Artificial intelligence CCTV Artificial intelligence for video surveillance utilizes computer software programs that analyze the audio and images from video surveillance cameras in order to recognize humans, vehicles, objects and events.

Whether they’re in our homes, offices or on buildings that we walk past every day, there is an estimated 5.9 million surveillance cameras across the UK. CCTV has become a fundamental part of our everyday lives over the last few decades, with everyone from police to small business owners and even homeowners utilising CCTV to help them feel safer and more secure when going about their everyday lives.
The amount of manpower required to monitor every single one of these cameras would be phenomenal: enter artificial intelligence (AI).

One of technology’s favourite buzzwords over the past few years, AI is revolutionising the technology behind CCTV, making it smarter, more efficient and giving it the ability to help apprehend a criminal before they’ve even struck.

The integration of AI into systems will effectively overhaul an industry where previous innovation in recent years has been centred around the quality of video captured and the integration of being able to control security, lighting and heating remotely through one provider.
Ultimately, the incorporation of AI into CCTV will undoubtedly help the market to further prove its worth and place in 2019 and beyond, thus the industry needs these developments to continue coming to the fore at the rate we’ve seen over the past few years.

CCTV needs to move beyond being a tool that is used as a reactive and precautionary measure, and instead should take a pre-emptive role in actively recognising the dangers that members of the public, homeowners and business owners alike face on a daily basis, allowing them to take timely and appropriate action.

The early indicators from innovators in the space are good, with some of the features of the machine learning behind CCTV already being incredibly advanced. However, as the developers continue to learn, so will the machines, meaning that this technology and its potential to make us all safer knows no bounds.

The rate at which this technology is developing could lead to traditional, human-monitored CCTV systems being rendered obsolete within the next two decades. However, this depends not only upon the development of the technology, but also at the rate at which businesses, the general public and law enforcement accept and embrace it.

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