PPE detection: Datasets & Models
PPE detection uses computer vision to automatically verify that workers on construction and infrastructure sites are wearing required personal protective equipment. It flags missing hard hats, safety vests, and other gear in real time from camera feeds.
PPE detection
This PPE detection workflow runs object detection on images and video frames from construction and infrastructure site cameras to locate each worker and check for required safety gear. It detects items such as hard hats, high-visibility vests, safety gloves, and protective glasses, returning bounding boxes and labels that flag when equipment is missing.
Try it out
Powered by general detection model
Run on custom image
Drop an image here or click to upload
Why automate ppe detection
Manual PPE compliance checks rely on supervisors physically walking a site or reviewing footage after the fact, which is slow, inconsistent, and impossible to scale across large or multiple job sites. A single missed hard hat or safety vest can lead to serious injury, regulatory fines, and project delays. Automating PPE detection with computer vision provides continuous, objective monitoring at site entrances, high-risk zones, and active work areas without adding headcount. Teams get immediate notifications when someone enters a controlled area without required gear, closing the gap between a violation and a response.
Key benefits
PPE detection runs on the cameras and infrastructure you already have, so you can add safety monitoring without ripping out existing hardware. It scales from a single checkpoint to fleet-wide coverage across many sites, producing consistent compliance records and audit trails. With RF-DETR as the recommended model, you get accurate detection of small and overlapping PPE items even in cluttered outdoor construction scenes.
How to use it
- Upload an image: Drop any photo into the widget above to try ppe detection for free, right on this page.
- Preview instant results: The model detects hard hat, safety vest, gloves, safety glasses, person within seconds and returns an annotated image with structured predictions, so you can immediately see how well it works. Adjust the detection classes and re-run until the results fit your scenario.
- Like what you see?: With a free Roboflow account, you can deploy this workflow with the Serverless Cloud API, customize it in your workspace, or train RF-DETR on your own images for production accuracy.
- Get started for free: No code or training data required to begin: upload, review the results, and make it part of your stack in a single click.
Recommended model for ppe detection
RF-DETR is state of the art for real-time object detection, instance segmentation, and keypoint detection, with higher accuracy and lower latency than comparable models, and it's Apache 2.0 licensed. When you're ready to build a production model for ppe detection, fine-tune it on your own labeled images, then deploy to a Serverless Cloud API endpoint.
Not sure where to start?
Describe your PPE Detection project to Roboflow Agent.