Workplace Safety Detection ML Frameworks

Real-time computer vision systems for detecting Personal Protective Equipment (PPE) compliance, safety hazards, and worker safety violations on construction sites and industrial workplaces using YOLO-based object detection. Does NOT include general object detection frameworks, non-safety-focused helmet/equipment detection, or workplace monitoring systems without real-time detection components.

There are 6 workplace safety detection frameworks tracked. The highest-rated is rohanrao619/Social_Distancing_with_AI at 45/100 with 61 stars.

Get all 6 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=workplace-safety-detection&limit=20"

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#	Framework	Score	Tier	Stars	Language
1	rohanrao619/Social_Distancing_with_AI Monitor people violating Social Distancing or not wearing Face Masks in...	45	Emerging	61	Jupyter Notebook
2	kjaisingh/Hardhat-Detector A convolutional neural network implementation of a script that detects...	35	Emerging	42	Python
3	KrishArul26/Motorbike-Helmet_detection-using-YOLOV3 This project related to road safety. We have to wear a helmet according to...	28	Experimental	22	Python
4	sandesha21/HelmNet-AI-Computer-Vision-Model Computer vision model for detecting whether workers are wearing safety...	23	Experimental	1	Jupyter Notebook
5	paulinamoskwa/Real-Time-Social-Distancing Real-time social distancing detector and people counter for camera...	22	Experimental	2	HTML
6	yashnagle/SocialDistanceChecker To check if people are socially distancing or not	11	Experimental	—	Jupyter Notebook