Integration of Facial Recognition and Facemask Detection for Enhanced Access Control Systems: A Post-epidemic Solution

This project aimed to enhance existing facemask identification technology by incorporating forward-compatible features, particularly focusing on facial recognition. Utilizing TensorFlow Lite, a model was developed and trained on 5092 photos, integrated into a Python program on a Raspberry Pi 4. The system authenticates users using the National Registration Card Number (NRC) and employs facial recognition before transitioning to the facemask detection module. Access is granted only to those complying with facemask rules. The API linkage enables real-time monitoring, reporting, and user access configuration. The system addresses contact tracing, records instances of mask removal, and is adaptable beyond pandemic contexts. With applications in various settings, it enhances security and access control, making it valuable for post-pandemic access control systems.