Face ATT: A face recognition attendance system

Abstract

With the advancement of modern technologies areas related to robotics and computer vision, real time image processing has become a major technology under consideration. So here a try has been made for a novel approach for capturing images from the Web Camera in real time environment and process them as we are required. This project portrays a machine learning approach for face recognition to accomplish this process very quick with high identification rates using OpenCV. Here in this project depicts a basic and simple equipment execution of face location framework utilizing Web Camera. The framework is modified utilizing Python programming language. The destinations of the face recognition are to recognize appearances and its spatial area in any pictures or recordings. The proposed framework distinguishes the faces present in a grey scale and colored image. This project center around usage of face detection framework for human recognizable proof in light of OpenCV library with python. Here in this project the idea of identification has been built up by composing distinguishable code for dataset generator, trainer and indicator. Effectiveness of the framework is examined by ascertaining the Face recognition rate for every one of the databases. The outcomes uncover that the proposed framework can be utilized for face detection even from low quality pictures and shows incredible execution level. At last, the data that will be shown alongside recognized photograph has been put away on database. This concept has a higher scope on security and surveillance projects and various operation. The main purpose of this project is to build a face recognition-based attendance monitoring system for educational institution to enhance and upgrade the current attendance system into more efficient and effective as compared to before. The current old system has a lot of ambiguity that caused inaccurate and inefficient of attendance taking. Many problems arise when the authority is unable to enforce the regulation that exist in the old system. The technology working behind will be the face recognition system. The human face is one of the natural traits that can uniquely identify an individual. Therefore, it is used to trace identity as the possibilities for a face to deviate or being duplicated is low. In this project, face databases will be created to pump data into the recognizer algorithm. Then, during the attendance taking session, faces will be compared against the database to seek for identity. When an individual is identified, its attendance will be taken down automatically saving necessary information into a excel sheet. At the end of the day, the excel sheet containing attendance information regarding all individuals are mailed to the respective faculty.