Assignment

Project title: Traffic Sign Detection and Recognition

USE PYTHON

In this project, our aim is to detect traffic signs using combination of traditional

computer vision techniques. Four tasks are as follows:

Color Segmentation: Identify regions of interest $($ROI$)$ likely containing

traffic signs based on pre$-$defined color ranges $($e$.$g$.,$ red for stop signs,

yellow for caution signs$).$

Edge Detection: Apply edge detection algorithms $($e$.$g$.,$ Canny Edge

Detection$)$ to extract prominent edges in the ROI to better define the sign's

shape.

Template Matching: Prepare templates of common traffic signs $($scaled

and normalized for size variations$).$ Use template matching techniques to

compare the ROI's edges with the templates and identify potential

matches.

Shape Analysis: Implement simple shape analysis $($e$.$g$.,$ aspect ratio,

corner count$)$ to further refine potential matches and eliminate false

positives based on non$-$standard shapes.

Note that you should not use deep learning based techniques

There will be a bounus point if you run it in real$-$time $($and get high FPS

with the same accuracy$)$ using a connected camera to a laptop

Completely Al generated projects will not get the grade $($Al detector will be used$).$

You can use Al in different steps.

Good luck