The objective is to design a Raspberry Pi–based bank locker system with face recognition, fingerprint scanning, and OTP verification, ensuring multi-level security and protection of valuable assets.
This project presents an AI-powered receptionist robot using Raspberry Pi, a web camera, DC motors, motor driver, speaker, and Bluetooth module. The system detects and recognizes people in real time using the camera and image processing techniques. When a person is identified, the robot activates a speaker to play a welcome message, creating an automated reception experience. The system provides a low-cost and intelligent solution for smart reception services in offices and institutions.
Keywords: Raspberry Pi, Facial Recognition, AI Robot, Voice Interaction, Smart Receptionist.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
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