https://github.com/shukur-alom/attendance-by-face

https://github.com/shukur-alom/attendance-by-face

ai ai-models artificial-intelligence attendance-system human-detection keras keras-tensorflow tensorflow2

Last synced: 26 days ago
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• Host: GitHub
• URL: https://github.com/shukur-alom/attendance-by-face
• Owner: shukur-alom
• Created: 2021-06-08T19:25:00.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2023-10-19T18:15:42.000Z (about 1 year ago)
• Last Synced: 2024-04-18T07:19:04.947Z (7 months ago)
• Topics: ai, ai-models, artificial-intelligence, attendance-system, human-detection, keras, keras-tensorflow, tensorflow2
• Language: Python
• Homepage:
• Size: 7.45 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Face Detection and Data Addition System

This system is designed to detect faces in video, check if they match a predefined dataset, and add corresponding data to a CSV file. To use the system, follow these steps:

## Prerequisites

- Python

- Install the required libraries by running:

```

  pip install -r requirements.txt

```

## Image Naming Convention

Ensure your image files follow this naming convention: "Name Number.jpg" (e.g., "Shukur 1.jpg").

1. Run train_model.py to train the face detection model:

```

python train_model.py

```

2. Run main_work.py to detect faces, check for matches in the dataset, and add data to the CSV file:

   

```

python main_work.py

```

The system will update the CSV file with corresponding data if a match is found.