face recognition system

This project proposes a new face detection attendance system that aims at replacing outdated conventional ways of tracking attendance. Our system incorporates sophisticated computer vision and learning algorithms that look for faces and identify individuals, thus doing away with check-ins and the chances of errors. The system captures faces using an onboard camera and compares the features with pictures stored in the system for enrolled students/employs. Once an individual is identified the system automatically captures that an attendance has been taken making it available for supervisors at the same time. The system's strong architecture maintains a high accuracy level when there are changes in illumination and when only a portion of the face is visible. With the analytics, attendance records analysis is also made possible, thus enabling attending issues to be dealt with based on facts. With our Face Detection Attendance System, attendance does not only get automated, it also reduces self-service duplication and increases security while offering great delivery on time. Such a modern approach can have great consequences on many other industries in education, corporate, and healthcare

Built With

• anaconda
• dlib
• numpy
• opencv
• pandas
• python