An entrance-guarding system using Raspberry Pi, permitting door access with face, voice and fingerprint recognition, with a local touch screen GUI and a secured-login web interface for remote control over the system.
Used Python Flask for setting up the server on Pi to support front-end web pages and restore visitor messages as key-value pair in local database.
Face recognition ran at 15 FPS utilizing multi-core coordination, 3X faster than usual single-core implementation.
Check out our project website: https://courses.cit.cornell.edu/ece5990/ECE5725_Fall2017_projects/final_yh772_rw564/;
Pygame, Pi-TFT, Flask, Fingerprint Sensor, Raspberry-pi, Pi-Cam
In folders "cornellfaces" and "visitorfaces", please put your own biographic photos accordingly.