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Project title: Traffic Sign Detection and Recognition In this project, our aim is to detect traffic signs using combination of traditional computer vision techniques. Four
Project title: Traffic Sign Detection and Recognition
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 predefined color ranges eg red for stop signs, yellow for caution signs
Edge Detection: Apply edge detection algorithms eg 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 eg aspect ratio, corner count to further refine potential matches and eliminate false positives based on nonstandard shapes.
Note that you should not use deep learning based techniques
There will be a bounus point if you run it in realtime and get high FPS with the same accuracy using a connected camera to a laptop
Completely AI generated projects will not get the grade AI detector will be used You can use AI in different steps.
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