FACE RECOGNITION BASED ATTENDANCE SYSTEM
Description
Automatic face recognition (AFR) technologies have made many improvements within the changing world. Smart Attendance using Real-Time Face Recognition may be a real-world solution which comes with day to day activities of handling student attendance system. Face recognition-based attendance system may be a process of recognizing the scholars face for taking attendance by using face biometrics supported high-definition monitor video and other information technology. during this face recognition project, a ADP system are ready to find and recognize human faces fast and precisely in images or videos that are being captured through a surveillance camera. Numerous algorithms and techniques are developed for improving the performance of face recognition but the concept to be implemented here is Deep Learning. It helps in conversion of the frames of the video into images, so that the face of the student can be easily recognized for their attendance so that the attendance database can be easily reflected automatically. Index Terms - face recognition, machine learning Classifiers, attendance system.
Files
IJET-V8I3P27.pdf
Files
(1.2 MB)
Name | Size | Download all |
---|---|---|
md5:5352b5d51bb6564862d566554a60b7c0
|
1.2 MB | Preview Download |