BaggageAI Computer Vision Hiring Assignment Case Study:- Image Processing
In this case study, I took threat images (knife) and implimented operations like crop, resize, blur and gray_seg (find the non-zero min-max coords of canny) . This was followed by super imposition of cropped_images on background_images (bag). We use a nested for loop in order for every threat item to be placed in every bag with correct size, angle, attribute(height and width) and offset in order to place the object correctly.
Commonly implemented in airports where in background x-ray images of baggage that gets generated after passing through a X-ray machine at airport. Threat images are the x-ray images of threats that are prohibited at airport while travelling.