27 October 2022
How AI is Changing the CCTV Industry
Generate New Business With AI
The CCTV industry has always sought to exploit the latest advances in technology. This is certainly true in the case of manufacturers such as Dahua and Hanwha Vision who have equipped their latest generation of cameras with powerful AI chipsets and deep learning algorithms which accurately detect people and vehicles.
Many installers, however, are missing out on the opportunity to generate new business, as they are mistakenly under the impression that AI is only relevant to high security projects, as well as being costly and complicated to implement. In reality, installers and system integrators with minimal training, can put the technology to good use as part of virtually any video surveillance, and in doing so, enable their end-user clients to cost-effectively achieve added value from their CCTV solutions. Here’s how AI is changing the CCTV industry.
Ultra-fast Alanytics Enabled By Artificial Intelligence
Many of the Wisenet cameras manufactured by Hanwha Vision are equipped with Deep Learning AI video analytics which delivers a high level of detection accuracy. It does so by simultaneously detecting and classifying various object types, including people, vehicles, faces and licence plates.
The Deep Learning AI video analytics is supported by Wisenet AI algorithms which identify the attributes of objects or people, such as their age group and gender or the colour of their clothes. The attributes are saved as metadata alongside the images captured by the AI cameras, enabling users to quickly search for specific objects or incidents. The algorithms are even able to recognise if a person is wearing glasses or is holding a bag.
Security personnel and control room operators are therefore able to rapidly carry out a forensic analysis of recorded video to search for specific objects.
Video Surveillance wITH Active Deterrence
Dahua’s three-in-one TiOC cameras capitalise on AI to accurately detect people and vehicles. As well as the triggering of flashing alarm lights and two-way audio, which enable control room operators to warn off would be intruders, the Active Deterrence capabilities of the TiOC cameras also include standard or customised audio messages which can be automatically broadcast when a break-in is detected.
Eliminating false alarms
AI video analytics ignores video noise, waving trees, moving clouds and animals because it has not been trained to look out for them. As such, common causes of false alarms normally associated with traditional motion detection technology or sensors which are being used to detect activity, can be eliminated, saving time and money, whilst allowing security personnel to respond quickly to suspicious activity or emergency.
Manufacturers such as Dahua and Hanwha Vision believe that by harnessing the power of AI, they are able to provide businesses, local authorities and other organisations with an affordable tool to keep one step ahead of intruders. This view is supported by a report produced by Memoori Smart Building Research, which predicts video surveillance product sales could increase from $19.15Bn in 2019 to $35.82Bn by 2024 and that AI video analytics software is likely to make a significant contribution to this growth. However, as well as helping combat criminal activity and making remote monitoring more efficient, there are many other ways AI can assist businesses to improve productivity and deliver a high return on investment (ROI).
Do you want to know more about how AI is changing the CCTV industry and to generate new business with the help of AI?