OneTrack picks operators fairly from live activity, records a few minutes of real work from the camera already on the forklift, and puts it in front of the right supervisor with your checklist.
Set up a program once. OneTrack handles the picking, the recording and the hand-off to your supervisors from then on.
Eligible operators come from QR sign-ons or WMS work codes, grouped by supervisor or shift. Anyone observed recently is down-weighted, so the same people aren't picked again and again.
A short timelapse from a random window of the shift, pulled from the camera already on the forklift. No staging, no interruption, nothing new to install.
Daily, weekly, hourly or a custom cadence, in each plant's time zone. Filter by shift, supervisor and work type, and try a program in testing mode before it goes live.
The right supervisor is notified when the footage is ready and scores it against your own form. Every observation is logged as an auditable safety event.
Manual observations depend on a supervisor finding time. The result is thin coverage, observer bias and the same few people watched.
Skipped whenever the floor gets busy.
On your schedule, every time.
The same people, over and over.
Rotation weighting spreads picks across the team.
Operators behave differently when watched.
Normal, unstaged work.
A checkbox filled out from memory.
Real footage behind every observation.
No proof the program ever ran.
A complete, auditable record.
An automated safety observation is a behavior-based safety check that runs on a schedule without a supervisor walking the floor with a clipboard. OneTrack samples an eligible operator from live activity data, captures a short clip of real work from cameras you already have, and delivers it to a review queue with your own observation checklist. Supervisors review, score, and coach from the footage.
OneTrack builds a pool of eligible operators from live activity data (QR sign-ons or WMS work codes) over a lookback window, groups them by supervisor or shift, and samples using rotation-weighted fairness. Anyone observed recently is down-weighted so the same people aren't picked over and over. Selection is random within the pool, seeded per run so results are consistent and auditable.
No. Observations capture footage from the OneTrack sensors already on your forklifts. There is no new camera to install, no new app for supervisors, and no new system to learn. Observations appear as their own event queue inside the OneTrack platform you already use.
Yes. You build the observation form (seatbelt use, horn at intersections, pedestrian awareness, speed, or any behavior you track) and supervisors score against it with a live preview of the footage. Each program has its own form, schedule, and sampling rules.
Traditional BBS programs depend on supervisors finding time for clipboard rounds, and they suffer from observer bias, the Hawthorne effect, and inconsistent coverage. OneTrack automates the sampling and the capture, so observations happen on schedule, cover everyone fairly, and are backed by real footage of actual work instead of a checkbox filled out from memory.
Fair sampling, real footage and a review queue your supervisors will keep up with.
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Questions? Email us at hello@onetrack.ai.