Smart Registration System with AI, Object Detection & Computer Vision for Attendance Installation

Before you start, make sure you have the following prerequisites installed on your system: - Python 3.6+ - setup your envinroment You can run the setup.py file using setuptools package. First, install the package using the following command:

pip install setuptools

Then, navigate to the directory containing setup.py file in your terminal and run the following command to install the dependencies:

python setup.py install

Smart Registration System with AI

The System presents a comprehensive study on the development of a Smart Registration System with AI, Object Detection & Computer Vision for Attendance. The system aims to revolutionize the traditional attendance management process in educational institutions or Conference meetings by leveraging advanced technologies. The motivation behind this system is the need for a more efficient and accurate attendance tracking system that can overcome the limitations of manual methods

Objectives

The objectives of the system are to automate the attendance process, improve accuracy through AI-based facial detection and recognition, and provide a user-friendly interface for students, administrators, and instructors. The proposed system utilizes computer vision techniques to detect and recognize students accessing the system using facial detection algorithms. It also incorporates AI algorithms to analyse and process the captured data.

Related Work

The system discusses related work in the field of multimedia registration systems, AI, object detection, and computer vision. It reviews existing literature and research, highlighting the advancements and limitations of previous systems. This background information provides a context for the proposed system and highlights its novel contributions.

System Architecture

The system architecture is detailed, explaining the various components and functionalities, including student information capture, registration, attendance tracking, and database management. The implementation details cover the technologies and tools used, such as programming languages, frameworks, and libraries. The integration of AI, object detection, and computer vision technologies is explained, showcasing the system's innovative approach.

Results and Evaluation

Results and evaluation metrics are presented to assess the system's performance, including accuracy, speed, and user satisfaction. The findings demonstrate the effectiveness of the Smart Multimedia Registration System in capturing student information, facilitating registration, managing attendance, and database management. The paper also includes a comprehensive discussion, comparing the system with existing solutions and highlighting its advantages and limitations.

Conclusion

In conclusion, the System with AI, Object Detection & Computer Vision for Attendance offers a significant advancement in attendance management. Its integration of advanced technologies provides a more accurate and efficient method for tracking student attendance. The system concludes with a call-to-action for further research and development in this field and acknowledges the individuals and organizations that contributed to the system's development.

Contributing

If you're interested in contributing to this project, please read our Contribution Guidelines for more information on how to get started.

Getting Help

If you need help with this project, please open an issue on GitHub.

Thank you for your contributions to Smart Registration System with AI, Object Detection & Computer Vision for Attendance! We appreciate your help in making our project better.