Solution showcase · Computer Vision

Safer sites, with alerts in seconds

PPE and danger-zone monitoring that alerts supervisors within seconds and builds an auditable safety record.

Type
Solution showcase
Industry
Construction
Deployment
Rugged edge devices on site, mobile alerts
Services
Computer Vision, Mobile App Development

The challenge

On a large construction site, supervisors cannot watch every gate, scaffold and crane zone at once. A missing helmet, or a worker stepping under a suspended load, is exactly the moment that matters and the hardest to catch.

The solution

SiteSafe Vision watches site cameras for missing PPE and entry into restricted zones. When it sees a risk, it sends a snapshot to the nearest supervisor’s phone within seconds. Every event is logged with time and location, building a safety record that shows where training, signage or layout changes will help most.

What it includes

  • Helmet and high-visibility vest detection
  • Virtual danger zones around cranes and edges
  • Snapshot alerts to supervisors’ phones
  • Event log with time, place and image
  • Weekly hotspot and trend reports

How it works

  1. 01

    Watch

    Site cameras stream to rugged edge devices on site, so footage stays local.

  2. 02

    Detect

    Models detect people, helmets, high-visibility vests and the danger zones you define.

  3. 03

    Alert

    A risk triggers a snapshot alert on the supervisor’s phone, with location.

  4. 04

    Learn

    Weekly reports show hotspots and trends for toolbox talks and safety reviews.

Design targets

< 5 sTarget time from detection to supervisor alert
24/7Coverage of gates, scaffolds and crane zones
100%Of events logged with time, place and snapshot

This is a solution showcase: a system Quibo designs and builds for this kind of problem. Figures are the design targets we build and test against, not results from a named client. Targets for your business are agreed and measured during the proof stage.

Ready to build?

Want a system like this?

Tell us about the process or the cameras you have. We will tell you honestly what is achievable, and propose a short proof stage on your own data.

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