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CV-Recognition

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.

About the 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.

Key Features

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

Repositories

Repository Description
Frontend User interface for the face recognition access system
Backend API server, face recognition engine, and database integration

Tech Stack

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

Team

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:

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

Team

Team Lead

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

Jay GitHub

Backend Developer

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

Connor GitHub

DevOps Engineer

This person is responsible for the deployment and maintenance of the project. Also, he contributed to the backend development and worked on facial recognition.

Adem GitHub

Data Scientist

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

Javier GitHub

Frontend Developer

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."