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Picture this: a massive wall of monitors steaming live videos that virtually dwarfs the person in-charge of monitoring all the happenings. Impressive isn’t it! But if you have a close look at this arrangement, all this adulation and sense of security will be gone. This is because there is a major chink in the armor of this setting, which can take you down at any time. After all, how much can a single pair of eyes see or process? How many unusual, illegal or dangerous activities will he be able to spot? And then there is also the question of costs. As a result, companies and end users alike are turning towards remote CCTV monitoring services.

But how is offsite CCTV monitoring better than onsite monitoring. If onsite monitoring personnel’s aren’t good enough, how can you expect offsite professional to perform better?

Technology – the key differentiator                         

This is where utilization of innovative technologies such as artificial intelligence and video analytics is making the difference. By helping security officers analyze the video streams in real-time and flag unusual activities that could pose a threat to the business, AI and video analytics are offering a technological edge that was previously unheard of in the industry.

Essentially, these technologies are enabling surveillance platform to learn and understand what is normal, which goes a long way in identifying anomalous and potentially harmful behavior that a human might overlook.

How does the surveillance system ‘learn’?

Surveillance systems powered by AI and video analytics start the learning process by observing objects and getting of sense of when, where and what kind of activities will take place within its vicinity. Next they take the operator’s feedback about accuracy of various events and incorporate the intelligence into the system itself.

The need for this transformation

The need to eliminate human errors was one of the biggest drivers behind bringing AI and analytics into video surveillance. As per various studies, the directed attention capacity of a human engaged in dull and unexciting tasks is around 20 minutes. This attention capacity will further deteriorate, when the person in question has to keep an eye on more than one item at a time. In such a situation, the only way you can improve the operational efficiency of the monitoring system is by putting AI and video analytics in-charge, and molding these technologies to take the place of initial human judgment.

What does this mean to your business?

A security officer might not be able to spot an intruder in a poorly lit facility, but a camera powered by intelligent video analytics can spot the flash on the screen and raise an alarm. Or it can spot a security breach in the building and alert security personals on the ground to take stock of the situation, all without any lag and keeping close vigil on the network of cameras across multiple locations.

In simple words, by augmenting human monitoring and notifying security teams of potential threats in real time, AI-powered systems are helping businesses to prevent break-ins or illegal activity, and at the same time, increase human accuracy within the monitoring spectrum.