IndigoVision Video Servers (IP Transmission) / Video Encoders

For those of you old enough to remember, video matrix switchers were once the heyday of surveillance camera control. These cumbersome antiques were at the heart of every major video surveillance system (CCTV at the time) in premier gaming properties, government installations and corporate industrial complexes. They required more physical labour to construct and configure than perhaps the pyramids – maybe not – but you get the picture. And then digital video made its way in to the market and everything changed, transforming the physical demands for camera control and management from a hardware-centric to a software driven process. We’ve come a long way in a few short years, and the borders that once defined IT and security continue to diminish, if not disappear completely There’s no doubt that this migration also presented significant challenges as many security professionals often struggled with all things IT and software programming being one of the industry’s soft spots. Fortunately, we’ve come a long way in a few short years, and the borders that once defined IT and security continue to diminish, if not disappear completely. However, the complexities of today’s VMS functionality can be intimidating for anyone tasked with installing one of these systems given all of the user-defined options available from the simplest camera sequencing and bandwidth allocations to mobile management and enterprise level integration. This is where truly advanced VMS solutions need to shine on both the operations and the design/build sides of the equation. Smart VMS design There are more solutions products labelled “VMS solutions” out there than ever before. The issue is the fact that many of these “solutions” really don’t fall into the category of a true VMS by today’s standards but offer basic camera and NVR control. No doubt that there is a place for such software programs in the market. However, VMS solutions from the likes of OnSSI and other industry-leading companies offer distinct and superior management and control capabilities for demanding security and business intelligence applications. Perhaps of equal importance, these top-tier VMS solutions incorporate provisions for installers, so they have a clear and easier implementation path. OnSSI offers VMS solutions with smart camera drivers Here are seven attributes that can assist with the design and implementation of an advanced VMS solution: 1) Open architecture platform We need the ability to easily integrate with other systems and scale for future developments and physical system growth The ability to easily integrate with other systems and scale for future developments and physical system growth is largely dependent on a systems platform architecture. Here’s where VMS solutions with open architecture provide a distinct advantage. Open-architecture solutions expand functionality by facilitating greater integration between multiple systems and components. This not only makes VMS solutions with open architecture easier to implement, it makes them extremely cost-efficient by eliminating the need for proprietary solutions. Open architecture systems also provide adherence to industry standards such as ONVIF and PSIA, as well as compression formats such as H.265 and MJPEG, and help ensure system integration and support of an extensive range of manufacturers’ cameras and off-the-shelf hardware. Be wary of VMS solutions with limited camera manufacturer support. 2) Simple licensing processes and pricing Camera licenses and pricing is always a touchy subject, as any misunderstanding of a specific VMS solutions’ licensing terms can prove to be costly after the fact. And it often seems that some VMS suppliers have gone to great lengths to complicate the process as to obscure actual Total Cost of Ownership (TCO). Perhaps the most direct, simple and straightforward camera licensing and pricing method is to have one license per IP address used by each camera/encoder on multi-channel devices. These should be perpetual licenses with no required annual fees or subscriptions. Additionally, the licensing agreement should be all inclusive without added fees for multiple clients, failover servers, active directory support, I/O devices, redundant management servers, technical support or security patches and updates. 3) Mixing and matching camera license types The ability to mix and match different camera license types within the same system helps facilitate a seamless and simple migration of new and pre-existing systems with minimal downtime or interruption in operation. The ability to mix and match camera licenses not only saves valuable design and installation time, it can provide considerable savings when integrating large, multi-tenant systems. Mix and match capabilities also allow system designers to apply specific feature sets to specific groups of cameras to best leverage functionality and budgets, as well as providing the flexibility to implement an on-site, virtual, or cloud-based VMS solution, without any additional cost. 4) Auto camera detection and configuration Another VMS set-up feature that eases the install process is the ability to forego device registrations or MAC address requirements Another VMS set-up feature that eases the install process is the ability to forego device registrations or MAC address requirements. This functionality allows installers to instantly locate cameras on the network and configure them centrally so they can easily replace older cameras while seamlessly retaining video recorded from them. The auto detection capability should also include the ability to detect and import CSV files, which can then be stored and used to configure camera templates for future camera installation profiles. 5) Smart camera driver technology VMS solutions with smart camera drivers offer valuable assistance during system implementation, and any time new cameras are added to the network or replace older models. Manufacturer-specific smart camera drivers expand the range of model-specific static drivers. Instead of storing the device’s information (codecs, resolutions, frame rates, etc.) statically, a VMS with smart camera drivers queries devices for their capabilities using the manufacturers’ proprietary protocol. All that is required for configuration is that the camera is available on the network. Smart camera drivers eliminate the need to wait for model-specific drivers or installation of driver packs, allowing for newly released cameras to be used immediately. Network security is an area where leading VMS suppliers like OnSSI have ramped up development efforts to stay ahead of hackers  6) Importance of network security Network Security is perhaps the greatest challenge faced by industry professionals today Network security is perhaps the greatest challenge faced by industry professionals today. This is an area where leading VMS suppliers like OnSSI have ramped up development efforts to stay ahead of hackers. New security developments to look for include TLS 1.2 encryption protocols for camera-to-server communications (SSL 3.0 supported for older cameras), as well as server-to-server communications. Additional safeguards to consider include: randomised video databases with no camera identification information to secure recorded data; support for Active Directory authentication; AES encryption between servers and clients; and AES encrypted exporting. 7) Automatic updates Regardless of the supplier you select for your VMS solution, they should be consistently providing new updates and security patches on a frequent if not regular basis. Keeping up with these updates can be a burden and are often overlooked leading to system failures and breeches. Advanced VMS solutions now feature automatic update service checks on a system-wide basis, eliminating the need to manually update individual servers and devices. This ensures that your VMS system always has the latest drivers, fixes and updates which assures overall security while reducing TCO. So next time you’re getting a demo of the latest and greatest VMS solution, remember to ask what it offers in terms of design and implementation tools. Half the battle with new technologies is getting them installed and working properly. Without the right tools to accomplish these critical first steps, all the functionality in the world will do you little good.

It amazes me how in a few short years security systems have gone from simple, dumb cameras witnessing events to intelligent eyes, ears, speech and touch solutions that boost situational awareness far beyond human capabilities. It seems the only senses missing from the equation now are smell and taste. And who knows, someone might be working on those in a lab somewhere right now. But what’s really fascinating to me is how the Internet of Things (IoT) has opened a world of possibilities for transforming security technology into something new yet again. With IoT we’re able to push and pull nuggets of intelligence from sources we never considered before: environmental sensors, pressure plates, door lock timers and much more. It’s helped us break through the constraining mindset that security systems are strictly single-purpose. With interconnectivity at the core, we’re starting to imagine myriad ways to apply these tools to challenges outside the realm of security. Here are just a few examples. Flood management assistance Network camera adds another dimension and timeliness to flood management by helping responders investigate remotely As recent hurricanes and floods have shown, water damage can be devastating to a community. That’s why some municipalities are using their city surveillance cameras in conjunction with water sensor to proactively address the problem. Water sensors collect data from multiple sources such as rain gutters, sewer systems and pump stations, in order to monitor fluctuations in water levels and water quality. If an alert triggers, having a network camera in proximity to visually verify the situation helps responders determine the best course of action. For instance, if multiple water detection sensors trigger alerts simultaneously or sequentially over a large area it’s probably due to natural runoff from recent rainfall. But without eyes on the scene, how can you be sure? Network camera adds another dimension and timeliness to flood management by helping responders investigate and identify the cause of a trigger remotely. It might be a fire hydrant spewing water, a water main break or even a chemical spill. With video streaming live to the command center, staff can remotely inspect the area, determine the cause of the trigger and decide whether remediation is required, thus avoiding the expense of dispatching an investigative crew to a non-event. Some municipalities are using their city surveillance cameras in conjunction with water sensor to proactively address the problem Environmental control assistance Data centers house the lifeblood of a business so it’s no wonder why companies work hard to protect them. We’re all familiar with the integration of network cameras with access control systems to visually verify who is actually using the credentials. Network camera adds another dimension and timeliness to flood management by helping responders investigate and identify the cause of a trigger remotely But there’s another aspect to protecting data centers and that’s environment control. Data centers need to maintain optimum humidity and temperature for the racks of electronics. When environmental sensors in the facility detect out-of-norm ranges technicians can remotely command a network camera to zoom in on the gauges and help them determine whether remediation might be necessary.  Coupling network cameras with other sensors in the data center can provide visual confirmation of other conditions as well. For instance, every time a data rack door-open-close sensor detects an event it can trigger the camera to pan to the location and stream video to security. Some data centers employ weight sensors at the doorway to weigh personnel and equipment as they enter the room and when they exit to ensure no additional hardware is being taken out of the facility or left inside without permission. Any discrepancy would trigger the camera to zoom in for a close-up of the individual’s face and send a visual alert and ID information to security. Roadway management and parking assistance Network cameras have long played a part in city-wide traffic management. Adding video analytics and integration with network sensors, makes those cameras that much smarter and versatile. They can detect cars driving in bike lanes or driving in the wrong direction and capture license plates of offenders. Their ability to detect anomalous traffic flow patterns can be integrated with car counting sensors, networked electronic road signs and traffic light systems to automatically redirect vehicles to alternate routes. They make great, intelligent parking lot attendants, too. Working in conjunction with weight sensors network cameras can count vehicles coming into and leaving a lot or garage and verify when the facility has reached capacity. License plate recognition and video analytics can be used to ascertain that a vehicle entering a reserved parking space doesn’t match the credentials and vehicle attributes in the database. With the addition of noise sensors and audio analytics, network cameras can improve roadway and parking facility safety by detecting and identifying specific sounds – breaking glass, car alarms, gun shots, and aggressive speech – and triggering a visual alert to first responders. Network cameras can improve roadway and parking facility safety by detecting and identifying specific sounds and triggering a visual alert to first responders Shopper experience assistance In the early days of online shopping, e-tailers designed their sites to replicate the in-store customer experience. In an ironic turn of events, today brick-and-mortar stores are trying to mirror the online shopping experience. To do so, they’re turning their security systems into adjunct sales assistance. With network video and audio system automation they can recognise and acknowledge loyal customers with personal greetings. Retailers are applying people counting video analytics to checkout activity to create rules-based consistency in customer service With heatmapping analytics they can measure how much time a customer spends in a specific department or observe how they walk through the aisles of the store. They can track shopping behaviors such as items looked at that made it into the cart or didn’t, or whether a customer actually checked out or left the merchandise behind. By capturing these shopping patterns and trends retailers can shape a more positive, more profitable customer shopping experience. For instance, integrating video analytics with point of sale systems and RFID sensors on merchandise tags can result in timely alerts to sales associates to recommend additional merchandise. This is a case of emulating how e-tailers let the customer know that other customers who bought X often also purchased items Y and Z. Or to avoid disappointing customers due to stock outages, retailers are linking weight sensors and video analytics to make sure their shelves are well-stocked and if not, quickly alert associates to what items need to be restocked. Capturing business intelligence Retailers are also using video cameras to monitor checkout queues and trigger automated announcements over the public-address system, closed system such as smartphones or other wireless communications devices that checkers are needed rather wait for a person to call for backup. IoT laid the groundwork for network security solutions to seamlessly integrate with other IP-based technologies, sensors and programs They’re applying people counting video analytics to checkout activity to create rules-based consistency in customer service. While retailers will always use their surveillance camera for loss prevention, they’re finding that integrating traditional technology in new ways can yield even bigger returns. Linking network video surveillance, video analytics, network communications system and sensors with point-of-sale systems and customer loyalty databases, retailers are capturing the business intelligence they need to get back in the game and make brick-and-mortar a greater overall experience than online shopping. A natural cross-over technology This trend towards integration has forever changed how organisations view their investment in security technology. The intelligence and versatility of a tool that can see, verify and analyse what’s happening in real-time is spurring users to tap its cross-over potential for a host of other tasks that could benefit from more astute situational awareness – everything from manufacturing and equipment maintenance to logistics, inventory control and beyond. IoT laid the groundwork for network security solutions to seamlessly integrate with other IP-based technologies, sensors and programs. How we capitalise on that connection is only limited by our imagination.

Consolidation persisted in the physical security industry in 2018, and big companies such as Motorola, Canon and UTC continued to make moves. Also among the mergers and acquisitions (M&A) news in 2018 was a high-profile bankruptcy (that ended well), continuing consolidation in the integrator market, and the creation of a new entity called “LenelS2.” Here’s a look at the Top 10 M&A stories in 2018: 1. Motorola acquires Avigilon Motorola Solutions announced in February that it had entered into a definitive agreement to acquire video surveillance provider Avigilon in an all-cash transaction that enhances Motorola Solutions’ portfolio of mission-critical communications technologies. Avigilon products are used by a range of commercial and government customers including critical infrastructure, airports, government facilities, public venues, healthcare centers and retail. The company holds more than 750 U.S. and international patents. 2. UTC Climate, Control & Security buys S2 Security UTC Climate, Controls & Security agreed in September to acquire S2 Security, a developer of unified security and video management solutions. UTC subsequently combined S2 with its Lenel brand to create LenelS2, “a global leader in advanced access control systems and services” with “complementary strengths.” 3. Costar Technologies acquires Arecont Vision after bankruptcy Arecont Vision, the provider of IP-based megapixel camera and video surveillance solutions, announced in July that the acquisition by Costar Technologies, Inc. of its assets had been approved by the bankruptcy court. After the closing of the sale, the company began operating as Arecont Vision Costar, LLC and is part of Costar, a U.S. corporation that designs, develops, manufactures, and distributes a range of products for the video surveillance and machine vision markets. 4. Allegion acquires access control company ISONAS Allegion plc, a security products and solutions provider, agreed in June to acquire ISONAS through one of its subsidiaries. ISONAS’ edge-computing technology provides access control solutions for non-residential markets. ISONAS' devices – like its integrated reader-controllers – utilise power over ethernet, making them easy to install and cost effective as they utilise existing customer infrastructures. The company is based in Boulder, Colo. 5. HID buys Crossmatch for Biometrics HID Global announced that it had acquired Crossmatch, a provider of biometric identity management and secure authentication solutions, from Francisco Partners. Crossmatch’s portfolio of products includes biometric identity management hardware and software that complement HID’s broad portfolio of trusted identity products and services. 6. BriefCam announces acquisition by Canon BriefCam, a global provider of video synopsis and deep learning solutions, announced its acquisition in May by Canon Inc., a global digital imaging solutions company. The addition of BriefCam to Canon’s network video solutions products portfolio complements the Canon Group’s previous acquisitions of Axis Communications and Milestone Systems. 7. Allied Universal acquires U.S. Security Associates Allied Universal, a security and facility services company, finalised its acquisition of U.S. Security Associates (USSA) in October, further building on its position in the security services industry. This acquisition includes Andrews International (including its Government Services Division and Consulting and Investigations and International Division) and Staff Pro. 8. Johnson Controls acquires Smartvue Corp. Johnson Controls announced in April that it had acquired Smartvue, a global IoT and video provider that empowers cloud video surveillance and IoT video services. The addition of the Smartvue cloud-based video platform will enhance Johnson Controls’ offering of an end-to-end, smart cloud-based solution that can provide superior business data and intelligence to customers and added value to partners. 9. ADT acquires Red Hawk Fire & Security (and others) ADT Inc.’s acquisition of Red Hawk Fire & Security, Boca Raton, Fla., was the latest move in ADT Commercial’s strategy to buy up security integrator firms around the country and grow their footprint. In addition to the Red Hawk acquisition, announced in mid-October, ADT has acquired more than a half-dozen security system integration firms in the last year or so. 10. Convergint Technologies continues to acquire Convergint Technologies announced in August the acquisition of New Jersey-based Access Control Technologies (ACT), bringing further electronic security systems experience to Convergint's service capabilities. Convergint has strategically grown its service footprint across the United States, Canada, Europe and Asia Pacific through strong organic growth and the completion of 18 acquisitions since early 2016. And it continues: Convergint announced acquisition of SI Technologies, Albany, N.Y., in November and Firstline Security Integration (FSI), Anaheim, Calif., in December. (And Convergint itself was acquired in February by private equity group Ares Management.)

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.”