Development of face recognition door lock using ESP32 for home security

Lowell, Kevin Bin Lian (2022) Development of face recognition door lock using ESP32 for home security. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Security concerns are an integral aspect of daily living. Identification of individuals entering a room is a crucial element in the security chain. This article presents the prototype of a facial recognition-based room access control system. The system consists of a camera for face detection and a solenoid door lock for room entry. Every person recognized by the camera will be compared to the system's database to ensure compliance. If the user has authorization, the solenoid door lock will unlock, and the user will be able to enter the room. If the user is not identified, the solenoid lock will remain locked. ESP32-CAM is the primary control circuit for this system. In this research, we apply the Multi-Task Cascaded Convolutional Neural Networks face detection algorithm as well in an image analysis of a user's face to achieve highly accurate face detection.

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