![]() ![]() Reinforcement learning is an area of Machine Learning. As a result, the amount of time it takes and the number of human errors it makes are minimized, making it more efficient. Many institutions will profit greatly from this endeavor. After the recognition is completed, the attendance will be immediately updated in a SQLite database with the relevant information. The suggested method included identifying human faces from a webcam using the Viola-Jones technique, resizing the identified face to the desired size, and then processing the resized face using a basic Local Binary Patterns Histogram algorithm. Instead of depending on time-consuming approaches, we present a real-time Face Recognition System for tracking student attendance in class in this work. ![]() Face recognition-based attendance system is a solution to the problem of recognizing faces for the purpose of collecting attendance by utilizing face recognition technology based on high-definition monitor video and other information technology. The teacher normally checks it, although it's possible that a teacher will miss someone or some students' answers many times. When using traditional methods such as calling out roll calls or taking a student's signature, managing attendance can be a time-consuming task. At the beginning and end of each session, attendance is an important aspect of the daily classroom evaluation. ![]()
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