IndigoVision CCTV Software(7)
IndigoVision, the leading manufacturer of complete end-to-end IP security solutions, has released Video Wall software that allows professional fully-featured IP-CCTV control room video walls to be built to any size, at a fraction of the cost of other dedicated display products.Based on ‘Control Center', the company's Security Management Software, video walls can be constructed with complete scalability using any PC monitor type (CRT, LCD and plasma), with standard or High Definition wide-screen format. The video wall is driven using slave ‘Control Center' workstations, each of which manages up to 4 monitors. Up to 98 slaves can be controlled over the IP network from an unlimited number of master ‘Control Center' workstations. Each monitor can display up to 25 video panes, allowing video walls with up to 9,800 panes to be constructed.IP Video Wall - IndigoVision complete IP video Ssecurity solutions demoOn large sites multiple video walls can be deployed in different control rooms, all accessing the same video from any camera or Network Video Recorder (NVR), no matter where they are located. This can only be achieved because IndigoVision's architecture is completely distributed.Monitors within the video wall can be used to display a variety of information, including live or recorded video, guard tours, salvos, site maps and alarm status. In addition, information from third-party applications can be displayed, such as the status of access control or building management systems. The video wall is controlled using standard CCTV keyboards connected to any of the master workstations.The video wall supports the ‘Control Center' black screen monitoring mode, where video is only displayed on alarm. This method of operation is recognised as providing a more efficient operator environment that leads to quicker incident response. Using IndigoVision's advanced alarm management features, content and layout of individual monitors in the video wall can be controlled dynamically from the status of alarms and events.Add to Compare
IndigoVision, leading manufacturer of IP video security solutions, has established itself as one of the most open surveillance systems on the market with the latest release of its SMS4™ software. SMS4™ release 5 includes Camera Gateway™, which allows IP cameras from top manufacturers to be integrated into the IndigoVision SMS4™ system, making it easy to upgrade a client’s existing IP-CCTV system to a quality IndigoVision solution. Camera Gateway™ enables cameras from a range of other manufacturers to be connected to an IndigoVision SMS4™ system using their native protocols and enables users to view the cameras in IndigoVision’s Control Center. The cameras can be controlled, viewed and recorded in the same way as IndigoVision cameras. Camera Gateway™ also supports PTZ control, bookmarking and record-on-motion. Camera Gateway™ is a software service that can be installed on a Windows based server, giving customers total flexibility. The service enables multiple clients to stream and view video from the same camera. Marcus Kneen, IndigoVision CEO, stated: “Camera Gateway™ is a game-changing product making IndigoVision SMS4™ the open system of choice. Combined with our conformance to the ONVIF standard, and our integration with other software, SMS4™ release 5 establishes IndigoVision as one of the most open IP security solutions on the market.” SMS4™release 5 also includes record-on-motion and bookmarking for IndigoVision’s own cameras and those of supported manufacturers. Record-on-motion allows users to reduce storage by configuring the system to record video only when there is activity, while bookmarking video footage makes it easier to find and review key evidence. Users can upgrade to SMS4™ release 5 through IndigoVision’s Software Upgrade Program (SUP).Add to Compare
IndigoVision recently released new software to coordinate responses between agencies and operatives with pervasive real time video. The system automatically validates incoming data to verify critical events, escalating video for management of the situation to personnel in other locations and ensuring an appropriate response. Operatives are provided with both real time and recorded video, giving them the ‘eyes and ears everywhere' to optimally assess the situation. IndigoVision's SMS4 release 3 starts with the qualification of incoming data to filter out false alerts so personnel can focus on likely threats. The system also lets you embed prior intelligence by noting the sequence and combination of events that may constitute a situation. Qualified alerts that are not assessed within a certain time period are then automatically passed along a chain of operators, accompanied by real time contextual video, to guarantee a swift response. Events that are identified as priority get automatically escalated to higher levels of authority and/or agencies in other locations. SMS4 release 3 also supports the automatic expansion of the 'threat zone' if the initial situation is not handled within a certain time. For example, if a perimeter breach is not addressed quickly, then nearby buildings are automatically placed into alert. The new analytics added to this latest release allow operators to filter situational data by location, zone or incident criteria to better understand how events unfolded. Automatic scheduling of actions based upon time of day and other criteria can also be developed into ‘routine scenarios', which will receive an automated but intelligent response. Another new feature is the addition of ‘audio forensics', which greatly improves investigators' abilities to locate critical evidence fast. The addition of audible data such as a breaking window to existing video forensics can aid police officers and other emergency personnel to get straight to the action. SMS4 release 3 is the latest evolution of IndigoVision's leading edge security management software. With enhanced capabilities for managing multi-agency situations through pervasive access to video, SMS4 release 3 empowers its users to greatly increase their response time and accuracy. Existing users can upgrade to SMS4 r3 through IndigoVision's Software Upgrade Program (SUP).Add to Compare
IndigoVision has developed a powerful surveillance solution for the retail and hospitality sectors by integrating its IP Video system with Electronic Point of Sale (EPOS).Data sent from an EPOS system can be overlaid on a live video display, allowing operators to view the camera feed and till transaction simultaneously. The transaction information and alarms generated by the EPOS system are also bookmarked and recorded alongside the video. This facilitates visual identification of an incident in both real time and through post-event analysis.Powerful transaction analysis can be undertaken on the stored data, for example, finding out when a particular credit card was used by searching every till in a store or across all stores from the head office. Conversely, recorded video can be searched using a thumbnail feature, which displays a video still image for every transaction, allowing the operator to quickly identify the relevant footage. Evidential quality video clips and associated transaction data can be exported for investigation or use in court. This can be played back using IndigoVision's standalone Incident Player.Alarms generated by the EPOS system, such as ‘till left open', ‘refund', or ‘large note deposit' can automatically trigger a number of events. For example, display the nearest camera view to the specific till and pinpoint the alarm on an interactive map. This creates a more efficient operator environment that leads to quicker incident response. Alarms from non-security systems such as building management and plant monitoring can also easily be integrated into the system and benefit retail applications, for example, alerting staff when a freezer fails or a door is left open."IndigoVision has a strong presence in the retail sector and has deployed surveillance systems with some of the world's best-known retailers such as IKEA, Sears and John Lewis Partnership," said Oliver Vellacott, IndigoVision CEO. "This new development will strengthen that position further and provide stores with an unmatched solution for integrated surveillance."The seamless integration with third-party systems is achieved through integration modules in ‘Control Center', IndigoVision's Security Management Software. In addition to EPOS, the company has integration modules for over 20 different IP-based access control and security systems.Add to Compare
IndigoVision’s analytics algorithms run both in real-time on live video and also on recorded video using ‘Control Center’, IndigoVision’s enterprise video and alarm management software. Real time analytics are located at the edge of the network, i.e. at the camera, making the solution totally scalable. CCTV operators can now detect events as they happen such as congestion, stolen objects, cars parked too long outside a building, people moving the wrong way through security checkpoints, etc. Live demonstrations of the new advanced analytics suite will be available throughout the Security ESSEN show. IndigoVision’s new analytics include: Congestion Detection Motion DetectionAbandoned Object DetectionCounter FlowVirtual TripwireShape-Based DetectionObject Tracking and Theft DetectionAll of these can be run in real-time at the camera or post-event on recorded video. Real time analytics run in the 8000 Transmitters connected to analogue cameras and in IndigoVision’s dedicated high-end IP domes. This significantly reduces bandwidth requirements on the network and ensures the system is totally scalable. Pre-determined events are identified as they happen, at any camera, and can drive the virtual matrix, e.g. display a salvo on a bank of monitors. Real-time analytics lead to increased effectiveness and improvements in incident detection hit rates. Using ‘Control Center’ software, recorded footage stored on IndigoVision’s networked video recorders (NVRs) can be analysed using the same algorithms. Post processing allows operators to run many different scenarios on recorded video, e.g. look for cars parked for a certain time.Add to Compare
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Artificial intelligence (AI) is improving everyday solutions, driving efficiency in ways we never imagined possible. From self-driving cars to intelligent analytics, the far-reaching impacts of Deep Learning-based technology empower human operators to achieve results more effectively while investing fewer resources and less time. By introducing AI, solutions are not merely powered by data, but they also generate valuable intelligence. Systems which were once leveraged for a narrow, dedicated purpose, can suddenly be engaged broadly across an organisation, because the previously under-utilised data can be harnessed for enhancing productivity and performance. Video analytics software The video intelligence software processes and analyses video to detect all the people and objects that appear When it comes to physical security, for instance, video surveillance is a standard solution. Yet, by introducing AI-driven video analytics software, video data can be leveraged as intelligence in previously inaccessible ways. Here are some examples of how diverse organisations are using AI-based video intelligence solutions to enhance security and performance with searchable, actionable and quantifiable insights. Law enforcement relies on video surveillance infrastructure for extracting investigation evidence and monitoring people and spaces. Instead of manual video review and live surveillance – which is prone to human error and distraction – police can harness video content analysis to accelerate video investigations, enhance situational awareness, streamline real-time response, identify suspicious individuals and recognise patterns and anomalies in video. The video intelligence software processes and analyses video to detect all the people and objects that appear; identify, extract and classify them; and then index them as metadata that can be searched and referenced. Maintaining public safety For law enforcement, the ability to dynamically search video based on granular criteria is critical for filtering out irrelevant details and pinpointing objects of interest, such as suspicious persons or vehicles. Beyond accelerating video evidence review and extraction, police can leverage video analysis to configure sophisticated real-time alerts when people, vehicles or behaviours of interest are detected in video. Instead of actively monitoring video feeds, law enforcement can assess triggered alerts and decide how to respond. In this way, officers can also react faster to emergencies, threats and suspicious activity as it develops. Video analysis empowers cities to harness their video surveillance data as operational intelligence Empowering law enforcement to maintain public safety is important beyond the benefit of increasing security: A city with a reputation for effective, reliable law enforcement and enhanced safety is more likely to attract residents, visitors and new businesses, exponentially driving its economic development. Furthermore, in cities where law enforcement can work productively and quickly, time and human resources can be reallocated to fostering growth and building community. Video surveillance data Video analysis empowers cities to harness their video surveillance data as operational intelligence for optimising city management and infrastructure. When video data is aggregated over time, it can be visualised into dashboards, heatmaps and reports, so operators can identify patterns and more seamlessly detect anomalous behaviour. A city could, for instance, analyse the most accident-prone local intersection and assess the traffic patterns to reveal details such as where cars are dwelling and pedestrians are walking; the directional flows of traffic; and the demographic segmentations of the objects detected: Are cars lingering in no-parking zones? Are pedestrians using designated crosswalks – is there a more logical location for the crosswalk or traffic light? Do vehicles tend to make illegal turns – should police proactively deter this behaviour, or should the city plan new infrastructure that enables vehicles to safely perform these turns? Finally, does the rise in bike traffic warrant implementing dedicated biking lanes? With video intelligence, urban planners can answer these and other questions to facilitate local improvements and high quality of life. By leveraging the video insights about citywide traffic, public transit organisations can make data-driven decisions about scheduling and services Enhancing situational awareness Insight into traffic trends is also critical for transport companies, from public transit services to transportation hubs and airports. By leveraging the video insights about citywide traffic, public transit organisations can make data-driven decisions about scheduling and services. Analysing video surveillance around bus stops, for instance, can help these companies understand the specific hours per day people tend to dwell around bus stops. Correlating this information with transactional data for each bus line, bus schedules can be optimised based on demand for individual bus lines, shortening waiting times for the most popular routes. Similarly, the traffic visualisations and activity heatmaps derived from the video of major transit hubs, such as international airports and central stations, can be beneficial for increasing security, enhancing situational awareness, identifying causes of congestion, improving throughput and efficiency and, ultimately, solving these inefficiencies to provide a streamlined customer experience for travellers. Large education campuses Campus law enforcement can leverage video data to increase situational awareness and public safety Much like a city, large education campuses have internal transportation services, residential facilities, businesses and law enforcement, and video content analysis can support the campus in intelligently managing each of those business units, while also providing video intelligence to these individual groups. Campus law enforcement can leverage video data to increase situational awareness and public safety, driving real-time responses with the ability to make informed assessments and accelerating post-event investigations with access to easily extractable video data. When campuses are expanding or developing additional infrastructure, they can plan new crosswalks, traffic lights, roads, buildings and entrances and exits based on comprehensive video intelligence. By understanding where pedestrians and vehicles dwell, walk, cross or even violate traffic laws, the campus can inform construction projects and traffic optimisation. Countless business operations The campus can leverage video business intelligence to justify leasing pricing for different retailers across campus Finally, the campus can leverage video business intelligence to justify leasing pricing for different retailers across campus, demonstrating property values based on traffic trends that can be correlated with retailer point of sale data. Whether its empowering security, productivity or decision-making, the insights generated by AI-based technology can drive significant optimisation – especially when data is fused and cross-referenced across smart sensors and systems for even deeper intelligence. In the case of AI-backed video analytics, diverse organisations can harness video surveillance impactfully and dynamically. Whereas once video technology investments could be justified for their security value – with the introduction of AI capabilities – procurement teams can evaluate these solutions for countless business operations, because they offer broadly valuable intelligence. And video surveillance and analytics is merely one example of AI-driven solutions’ potential to disrupt business as we know it.
The healthcare sector is a crucial part of a functioning society as it provides life-saving care and reassurance to the population. A key part of ensuring the professionals in this industry have the best work environment is the ongoing security of the facilities. Overcoming environmental challenges Hospitals are challenging environments for security integrators. There is little room for mistakes because staff, patients and assets cannot be compromised. Medical centres and their facilities can be vast complexes and security teams must be confident in their ability to identify and nullify threats as soon as possible. Chubb provided Queensland Children’s Hospital's security team with a simple and easy-to-use tool Chubb Fire & Security offers a range of intelligent video and access control systems to solve these challenges. The Queensland Children’s Hospital in Australia, formerly named Lady Cilento Children’s Hospital, is the major specialist children’s hospital for families living in Queensland and Northern New South Wales. The facility not only provides care to the local families but also the state’s sickest and most critically injured children who need highly specialised care. This state-of-the-art hospital, coupled with a leading academic and research facility and the high calibre staff, provides a platform to continue to develop as a leader in paediatric health care, education and research. Comprehensive security solution Chubb developed a solution for Queensland Children’s Hospital that included access control, video management, communications and asset tracking. By creating a common infrastructure for all security systems managed through a comprehensive user interface, Chubb provided the hospital’s security team with a simple and easy-to-use tool that enables them to resolve situations as they happen and action events automatically on command. Chubb also developed a 3D model of the building that allows the security team to respond quickly to a wide variety of events. The protection of patients and staff is naturally a hospital's number one priority Also crucial to the implementation of security systems in a hospital is minimal disruption to its everyday operations. Professionals in hospitals are working 24/7 so there is little time when it comes to disabling security systems for maintenance or repairs. Continued maintenance and upgrades are vital elements to Chubb’s work and key to this is a great deal of collaboration with clinical and operational stakeholders. Securing mission-critical environment Hospital facilities are not always state-of-the-art and often face the slow upgrade process that a limited budget imparts. However, through the audit and update of security systems, steps can be taken to ensure continued operations without external disruption. The protection of patients and staff is naturally a hospital's number one priority and Chubb shares the same commitment to making sure the environment is safe and secure. Carrying out a technically demanding project in a large, mission-critical environment like a hospital takes strong teamwork, including expert strategic partners, and collaboration between stakeholders.
There’s almost no installation that goes 100-percent smoothly in the field of video surveillance. Unexpected issues routinely arise that can increase time on the job, cost of the project and frustration. Manufacturers work on the product side to help ensure their products are easy to install and – when troublesome situations do arise – are flexible enough for installers to quickly find a remedy. Importance of ease of installation Ease of installation is a very important part of the project to the system integrator because the cost of labour is variable Ease of installation is a very important part of the project to the system integrator because the cost of labour is variable and can be very expensive. In some cases, the cost of labour to install a camera can be more than the cost of the camera! If labour costs are high – or are more expensive than a system integrator planned – they can lose a great deal of money on a project. If a cautious system integrator includes too high of an estimate for labour in a project bid, his overall bid will to high and it could cost him the project. The easier the camera is to install, the lower the labour cost, subsequently achieving higher savings for end-users. Hence it is essential that camera manufacturers develop products that are easy to install or are flexible in the field for system integrators and installers who know that time is money. Enterprise projects can involve thousands of cameras installed Simplifying installation of cameras Camera installation typically involves an electrician, the camera installer and the person who configures the VMS (Video Management Software). Of course, one person can play all three roles, and in many cases, does, but enterprise projects can involve dozens, hundreds or even thousands of cameras with teams of individuals involved in an installation. The electrician runs conduit with an electrical or PoE (Power over Ethernet) connection to the housing or the backplate of the camera; the installer then installs the camera at that location, hooking it up to power; and then a configurator adds cameras to the network and makes adjustments – renaming the camera, setting the frame rate, enabling WDR (Wide Dynamic Range), and the like. When it’s a project that involves different players for any of these functions, there is the potential for a bottleneck and delay in project completion. And if a system integrator is paying an electrician, installer and software configurator – and they are all three on site waiting for each other to finish – that’s a system integrator’s worst-case scenario. Enhancement through modular cameras Video surveillance camera manufacturers like Hanwha Techwin are producing products that take different roles Video surveillance camera manufacturers like Hanwha Techwin are producing products that take the different roles of electrician, installer and configurator into consideration, allowing them to complete their tasks independently. With a focus on modular design which includes a USB dongle, a device manager, magnetic module and included accessories, the Wisenet X series Plus is one of the fastest cameras to install, service and upgrade – saving installers time and money. Wisenet X series Plus cameras have a detachable camera module that utilise magnets to lock into the housing for instant configuration. Electricians can run conduit with a single PoE connection to the back plate/housing while the configurator is working on configuring the camera module, allowing security professionals to later snap the camera into place in just minutes. The VMS configurator can then come and add the cameras to the network and program their functionality. Modular cameras offer flexibility In the past, an end user might determine after the camera is installed that there aren’t enough pixels on target, or they need certain different functions like video analytics for example, resulting in the time-consuming replacement of the entire camera. With modular-designed cameras, the camera module can be swapped with a new one without having to focus or replace the camera – even to change the resolution or field of view, also Wisenet X series Plus has optional PTRZ modules that can be remotely adjusted to the field of view and the position of the camera lens. Making camera adjustments in the field is also now easier and perhaps even safer. Installers have been known to climb a ladder and juggle a bulky laptop to access the network to be able to see video of how the camera is positioned. Or they’ve had to use analogue video output to view the video feed on a separate monitor which provides the field of view, but not megapixel quality. Using a smartphone, the installer can wirelessly see full and not cropped quality video directly from the camera Wisenet X series Plus cameras have a USB port that allows installers to connect it to a small dongle that converts the camera to a Wi-Fi device. Using a smartphone, the installer can wirelessly see full and not cropped quality video directly from the camera. It’s a much easier way to evaluate video while at the camera. Eliminating the second person looking at live view on a computer guiding through a cellphone to the installer to accurately point the camera to the proper position. If system integrators can do some of the legwork prior to even getting on site, it can reduce cost and improve efficiency. Imagine having 300 cameras ready to send to a project site. To configure those cameras, a system integrator has to take each camera out of the box, plug each into a switch, configure it, take it off of the switch and put it back in the box. To improve this process, camera manufacturers have now developed packaging that provides access to the camera port without even having to remove it from the box. It’s an innovative solution that saves time. Modular cameras have optional PTRZ modules that can be remotely adjusted to the field of view Software programs help in enhancing installation Whether it’s a one-man show or a team of electricians, installers and configurators, software programs can greatly enhance the installation process. Device managers are important tools in adding multiple cameras to a project. Using that 300-camera project, for example, it’s easier when a manufacturer has a device manager that allows the mass programming and configuration of cameras. Adding 300 cameras one by one is time consuming and leaves room for error when making so many multiple entries. A device manager should be able to scan the network and locate its devices, allowing them to be grouped, configured and much more. Every video surveillance camera project is going to have its ups and downs. But camera manufacturers can do their part in the production process to address the many issues known to slow down progress. It’s impressive that many are taking the lead in producing innovations like modular camera design, flexibility in the field and accessible packaging that can truly reduce installation cost and improve efficiency.
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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