{"id":19933638,"url":"https://github.com/dhanvina/facetrackedu","last_synced_at":"2026-04-15T19:31:21.951Z","repository":{"id":150592528,"uuid":"559528598","full_name":"dhanvina/FaceTrackEDU","owner":"dhanvina","description":"This project demonstrates face detection using OpenCV, it uses a pre-trained Haar cascade classifier to detect faces in images or video streams. It provides a simple and efficient solution for identifying human faces using speech automated commands.","archived":false,"fork":false,"pushed_at":"2023-07-06T14:31:54.000Z","size":11208,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-12T01:54:25.764Z","etag":null,"topics":["attendance","face","face-detection","face-recognition","flask","opencv","opencv-python","pandas","python","spee"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dhanvina.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-10-30T12:02:10.000Z","updated_at":"2023-07-30T14:01:45.000Z","dependencies_parsed_at":"2024-11-12T23:14:22.648Z","dependency_job_id":"5262c2de-6de8-418a-88b7-3b038fb468ef","html_url":"https://github.com/dhanvina/FaceTrackEDU","commit_stats":null,"previous_names":["dhanvina/facetrackedu"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhanvina%2FFaceTrackEDU","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhanvina%2FFaceTrackEDU/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhanvina%2FFaceTrackEDU/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhanvina%2FFaceTrackEDU/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dhanvina","download_url":"https://codeload.github.com/dhanvina/FaceTrackEDU/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241361398,"owners_count":19950379,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["attendance","face","face-detection","face-recognition","flask","opencv","opencv-python","pandas","python","spee"],"created_at":"2024-11-12T23:14:20.826Z","updated_at":"2026-04-15T19:31:16.920Z","avatar_url":"https://github.com/dhanvina.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Face Recognition Attandance System\n![VisitorCount](https://profile-counter.glitch.me/face-recognition-attendance-management-system/count.svg)\n\n\n### Recognize The faces And Take Automatic Attandance. :sparkles:\nThe project has enabled different technologies and features with images and audio. It is been developed for teachers having disablities to easily use. The project is very efficent in varying weather conditions.\n\n![image](https://user-images.githubusercontent.com/47035051/211322033-583a139e-68b6-4a00-8f28-01bc632a1269.png)\n\n\n\n![GitHub](https://img.shields.io/github/license/kmhmubin/Face-Recognition-Attendance-System)\n\n## Motivation :astonished:\n----------------------------\nWe seek to provide a valuable attendance service for both teachers and students. Reduce manual process errors by provide automated and a reliable attendance system uses face recognition technology.\n\n## Features :clipboard:\n---------------------------\n* Check Camera\n* Capture Faces\n* Train Faces\n* Recognize Faces \u0026 Attendance\n\n## Screenshots :camera:\n-----------------------------------\n\n## Tech Used :computer:\n--------------------------\nBuild With - \n* Python 3\n\nModule Used -\n\nAll The Module are Latest Version.\n* OpenCV Contrib \n* Numpy\n* Pandas\n\n\nFace Recognition Algorithms -\n* Haar Cascade\n* LBPH (Local Binary Pattern Histogram)\n\nSoftware Used -\n* Pycharm\n* VS CODE \n* Git\n\n## Installation :key:\n-----------------------------------\n\n#### Download or Clone the project\n\nFirst Download or Clone the Project on Your Local Machine.To download the project from github press **Download Zip**\n\nYou can clone the project with git bash.To clone the project using git bash first open the git bash and write the following code\n```\ngit clone https://github.com/dhanvina/face-recognition-attendance-management-system.git\n```\nAfter download, Open the project using **Pycharm or VSCODE**. Then we have to create an python enviroment to run the program.\n\n#### create enviroment \nFirst open the terminal or command line in the IDE.Then write the following code.\n```\npython -m venv env\n```\nThen activate the enviroment using the code below for windows.\n```\n.\\env\\Scripts\\activate\n```\n[ *Notice:*\nIf your pc don't have virtual enviroment or pip install the follow this link.\n[How to create Virtual Enviroment](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/) ]\n\n#### Installing the packages\n--------------------------------------------------\n\nAfter creating the enviroment on your project let's install the necessary packages. \n\n\nTo install those package open the terminal or command line and paste the code from below\n\n```\npip install opencv-contrib-python\n```\n```\npip install numpy\n```\n```\npip install pandas\n```\n\n## Test Run :bicyclist:\n-----------------------\nAfter creating the enviroment and installing the packages, open the IDE terminal/command line to run the program. Using the code below.\n\n```\npy main.py\n```\n## How To Use? :pencil:\n----------------------\nIf you want to use it just follow the steps below.\n\n1. First download or clone the project\n2. Import the project to your favourit IDE\n3. Create an python enviroment\n4. Install all the packages \n5. Run the project using your IDE Run Button\n\n## Contribute :heart:\n--------------------------------------\nIf you want to contribute in this project feel free to do that.\n\n## Licence :scroll:\n---------------------------------\nMIT © [dhanvina](https://github.com/dhanvina)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdhanvina%2Ffacetrackedu","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdhanvina%2Ffacetrackedu","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdhanvina%2Ffacetrackedu/lists"}