Developed a prototype for automated ID card data extraction through a web camera. This project leverages advanced OCR technologies and real-time image processing to efficiently capture, authenticate, and interpret personal information from ID cards, streamlining attendance management with high accuracy and user-friendly features.
Overview:
The ID Card Detector Tool is designed to streamline and automate the process of tracking the in-time and out-time of individuals using their ID cards. This application leverages advanced image recognition technology to detect and process ID cards, ensuring accurate and efficient attendance management.
**Features:**
1. **ID Card Detection:**
- Utilizes high-precision image recognition algorithms to detect and authenticate ID cards.
- Supports various types of ID cards to cater to a diverse range of users.
2. **In-Time and Out-Time Calculation:**
- Automatically records the in-time when an ID card is scanned upon entry.
- Similarly, records the out-time when the ID card is scanned upon exit.
- Provides real-time tracking and updates of attendance records.
3. **User Interface:**
- Simple and intuitive interface with three main sections: Home, Detector, and Summary.
- The Home section provides an overview and instructions for using the tool.
- The Detector section is where the ID card scanning and processing take place.
- The Summary section presents detailed reports and analytics on attendance.
To Run this script
use the following command in terminal
streamlit run Home.py