Human Activity Recognition is a project about developing a system that constantly monitors and analyzes footage of security cameras that are commonly pre-installed at all the stores. Secondly, it checks for any suspicious activities and also keeps on analyzing the behavior of each customer. If any suspicious activity is detected, the software instantly recognizes and reports to the supervisor, who can review the footage, and act on it.
The primary objective of human activity recognition is the prevention of potential theft; to prevent any type of confusion the target is approached and asked if they need help, which leads to a good chance that the theft never happens.
The secondary objective is the opportunity, it’s huge! As the retailers become more open to embracing technology to meet consumer needs, as well as improve bottom lines. This technology can prevent losses to a certain point. Also, this technology will prevent internal frauds.