- Team Lead: [Sarin M S] - [College Of Engineering, Chengannur]
- Member 2: [Ishaani Raj Padickal] - [College Of Engineering, Chengannur]
A web-based snail speed tracking application that uses computer vision to measure the movement of snails in real-time.
How fast do snails actually go? Nobody knew. Nobody dared to ask. And frankly, nobody cared... until we, the brave, the bold, the slightly unhinged, decided it was our sacred duty to find out.
Snailometer, A web app that measures the speed of a snail either using a webcam or you can even upload a video of a snail crawling and it will show the live speed of the snail!
For Software:
- Frontend - Html, Javascript, CSS
- Backend - Python
- Libraries - Flask, OpenCV
- Tools Used - Visual Studio Code, GitHub
For Hardware:
- a Webcam
For Software:
- The frontend is built using HTML, CSS, and JavaScript, providing a user-friendly interface.
- The backend is developed using Python and Flask, handling video uploads and processing.
- OpenCV is utilized for real-time video analysis and snail tracking.
Code Editor Python 3.11.0 pip install -r requirements.txt
Start the Flask server: python app.py
Run the application in your web browser in your localhost: http://localhost:8080
Add caption explaining what this shows
Add caption explaining what this shows
https://drive.google.com/file/d/1WheqerKrlnZMg7gl2bTsY8FGaZbNi1ik/view?usp=sharing
- [Ishaani Raj Padickal]: [Website design and Frontend]
- [Sarin M S]: [Backend development and Integration]
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