The implementation of the contactless facial recognition access control project at the university primarily includes the following functions:

1. Contactless Access via Facial Recognition
   Utilizing facial recognition cameras for image capture and facial recognition access control systems to record and track unauthorized individuals, establish movement trajectories, and trace their origins.

2. Integration of Facial Recognition Cameras and Access Control with AI Edge Computing Servers
   Through real-time video analysis, the system detects behaviors such as unauthorized intrusion, climbing over barriers, physical altercations, and carrying weapons like knives, enabling timely alerts and notifications to security personnel.