Cam-Cord is a real-time face recognition application that utilizes OpenCV and the face_recognition library to capture, detect, and recognize faces from live video streams. This project is designed to identify individuals by comparing detected faces against pre-stored face encodings, making it suitable for applications like surveillance, authentication, and more.
- Real-Time Face Detection: Capture and detect faces from live video streams using OpenCV.
- Face Recognition: Identify or verify faces by comparing them with stored face encodings.
- Efficient Frame Processing: Optimized for real-time processing, ensuring quick and accurate face recognition.
- Clone the repository:
git clone https://github.com/ishan-0611/Cam-Cord.git
- Install the required dependencies:
pip install -r requirements.txt
- Run the application:
python cam_cord.py
- Ensure your webcam is connected and functioning.
- Run the application to start capturing and recognizing faces.
- The recognized faces will be displayed with corresponding labels, if matched with stored encodings.
- Python
- OpenCV
- face_recognition library
- Numpy
This project is licensed under the MIT License.