A Smart Lock with AI and IoT interfacing in CEng Faculty in RTU Campus
CEng Faculty at RTU Pasig Campus implemented a Smart Locker System with AI and IoT to enhance security and convenience. The system uses facial recognition to ensure authorized access and allows for real-time monitoring and tracking of locker usage. Physical keys are not needed, and the system includes a blinking-based liveness check to confirm the user's human presence.
Client: React, Material UI, PyQT5, Pytorch, Dlib
Server: Firebase,NodeJS