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AUTOMATED FACIAL ATTENDANCE SYSTEM

The system utilizes the fusion of the Principal Component Analysis and the Linear Discriminant Analysis algorithm which has been used in a research study investigating the effect of change of the lighting conditions and facial expressions and face wear on the recognition rate of the fusion. The system is capable of recognizing faces with up to 98% of accuracy due to utilizing a fusion of the algorithms. The system takes advantage of the OpenCV Python library and connects to a relational database where the student's attendance records are stored.

PHOTO
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Automated facial recognition system trained with students' faces which are subsequently used for verifying attendance in real-time.
SKILLS USED TO PROJECT
Automation
SOFTWARE USED TO PROJECT
Python
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