The use of illegal vehicles, such as PMDs, is not properly monitored which is dangerous for pedestrians.
What it does
Detect a variety of vehicles based on footage from CCTVs across Singapore.
How we built it
The core algorithm is Haar Cascade Classifier which is taken from the OpenCV library. The UI was created using Tkinter and web browser layouts were built by html5, js, google maps API, pandas, and matplotlib.
Challenges we ran into
Accomplishments that we're proud of
Made the detection accurate to a certain extent and managed to build a complete UI. Applied Data Science principles for the data visualization tools like graph and heat map.
What we learned
Basic Computer Vision algorithm to detect objects using Haar Cascade Classifier. Integrate a Google Maps API into our application.
What's next for Vehicle Radar and Data Visualisation
Make the detection more robust by obtaining more data for the Haar Cascade Classifier.