Face Recognition Based Attendance System
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In this project the aim is, to recognise different faces from a classroom image for marking the attendance of students through it. Dlib l is used for face recognition which gives very high accuracy of recognition. ...learn more
Project status: Published/In Market
Overview / Usage
This system is made to automate the attendance system for a class and to prevent proxies. The results were very accurate when a high resolution camera is used to capture the top front view of the class. After the recognition ,the attendance automatically get updated to backend which is built on SQL Database.
Methodology / Approach
The basic part of this system is face recognition. The face recognition is achieved using DLIB which converts a face into a 128 Dimensional vector space and after comparing the euclidean distance it is able to recognise the face with very high accuracy. Few preprocessing steps are done to minimise the error.
Technologies Used
Python, Dlib, SQL Database, High resolution Camera.