- Team Lead: Anandhu S Nair - CET
- Member 2: Abhinav K P - CET
It finds the speed of fan by giving a video of a rotating fan.
Measuring the rotational speed (RPM) of a fan usually requires physical tachometers or specialized sensors, which can be expensive and impractical for everyday use. In many cases, users want a non-contact way to measure fan speed using just a camera or smartphone, without installing any hardware.
This project uses computer vision with OpenCV and the Structural Similarity Index (SSIM) to detect when the fan blades return to the same position in a video. By calculating the time between these repeated positions, the program estimates the fan's rotations per minute (RPM) accurately — all from a simple video, without any extra equipment.
For Software:
- Languages:Python
- Frameworks used:None
- Libraries used: opencv-python – for video processing numpy – for numerical operations scikit-image – for SSIM similarity detection matplotlib (optional) – for plotting result
- Tools used:VS Code,GitHub
For Hardware:
- Main components: Standard table fan or ceiling fan ,Webcam or smartphone camera
- Specifications: Camera resolution ≥ 720p recommended
- Tools required: Camera
For Software:
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- [Name 1]: [Specific contributions]
- [Name 2]: [Specific contributions]
- [Name 3]: [Specific contributions]
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