Skip to content
#

hazard-detection

Here are 21 public repositories matching this topic...

An AI-driven solution for enhancing safety at construction sites. Utilises YOLOv8 for object detection to identify overhead hazards like heavy loads and steel pipes. Alerts are triggered if personnel are detected beneath these hazards. Dataset sourced from Taiwan's construction industry.

  • Updated May 16, 2024
  • Python

The research mainly aims to identify through classification algorithms if one day, based on its climatic features and concentrations of harmful elements in the air, it turns out to be harmful (or not) to the health of citizens in the Milan metropolis. A second prediction model was adopted to predict daily mean PM2.5 values.

  • Updated Mar 4, 2022
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the hazard-detection topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the hazard-detection topic, visit your repo's landing page and select "manage topics."

Learn more