Inspiration
The inspiration behind the project of "ambulance detection in traffic" primarily stems from the need to improve emergency response times and save lives
What it does
A project focused on "ambulance detection in traffic" typically aims to create a system or application that can automatically identify and track ambulances in real-time, helping to facilitate their rapid and unobstructed movement through congested roadways
How we built it
Hardware Components: Cameras Software Components: Computer Vision and Image Processing
Challenges we ran into
real-time Detection Accuracy: Achieving high accuracy in real-time ambulance detection is challenging. Ambulances come in various shapes and sizes, and they must be accurately distinguished from other vehicles under different lighting and weather conditions.
Accomplishments that we're proud of
Lifesaving Impact: One of the most significant accomplishments is the potential to save lives by reducing response times for ambulances
What we learned
using cnn model for image detection and image processsing
What's next for
to turn the traffic signal to green when the ambulance is detected and rest of the signals to red
Built With
- pycharm
- python
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