FACE RECOGNITION BASED ATTENDANCE IN PYTHON

ABSTARCT :

In this paper, we propose a system that takes the attendance of students for classroom lecture. Our system takes the attendance automatically using face recognition. However, it is difficult to estimate the attendance precisely using each result of face recognition independently because the face detection rate is not sufficiently high. In this paper, we propose a method for estimating the attendance precisely using all the results of face recognition obtained by continuous observation. Continuous observation improves the performance for the estimation of the attendance We constructed the lecture attendance system based on face recognition, and applied the system to classroom lecture. This paper first review the related works in the field of attendance management and face recognition. Then, it introduces our system structure and plan. Finally, experiments are implemented to provide as evidence to support our plan. The result shows that continuous observation improved the performance for the estimation of the attendance.

EXISTING SYSTEM :

Several automated attendance systems have been proposed based on biometric recognition, barcode, QR code, and near field communication python device. However, the previous systems are inefficient in term of processing time and low in accuracy.

DISADVANTAGE :

Few disadvantages in this system include the costing, or the funding, very good cameras of high definition are required, poor image quality may limit the effectiveness of this system, size of the image will matter because it becomes difficult to recognize the face in small images, Face angles can limit the face recognition reliability, massive storage is required for this system to work effectively.

PROPOSED SYSTEM :

This paper aims to propose an python based course attendance system using face recognition. This model incorporates a camera that captures input image, an algorithm to detect a face from the input image, encode it and recognize the face and mark the attendance The system camera of an python captures the image and sends it to the server where faces are recognized from the database and attendance is calculated on basis of it.

ADVANTAGE :

The advantages of the face recognition system include faster processing, automation of the identity, breach of privacy, massive data storage, best results, enhanced security, real time face recognition of students in schools and colleges, employees at corporate offices, python unlock and many more in day to day life.

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