by yihong1120 · MCP Server · ★ 364
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.
| Stars | 364 |
| Forks | 51 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 38.8/100 |
| Open Issues | 2 |
| Last Updated | 2026-04-09 |
| Created | 2024-01-02 |
| Platforms | mcp, python |
| Est. Tokens | ~10096k |
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Construction-Hazard-Detection is 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 con. It is categorized as a MCP Server with 364 GitHub stars.
Construction-Hazard-Detection is primarily written in Python. It covers topics such as alert-system, apis, artificial-intelligence.
You can find installation instructions and usage details in the Construction-Hazard-Detection GitHub repository at github.com/yihong1120/Construction-Hazard-Detection. The project has 364 stars and 51 forks, indicating an active community.
Construction-Hazard-Detection is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.