Artificial Intelligence based Facial Recognition Attendance System.
Artificial Intelligence based Facial Recognition Attendance System will be an automatic attendance marking system which can be installed on main gate of respective institute / organization. The system will use a combination of cameras connected to Raspberry Pi, which detect and recognize every perso
2025-06-28 16:30:18 - Adil Khan
Artificial Intelligence based Facial Recognition Attendance System.
Project Area of Specialization Electrical/Electronic EngineeringProject SummaryArtificial Intelligence based Facial Recognition Attendance System will be an automatic attendance marking system which can be installed on main gate of respective institute / organization. The system will use a combination of cameras connected to Raspberry Pi, which detect and recognize every person entering or leaving, note entrance time and exit time and mark attendance respectively. If some un-authorized person enters, the system will give an alarm and by the end of working hours, email notifications will be sent to the manager/ supervisor of the absent employee. All this process will be done in real time.
This project will be implemented using Raspberry Pi connected to a remote MySQL Server for data base. Administrator will be able to access data / check record via internet using any web browser. Face Detection and Recognition algorithm will be implemented using Python.
Project Objectives- To implement Face Detection and Recognition Algorithm
- To automate attendance process in real time.
- To check and manage attendance record online.
| The method of facial recognition captures real time image and stores it to the dedicated database. For data acquisition, it uses the embedded device called as Raspberry Pi because it has high handling limit in low cost. Our proposed system will use image processing with Viola Jones algorithm for face detection which uses modified version of “Haar Cascades” for detection. Image Processing: 1. Visualization- Observe the objects that are not visible. 2. Image sharpening and restoration- To create a better image. 3. Image retrieval- Seek for the image of interest. 4. Measurement of pattern– Measures various objects in an image. Hardware to be used will be Raspberry Pi, Integrated with IP camera, Connectivity modules and remote server. |
The method of facial recognition captures real time image and stores it to the dedicated database. For data acquisition, it uses the embedded device called as Raspberry Pi because it has high handling limit in low cost.
Our proposed system will use image processing with Viola Jones algorithm for face detection which uses modified version of “Haar Cascades” for detection.
Image Processing:
1. Visualization- Observe the objects that are not visible.
2. Image sharpening and restoration- To create a better image.
3. Image retrieval- Seek for the image of interest.
4. Measurement of pattern– Measures various objects in an image.
Hardware to be used will be Raspberry Pi, Integrated with IP camera, Connectivity modules and remote server.
Benefits of the Project| It is the era of Internet and Data Science. Working on Facial Recognition and Artificial Intelligence will enable us to learn and work on internationally up to dated technologies using in industrial and consumer applications. This proposed system will also replace manual attendance system currently being used all over Pakistan in schools and colleges. Once a functional prototype is ready, the system will be ready to be commercialized. |
It is the era of Internet and Data Science. Working on Facial Recognition and Artificial Intelligence will enable us to learn and work on internationally up to dated technologies using in industrial and consumer applications. This proposed system will also replace manual attendance system currently being used all over Pakistan in schools and colleges. Once a functional prototype is ready, the system will be ready to be commercialized.
Technical Details of Final Deliverable| Face detection. |
| Facial recognition. |
| Attendance database creation. |
| Successful management of attendance marking. |
| MySQL Data Base for record keeping. |
| Remote and Secure access of Database using internet |
Face detection.
Facial recognition.
Attendance database creation.
Successful management of attendance marking.
MySQL Data Base for record keeping.
Remote and Secure access of Database using internet
Final Deliverable of the Project HW/SW integrated systemCore Industry SecurityOther Industries IT , Others Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT), OthersSustainable Development Goals Decent Work and Economic Growth, Industry, Innovation and InfrastructureRequired Resources| It is the era of Internet and Data Science. Working on Facial Recognition and Artificial Intelligence will enable us to learn and work on internationally up to dated technologies using in industrial and consumer applications. This proposed system will also replace manual attendance system currently being used all over Pakistan in schools and colleges. Once a functional prototype is ready, the system will be ready to be commercialized. |