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Construction-Hazard-Detection MCP Server

yihong1120/Construction-Hazard-Detection

Score: 88.8 → 0% Rank #440 MCP Server
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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.

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Overview

yihong1120/Construction-Hazard-Detection is a Python tool licensed under AGPL-3.0. 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. Topics: alert-system, computer-vision, data-annotation, deep-learning, hazard-detection, image-processing, machine-learning, object-detection, post-processing, hdbscan, artificial-intelligence, clustering, restful-api, nginx, apis, fastapi, mcp, fastmcp, yolo26.

Ranked #440 out of 24846 indexed tools.

In the top 2% of all indexed tools.

Ecosystem

Python AGPL-3.0
alert-systemcomputer-visiondata-annotationdeep-learninghazard-detectionimage-processingmachine-learningobject-detectionpost-processinghdbscanartificial-intelligenceclusteringrestful-apinginxapisfastapimcpfastmcpyolo26

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 348

348 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 100%

7/7 issues closed → responsive maintainer

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 45
Description Detailed
License AGPL-3.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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Matched Queries

topic:mcp

From the README

🇬🇧 [English](./README.md) | 🇹🇼 [繁體中文](./README-zh-tw.md)

# Construction Hazard Detection

<div align="center">
   <a href="examples/YOLO_server_api">Server API</a> |
   <a href="examples/local_notification_server">FCM Notification Server</a> |
   <a href="examples/violation_records">Violation Records Server</a> |
   <a href="examples/bff">Web BFF</a> |
   <a href="https://github.com/yihong1120/visionnaire-flutter">Flutter App</a> |
   <a href="examples/db_management">Data Management Server</a> |
   <a href="examples/streaming_web">Streaming Web</a> |
   <a href="examples/mcp_server">MCP Server</a> |
   <a href="examples/YOLO_data_augmentation">Data Augmentation</a> |
   <a href="examples/YOLO_evaluation">Evaluation</a> |
   <a href="examples/YOLO_train">Train</a>
</div>

<br>

<div align="center">
   <a href="https://www.python.org/downloads/">
      
   </a>
   <a href="https://github.com/ultralytics/ultralytics">
      
   </a>
   <a href="https://scikit-learn.org/stable/modules
Read full README on GitHub →

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