ATTENDANCE TRACKING USING COMPUTER VISION

Abstract

The Attendance Tracking Using Computer Vision system is an automated attendance-management solution that uses computer vision and face-recognition technologies to record attendance efficiently. Traditional attendance systems often require manual registers, identity cards, or biometric devices, which can consume time and require additional effort. The proposed system aims to automate the attendance process by identifying authorized individuals through captured images or video. The system uses a camera to capture images or video frames of people entering a classroom, office, laboratory, or other authorized area. A computer vision module detects faces from the captured frames and prepares them for recognition. The facerecognition module compares detected faces with previously enrolled and authorized face templates to identify the corresponding individuals. After successful identification, the system records attendance along with relevant information such as person ID, date, time, and attendance status. Duplicate entries can be prevented by applying session-based attendance rules. The system can also provide dashboards and reports showing attendance records, daily attendance counts, and historical attendance information. The proposed solution reduces the need for manual attendance marking and can improve the speed of attendance recording in suitable environments. It can be used in educational institutions, offices, training centers, and other controlled environments where authorized use and appropriate consent are available. Overall, the Attendance Tracking Using Computer Vision system provides a convenient approach to automated attendance management. Future enhancements can include liveness detection, improved recognition under different lighting conditions, mobile notifications, real-time dashboards, multilingual interfaces, and stronger privacy-preserving biometric storage.