See the near miss before the accident.

What It Is
Most incidents follow near misses nobody recorded. Vision models running on the existing CCTV can recognise people, vehicles and protective equipment, and check them against zones and rules that the safety team defines.
Alerts go to a local beacon or the supervisor, and each event is logged with a short clip for review and training. Privacy is designed in: faces can be blurred and footage kept only as long as needed.
How It Works
The system from the sensor to the people who act on it. Every project is sized to the site, but the layers stay the same.
- See
Cameras & tags
Existing IP cameras, new ones where needed, and optional UWB tags for proximity.
- Detect
Edge AI
Models detect people, vehicles, PPE and zone breaches on site.
- Warn
Local alerts
Beacons, buzzers or a signal to the machine's PLC when the rule allows it.
- Record
Event log
Each event stored with a clip, time, place and type.
- Improve
Safety reports
Trends by zone and shift feed toolbox talks and layout changes.
Key Technologies
The protocols, standards and components we work with on this use case.
Vision
- IP cameras
- RTSP
- ONVIF
- Person & vehicle detection
- PPE detection
- Zone rules
Proximity
- UWB tags
- Radar sensors
- Safety laser scanners
Governance
- ISO 45001
- DPDP Act
- Face blurring
- Retention policies
Typical Deliverables
What a project usually hands over. We agree the exact scope with you before work starts.
- Safety rules and zones agreed with the safety team
- Camera review and additions
- Edge AI deployed and tuned on site
- Alerting and beacon integration
- Event review dashboard
- Privacy and retention settings documented
Where It Applies
Industries where this use case answers a problem we see often. Each links back to the sector page.
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Let's Scope Your Project.
Tell us about your site and what you want to improve. Our engineers will help you scope a practical first step.

