📸 Attendance Management System using Computer Vision

🔎 Overview An AI-powered automated attendance system that leverages facial recognition to detect and identify individuals in real-time. It eliminates manual attendance registers, ensuring speed, accuracy, and reliability in classrooms and workplaces.

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✨ Features

• 👤 Face Detection & Recognition using OpenCV
• 📹 Real-time webcam integration
• 📊 Automated attendance logging in Excel
• ⚡ Fast, reliable, and error-free tracking

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🛠 Tech Stack

• 🐍 Python
• 👁 OpenCV
• 📂 pandas, openpyxl
• 🖼 Pillow
• 📉 matplotlib

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⚙️ Setup Instructions

Step 1: Clone the repository

git clone https://github.com/Nyx1311/Attendance-Using-CV.git
cd Attendance-Using-CV

Step 2: Create and activate a virtual environment

python -m venv venv

• On Linux/Mac:

source venv/bin/activate

• On Windows:

venv\Scripts\activate

Step 3: Install dependencies

pip install -r requirements.txt

💡 You can also create a setup.sh (for Linux/Mac) or setup.bat (for Windows) to automate all these steps.

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▶️ Usage Run the application:

python attendance.py

The system will:

• Capture faces via webcam
• Recognize registered individuals
• Save attendance automatically to an Excel file

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📊 Outcomes

• ✅ Streamlined, paperless attendance process
• ✅ Improved accuracy and efficiency
• ✅ Real-world application of Computer Vision in education