Abstract
The modern age is marked exclusively by advancements in digital technology. Modern education is not untouched by this advancement. However, there are few systems at present, which use computational intelligence in modern education. Currently, digital technology is bounded by commercial uses. In particular, face recognition is mainly used in criminal identification, security, payment, advertising, and healthcare. This project, Interactive Attendance System For Modern Education Using Computational Intelligence, is an attempt to combine modern education with modern computing. It uses the concept of Face Recognition to identify the person and to create an attendance file. The coding is done in the Python language on a Raspberry Pi 3B+ kit with Raspbian. Image pre-processing is used to convert captured images into grayscale and to extract areas of interest, i.e., faces. Machine learning is used to train the system to recognize faces using the LBPH Face Recognizer. This system can be installed in any modern educational institute for smart attendance.
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