Helmet Compliance, Checked on Every Frame, Automatically
A computer vision system that detects whether people in a video are wearing helmets and tracks each person across frames, with a dashboard to upload videos and review results.
Checking helmet use manually is slow, tiring, and easy to get wrong
Helmet use is a basic safety requirement on construction sites, factories and roads, but checking it is manual — someone watches hours of footage or stands on site, which is slow, tiring and easy to get wrong, so violations go unnoticed. Simple detection models also struggle in real footage (small or distant people, crowds, blur, poor lighting), and without tracking you cannot tell whether ten detections are ten people or one person seen ten times.
Want Helmet Compliance Checked on Your Own Site Footage?
We'll scope a pilot around your exact cameras and footage — two-stage detection plus multi-object tracking — with clear success metrics before any production commitment.
An end-to-end video analysis pipeline with a web dashboard, in three parts
Multi-stage detection
Two detection models work in sequence — the first trained on 9,000 images and the second on 15,000, so the second stage refines what the first finds.
Multi-object tracking
Each detected person is tracked across frames, so every individual is counted once and their helmet status can be followed over time.
Interactive dashboard
Users upload a video, run it through the pipeline and view detection and tracking results visually.
A typical video run
- 1Upload through the dashboard
- 2The multi-stage detection pipeline finds people and helmets in each frame
- 3The tracker links detections across frames
- 4The dashboard shows the video with detection and tracking overlaid
- 5The user checks helmet compliance and follows up on violations
What teams get
Safety officers get automatic helmet checks on recorded video. Site and operations managers get a clear visual record of who was or was not wearing a helmet. Compliance teams get consistent, repeatable checks instead of spot inspections.
Trust
- Trained on real data — 9,000 and 15,000 images
- Layered accuracy, as the second stage corrects what the first misses
- Consistent identities avoid double counting
- Detections and tracks are shown on the video so a person can check them
- The system flags and people decide the action
Status: done — multi-stage detection, multi-object tracking and the dashboard. What each detection stage covers, precision and recall, whether it runs on live streams or only uploaded videos, and next steps are still to confirm.
An engineering team that ships reviewable computer vision, not slide decks
AWS Advanced Tier Partner
Certified cloud and AI delivery, so your detection pipeline runs on infrastructure built to AWS Well-Architected standards from day one.
Pilot-first engagement
We scope, build and validate against your real site footage before you commit to a production rollout.
Layered, two-stage accuracy
Two detection models work in sequence, trained on 9,000 and 15,000 images, so the second stage corrects what the first misses.
Consistent identity tracking
Multi-object tracking links detections across frames, so counts stay reliable and no person is double counted.
Trusted by forward-thinking teams
AWS-Certified Experts Delivering Cloud Excellence.
More Workplace Safety AI Solutions
Want Helmet Compliance Checked
Automatically, Not Manually?
Tell us about your site footage and compliance process — we'll help you scope a detection and tracking pilot with a review dashboard.