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Four out of every ten (41%) of England-based medium and large-sized businesses, which are running CCTV systems, have already deployed facial recognition analytics in their systems, in order to capture human faces and compare images to human face databases, with a view to identifying matches for access control, event security or for public safety purposes.

Facial recognition analytics

One in six (16%) of CCTV system owners admitted to having access to this capability on their system, but not yet going live with it.

Over a third of CCTV system owners (36%) in businesses, with over 50 employees, had already deployed some event or behavioural recognition analytics. Examples given include spotting loitering or highlighting abandoned bags (bags with no person in close proximity). A further 22% believed that they had this capability in their systems, but had not yet turned it on.

ANPR and video motion detection technology

Just over a third (34%) of CCTV system owners questioned had already deployed ANPR

Just over a third (34%) of CCTV system owners questioned had already deployed Automatic Number Plate Recognition (ANPR) technology, to capture number plates at perimeter barriers, for example, and the same number of system owners (34%) had deployed Video Motion Detection (VMD), to help reduce their system’s video storage requirements, by only recording when motion is detected, in front of a camera.

One in five (20%) business owners claimed to have access to ANPR analytics in their systems, but have not yet turned it on. A further 27% claimed to have Video Motion Detection (VMD) capability in their systems, which they have not yet activated.

Objection Detection or Object Classification 

Exactly a third (33.33%) of CCTV system owners in England claimed to have deployed object tracking technology, which is a relatively new capability that enables security teams to track individuals, from camera to camera, through a large site in ‘Auto Track’ mode.

Nearly a third (32%) of business owners had deployed Objection Detection or Object Classification, in order to help the video security system distinguish between humans, vehicles, animals, swaying trees, shadows, rain, luggage, water, roads, and etc. 23% of these business owners confirmed that they had this capability in their systems, but had not yet activated it.

Deploying Directional Detection analytics

Only marginally less (31.6%) CCTV system owners claimed to have already deployed Directional Detection analytics, so as to detect which direction an object or a person is moving over a line. A further 28% of business owners claimed to have this capability at their disposal, but not to have turned it on as of now.

Optical Character Recognition (OCR) analytics heavily used to read the identification numbers on parcels and other goods in transit has been deployed by 31% of England’s businesses, as per NW Security’s recent business survey. A further 35% of CCTV system owners claimed that they already had this capability in their systems, but had not yet put it to work.

Business intelligence-led video analytics

Business intelligence-led video analytics was not far behind, in terms of adoption by businesses in England

Business intelligence-led video analytics was not far behind, in terms of adoption by businesses in England. For example, heat mapping, which is commonly used to detect crowds forming before events or analyse the busiest areas of a shop, has already been deployed by 28% of CCTV system owners. Nearly another quarter (23%) claimed to have this capability at their disposal, but had not yet configured it or made it live.

28% of CCTV system owners had turned on people counting analytics on their systems. NW Security discovered that some of these people had adopted this capability, in order to monitor room capacity levels, owing to COVID-19 safety reasons. Nearly as many, 26% of businesses in England, thought they had people counting analytics available in their system but had not yet made it live.

Facial detection and traffic monitoring analytics

Over a quarter (27%) of CCTV system owners recorded that they were using facial detection analytics and a further quarter (25%) of businesses had deployed traffic monitoring analytics in their systems.

While 22% of CCTV system owners recorded making crowd density analytics live on their systems. Even higher numbers (24%) of businesses in England have confirmed that they had access to crowd density measurement analytics, but had not yet deployed it.

Video analytics at the edge

We have been surprised by the level of adoption, of even fairly sophisticated video analytics, across CCTV system owners"

Frank Crouwel, the Managing Director of NW Security, commented “We have been surprised by the level of adoption, of even fairly sophisticated video analytics, across CCTV system owners. That said, more and more camera vendors are offering analytics at the edge. Many video analytics types are present in over half of existing systems and 7 different types of analytics have already seen over 30% adoption, across our total base of over 152 CCTV system owners of medium and large-sized businesses across England.

Josh Woodhouse, Lead Analyst at Novaira Insights, a UK-based video surveillance market research company and publisher of the ‘World Market for Video Surveillance Hardware and Software’ market report earlier in the year, stated “Basic features like motion detection and virtual tripwire have been embedded in most cameras for many years. However, it is an ongoing trend, where more analytics workload can be achieved at the edge.

Cameras with advanced analytics

Josh Woodhouse adds, “An increasing number of new cameras sold feature more advanced analytics like event or behaviour recognition. It is estimated that 43% of all professional grade network security cameras, shipped in the world in 2020, featured these more advanced analytics. This is forecast to nearly double to 81% by 2025, leading to cameras having the functionality for advanced analytics, such as object detection or facial recognition, as standard capabilities.”  

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