Smart Door Camera with Facial Recognition Feature

The Smart Door Camera system operates as an integrated access control and health monitoring terminal powered by a Raspberry Pi 4 Model B running Raspbian and Python 3. When a visitor approaches the entryway, the connected Camera module captures live video frames. The software processes these frames using OpenCV and the face-recognition library to detect and identify human faces against a pre-registered database. Simultaneously, the MLX90614 infrared temperature sensor measures the visitor's body temperature without physical contact via thermal radiation. If a recognized face matches an authorized profile and the measured temperature falls within safe operational limits, the system triggers a successful verification workflow. To enhance user interaction and feedback, the eSpeak software package generates text-to-speech audio alerts, announcing status updates or entry instructions aloud. If the temperature exceeds safe thresholds or an unknown face is detected, the system can deny entry and provide appropriate audio prompts. Throughout this loop, the Raspberry Pi coordinates data collection from the camera and I2C-based thermal sensor, executes machine learning inference locally at the edge, and drives the software outputs.