Because it helps build and maintain safe, secure settings, video surveillance is widely used across all economic sectors. The ability of surveillance technology to do more than passively monitor content has been leveraged in recent years by intelligence video content analytics to pinpoint specific actions that may help reduce hazards.
Traditional analytics, however, cannot comprehend what is going on in each particular circumstance. For example, two people who are physically near each other, often touching and pacing from foot to foot, may be fighting, dancing, or sharing a hug. Traditional analytics cannot identify their goals, making them undetectable. Let’s look at some of the most critical behaviors that are now detected by the most advanced video analytics systems.
It has previously been demonstrated that two people fighting may consider analytics to be connected to other actions for several reasons. The ability to differentiate between these actions and actual fighting—defined as at least two people striking each other—is made possible by advanced behavioral analytics. When the software solutions detect a hit, the hands move toward the other person, make contact, and then release it.
Most actions in a massive crowd are not violent. There is no denying this reality. An incredibly advanced behavioral recognition system can detect suspicious behavior that could escalate into violent action in a crowd.
For example, when a large number of people in a group begin pushing or acting aggressively for a predefined period, artificial intelligence-based video content analytics that forecast violent behavior can alert users. Before the disturbance brought on by the unrest, such an action can be taken.
Video content analytics can help businesses better analyze and forecast customer behavior. If properly gathered and shared, data from your company’s video surveillance system can enhance operations and the overall customer experience.
Small businesses can now collect customer data using video analytics and artificial intelligence to understand customer behavior better and bridge the gap between plans, actions, and results. By recognizing and responding to customer actions, businesses can boost sales, enhance the shopping experience, and improve the overall customer experience. To maximize the benefits of video content analytics, you need to invest in the right solution.
