A Beginner’s Guide to Computer Vision (CV) deep learning (DL)

What is Computer Vision?

Computer Vision (CV) enables machines to process and understand visual data.

Example: A camera recognizing a cat in a photo

Key Components for CV

1. Acquiring an Image — Capturing using cameras.

2. Processing the Image — Enhancing quality.

3. Extracting Features — Identifying objects, edges, and patterns.

4. Making Decisions — Detecting faces, counting people, etc.

Small Code (Python with OpenCV):

import cv2
img = cv2.imread('cat.jpg')
cv2.imshow('Cat Image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()

Use in Retail: Detect products on shelves (e.g., Shopee sellers ensuring stock visibility).

End Notes: CV is the foundation for visual automation.

How to Remember: Think “CV = Computer Vision = Computers Seeing.”

How is it Related to AI?