Arduino Based Real-Time Face Recognition And Tracking System

People must remember more passwords and carry more cards these days, as security becomes more important every day. However, such implementations are becoming less safe and feasible, resulting in a surge in interest in biometric systems techniques. Biometrics systems are those that record the physical characteristics of persons in an electronic environment and use that information to recognize them when needed. It works on the idea of identifying a person's physical traits that he cannot change and are distinguishable from others. The designed system aimed to successfully achieve face recognition through real- time detection, comparing the result with pre-recorded face images and tracking the human's face using a webcam- based system. The system accuracy has been tested in different cases; based on the detection distance, person's appearance variation, multi-angle posing and multi-people. The system successfully implements face recognition, detection, and tracking with a satisfactory accuracy of 93%.