IndigoVision CCTV Transmitters & Controllers

If you’re responsible for a medium or large-sized office, it’s more important than ever that you have access to a means of ensuring people’s safety, managing risks and fraud, and protecting property. Any security system that you employ must therefore meet the most demanding commercial requirements of today’s offices, and tomorrow’s. This means thinking beyond a basic intrusion system and specifying a comprehensive solution that integrates smart features like access control, video management and intelligent video analytics. Because only then will you have security you can trust, and detection you can depend on. Reliable entry management Access control systems have been developed that guarantee reliable entry management for indoors and outdoors Access control is becoming increasingly important for ensuring the security of office buildings, but as the modern workplace evolves you’re unlikely to find a one-size-fits-all solution. Today, it’s commonplace to control entry to individual rooms or restricted areas and cater to more flexible working hours that extend beyond 9 to 5, so a modern and reliable access control system that exceeds the limitations of standard mechanical locks is indispensable. Access control systems have been developed that guarantee reliable entry management for indoors and outdoors. They use state-of-the-art readers and controllers to restrict access to certain areas, ensuring only authorised individuals can get in. With video cameras located within close proximity you can then monitor and record any unauthorised access attempts. The system can also undertake a people-count to ensure only one person has entered using a single pass. Scalable hardware components As previously mentioned, there is no one-size-fits-all system, but thanks to the scalability of the hardware components, systems can adapt to changing security requirements. For example, you can install Bosch’s Access Professional Edition (APE) software for small to medium-sized offices, then switch to the more comprehensive Access Engine (ACE) of the Building Integration System (BIS) when your security requirements grow. And, because the hardware stays the same, any adaptations are simple. APE’s ‘permanent open’ functionality allows employees and guests to enter designated areas easily and conveniently The APE software administers up to 512 readers, 10,000 cardholders and 128 cameras, making it suitable for small to medium-sized buildings. With functions like badge enrollment, entrance control monitoring and alarm management with video verification it provides a high level of security and ensures only authorised employees and visitors are able to enter certain rooms and areas. Of course, there will always be situations when, for convenience, you need certain doors to be permanently open, such as events and open days. APE’s ‘permanent open’ functionality allows employees and guests to enter designated areas easily and conveniently. Growing security needs You switch to the Bosch Building Integration System (BIS), without having to switch hardware (it stays the same, remember?). This is a software solution that manages subsystems like access control, video surveillance, fire alarm, public address or intrusion systems, all on a single platform. It is designed for offices with multiple sites and for large companies with a global presence. Bosch Building Integration System (BIS) manages subsystems like access control, video surveillance, fire alarm, public address or intrusion systems, all on a single platform The BIS Access Engine (ACE) administers up to 10,000 readers and 80 concurrent workplace clients per server, and 200,000 cardholders per AMC. An additional benefit to security officers is the ability to oversee cardholders and authorisations through the central cardholder management functionality and monitor all access events and alarms from every connected site. For consistency, multi-site cardholder information and access authorisations can be created on a central server and replicated across all connected site servers, which means the cardholder information is always up to date and available in every location. Intrusion alarm systems Bosch B Series and G Series intrusion control panels can also send personal notifications via text or email Securing all perimeter doors is vital when protecting employees, visitors and intellectual property. Doors are opened and closed countless times during business hours, and when intentionally left open, your office is vulnerable to theft, and the safety of your employees is compromised. For this reason, intrusion control panels have been developed with advanced features to ensure all perimeter doors are properly closed, even when the system is not armed. If a door remains open for a period of time (you can specify anything from one second to 60 minutes), the system can be programmed to automatically take action. For example, it can activate an audible alert at the keypad to give employees time to close the door. Then, if it is still not closed, it will send a report to a monitoring center or a text directly to the office manager, and when integrated with video it can even send an image of the incident to a mobile device. Customised intrusion systems What about people who need to access your building outside of working hours, like cleaning crews? Your intruder system allows you to customise the way it operates with a press of a button or swipe of a card. This level of control enables you to disarm specific areas, bypass points and unlock doors for cleaning crews or after-hours staff, whilst keeping server rooms, stock rooms and executive offices safe and secure. Bosch B Series and G Series intrusion control panels can also send personal notifications via text or email. You can program the panel to send you opening, closing, and other event alerts, which means you don’t have to be on-site to keep track of movements in and around your facility. Video management system A video management system will add a next level of security to your access control system Every office building has different video security requirements depending on the location, size and nature of the business. Some offices may only need basic functions such as recording and playback, whereas others may need full alarm functionalities and access to different sites. A video management system will add a next level of security to your access control system. For example, the video system can provide seamless management of digital video, audio and data across IP networks for small to large office buildings. It is fully integrated and can be scaled according to your specific requirements. The entry-level BVMS Viewer is suitable for small offices that need to access live and archived video from their recording solutions. With forensic search it enables you to access a huge recording database and scan quickly for a specific security event. For larger offices, embellished security functions for the BVMS Professional version can manage up to 2,000 cameras and offers full alarm and event management Full alarm and event management For larger offices, embellished security functions for the BVMS Professional version can manage up to 2,000 cameras and offers full alarm and event management. It’s also resilient enough to remain operative should both Management and Recording Servers fail. Large multi-national companies often need access to video surveillance systems at numerous sites, which is why BVMS Professional allows you to access live and archived video from over 10,000 sites across multiple time zones from a single BVMS server. When integrated with the BVMS Enterprise version multiple BVMS Professional systems can be connected so every office in the network can be viewed from one security center, which provides the opportunity to monitor up to 200,000 cameras, regardless of their location. Essential Video Analytics Video analytics acts as the brain of your security system, using metadata to add sense and structure to any video footage you capture If your strategy is to significantly improve levels of security, video analytics is an essential part of the plan. It acts as the brain of your security system, using metadata to add sense and structure to any video footage you capture. In effect, each video camera in your network becomes smart to the degree that it can understand and interpret what it is seeing. You simply set certain alarm rules, such as when someone approaches a perimeter fence, and video analytics alerts security personnel the moment a rule is breached. Smart analytics have been developed in two formats. Essential Video Analytics is ideal for small and medium-sized commercial buildings and can be used for advanced intrusion detection, such as loitering alarms, and identifying a person or object entering a pre-defined field. It also enables you to instantly retrieve the right footage from hours of stored video, so you can deal with potential threats the moment they happen. Essential Video Analytics also goes beyond security to help you enforce health and safety regulations such as enforcing no parking zones, detecting blocked emergency exits or ensuring no one enters or leaves a building via an emergency exit; all measures that can increase the safety of employees and visitors inside the building. Intelligent Video Analytics Intelligent Video Analytics have the unique capability of analysing video content over large distances Intelligent Video Analytics have the unique capability of analysing video content over large distances, which makes it ideally suited to more expansive office grounds or securing a perimeter fence. It can also differentiate between genuine security events and known false triggers such as snow, rain, hail and moving tree branches that can make video data far more difficult to interpret. The final piece in your security jigsaw is an intelligent camera. The latest range of Bosch ’i’ cameras have the image quality, data security measures, and bitrate reduction of <80%. And, video analytics is standard. Be prepared for what can’t be predicted. Although no-one can fully predict what kind of security-related event is around the corner, experience and expertise will help make sure you’re always fully prepared.

The term “smart city” gets thrown around a lot nowadays, but as different technologies that strive to be defined in this way are adopted by different countries globally, the meaning of this phrase gets lost in translation. The simplest way to define a “smart city” is that it is an urban area that uses different types of data collecting sensors to manage assets and resources efficiently. One of the most obvious types of “data collecting sensor” is the video camera, whether that camera is part of a city’s existing CCTV infrastructure, a camera in a shopping centre or even a police car’s dash camera. The information gathered by video cameras can be used with two purposes in mind, firstly: making people’s lives more efficient, for example by managing traffic, and secondly (and arguably more importantly): making people’s lives safer. Live streaming video all the time, everywhere In the smart and safe city, traditional record-only video cameras are of limited use. Yes, they can be used to collect video which can be used for evidence after a crime has taken place, but there is no way that this technology could help divert cars away from an accident to avoid traffic building up, or prevent a crime from taking place in the first place. However, streaming live video from a camera that isn’t connected to an infrastructure via costly fibre optic cabling has proven challenging for security professionals, law enforcement and city planners alike. This is because it isn’t viable to transmit video reliably over cellular networks, in contrast to simply receiving it. Video transmission challenges Transmitting video normally results in freezing and buffering issues which can hinder efforts to fight crime and enable flow within a city, as these services require real-time, zero latency video without delays. Therefore, special technology is required that copes with poor and varying bandwidths to allow a real-time view of any scene where cameras are present to support immediate decision making and smart city processes. The information gatheredby video cameras can beused to make people’s lives more efficient, and to make people’s lives safer There are many approaches to transmitting video over cellular. We’ve developed a specialist codec (encoding and decoding algorithm) that can provide secure and reliable video over ultra-low bandwidths and can therefore cope when networks become constrained. Another technique, which is particularly useful if streaming video from police body worn cameras or dash cams that move around, is to create a local wireless “bubble” at the scene, using Wi-Fi or mesh radio systems to provide local high-bandwidth communications that can communicate with a central location via cellular or even satellite communications. Enhanced city surveillance Live video streaming within the smart and safe city’s infrastructure means that video’s capabilities can go beyond simple evidence recording and evolve into a tool that allows operations teams to monitor and remediate against incidents as they are happening. This can be taken one step further with the deployment of facial recognition via live streaming video. Facial recognition technology can be added on to any video surveillance camera that is recording at a high enough quality to identify faces. The technology works by capturing video, streaming the live video back to a control centre and matching faces against any watch lists that the control centre owns. Importantly, the data of people who aren’t on watch lists is not stored by the technology. Identifying known criminals This technology can work to make the city safer in a number of ways. For example, facial recognition could spot a known drug dealer in a city centre where they weren’t supposed to be, or facial recognition could identify if a group of known terror suspects were visiting the same location at the same time, and this would send an alert to the police. Facial recognition technology captures and streams live back to a control centre, matching faces against any watch lists that the control centre owns In an ideal world where the police had an automated, electronic workflow, the police officer nearest to the location of the incident would be identified by GPS and would be told by the control room where to go and what to do. Most police forces aren’t quite at this technological level yet, and would probably rely on communicating via radio in order to send the nearest response team to the scene. As well as this, shopping centres could create a database from analogue records of known shoplifters to identify criminals as soon as they entered the building. This would be even more effective if run co-operatively between all shopping centres and local businesses in an area, and would not only catch any known shoplifters acting suspiciously, but would act as a deterrent from shoplifting in the first place. Live streaming for police As mentioned above, live streaming video from CCTV cameras can help the police fight crime more proactively rather than reactively. This can be enhanced even further if combined with live streaming video from police car dash cams and police body worn cameras. If video was streamed from all of these sources to a central HQ, such as a police operations centre, the force would be able to have full situational awareness throughout an incident. This would mean that, if need be, officers could be advised on the best course of action, and additional police or other emergency services could be deployed instantly if needed. Incorporated with facial recognition, this would also mean that police could instantly identify if they were dealing with known criminals or terrorists. Whilst they would still have to confirm the identity of the person with questioning or by checking their identification, this is still more streamlined than describing what a person looks like over a radio and then ops trying to manually identify if the person is on a watch list. The smart, safe city is possible today – for one, if live video streaming capabilities are deployed they can enable new levels of flow in the city. With the addition of facial recognition, cities will be safer than ever before and law enforcement and security teams will be able to proactively stop crime before it happens by deterring criminal activity from taking place at all.

The use of drones has increased dramatically in the last few years. Indeed, by 2021, the FAA says the number of small hobbyist drones in the U.S. will triple to about 3.55 million. With that growth, drone capabilities have increased while costs have decreased. For example, the DJI Phantom 4 can deliver a 2-pound payload to a target with 1.5m accuracy from 20 miles away for the less than $1000.00. This is an unprecedented capability accessible to anyone. This new technology has created an entirely new security risk for businesses and governments. Drone security risks Already, rogue groups such as ISIS have used low cost drones to carry explosives in targeted attacks. Using this same method, targeting high profile locations within our borders to create terror and panic is very possible. Security professionals and technologists are working furiously to address the gaps in drone defence. Currently, the most common technologies in use for drone detection are video, acoustic sensors, radio, and air surveillance radar. Each of these has advantages, but they also have flaws that make it difficult to detect drones in all conditions. Both optical and thermal cameras, as well as acoustic sensors, do not operate in severe weather such as fog and snow. And while radio and air surveillance radar cover a wide area of detection, they suffer from high installation costs and limiting technical challenges, such as being unable to detect low flying drones on autopilot. Compact Surveillance Radar (CSR) Compact Surveillance Radar (CSR) is a security technology addressing the problems with other types of detection. CSR, like traditional radar, has the benefit of being able to detect and track foreign objects in all weather conditions, but at a fraction of the size and cost. The compact size allows the radar to be mounted on existing structures or even trees, providing extensive perimeter defence almost anywhere that you can imagine. CSR can also filter out clutter such as birds by using an advanced algorithm reducing the number of false alarms. While the use of CSR and the other detection technologies are legal in the US and in most locations throughout the world, the response mechanisms are generally not. Current regulations in the US prohibit the use of jamming or GPS spoofing in all cases except for a few federal agencies Regulations limiting drones Current regulations in the US prohibit the use of jamming or GPS spoofing in all cases except for a few federal agencies. This makes it difficult to stop the damage that drones can cause. The FAA has put into place new regulations that limit some uses of drones. However, in most cases it is still illegal for even state or local governments to stop or interfere with drones other than to locate the operator and have them land the drone. In 2016 the first law to neutralise a drone in the United States was passed in Utah to respond to drones in wildfire areas because of their interference with airborne firefighting. This law may very well provide a model for other states dealing with drones in situations where people’s lives are being put at risk by drones. At the federal level, much effort is being put into evaluating the regulations and technology surrounding the misuse of drones. In the 2016 reauthorisation bill for the FAA, Section 2135 included a pilot program for the investigation of methods to mitigate the threat of unmanned aircraft around airports and other critical infrastructure. There are many federal agencies that are evaluating the use of a variety of technologies to respond to this threat. Both optical and thermal cameras, as well as acoustic sensors, do not operate in severe weather such as fog and snow   Effective countermeasure technologies The most effective countermeasure for drones is jamming, currently off-limits to the private sector. This includes stadiums, convention centres, and other large gathering areas. A number of companies are developing new response technologies that do not require the use of jammers or hacking. Several companies have developed net guns that shoot a net at an approaching drone. These are only effective at less than 100m and frequently miss the target, especially when the drone is approaching at high speed. Several other companies have taken this method a step further, with drones that capture other drones. Once a radar detects a drone, another defence drone is launched and flies to the point of detection. Then, using video analytics it homes in on the drone and fires a net to disable the drone and take it to a safe location. While this drone capturing technique is still in its infancy, it shows a great deal of promise and will not be restricted in the same fashion as jamming. However, even this solution is difficult under current regulations, as all commercial drones in the US must be under direct control of a human operator within their line of sight. This effectively means that a drone operator is required to be on-site at all times to protect a facility, event, or persons. One thing is for certain, technology will continue to adapt and security companies will continue to invent new methods to protect their facilities and the people they are sworn to protect.

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.”