An RFID-based smart museum security system with real-time monitoring and intrusion detection.
Engineered a robust museum security solution integrating RFID-based entry validation, artifact protection using IR sensors, and visitor proximity detection via ultrasonic sensors. Real-time monitoring and logging were implemented using Python scripts and Google Sheets. The system controls access with servos and displays status messages on an LCD. Alerts are triggered through a buzzer for any suspicious activity, ensuring enhanced artifact safety.
Planned a secure visitor tracking system for museums. Designed the flow to verify visitor credentials and log entry/exit with minimal human involvement.
Used Arduino Uno to interface with RFID readers, IR sensors, ultrasonic sensors, buzzer, servo motor (gate), and LCD display. Ensured stable hardware communication.
Developed Python scripts to handle RFID data, validate it against Google Sheets, and decide entry permissions. Real-time logging of UID, timestamps, and visitor details to the cloud.
Simulated multiple use-cases including valid entry, fake cards, unauthorized proximity, and artifact tampering. System reliably detected and responded to suspicious activity with alerts and logging.