Hour eleven. A restraint check that took one second instead of three.
A fourteen year old comes out of the car. The park is closed for nine days and the footage runs for longer than that.
A shift begins
Nobody measured whether they could actually do the job that day. There was no measurement to take. So the shift started, and the rest of it happened.
↓ The story is below. Press play.
Below personal baseline. Removed from guest facing post. Referred to the protocol the ship already runs.
It is not only ships
Three more shifts, three more industries. Press play on any of them to watch the night twice: once as it happened, once with Clear at the gate.
A fourteen year old comes out of the car. The park is closed for nine days and the footage runs for longer than that.
He passed a drug test when he was hired, and another one after the incident. Neither test could tell anyone he was too exhausted to be doing that job at 4 a.m.
A wingtip hits a service truck. The plane is pulled from service, flights cancel down the line, and the incident report has a box for what was tested that day. It stays empty.
Scenarios above are composites, written to be recognizable rather than specific. The statistics below are sourced.
The part the safety budget does not cover
For a consumer facing brand, an impaired employee is a brand problem before it is a safety problem. That moves the decision out of EHS and puts it in front of risk, legal, and the people who own the name on the ship.
Company says the employee was screened at hire and had no prior incidents. Plaintiffs' counsel is asking what the company measured on the night in question. The answer is nothing.
A panel tells you what somebody consumed, eventually. It does not tell you whether they can work the post in front of them, now.
What Clear does
Clear turns any camera into a two minute fitness for duty check. Phones, tablets, gate kiosks, laptops. One score for functional state and impairment, on a signed record that stands up in a claim.
Functional state and impairment, not metabolites. Multi modal deep neural networks on standard camera input.
Starting with alcohol and cannabis. Cause agnostic by design, extending to fatigue, medication, and polydrug.
Scored against that worker's own enrolled baseline, not a population average.
A pre screening layer. Flagged workers route into the site's existing testing protocol. Clear does not make the final call.
The score, 0 to 100
The headline that did not run
Clear measures human functional impairment. A two minute check on any camera, scored against that worker's own baseline, on a cryptographically signed record. It runs on the hardware already on site and routes flagged workers into the protocol you already use.