Real-time hazard detection: findings while the hazard still exists
Real-time hazard detection means identifying a hazard fast enough to act on it — while the condition still exists. With OSHA Scan, that speed comes from a photo: snap a picture of the work area and the AI returns its visible findings in seconds — each hazard named, referenced to the OSHA standard it may relate to, with a suggested fix, a confidence level, and a 0-100 score. It is on-demand analysis of a photo, not continuous video surveillance — which means it works on any site, from any phone, with nothing installed. Free to try, no account needed. A person verifies every finding on the floor.
Two different technologies wear the 'real-time' label, and it is worth being precise. Continuous systems — AI-enabled fixed cameras — watch one location around the clock and alert on defined events. They are genuinely real-time for that one field of view, and they carry the costs of a capital project: hardware, mounting, network, workforce privacy considerations, and a view that never moves. OSHA Scan is the other kind: on-demand analysis that runs the moment you take a photo and returns findings in seconds. It is not watching anything between photos — and in exchange, it covers any viewpoint on any site with zero installation, today.
For the moments that decide most incidents — a new task starting, a delivery staged in the wrong place, a subcontractor's setup, a changed condition after weather — the on-demand model is usually the more practical fit: those are precisely the moments a person is present, looking, and able to take a picture. The photo turns their attention into a documented, analyzed record in the time it takes to keep walking.
Detection only matters if it shortens the path to correction. Every OSHA Scan finding arrives as an actionable unit: the hazard, why it matters, the OSHA standard family it may relate to, a suggested corrective action, and a confidence level. Accepted findings become checklist items with owners — so the same minutes that detected the hazard also assigned its fix. When the correction is done, re-scanning the same viewpoint produces the closing evidence: the recovered score and a clean finding list, timestamped, attached to the same inspection record.
Compare that to the traditional loop: hazard noticed, noted on paper, typed up, emailed, triaged, assigned, verified — each handoff adding a day and losing detail. The compression is not about working faster; it is about removing the handoffs where hazards used to wait.
Some hazard families are stable for weeks — a missing sign, a faded label. Others are lethal precisely because they are momentary: a worker's path crossing under a suspended load, an unprotected edge on a deck that was guarded yesterday, an impalement hazard uncapped between pours. These are the exposures where a monthly inspection is statistically blind — they appear and resolve between visits. Fast photo analysis is the counter: the supervisor who sees the lift starting can scan the area in the time the load takes to rise, and the findings — suspended-load clearance, rebar caps, edge protection — come back while the crane is still in the air. That is the honest case for speed: not replacing the inspection program, but covering the exposures that never survive long enough to appear in it.
- Scan at the moments risk changes
- Act on high-severity findings before leaving the spot
- Photograph the exposure, not the equipment
- Keep the phone's view honest
Is this continuous video monitoring?
No — and that is a deliberate design choice. OSHA Scan analyzes photos on demand: you take a picture, findings return in seconds. Continuous AI camera systems watch one fixed view around the clock, but they are a capital project with hardware, network, and privacy overhead. Photo-based detection covers any viewpoint on any site with zero installation — real-time in the sense that matters: the findings arrive while the hazard still exists.
How fast are the results?
Seconds per photo — typically before you have walked to the next work area. Each result includes the visible hazards, the OSHA standard each may relate to, a suggested fix, a confidence level, and a 0-100 score for the area.
What kinds of hazards benefit most from fast detection?
Short-lived, high-severity exposures: people under suspended loads, uncapped rebar between pours, edges unguarded during a transition, blocked egress during deliveries. These appear and resolve between scheduled inspections, so speed is the only way they get caught at all.
Does fast detection replace scheduled inspections?
No. Quick scans cover the gaps between scheduled inspections and feed the same record — they do not replace the walkthroughs, JHAs, and instrument checks a program requires. Every finding is AI-assisted draft output that a person verifies before it becomes the record.