Automatic video based intelligent management system

A key factor of improving the quality of education is having students attend classes regularly. Traditionally students are stimulated to attend classes using attendance points which at the end of a semester constitute a part of a students final grade. However, traditionally this presents additional

Project Title

Automatic video based intelligent management system

Project Area of Specialization

Artificial Intelligence

Project Summary

A key factor of improving the quality of education is having students attend classes regularly. Traditionally students are stimulated to attend classes using attendance points which at the end of a semester constitute a part of a students final grade. However, traditionally this presents additional effort from the teacher, who must make sure to correctly mark attending students, which at the same time wastes a considerable amount of time from the teaching process. Furthermore, it can get much more complicated if one has to deal with large groups of students. This paper introduces a new automatic attendance management marking system, without any interference with the regular teaching process. The system can be used also during exam sessions or other teaching activities where attendance is obligatory. This system eliminates classical student identification such as calling student names or checking respective identification cards, which can not only interfere with the teaching process but also can be stressful for students during exam sessions.

Project Objectives

This proposed system introduces a new automatic attendance marking system, which integrates computer vision and face recognition algorithms into the process of attendance management. The system is implemented using a non-intrusive digital camera installed on a classroom, which scans the room, detects and extracts all faces from the acquired images. After faces have been extracted, they are compared with an existing database of student images and upon successful recognition, a student attendance list is generated and saved on a database. This proposed solution addresses problems such as real-time face detection on environments with multiple objects, face recognition algorithms as well as social and pedagogical issues with the applied techniques. During the practical realization of this idea, it was decided to implement machine learning algorithms, which are commonly used in the field of computer vision. The first problem was to detect face like patterns in real time images. In order to achieve that, we used the HAAR classifiers, which were additionally trained with positive images acquired from classrooms full of students. However, detecting face like patterns constitutes just a part of the problem. One must implement a face recognition algorithm which is used to positively identify a student from a database of students.

Project Implementation Method

we are making a mobile app for student and use digital Image processing and artificial intelligence.  

Benefits of the Project

Artificially intelligent and image processing, introducing a new way of attendance and its time-saving.

Reduce student queries.

Technical Details of Final Deliverable

1- UI development

2- User Profile

Final Deliverable of the Project

Software System

Type of Industry

Education , IT , Telecommunication

Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Decent Work and Economic Growth

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com