Web Reference: This project aims to enhance public safety in environments such as buildings, industrial facilities, and forests, providing timely alerts for efficient evacuation and fire response. This system is written in Python with an OpenCV computer vision module. It uses the HSV color algorithm to detect fires. This project provides a computer vision-based technique for detecting fire and identifying hazardous fires by processing the video data generated by an ordinary camera. Nov 9, 2024 · In this blog, we’ll walk you through how to build a fire detection system using Python and computer vision.
YouTube Excerpt: Video is about how to train YOLO model on your custom dataset, in this case
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