Welcome to the CV-Recognition organization! We are a team of students building a Face Recognition System for Employee Access as part of a computer vision development project.

Face Recognition System for Employee Access is a significant computer vision application designed to automate and secure employee access control using facial recognition technology.

This project showcases design and programming skills through the development of a full-stack face recognition application. Students may work individually or in groups of up to four, with marking based on personal contribution and understanding.

• Real-time face detection and recognition
• Secure employee access control
• Access logs and monitoring
• Full-stack architecture (Frontend + Backend)

• Computer Vision – Face detection and recognition models
• Frontend – Web-based UI for access management
• Backend – REST API, employee database, and recognition pipeline

This project is developed by students as part of a computer vision course project. Individual contributions are assessed separately even in group settings.

There are currently 2 teams, Tree and Roots:

• - Handles the Frontend application
• - Handles the Backend application

This person is responsible for ensuring that the project stays on track and that the team is meeting its deadlines.

Jay		GitHub

This team will work on the facial recognition, relying on the Frontend team to provide the required detection (via a screenshot).

Connor		GitHub

This person is responsible for the deployment and maintenance of the project.

Adem		GitHub

This person is responsible for the data collection and analysis of the project.

Javier		GitHub

This team will work on the facial tracking, ensuring that the camera detects the users face (based on boundary box requirements) and returns back the correct schema.

Jay		GitHub

"Bringing computer vision to life - one face at a time."