Smart Robot For Face Recognition

The Smart Robot for Face Recognition system is built around a distributed processing architecture utilizing both a Raspberry Pi 4 Model B and an Arduino, interacting with a range of mechanical and electronic peripherals. The central processing relies on the Raspberry Pi running Python 3 alongside advanced computer vision and machine learning libraries such as OpenCV, SciPy, NumPy, Keras, and specialized face recognition modules. When a human subject enters the field of view, the Raspberry Pi Camera captures the video stream. The Python script processes these frames, executing facial detection and recognition algorithms to match features against known datasets. Once a face is identified, the system can vocally greet the individual by name utilizing the eSpeak text-to-speech engine. Simultaneously, the Raspberry Pi communicates status, operational data, or interactive feedback to two OLED display modules via I2C or SPI protocols, which are driven by software libraries like Adafruit GFX and SSD1306. To provide physical and expressive movement, servo motors are integrated into a 3D printed InMoov robot face mask or head structure, mounted securely onto a cardboard or wooden base using metallic rods and connecting wires. While the Raspberry Pi handles the high-level computational inference and audio output, lower-level hardware tasks or peripheral driving may be delegated to the Arduino via serial communication, ensuring smooth coordination between real-time mechanical positioning and complex neural network processing.