Edu face track a real time attendance management framework using facial biometric with web camera
Objective
The objective of the Edu Face Track system is to develop a real-time, contactless attendance management framework using facial biometric technology. The system uses a Raspberry Pi and USB web camera to automatically recognize faces and record attendance accurately. It also enhances security by detecting unauthorized persons and sending alerts through GSM notifications and buzzer indications.
Abstract
This project presents Edu Face Track, a real-time attendance management framework that uses facial biometrics to automate the attendance process. A Raspberry Pi serves as the controller, with a USB web camera used to capture and verify facial data. If the face is recognized, attendance is automatically recorded, while unauthorized access or unrecognized individuals trigger a message alert. The MLX90614 temperature sensor captures temperature readings during dataset preparation, which are stored in an Excel sheet for reference. A buzzer provides sound alerts in abnormal conditions, and a GSM module is used to send notifications when issues arise. The system ensures secure, contactless, and reliable attendance monitoring for educational institutions.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Hardware Components:
- Raspberry Pi
- Memory Card
- USB Web Camera
- MLX90614 Temperature Sensor
- Buzzer
- GSM Module
- Power Supply
Software Components:
- Raspbian OS
- Python
Learning Outcomes
- Understand Raspberry Pi architecture and GPIO configuration
- Learn how to install and configure Raspbian OS and required Python libraries
- Interface analog sensors with Raspberry Pi using MCP3008 ADC
- Implement image classification using Artificial Neural Networks
- Develop real-time skin analysis using USB camera input
- Build automated health screening systems with display and alert features
- Integrate temperature and heartbeat monitoring in diagnostic systems
- Analyze and interpret classification output for healthcare applications
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software’s, Tools, Hardware components, etc.,)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the Project and Output testing
- Practical exposure to:
- Hardware and software tools.
- Solution providing for real time problems.
- Working with team/ individual.
- Work on Creative ideas.
- Project development Skills:
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginary skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
Paper Publishing
Request Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
