Most PPE programs fail in the same place: not at writing the policy, but at noticing when it's broken. A supervisor can't stand on the floor all shift. This guide walks through how to use a single AI camera to watch for missing hard hats, vests, and other PPE — and email you the moment a rule is broken — for about the cost of a few coffees a week.
What an AI camera can (and can't) check
Modern vision models are good at the visible, yes/no questions that make up most PPE policy. Realistic rules include:
- "Alert if anyone on the shop floor is not wearing a hard hat."
- "Alert if a person in the welding bay isn't wearing a face shield."
- "Alert if someone enters the marked zone without a high-visibility vest."
- "Alert if a worker on the line isn't wearing gloves."
What it's not for: it won't identify individuals by name, and it isn't a substitute for training or supervision. Think of it as a tireless second pair of eyes that flags the exceptions so your team can focus on the work.
Step 1: Pick one camera and one rule
Don't try to watch the whole plant on day one. Pick the single spot where a PPE miss costs you the most — usually an entrance, a specific machine, or a high-traffic zone — and start there with one clear rule. You can use a phone, tablet, or laptop as a web camera to start; no special hardware needed.
Step 2: Write the rule in plain English
This is the part that surprises people. There's no model training and no configuration menus. You type the rule the way you'd say it to a new supervisor:
"Alert me if anyone in view is not wearing a hard hat."
Visant captures images on a schedule you set and checks each one against your rule. To keep false alarms low, two AI models must agree a rule was broken before an alert goes out.
Step 3: Decide who gets the alert, and how
An alert is only useful if it reaches the person who can act. Route alerts by email to the supervisor on duty. The goal isn't to "catch" people — it's to close the gap between a violation and a correction from hours (or never) down to minutes.
A note on culture: the facilities that get the most out of this frame it as safety assistance, not surveillance — the camera watches the rule, not the worker, and the alerts help the team stay audit-ready and injury-free. How you introduce it matters as much as the technology.
Step 4: Review and expand
After a week, look at what it flagged. You'll usually learn two things: where compliance actually slips, and how to word the rule more precisely. Once the first camera is earning its keep, add the next zone.
What it costs
You can start free with a browser device and a limited number of daily AI checks — enough to prove it works on your floor. When you're ready for continuous monitoring, an AI License is $49/month per camera (or $470/year). Founding customers can use code FOUNDING29 for $29/month for the first year. A purpose-built plug-and-play camera is available for a one-time $199 if you'd rather not use a browser device.
Compare that to a traditional machine-vision PPE system, which typically runs into the tens of thousands of dollars plus integration — the reason most small and mid-sized facilities never deploy one at all.
Try it on your highest-risk zone this week. Point a device, write your hard-hat rule, and see what it catches — in about 10 minutes, with no credit card.
Start Free with Your CameraKeep reading
- Safety & PPE Monitoring overview
- AI Operations Monitoring vs. Security Cameras
- Install Guide — getting your first camera connected.