ANALYSIS OF IMPLEMENTING AN ATTENDANCE MANAGEMENT SYSTEM BASED ON REAL TIME FACE RECOGNITION USING ARTIFICIAL INTELLIGENCE

This assignment gives a complete knowledge of the attendance system of real time face recognition using artificial intelligence.The attendance maintaining system is difficult process if it is done manually. The smart and automated attendance system for managing the attendance can be implemented using the various ways of biometrics techniques. Face recognition is one of them. By using this system, the issue of fake attendance and proxies can be solved. In the previous face recognition-based attendance system, there were some disadvantages like face spoofing, the intensity of light problem, and the head pose problem. Therefore, to overcome these issues, various techniques like linear binary pattern histogram, linear discriminant analysis, and Principal component analysis are used. The major steps in this system are detecting the real faces and recognising them. LBPH face recognizer is to identify the face of the person in real time. LBPH face recognizer to overcome this problem. This system compares the image of the test and the training image and determines who is and is not present. The attendance data is stored in an excel sheet that is automatically updated in the system. This smart system will be an effective way to maintain the attendance and records of students.