Overview

Amity University Uttar Pradesh has developed and implemented a face recognition system that has significantly enhanced campus security and convenience. The system is a comprehensive face recognition system which is implemented across its campus, which is one of the first of its kind in India. The system is seamlessly linked to the attendance of faculty, staff, and students, and is also being utilized for payroll management of faculty and online admit card generation of students for examinations.

Conception and Development

The face recognition system was conceived and developed by a team of researchers and university IT Team at Amity University Uttar Pradesh. The team was motivated by the need to improve campus security and convenience, and to streamline and enhance the efficiency of administrative processes. The system was developed using a combination of hardware and software by inhouse team of the university. The hardware includes face recognition readers that are installed with access control systems at all peripheral gates of the campus. The software includes facial recognition algorithms that are used to identify individuals. examinations.

System Overview

The face recognition system consists of a network of face recognition devices that are installed along with access control devices on all entry gates of the campus as well as all building blocks throughout the campus.

The face recognition system compares the images to a database of known faces. The database includes the faces of all faculty, staff, and students. If the software finds a match, it identifies the person and records their presence. At the entry gates once the system identifies the person it allows the turnstile gates to automatically open. The gates are operated in such way that only one person could enter the campus in one go.

Benefits

The face recognition system has had several benefits for Amity University Uttar Pradesh

Improved campus security

The face recognition system has helped to improve campus security in several ways. The system can identify unauthorized individuals trying to enter the campus, deter crime, and make it easier for security personnel to identify authorized students, faculty, and staff. It has also eliminated the need to check physical ID cards every time when someone enters the campus, which has improved the efficiency of the security team and prevented the use of fake or cloned ID cards. It allows security personnel to identify authorized students, faculty, and staff members quickly and easily. This has made it impossible for unauthorized individuals to gain access to campus. A security guard at the main entrance of the campus sees a person approaching who is not on the list of authorized individuals. The face recognition system immediately identifies the person as a trespasser, and the guard can intervene before the person can enter campus. This system has also streamlined the entry of the student at the hostels. Face recognition systems in hostels allow authorized students to enter quickly and easily, without having to wait in line to show their ID cards to a security guard.

Increased convenience

Students, faculty, and staff can now access campus, buildings, and services without having to carry ID cards. The data from face recognition readers is fed into the Amizone (Amity’s intranet) and ERP system, which is used for attendance management and payroll processing. Face recognition entry data for students is integrated with the online attendance system of each of the course faculty member, making it easier to mark attendance and identify students who are not on campus as the student who is not in campus is shown with different colour. This eliminates the possibility of human error. The face recognition system automatically identifies the students who are present, and the faculty member can simply mark their attendance with a single click. Face recognition systems on campus prevent proxy attendance, where one student marks attendance on behalf of another student who is not in the campus. This information can then be used to generate reports, such as class attendance reports and payroll reports. This has saved time and improved the efficiency of the university's administrative staff.

Streamlined administrative processes

Students, faculty, and staff can now access campus, buildings, and services without having to carry ID cards. The data from face recognition readers is fed into the Amizone (Amity’s intranet) and ERP system, which is used for attendance management and payroll processing. Face recognition entry data for students is integrated with the online attendance system of each of the course faculty member, making it easier to mark attendance and identify students who are not on campus as the student who is not in campus is shown with different colour. This eliminates the possibility of human error. The face recognition system automatically identifies the students who are present, and the faculty member can simply mark their attendance with a single click. Face recognition systems on campus prevent proxy attendance, where one student marks attendance on behalf of another student who is not in the campus. This information can then be used to generate reports, such as class attendance reports and payroll reports. This has saved time and improved the efficiency of the university's administrative staff.

Innovative Use of Technology

The face recognition system at Amity University Uttar Pradesh is an innovative use of technology to improve a university's operations and outcomes across its core functions. The system is seamlessly linked to the attendance of faculty, staff, and students, and is also being utilized for payroll management of faculty and online admit card generation of students for examinations.

The face recognition system at Amity University Uttar Pradesh is highly secure. All facial images are encrypted and stored on secure servers. The system is also subject to strict privacy controls. Only authorized personnel have access to facial images, and images are deleted after a certain period.

Innovation

The face recognition system at Amity University Uttar Pradesh is innovative in several ways. First, it is one of the most comprehensive and integrated face recognition systems implemented at any university in India. The system includes over 100 face recognition readers.

Second, the system is seamlessly linked to the university's existing attendance and payroll systems. This allows for automatic attendance tracking and payroll processing, which saves time and resources for both faculty and staff.

The system is an example of how technology can be leveraged to improve the lives of students, faculty, and staff.

Impact

The face recognition system at Amity University Uttar Pradesh is a groundbreaking example of how technology can be used to improve campus security, convenience, and efficiency.

The face recognition system at Amity University Uttar Pradesh has had a significant impact on campus security, convenience, and efficiency. The system has helped to reduce the number of security incidents on campus and has also made it easier and faster for faculty, staff, and students to access campus facilities and services.

For example, the system has made it possible for students to enter the campus, hostel blocks and libraries simply by swiping their faces. This has eliminated the need for students to carry identity cards.

The system has also had a positive impact on faculty and staff. For example, faculty can now automatically track their attendance simply by swiping their faces at the beginning and end of each day. This has saved faculty time and effort and has also improved the accuracy of attendance records.

Conclusion

Amity University Uttar Pradesh is committed to using technology to improve the experience of its students, faculty, and staff. The face recognition system is just one example of the university's innovative approach to technology.

The system has been well-received by the university community. Students, faculty, and staff appreciate the convenience and security that the system offers. The system has also helped to reduce the workload on administrative staff.

The face recognition system at Amity University Uttar Pradesh is a model for other universities and institutions that are looking to improve campus security and convenience, and to streamline administrative processes. The system is innovative and effective, and it has had a significant positive impact on the university's operations and outcomes.