{"id":25191882,"url":"https://github.com/nelsontanko/face-recogition-system","last_synced_at":"2026-04-09T09:33:47.561Z","repository":{"id":267443212,"uuid":"901267202","full_name":"nelsontanko/face-recogition-system","owner":"nelsontanko","description":"This is a student face recognition system for attendance taking. 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This project utilizes **OpenCV**, **face_recognition**, and **Flask** for the web interface, with **Redis** as the in-memory database.\n\n---\n\n## Table of Contents\n- [Features](#features)\n- [Technologies Used](#technologies-used)\n- [System Requirements](#system-requirements)\n- [Installation](#installation)\n  - [Cloning the Repository](#cloning-the-repository)\n  - [Installing Redis](#installing-redis)\n  - [Starting the Application](#starting-the-application)\n- [Running with Docker](#running-with-docker)\n- [Manual Redis Installation](#manual-redis-installation)\n- [Usage](#usage)\n- [Troubleshooting](#troubleshooting)\n- [License](#license)\n\n---\n\n## Features\n- Facial recognition for identifying and marking student attendance.\n- Web interface for easy management using Flask.\n- Fast performance with Redis as an in-memory database.\n- Flexible setup: supports Docker or manual Redis installation.\n\n## Technologies Used\n- **Python**\n- **OpenCV** (Computer Vision library)\n- **face_recognition** (Python library for face recognition)\n- **NumPy** (Numerical operations)\n- **Flask** (Web interface)\n- **Jinja2** (Wec template engine)\n- **Redis** (In-memory database)\n- **Docker** (Optional for Redis)\n\n## System Requirements\n- **Operating System**: Windows, macOS, or Linux\n- **Python**: Version 3.8+\n- **Redis**: In-memory database\n- **CMake**: Ensure **Desktop development with C++** is installed\n\n\u003e [How to install Desktop development with C++](https://learn.microsoft.com/en-us/cpp/ide/using-the-visual-studio-ide-for-cpp-desktop-development?view=msvc-170) \n\n---\n\n## Installation\nFollow the steps below to set up and run the Student Attendance System:\n\n### Cloning the Repository\nFirst, clone the repository:\n```bash\ngit clone https://github.com/peternelson22/face-recogition-system.git\ncd face-recogition-system\n```\n\n### Installing Dependencies\nInstall the necessary Python libraries:\n```bash\npip install -r requirements.txt\n```\n\n### Installing Redis\nYou can either run Redis using Docker (recommended) or install it manually.\n\n---\n\n## Running with Docker\nIf Docker is installed, you can start Redis using the following steps:\n```bash\ndocker-compose up\n```\n\nThe Docker setup will automatically configure Redis for you.\n\n---\n\n## Manual Redis Installation\nIf Docker is not available, you can manually install and start Redis:\n\n1. **Download Redis**:\n   - Visit the [Redis download page](https://redis.io/download).\n\n2. **Start Redis Server**:\n   - On Linux/Mac:\n     ```bash\n     redis-server\n     ```\n   - On Windows:\n     Use a compatible Redis version for Windows.\n\nEnsure Redis is running before starting the app.\n\n---\n\n## Starting the Application\nOnce Redis is running, start the application:\n```bash\npython app.py\n```\nThe application will be accessible at:\n```\nhttp://127.0.0.1:5000\n```\n\n---\n\n## Usage\n1. Open the web interface at `http://127.0.0.1:5000`.\n2. Upload student data with images.\n3. The system will recognize student faces and mark attendance automatically.\n\n---\n\n## Troubleshooting\n- **Redis not running**: Ensure Redis is started either manually or using Docker Compose.\n- **CMake Error**: Install **Desktop development with C++**.\n- **Port Conflicts**: If port `5000` is in use, change the port in `app.py`.\n\n---\n\n## License\nThis project is licensed under the MIT License.\n\n---\n\n## Contributions\nContributions are welcome! Feel free to fork the repository and create pull requests.\n\n---\n\n\nHappy coding!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnelsontanko%2Fface-recogition-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnelsontanko%2Fface-recogition-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnelsontanko%2Fface-recogition-system/lists"}