Deep Learning Approach for Suspicious Activity Detection from Video Surveillance
Harshal Khalkar, Nikita Nikam, Saloni Titame, Manas Mali, Abhay R. Gaidhani · International Journal for Research in Applied Science and Engineering Technology · 2024
Abstract: Video surveillance is getting more important as technology improves. New systems use artificial intelligence to tell the difference between normal and suspicious behaviour in live video. Since people can be unpredictable, it's hard to know for sure if something is suspicious. This system uses deep learning to identify suspicious activity in schools, like classrooms or hallways. If the system sees something suspicious, it can alert security or the police. Here's how it works: The system breaks down the video into individual pictures, one after another. Then, it uses a special program to decide if what's happening in the pictures is suspicious or normal.