Designing and Implementing a System for Automation of E-Yantra Lab Using Iot and Computer Vision

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Authors: Rohan Vaidya, Aryan Narde, Himanshu fanibhare, jay kohle, Piyush khonde,Abhya Sharma, Prathmesh Siddhamsittiwar

DOI : 10.46335/IJIES.2024.9.8.1

Abstract - A face recognition attendance system uses facial biometrics based on monitor camera image capture to identify faces while recording attendance. the CPU (central processing unit) will be able to locate and recognize human faces as part of the smart attendance system. The suggested solution uses face recognition to keep track of attendance. The attendance is updated with the appropriate student’s name, date and time. The recognized students are recorded as present.

In recent years, computer vision has concentrated more on developing methods formonitoring humans, comprehending their appearance, actions, and behaviour, offering sophisticated user interfaces for communicating with humans, and developing models for diverse uses. They need techniques for identifying persons in a given input image or video in order for the system to work. Recognizing the moving humans is reliably for properly identified. This technique will assist in reducing high electricity and eliminating wasteful electricity use. The suggested approach operates quickly, precisely, and works for both the simultaneous detection of persons and facial recognition. Such a device would be capable of offering secure laboratory monitoring