Safe campus: An intelligent campus video surveillance system for crowd analysis
Abdullahi Anas, Mansur Aliyu, Adamu Bashir Ismail, Muhammad Abullahi Bakale, Zaharadeen Yusuf Yeldu, Abdullahi Ruqayya Sidi, Aliyu Ahmad, Abdulmalik Aliyu · Dutse Journal of Pure and Applied Sciences · 2023
Nigerian campuses comprises of diverse culture, ethnicity and religion. Controlling these campuses is a very big deal. Cameras are installed to help security personnel in carrying out these enormous tasks. However, the installed closed circuit television [CCTV] cameras are only used for evidence sourcing rather than prevention of campus vices. With the use of appropriate technique, campus vices can be prevented thus securing the campus. In this research, an Artificial Intelligent (AI) video surveillance system was developed. The system captures, analyses video for any abnormal behaviour and alerts relevant personnel for appropriate required action. The scheme uses crowd surge a crowd analyzer for videos with vulnerability and threats. The result shows that when deployed at strategic flagged locations early campus vices are detected and reported to relevant personnel whom take appropriate actions and measures to curb escalation of the vices.