In the 21st century, everything around us has become depends upon technology to make our life much easier. Daily tasks are continuously becoming computerized. Nowadays more people prefer to do their work electronically. To the best of our knowledge, the process of recording students? attendance in s
Face Recognition Attendance System
In the 21st century, everything around us has become depends upon technology to make our life much easier. Daily tasks are continuously becoming computerized. Nowadays more people prefer to do their work electronically. To the best of our knowledge, the process of recording students’ attendance in some universities is still manual. Some lecturers go through manual attendance sheets and signed papers to record attendance. This is slow, inefficient and time consuming. The main objective of this project is to offer system that simplify and automate the process of recording and tracking students’ attendance through face recognition technology. It is biometric technology to identify or verify a person from a digital image or surveillance video. Face recognition is widely used nowadays in different areas such as universities, banks, airports, and offices. We will use preprocessing techniques to detect, recognize and verify the captured faces like Eigenfaces method. We aim to provide a system that will make the attendance process faster and more precisely.
In this project we aim to build an Attendance marking system with the help of face recognition owing to the difficulty in the manual as well as other traditional means of attendance system. Our primary goal is to help the lecturers, improve and organize the process of track and manage student attendance and absenteeism. Additionally, we seek to: Provides a valuable attendance service for both teachers and students. Reduce manual process errors by provide automated and a reliable attendance system uses face recognition technology. Increase privacy and security which student cannot presenting himself or his friend while they are not. Produce monthly reports for lecturers.
The first step is for the system to collect physical or behavioral samples in predetermined conditions and during a stated period of time. Extraction Then, all this gathered data should be extracted from the samples to create templates based on them. Comparison After the extraction, collected data is compared with the existing templates. Matching The final stage of face detection technology is to make a decision whether the face’s features of a new sample are matching with the one from a facial database or not. It usually takes just seconds. The student whose face are recognised are marked as present and the results are transfered to an databade sheet automatically.
Taking and tracking students’ attendance manually, losing attendance sheets, dishonesty, wasted time and high error scales are problems facing the lecturers use the existing attendance system. It is a hard process, take time and cause a lot of paper-based work. As a result, in order to solve these problems and avoid errors we suggest to computerize this process by providing a system that record and manage students’ attendance automatically without needing to lecturers’ interference.
• Provides a valuable attendance service for both teachers and students. • Reduce manual process errors by provide automated and a reliable attendance system uses face recognition technology. • Increase privacy and security which student cannot presenting himself or his friend while they are not. • Produce monthly reports for lecturers.
Technical Requirements: 1. Hardware Requirements: A Standalone Computer High quality camera must be positioned in the class room to obtain the snapshots Secondary memory to store all the images and database. 2. Software Requirements SQL for database C# Windows 8 or higher Functional Requirements: System functional requirement describes activities and services that must provide. User must be able to manage student records. Only authorized user must be able to use the system. System must be attached to webcam and face recognition should be smooth. The administrator or the person who will be given the access to the system must login into system before using it. The information must be entered and managed properly.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Face Recognition Camera(High Resolution) | Equipment | 2 | 27200 | 54400 |
| Total in (Rs) | 54400 |
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