The Face Recognition Lock System for Elevators using Deep Learning and IoT redefines access control with cutting-edge technology. By leveraging advanced facial recognition powered by deep learning, this system ensures that only authorized individuals can access specific floors. The core hardware includes an ESP32 CAM module for real-time face detection and recognition, a relay module to control a solenoid lock, and auxiliary components like LEDs and a 7805 voltage regulator for seamless operation. The system captures live video frames, processes them using deep learning algorithms for accurate face identification, and compares the results against a secure pre-stored database. Upon a successful match, the relay triggers, temporarily unlocking the elevator for access. In case of no match, the system denies access and resets automatically. The IoT integration facilitates remote monitoring, database updates, and scalability, ensuring the system stays adaptive to evolving needs. Designed with practicality and simplicity in mind, the system utilizes affordable, easily accessible components and intuitive workflows. This solution offers a secure, efficient, and user-friendly method for managing elevator access, making it ideal for residential complexes, corporate offices, and high-security environments.

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Face Recognition Lock System in Lift Using IoT

  • Aniruddha Sen,
  • Pritam Baidya,
  • Shwon Ghosh,
  • Atanu Majumdar,
  • Prianka Dey,
  • Sagarika Chowdhury,
  • Swarnali Daw,
  • Ratul Chowdhury

摘要

The Face Recognition Lock System for Elevators using Deep Learning and IoT redefines access control with cutting-edge technology. By leveraging advanced facial recognition powered by deep learning, this system ensures that only authorized individuals can access specific floors. The core hardware includes an ESP32 CAM module for real-time face detection and recognition, a relay module to control a solenoid lock, and auxiliary components like LEDs and a 7805 voltage regulator for seamless operation. The system captures live video frames, processes them using deep learning algorithms for accurate face identification, and compares the results against a secure pre-stored database. Upon a successful match, the relay triggers, temporarily unlocking the elevator for access. In case of no match, the system denies access and resets automatically. The IoT integration facilitates remote monitoring, database updates, and scalability, ensuring the system stays adaptive to evolving needs. Designed with practicality and simplicity in mind, the system utilizes affordable, easily accessible components and intuitive workflows. This solution offers a secure, efficient, and user-friendly method for managing elevator access, making it ideal for residential complexes, corporate offices, and high-security environments.