yihong1120/Construction-Hazard-Detection
Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.
This system helps construction site managers and safety officers monitor job sites using existing camera feeds. It automatically identifies safety hazards like workers without helmets or vests, people too close to machinery, or individuals in restricted zones. The system takes video streams as input and outputs real-time alerts and images directly to your preferred messaging app, helping you respond quickly to potential dangers.
353 stars.
Use this if you need an automated way to continuously monitor construction site safety, identify violations, and receive instant notifications for proactive risk management.
Not ideal if you require a system that generates complex safety reports or integrates deeply with existing enterprise-level safety management platforms.
Stars
353
Forks
46
Language
Python
License
AGPL-3.0
Category
Last pushed
Feb 01, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/yihong1120/Construction-Hazard-Detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
Ank-Cha/Social-Distancing-Analyser-COVID-19
A social distancing analyzer AI tool to regulate social distancing protocol using video...
wujixiu/helmet-detection
Helmet Detection on Construction Sites
Rishit-dagli/CPPE-Dataset
Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object...
biswadeep-roy/Safety-Detection-YOLOv8
It's a cutting-edge object detection model, to enhance safety measures by identifying and...
nosterdream/hard-hat-detection
YOLOv8 model for detection hard hats on people