AI Model for Smoke Detection in Surveillance Images

Automatically basic detect smoke in images from surveillance cameras using basic image processing techniques with OpenCV. Ideal for early fire detection in high-risk areas like ATMs, server rooms, and bank vaults.

? Technical Summary

Approach: Traditional image processing (grayscale conversion → blur → thresholding → dilation → contour detection)

Tooling:

Python, OpenCV

Google Colab for experimentation

cv2.findContours() to locate potential smoke regions

cv2.putText() and cv2.drawContours() to highlight detection results