Use case · Safety
PPE detection
Helmets, vests, gloves, and eyewear verified continuously, not just when a supervisor happens to be looking.
The problem
Why it keeps happening.
PPE policies are written down, trained, and signed for, and then compliance quietly decays between audits. Manual spot checks sample a tiny fraction of exposure hours, and the gap between "policy as written" and "floor as it runs" only becomes visible after an injury.
Every entry point, line, and yard where PPE matters is usually already on camera. The footage exists; the enforcement does not.
The rule
Written the way you'd say it.
“Flag anyone on the floor without required PPE, and notify the shift supervisor after two events.”Compile it in the Rule Playground
How it runs
- 01
Point FloFrame at existing views
Gates, plant-floor lines, and access points you already monitor connect over ONVIF/RTSP. Zero training data: detection works from day one.
- 02
Write the policy as a rule
Which PPE, which zones, which shifts, expressed in plain English, with different requirements per area if your policy differs by zone.
- 03
Enforce it deterministically
The same rule fires the same way every time. Notifications go to the shift supervisor after the thresholds your policy sets. No alert fatigue by design.
- 04
Build the audit trail automatically
Sealed, annotated clips and per-area compliance trends accumulate in FloFusion: evidence for EHS reviews, insurers, and regulator visits.
Measure
What's measured.
- PPE compliance rate per area and shift
- Repeat events by zone
- Trend before and after a briefing or a change
What it’s worth
- Fewer injuries in the categories PPE exists to prevent
- Compliance rates measured continuously instead of sampled quarterly
- Audit responses in hours: the evidence is already sealed and organised
- A defensible duty-of-care record for insurers and regulators
Estimate your ROI for your own operation, in about two minutes.
Comply
The evidence.
- A clip and frame of the event, sealed with the device’s own key the moment it happens
- The rule that fired, the zone and camera, and the time
- The vision-language model’s verdict on the alert, with its reason
- Who saw it, who acted, and when, in the audit log
Where it applies
Related industries.
Common questions
Does PPE detection identify individual workers?
No. Detection looks at the PPE, not the person: no facial recognition or biometric identification. Events record what happened and where, and access to clips is role-based and logged.
Link to this questionWhat if our PPE requirements differ by area?
Rules are set per camera and per zone, so a cleanroom entry, a welding bay and a yard gate can each require their own PPE on their own schedule. FloFusion policies keep the same rules in step across sites.
Link to this questionMore use cases
The use-case librarySafety
Forklift–pedestrian detection
The highest-severity risk in most warehouses and plants, watched continuously by the cameras already on the ceiling.
Safety
Restricted zone monitoring
Machine cells, energized areas, and exclusion perimeters enforced automatically, every minute they matter.
Safety
Fall & man-down detection
When someone goes down, the response clock starts: detection in seconds, not whenever a colleague walks by.
See it on your own cameras.
A pilot on the cameras you already own, with success criteria agreed up front.