux, Auto Iris, Direct Drive, 12 V DC, 24 V AC, Megapixel, Motion Activated, 3 ~ 9, Wide Dynamic Range, 1920 x 1080, 25 fps, Inclusion DVR/ Web Server, Back Light Compensation, Auto Gain Control, White Balance, 1 ~ 1/10000 sec, > 50, PAL, Zoom, PAL composite video, 75 Ohms 1V p-p, BNC connector, H.264/MJPEG, 10/100 Base-T Ethernet, TCP, UDP, RTP, RTSP, ICMP, IGMP, SNMP, HTTP, HTTPS, PPPoE, uPnP, QoS, DHCP, SMS4™ r5/Control Center v11.0 or later, 6 W, 360, 177 x 80 x 53, 0 ~ 50 C (32 ~ 122 F), HDAdd to Compare
1/3 inch, True Day / Night, 1 MP resolution, Digital (DSP), 0.035 lux, Auto Iris, Direct Drive, 24 V DC, Megapixel, CS mount, Motion Activated, 12.5 ~ 50, Wide Dynamic Range, 1280 x 720, 25 fps, Back Light Compensation, Auto Gain Control, White Balance, 1/2 ~ 1/100,000, > 39, PAL, H.264, 10/100 Base-T Ethernet, TCP, UDP, RDP, ICMP, IGMP, SNMP, HTTP, HTTPS, SMS4™ r1/Control Center v11.0 or late, 6 W, 500, 178 x 88 x 47, 0 ~ 50 C (32 ~ 122 F), HDAdd to Compare
1/3 inch, True Day / Night, 1 MP resolution, Digital (DSP), 0.035 lux, Auto Iris, Direct Drive, 24 V DC, Megapixel, CS mount, Motion Activated, 3.1 ~ 8, Wide Dynamic Range, 1280 x 720, 25 fps, Back Light Compensation, Auto Gain Control, White Balance, 1/2 ~ 1/100,000, > 39, PAL, H.264, 10/100 Base-T Ethernet, TCP, UDP, RDP, ICMP, IGMP, SNMP, HTTP, HTTPS, SMS4™ r1/Control Center v11.0 or later, 6 W, 500, 178 x 88 x 47, 0 ~ 50 C (32 ~ 122 F), HDAdd to Compare
1/4 inch, Colour / Monochrome, 540 resolution, 0.05 lux, Auto Iris, Direct Drive, 24V AC/DC, Infrared, CS mount, 5 ~ 50, Wall, Ceiling, 752 x 582, 25/30 fps, Back Light Compensation, Auto Gain Control, White Balance, 0.45, 1/50 ~ 1/100,000, Internal, PAL, NTSC, 1 Vp-p, 75 Ohms, MPEG-4, H.264, 10/100 Base-T Etherne, TCP, UDP, ICMP, IGMP, SNMP, HTTP, 8 W, 500, 175 x 88 x 45, 0 ~ 40Add to Compare
1/3 inch, True Day / Night, 5 MP resolution, Digital (DSP), 0.02 lux, Auto Iris, Direct Drive, 12 V DC, Megapixel, CS mount, Motion Activated, 9 ~ 40, Wide Dynamic Range, 2592 x 1944, 25 fps, Inclusion DVR/ Web Server, Back Light Compensation, Auto Gain Control, White Balance, 1 ~ 1/10000 sec, > 37, PAL, PAL composite video, 75 Ohms 1V p-p, BNC connector, H.264, MJPEG, 10/100 Base-T Ethernet, TCP, UDP, RTP, RTSP, ICMP, IGMP, SNMP, HTTP, HTTPS, PPPoE, uPnP, QoS, DHCP, SMS4™ r7/Control Center v11.0 or later, 6 W, 330, 125 x 82 x 53, 0 ~ 50 C (32 ~ 122 F)Add to Compare
Colour, 20 MP resolution, Digital (DSP), 0.01 lux, 100 ~ 240 V AC, Megapixel, Motion Activated, Wall, 5120 x 3840, 25 fps, Auto Gain Control, White Balance, H.264, 10/100 Base-T Ethernet, TCP, UDP, ICMP, HTTP, DHCP, Control Center v11.1 or later, 1.4 A, 10,900, 736 x 280 x 246, IP67, -20 ~ +50 C (-4 ~ +122 F)Add to Compare
Colour, 20 MP resolution, Digital (DSP), 0.01 lux, 12 V DC, Megapixel, Motion Activated, 5120 x 3840, 25 fps, Auto Gain Control, White Balance, H.264, 10/100 Base-T Ethernet, TCP, UDP, ICMP, HTTP, DHCP, Control Center v11.1 or later, 2.1 A, 1,700, 96 x 117 x 105, 0 ~ 50 C (32 ~ 122 F)Add to Compare
1/3 inch, Colour / Monochrome, 2 lux, Auto Iris, Direct Drive, 24 V AC/DC, CS mount, 5 ~ 50, Wall, Ceiling, Back Light Compensation, Auto Gain Control, White Balance, 0.45, 1/12.5 ~ 1/100,000, >45, Internal, PAL, NTSC, MPEG-4, 10/100 Base-T Ethernet, TCP, UDP, ICMP, IGMP, SNMP, HTTP, 8 W, 500, 175 x 88 x 45, 0 ~ 40Add to Compare
Browse CCTV Network / IP Cameras
IP camera products updated recently
Rodrigue Zbinden, CEO at Morphean, discusses the business benefits from merging video surveillance and access control technologies as demand for ACaaS grows. The big question facing businesses today is how they will use the data that they possess to unlock new forms of value using emerging technologies such as the cloud, predictive analytics and artificial intelligence. Some data is better utilised than others: financial services were quick to recognise the competitive advantages in exploiting technology to improve customer service, detect fraud and improve risk assessment. In the world of physical security, however, we’re only just beginning to understand the potential of the data that our systems gather as a part of their core function. Benefits of ‘Integrated access control’ The first thing to look for is how multiple sources of data can be used to improve physical security functionsWhat many businesses have yet to realise is that many emerging technologies come into their own when used across multiple sources of data. In physical security, for example, we’re moving from discussions about access control and CCTV as siloed functions, to platforms that combine information for analysis from any source, and applying machine learning algorithms to deliver intelligent insights back to the business. ‘Integrated access control’ then looks not just to images or building management, but to images, building management, HR databases and calendar information, all at the same time. And some of the benefits are only now starting to become clear. The first thing to look for, of course, is how multiple sources of data can be used to improve physical security functions. For example, by combining traditional access control data, such as when a swipe card is used, with a video processing platform capable of facial recognition, a second factor of authentication is provided without the need to install separate biometric sensors. CCTV cameras are already deployed in most sensitive areas, so if a card doesn’t match the user based on HR records, staff can be quickly alerted. Making the tools cost-effective In a similar vein, if an access card is used by an employee, who is supposed to be on holiday according to the HR record, then video data can be used to ensure the individual’s identity and that the card has not been stolen – all before a human operator becomes involved. This is driving growth in ‘access control as a service’ (ACaaS), and the end-to-end digitalisation of a vital business functionThese capabilities are not new. What is, however, is the way in which cloud-based computing platforms for security analytics, which absorb information from IP-connected cameras, make the tools much more cost effective, accessible and easier to manage than traditional on-site server applications. In turn, this is driving growth in ‘access control as a service’ (ACaaS), and the end-to-end digitalisation of a vital business function. With this system set up, only access control hardware systems are deployed on premise while the software and access control data are shifted to a remote location and provided as a service to users on a recurring monthly subscription. The benefits of such an arrangement are numerous but include avoiding large capital investments, greater flexibility to scale up and down, and shifting the onus of cybersecurity and firmware updates to the vendor. Simple installation and removal of endpoints What’s more, because modern video and access control systems transmit data via the IP network, installation and removal of endpoints are simple, requiring nothing more than PoE and Wi-Fi. Of all the advantages of the ‘as a service’ model, it’s the rich data acquired from ACaaS that makes it so valuable, and capable of delivering business benefits beyond physical security. Managers are constantly looking for better quality of information to inform decision making, and integrated access control systems know more about operations than you might think. Integrating lighting systems with video feeds and access control creates the ability to control the lightsRight now, many firms are experimenting with ways to find efficiencies and reduce costs. For example, lights that automatically turn off to save energy are common in offices today, but can be a distraction if employees have to constantly move around to trigger motion detectors. Integrating lighting systems with video feeds and access control creates the ability to control the lights depending on exactly who is in the room and where they are sitting. Tracking the movement of employees Camera data has been used in retail to track the movement of customers in stores, helping managers to optimise displays and position stocks. The same technology can be used to map out how employees move around a workspace, finding out where productivity gains can be made by moving furniture around or how many desks should be provisioned. Other potential uses of the same data could be to look for correlations between staff movement – say to a store room – and sales spikes, to better predict stock ordering. What makes ACaaS truly exciting is it is still a very new field, and we’re only just scratching the surface of the number of ways that it can be used to create new sources of value. As smart buildings and smart city technology evolves, more and more open systems will become available, offering more ways to combine, analyse and draw insights from data. Within a few years, it will become the rule, rather than the exception, and only grow in utility as it does.
With the recent news headlines about store closures and the collapse of well-known chains, alongside clear adjustments in business strategy amongst established high street favourites, there is no denying that the UK retail industry is under huge pressure. A recent report suggests growing issues are leading some retailers to increase risk-taking in the supply chain. But here, Steve Bumphrey, Traka UK Sales Director, looks at ways to help retailers embrace the storm, including paying attention to security, management processes and efficient customer focus. Challenges plaguing retail industry It’s been an awful year to date for UK retail if you believe the cacophony of negative headlines about the health of the UK economy and the confidence levels of the UK consumer. The sector is facing huge challenges in dealing with the evolution in on-line and smart mobile retailing The sector is undoubtedly facing huge challenges in dealing with the evolution in on-line and smart mobile retailing. Further concerns include an unwillingness of policymakers to address the changing retail environment and how business rates and general business taxation and regulation is making a difficult situation worse. Supply Chain Risk Report According to the latest Global Supply Chain Risk Report, published by Cranfield School of Management and Dan & Badstreet, those under pressure, are now facing increased exposure to risk if they are forced to cut costs in their supply chain. The report cites data for the retail sector that shows increased levels of risk-taking since Q4 2018, with retailers reporting high levels of dependency on suppliers and indicating a propensity to off-shore to low-cost, high-risk countries where suppliers are more likely to be financially unstable. In-store technology revolution The underlying evolution of technology taking hold of the retail industry and consequential changing consumer behaviour is what is really forcing the industry to step up and act. This is not only in the shift to online and smart mobile purchases, but also with the increased use of technology in store. Self-scanning and checkouts In a bid to enhance the physical shop experience, especially in supermarket outlets across the UK, retailers are increasingly giving customers autonomy with self-scanners and checkouts and need to be able to trust them to ensure an honest transaction. And for the shoppers, this dependency on technology and not human interaction to complete a shop means scanners must be instantly available and ready for use. Many different underlying competing challenges impact the retail industry Compensators At the recent British Retail Consortium’s ‘Charting the Future’ conference, looking at retail crime and security, Dr Emmeline Taylor, a criminologist at the City University of London identified in self -service shops, several new types of ‘offenders’ such as so-called ‘compensators’ including the atypical ‘frustrated consumer’ who, “fully intended to pay but were unable to scan an item properly”, adding to the security challenge. There are clearly many different underlying competing challenges impacting the retail industry. Arguably, the increase in technology and autonomous shopping, where less staff are present (or staff cuts planned) throws up more vulnerabilities, such as the opportunity for store theft. Use of body cameras Staff needs emerging technology such as body cameras to act as a deterrent to crime and keep employees safe Furthermore, staff may need greater use of emerging technology such as body cameras to act as a deterrent to crime and help keep employees safe. In essence, prevention is better than cure, and it’s certainly cheaper. Whether combating crime physically or online, or looking to find ways to counter the high street trends, working together, sharing information and taking a more holistic approach will help the development of a shared language between retailers. Retail banking It is also here where common approaches can help to deliver on efficiencies, in time, resource and budget that can serve to operate right through the supply chain, and minimise, or even negate the need to take any risks. It can even serve to enhance the customer experience, increasing confidence in the shopping environment. Of course, when discussing the high street, it is not just the department stores and chains that are feeling the impact. Well known banks are also having to redefine their priorities and role on the high street, with customers (especially younger generations) demanding a more efficient service than ever before. Well known banks are also having to redefine their priorities and role on the high street Asset protection Leading the way is Nationwide, globally renowned building society, which prides itself on being one of the largest savings providers and mortgages provider in the UK, promoting itself as running purely for the benefit of its customers, or ‘members.’ Richard Newland, Director of Branch & Workplace Transformation at Nationwide said, “Even more than getting a good ‘deal’ from a building society, the quality of our welcome, or our renowned level of service, we make sure our members feel safe with us, enough to trust us with their greatest assets. We are doing everything we can to evolve our business and focus our efforts on providing the best and most secure services that people value.” Key management systems Traka has supported Nationwide with the introduction of dedicated key management systems So committed to its branch network, it has pledged to its 15 million members that every town and city with a Nationwide branch, will still have one for at least the next two years. A bold statement in today’s climate. Traka has supported Nationwide with the introduction of dedicated key management systems, moving its branch network into a more digital system. Keys no longer need to leave site and the audit trail capability has helped to remove the manual paper recording, allowing status of keys to be established instantly, at any time. Changes in retail market This example, together with Traka’s portfolio of high street brands and globally renowned department stores that cannot be named for security reasons, demonstrates the need for retailers to embrace the need for change, both from a product offering and operational running perspective to achieve aspirations of resonating with customers. They also prove the opportunities for success, in an unquestionable difficult market environment. If retailers can listen to customers and respond accordingly, taking into consideration staff safety and security, alongside an ability to respond quickly to personalised enquiries and expectations. This way, perhaps, the current environment can be seen as an opportunity to innovate and embrace technology to form the high street of the future.
Where are video surveillance cameras headed? At the core of next-generation Internet Protocol (IP) cameras are advanced chips with artificial intelligence (AI) at the edge, enabling cameras to gather valuable information about an incident: scanning shoppers at a department store, monitoring city streets, or checking on an elderly loved one at home. Thanks to advanced chip technology, complex analytics operations are becoming more affordable across the full spectrum of surveillance cameras —professional to consumer — fueling the democratisation of AI in the IP camera market. Complex analytics operations are becoming more affordable across the full spectrum of surveillance cameras Expanding the global IP camera market The video surveillance equipment market grew to $18.5 billion in 2018 and is expected to increase this year, according to IHS Markit. The latest research points to video everywhere, edge computing, and AI as the top technologies that will have a major impact in both commercial and consumer markets in 2019. Computing at the edge means that the processors inside the camera are powerful enough to run AI processing locally, while still encoding and streaming video, and are able to do it all at the low-power required to fit into the limited thermal budget of an IP camera. New SoC chips will be able to perform all of the processing on camera and provide accurate AI information, with no need to send data to a server or the cloud for processing. Instead, data can be analysed right in the camera itself, offering high performance, real-time video analytics, and lower latency — all critical aspects of video surveillance. This new AI paradigm is made possible by a new generation of SoCs, a key driver behind the market growth of IP cameras. Complex analytics operations are becoming more affordable across the full spectrum of surveillance cameras to fuel the advent of AI in the IP camera market Micro-processor-enabled video analytics Next-generation video cameras will be able to create heat maps of stores to see where people spend the most time Microprocessor-enabled analytics allow users to more easily extract valuable data from video streams. How about an insider’s view into retail customer behavior? Consider video cameras at a department store, monitoring shoppers’ behavior, traffic patterns, and areas of interest. Next-generation cameras will recognise how long a shopper stays in front of a specific display, if the shopper leaves and returns, and if the shopper ultimately makes a purchase. Next-generation video cameras will be able to create heat maps of stores to see where people spend the most time, so retailers will be able to adjust product placement accordingly. Analytics will also help identify busy/quiet times of the day, so retailers can staff accordingly. By understanding customers’ behavior, retailers can determine the best way to interact with them, target specific campaigns, and tailor ads for them. Cue the coupons while the shopper is still onsite! Analytics will also help identify busy/quiet times of the day, so retailers can staff accordingly Fast processing for rapid response at city level City surveillance and smart cities are depending on advanced video surveillance and intelligence to keep an eye on people and vehicles, identify criminals, flag suspicious behavior, and identify potentially dangerous situations such as loitering, big crowds forming, or cars driving the wrong way.Quick local decisions on the video cameras are also used to help analyse traffic situations Quick local decisions on the video cameras are also used to help analyse traffic situations, adjust traffic lights, identify license plates, automatically charge cars for parking, find a missing car across a city, or create live and accurate traffic maps. Real-time HD video monitoring and recording When it comes to home monitoring, what will next-generation video surveillance cameras offer? Real-time monitoring and notification can detect if a person is in the back yard or approaching the door, if there’s a suspicious vehicle in the driveway, or if a package is being delivered (or stolen). Advanced video cameras can determine when notifications are and aren’t required, since users don’t want to be notified for false alerts such as rain, tree branches moving, bugs, etc. Next-generation video camera capabilities can also help monitor a loved one, person or pet, helping put families at ease if they are at work or on vacation. For example, helpful analytics may be used to detect if someone has fallen, hasn’t moved for a while, or does not appear for breakfast according to their typical schedule. City surveillance and smart cities are depending on advanced video surveillance and intelligence to keep an eye on people and vehicles, identify criminals, flag suspicious behavior, and identify potentially dangerous situations Next-gen IP cameras When evaluating next-generation IP cameras (cameras on the edge), look at the brains. These cameras will likely be powered by next-generation SoCs chips. Here is what this means to you: Save on network bandwidth, cloud computing and storage costs. There is no need to constantly upload videos to a server for analysis. Analysis can be performed locally on the camera, with only relevant videos being uploaded. Faster reaction time. Decisions are made locally, with no network latency. This is critical if you need to sound an alarm on a specific event. Privacy. In the most extreme cases, no video needs to leave the camera. Only metadata needs to be sent to the cloud or server. For example, the faces of people can be recognised in the camera and acted upon, but the video never reaches the cloud. The cameras can just stream a description of the scene to the server “suspicious person with a red sweater walking in front of the train station, has been loitering for the last 10 minutes, suggest sending an agent to check it out.” This could become a requirement in some EU countries with GDPR rules. Easier search. Instead of having to look through hours of video content, the server can just store/analyse the metadata, and easily perform searches such as “find all people with a red sweater who stayed more than five minutes in front of the train station today.” Flexibility/personalisation. Each camera at the edge can be personalised to work better for the specific scene it is looking at, compared to a generic server. For example, “run a heat map algorithm on camera A (retail) as I want to know which sections of my store get the most traffic; and run a license plate recogniser on camera B (parking lot) as I want to be able to track the cars going in/out of my parking lot.” No cloud computing required. For cameras in remote locations or with limited network bandwidth, users have the ability to perform all analytics locally, without relying on uploading video to a server/cloud. Higher resolution/quality. When AI processing is performed locally, the full resolution of the sensor can be used (up to 4K or more), while typically the video streamed to a server will be lower resolution, 1080p or less. This means more pixels are available locally for the AI engine so that you will be able to detect a face from a higher distance than when the video is streamed off camera. AI at the edge Professional-level IP cameras capable of performing AI at the edge are coming soon with early offerings making their debut at this year’s ISC West. As we enter 2020, we will begin to see the availability of consumer-level cameras enabling real-time video analytics at the edge for home use. With rapid technology advancement and increased customer demand, AI is on the verge of exploding. When it comes to image quality and video analytics, IP cameras now in development will create a next-generation impact at department stores, above city streets, and keeping an eye on our loved ones.
Faced with a number of security challenges and planned future expansion, a major airport decided it was time to implement a scalable security surveillance solution. Let’s take a look at how to manage such a scenario to ensure the selected solution provides scalability for growth. With the existing proprietary solution at the airport locked down to one manufacturer and littered with issues resulting in high maintenance and expansion costs, a new solution was required that would allow the airport to scale its surveillance solution in line with future expansion plans. Difficult in identifying people The low-resolution analogue cameras made it difficult to identify people during incidents Not only was the existing surveillance solution analogue and proprietary, it wasn’t intuitive and was difficult for operators to use. There were several ‘satellite’ security installations scattered in the various terminal buildings that weren’t viewable in the centralised Control Room which meant extra operators were required. The low-resolution analogue cameras made it difficult to identify people during incidents and coupled with the lack of video coverage, it gave operators poor situational awareness. Reviewing past events with the existing VMS was difficult as playback wasn’t synchronised and, without bookmarks, it was time-consuming to find important events. The combination of multiple terminal buildings and the Centralised Analogue Architecture resulted in bottlenecks and latency issues as all processing must pass through the centralised server. There was also no redundancy so if there was any failure in the system, the Control Room would no longer have the capability to view live or recorded video. Additionally, as the system was locked down to one manufacturer and the whole system had to be hardwired to the centralised server, there were very expensive expansion costs. Addressing security and scalability concerns New NVRs were specified to cope with the increase in camera streams and an extra NVR for redundancy and failoverThe required solution had multiple requirements to ensure that the existing issues were resolved and that the solution could scale with the planned expansion. With expansion planned to facilitate growing passenger numbers, an open IP based solution was specified to replace the existing analogue solution to improve situational awareness, provide scalability and integrate with a number of other systems operating in the airport. The architecture needed to limit bottlenecks, reduce latency issues, provide redundancy advantages and be scalable to allow for multiple new terminal buildings to be connected with ease. New HD cameras were specified to improve image quality and coverage, with a Video Wall required in order to view and manage the increase in video streams in the centralised Control Room. New large capacity NVRs were also specified to cope with the increase in camera streams and an extra NVR for redundancy and failover. Distributed Architecture reduces data bottlenecks A solution with Distributed Architecture was chosen as it solved multiple issues with the existing solution and facilitated future expansion without the need for a centralised server. Distributed Architecture allows data to be kept close to where it is produced or needed. When cameras, surveillance workstations, NVRs, alarm servers, integration gateways, all participate in a Distributed Architecture, data bottlenecks are minimised as all processing doesn’t need to pass through a centralised server. Distributed Architecture provides a truly unlimited and scalable solution that can easily accommodate the largest airports in the world. Enhancing situational awareness Distributed Architecture enables future expansion as it can support thousands of cameras, workstations and NVRsDistributed Architecture minimised the existing bottlenecks, reduced latency, and provided higher availability and faster access to data. It also allowed all ‘satellite’ security installations to be viewed in the centralised Control Room enhancing situational awareness. New HD cameras were installed and due to the scalability of Distributed Architecture, future cameras can easily be connected when needed. Furthermore, the scalability of Distributed Architecture enabled the airport to build new terminal buildings and connect with ease to the security solution when ready. Distributed Architecture enables planned future expansion as it can support thousands of cameras, workstations and NVRs, dramatically reducing the Total Cost of Ownership (TCO). The scalability of Distributed Architecture allows the airport to continue with planned expansion and add a single camera/NVR or a whole new terminal when needed.
Edge devices (and edge computing) are the future. Although, this does seem a little cliché, it is the truth. The edge computing industry is growing as quickly as technology can support it and it looks like we will need it to. IoT global market The IoT (Internet of Things) industry alone will have put 15 billion new IoT devices into operation by the year 2020 according to a recent Forbes article titled, “10 Charts That Will Challenge Your Perspective of IoT’s growth”. IoT devices are not the only edge devices we have to deal with as the total number of connected edge devices includes the likes of devices like security devices, phones, sensors, retail sales devices, and industrial and home automation devices. The IoT (Internet of Things) industry alone will have put 15 billion new IoT devices into operation by the year 2020 The sheer number of devices begins to bring thoughts of possible security and bandwidth implications into perspective. The amount of data that will need to be passed and processed with all of these devices will be massive. There needs to be consideration taken by all business owners and automation engineers into how this amount of data and processing will be conducted. Ever-expanding edge devices market As the number of edge devices in the marketplace and their use among consumers and businesses rises, the need to be able to handle the data from all of these devices is no longer going to be suitable for central server architectures. We are talking about hundreds of billions and even trillions of devices. According to IHS Markit researchers’ study, there were 245 million CCTV cameras worldwide. One has to imagine there are at least 25% of that many access control devices (61.25 million devices) based on a $344 million market cap also calculated by IHS Markit’s researchers. If all the other edge devices mentioned earlier are considered then one can see that trying to route them all through servers for processing is going to start to become difficult if it hasn’t already, -which arguably it already has, as is evidenced by the popularity of cloud-based solutions amongst those businesses that already use a lot of edge devices or are processing a lot of information on a constant basis. Cloud computing The question is whether cloud computing the most effective and efficient solution as the IoT industry grows The question is this; is cloud computing the most effective and efficient solution as the IoT industry grows and the amount of edge devices becomes so numerous? My belief is that it is not. Taking the example of a $399 USD device that is just larger than the size of a pack of cards and runs a CPU benchmarked at the same level as a mid-size desktop. This device has 8GB RAM and 64GB EMMC built-in and a GPU that can comfortably support a 4K signal at 60Hz with support for NVMe SSDs for add-on storage. This would have been unbelievable five years ago. As the price of edge computing goes down, which it has done in a dramatic way over the last 10 years (as can be seen with my recent purchase), the price to maintain a central server that can perform the processing required for all of the new devices being introduced to the world (due to the low cost of entry for edge device manufacturers) becomes more expensive. This introduces the guarantee that there will be a point where it will be less expensive for businesses, and consumers alike, to do the bulk of their processing at the edge as opposed to in central server architectures. Cloud computing is now being overtaken by edge computing, the method of processing data at the edge of the network in the devices themselves Edge computing There are a plethora of articles discussing and detailing the opposition between the two sides of the computing technology coin, cloud computing and edge computing. The gist of it is that “cloud computing” was the hot new buzzword three years ago and is now being overtaken by “edge computing.” The truth is that cloud computing is a central server architecture hosted at someone else’s location. Edge computing is going to be a necessary development in the technology industry Edge computing is the method of processing data at the edge of the network (in the devices themselves) and allowing for less resources required at a central location. There is certainly a use case for both, however the shift to edge computing amongst the general public and small to mid-sized businesses will not be a surprise to those players, who have been paying attention. One article titled, “Next Big Thing In Cloud Computing Puts Amazon And Its Peers On The Edge” by Investor’s Business Daily takes the stance that edge computing is going to completely displace centralised cloud computing and even coins the phrase, “Cloud computing, decentralised” to explain edge computing. It speaks for the stance that most experts in technology seem to be taking, including Amazon Web Services’ VP of Technology, Marco Argenti according to the same article. We know that edge computing is going to be a necessary development in the technology industry, and it is happening as I write this, and quickly at that. Cost efficiency of edge processing As time goes on, the intersection between the prices of network bandwidth, edge processing and maintaining super powerful central servers will cause edge processing to be the most efficient and cost-effective way to maintain a scalable network in any environment, including datacenters. Owning a central server or utilising edge computing become the better options As it currently stands, most residential users can only achieve a 1Gbps WAN (internet) connection, and small to medium-sized business can’t get much more but seem to get much less, based on my personal experience. When more than 1Gbps needs to be processed, cloud computing becomes very expensive at which point, owning a central server or utilising edge computing become the better options. Then you look a total cost of ownership and when the cost of edge computing is less expensive than the cost of maintaining central server architectures, edge computing becomes the single best option. So, I’ll say it again, edge devices (and edge computing) are the future.
Customers of IndigoVision will now be able to access advanced facial recognition technology following the announcement of a new partnership with AnyVision. The new partnership will see AnyVision’s renowned Better Tomorrow software being integrated with IndigoVision’s Control Center, its innovative security management solution. Trusted by customers around the world for over 25 years, IndigoVision is committed to keeping customers at the forefront of security innovations and the new integration with Tel Aviv-based AnyVision is a powerful new addition to its portfolio of cutting-edge solutions. The new integration will see data records from AnyVision’s facial recognition functionality being seamlessly sent into Control Center, enabling the fast and accurate identification of missing or wanted persons, even in large crowds. AI-based person recognition software Pedro Simoes, Chief Executive of IndigoVision, said: “Our goal is to help our customers utilise and enjoy the benefits of the very latest security innovations and so we’re delighted to be working with AnyVision which is at the forefront of self-learning AI-based person recognition software. “Ideal for government, police, casino and airport sites, their facial recognition software overcomes challenges around poor light conditions and different angles of view to deliver incredible accuracy and detection rates for our customers.” “IndigoVision and AnyVision share a partnership built on true innovation in the security sector,” said Eylon Etshtein, CEO of AnyVision. “We value both their position and reputation in the marketplace and look forward to creating solutions that will bring about a better tomorrow.”
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