This project demonstrates real-time camera streaming, face detection, and video recording using Flask. It utilizes OpenCV to capture video frames from the camera, detect faces, and record videos when faces are detected. Flask is used to serve the video stream over a web interface.
- Python 3.x
- OpenCV
- Flask
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Clone this repository: git clone https://github.com/Astroisback/Security-Camera/
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Install the required dependencies: pip install opencv-python Flask
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Run the 'app.py' file.
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Open a web browser and navigate to
http://localhost:5000/to view the live camera stream. Note- If you wish to access the stream from internet not limited to your wifi. You can use port forwarding feature on VScode. This has nothing to do with opeing port on your router so you aee safe! You may start a pull request, I'll help you do it.
- Real-time camera streaming over a web interface.
- Date, time, and seconds displayed on the video stream.
- Face detection with bounding boxes around detected faces.
- Automatic screenshot capture of detected faces, saved in the "detected_faces" folder.
- Video recording when faces are detected, with recordings saved in the "recordings" folder.
- Adjustable frame rate for streaming and recording.
- Recording duration can be set (default is 10 seconds after the last face detection).
- Listen to Audio from the camera (In development)
detected_faces: Contains screenshots of detected faces.recordings: Contains recorded video files when faces are detected.
Contributions are welcome! Feel free to open an issue or submit a pull request. I'm constantly looking to add new feature but i need your suggestion, I'm blank what to add next.
Currently this project is on hold.