Face Recognition Examination Attendance Using NVIDIA Jetson Orin Nano with Face Detection and Face Distance Matching Process, Wireless Student Request Button, Node-RED Processing Request Push Button, Display Live Monitoring, Web-Based System, and MySQL Database
Specifications
- Code
- RA2601
- Department
- DKR
- Technology
- Jetson Orin Nano · NVIDIA Jetson · Node-RED · MySQL · Face recognition
- Theme
- AI & Computer Vision · Education & Society
- Student
- Umair Mirza bin Zamzuri
- Supervisor
- Azlin binti Ramli
Objectives
To develop a student examination attendance system using face recognition. 2. To design a Node-RED, website, and MySQL database system for managing and storing information. 3. To provide wireless push buttons for candidate requests.
Scope of project
Face detection: camera-based face recognition at the examination entrance. Detection capacity: designed for five candidates at a time during attendance registration. Detection distance: limited to the effective operating distance of the camera. Attendance management: records registered students assigned to the selected examination session. Wireless push buttons: two request buttons are provided at each candidate table, for Help and Toilet requests. Web monitoring: invigilators access attendance and candidate requests through the web interface using a connected device.
Project description
The Face Recognition-Based Examination Attendance Monitoring System uses an NVIDIA Jetson Orin Nano and a camera to identify registered students and record their examination attendance. The system displays attendance according to examination sessions and stores information in a MySQL database. Additionally, ESP32 wireless push buttons allow candidates to submit Help or Toilet requests. Node-RED processes these requests, while invigilators can monitor and approve them through the website. The system aims to improve attendance management and support a more organised examination environment.