This report describes the design and implementation of automatic door unlocking system using face recognition for the purpose of increasing security and safety. Today we are facing security issues in every aspect. Instead of monitoring that through password or pins unique faces can be made use of as they are one’s biometric trait. These are innate and cannot be modified or stolen easily.

The proposed face recognition door lock security system has been developed to prevent robbery in highly secure areas like home environment with lesser power consumption and more reliable stand lone security device for both intruder detection and for door security. The project deals with the look and implementation of secure automatic door unlock by using Esp-32. Web camera for capturing the images from the video frame is operated and controlled by Arduino Uno using Esp board library to train and store human faces for recognition. In this project, we are using esp32-cam as face recognition module to capture human images and to compare with stored database images. If it matches with the authorized user, then the system will unlock the door by an electromagnetic lock. The need for facial recognition system that is fast and accurate that continuously increasing which can detect intruders and restricts all unauthorized users from highly secured areas and aids in minimizing human error.

Face recognition is one of the most secured system than biometric pattern recognition technique which is used in a large spectrum of application. The time and accuracy factor is considered about the major problem which specifies the performance of automatic face recognition in real-time environments.

Various solutions have been proposed using multicore systems. By considering the present challenge, this provides the complete architectural design and proposes an analysis for a real time face recognition system with LBPH Algorithm.   Thus, the image extracted and allowed to match with the database pictures. If the images are matched, the door unlocks mechanically. The planning of face recognition system exploitation esp32-cam will create the smaller, lighter and with lower power consumption, therefore it’s a lot of convenient than the PC-based face recognition system. Principle element analysis LBPH (Local Binary Pattern Histogram) algorithmic program is employed for the face recognition and detection method. In this algorithm it converts the image from colour to grayscale image and divides into pixels and it will be allocated in matrix form and those images will be stored in the database. If an image is detected. The developed theme is affordable, fast, and extremely reliable and provides enough flexibility to suits any environment of various systems and the level of security can be raised by using face detection.