Because it helps build and maintain safe, secure settings, video surveillance is widely used across all economic sectors. To identify specific actions that can help lower hazards, intelligent video content analytics has recently capitalized on surveillance technology’s ability to do more than merely passively observe content.
Traditional analytics, on the other hand, cannot understand what is happening in every particular circumstance. For example, two people who are physically near each other, often touching and pacing from foot to foot, may be hugging, dancing, or fighting. Because they cannot be identified, their goals cannot be detected with standard analytics. Let’s look at some of the most critical behaviors that are currently detectable by the most advanced video analytics systems.
Two fighting people could think analytics are connected to other actions for a variety of reasons. The ability to differentiate between these actions and actual fighting—defined as at least two people striking one another—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.
When a large number of people are present, most possible actions are nonviolent. There is no denying this reality. A very advanced behavioral recognition system can detect suspicious behavior that may escalate into violent action in a crowd.
For instance, artificial intelligence-based video content analytics can alert consumers to anticipate violent conduct when a large group of people pushes or acts aggressively for a sustained period. Before the disturbance brought on by the unrest, such an action can be taken.
With video content analytics, businesses can better track and forecast customer behavior. If appropriately gathered and shared with others, 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 customers’ actions, businesses can boost revenue, make customer purchases more enjoyable, and improve the overall customer experience. To maximize the benefits of video content analytics, you need to invest in the right solution.
