Facial recognition system for access control at application development office in central power information technology company (cpcit)

Abstract

In this project, we built and set up a complete automatic attendance system including Face Recognition module and Web Application for management, and we also built a face dataset of staffs in Application Development Office in Central Power Information Technology Company . In Face Recognition technique, facial detection and recognition was used. Face detection is used to locate the position of face region and face recognition is used for identify the information of the object who standing in front of the camera. The dataset of staffs in the class is stored and when the face of an individual staff matches with one of the faces stored in the dataset then his/her attendance is recorded. The major steps in our proposal recognition module are detecting the faces, aligning the face from cropped images, representing the face features by FaceNet model, classifying the features with Support Vector Machine. The FaceNet based on Convolutional Neural Network was used to extract representative features. The Support Vector Machine is then applied to train a recognizer