Key Behaviors Your Video Analytics Should Detect

Video surveillance is widely relied upon across all industries and organizations thanks to its ability to help create and maintains safe and secure environments. In the last couple of years, intelligence video content analytics tech has harnessed the functionality of surveillance beyond passive monitoring with the ability to recognize specific types of activity to help mitigate threats.

But conventional analytics lack the ability to understand what is happening in any given situation. For instance, two people who are physically close together, moving from foot to foot and intermittently coming into contact with one another could be embracing, dancing, or fighting. Conventional analytics only detect their presence without any interpretation of intent.

Having said that, let’s take a close look at some of the key behaviors that today’s best video analytics can detect.

Video Analytics To Identify People Fighting

As mentioned earlier, the action of two people fighting could appear to analytics as similar to other actions. Advanced behavioral analytics has what it takes to discern these actions and actual fighting, defined as at least two people who are hitting each other. The software solutions detect hitting as hands moving towards the other person, touching and then disengaging.

Video Analytics to Predict Crowd Violence and Contextual Loitering

There’s no denying that a large group of people can behave differently, most of them non-violent. A highly advanced behavioral recognition system can learn to detect suspicious behavior that can turn into violent action in a crowd.

For instance, AI-based video content analytics to predict violent behavior trigger an alarm when a large number of people in a group start pushing one another or otherwise act aggressively for a specified period of time. This allows for action before the situation erupts into a riot.

Rounding Up

Video content analytics is widely known to help businesses understand, and to some extent, predict customer behavior. When properly collected and applied, data from your business’s video surveillance system can bolster operation and help you improve your overall customer experience.

Thanks to video analytics and AI, small businesses can now gather data for better understanding of their customers, and bridge the gap between strategy, actions, and results. By identifying and responding to customer patterns, businesses can increase revenue and offer a better buying journey and enhanced customer experience. Be sure to invest in the right video content analytics solution to reap maximum benefits.