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https://github.com/arush04/face_recognition

Face recognition script with web application interface. The code checks for faces in an image and displays the name of the people whose faces it was able to detect and store their names in a csv file in the root directory of the code.

https://github.com/arush04/face_recognition

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Face recognition script with web application interface. The code checks for faces in an image and displays the name of the people whose faces it was able to detect and store their names in a csv file in the root directory of the code.

Basic Info
  • Host: GitHub
  • Owner: Arush04
  • Language: Python
  • Default Branch: main
  • Size: 5.86 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme

README.md

FACE RECOGNITION

license last-commit repo-top-language repo-language-count


Table of Contents

Overview

This Facial Recognition Attendance System is designed to automate attendance tracking by using advanced computer vision techniques. The system captures and processes real-time images to identify individuals based on their facial features. It accurately recognizes registered users and marks their attendance without the need for manual input, making the process efficient, contactless, and error-free. Ideal for classrooms, offices, and events, this system helps streamline attendance management while ensuring security and convenience.

Project Structure

sh └── Face_Recognition/ ├── README.md └── webapp.py

Getting Started

  1. Clone the FaceRecognition repository: ```sh ❯ git clone https://github.com/Arush04/FaceRecognition ```

  2. Navigate to the project directory: sh ❯ cd Face_Recognition

  3. Install the dependencies: sh ❯ pip install -r requirements.txt

  4. Run the application using: sh ❯ python webapp.py

Owner

  • Name: Arush Sharma
  • Login: Arush04
  • Kind: user

GitHub Events

Total
  • Push event: 3
Last Year
  • Push event: 3