Automated Attendance Management Using Hybrid Approach in Image Processing

Image Processing, which is a significant field of Machine Learning and falls under the adage of Artificial Intelligence, is used worldwide to achieve face detection and recognition. Image Processing focuses on two tasks, namely the enhancement of image for our interpretation and reading image data to store, transmit, and represent image perception via machines. The project focuses on the implementation of Machine Learning and Image Processing to automate attendance management in a corporate/personal space. In the current scenario, most corporate spaces make use of biometric systems to mark attendance, which is both time-consuming and costly. Setting up a working space with the biometric system also requires an individual with professional knowledge of the same. Our primary focus is to build a robust and automated security system capable of monitoring attendance without much human interference.