IOT ENABLED MULTI FACTOR AUTHENTICATION LOCK SYSTEM

Abstract

Conventional door locks are easily bypassed, posing security threats. Recent IoT advancements have led to smart door locks, but many rely on single authentication methods. This work presents an IoT-enabled multi-factor authentication door lock system, enhancing security with RFID, numeric keypad, and access control via an ESP32 microcontroller and Arduino Uno board. It requires two out of three methods: PIN, facial recognition, and RFID tag verification, unlocking within 10 seconds and re-locking in 5-6 seconds. The average success rate in face recognition with and without disturbances such as spectacles, facial hair etc., are 97% and 92% respectively. Features include robust encryption, secure communication, and fail-safe mechanisms, with a modular design for smart home integration. Thoroughly tested, the system outperforms existing solutions in accuracy and flexibility, providing enhanced security through multi-factor authentication.