AI compliance evidence for pharma and food plants, on the cameras you already own

Why owners in pharma and food run Foreman

In a pharma or food plant, one hygiene lapse on camera can mean a failed audit, a held batch, or a customer you do not win back. The cost of a single slip is far higher than the cost of watching for it, yet no owner can stand at the gowning door all shift, every shift.

Foreman puts a tireless second set of eyes on the cameras you already have. It logs PPE and gowning compliance, watches who enters restricted areas, counts who is on the floor, and tells you the moment something moves after hours. You get the proof and the alert without adding a single person or device.

One prevented loss, an audit kept clean, a contaminated batch caught early, a break-in stopped, can pay for years of Foreman.

• Runs on your existing Hikvision, CP Plus, Dahua, or any RTSP or ONVIF DVR or NVR
• 60-second Windows install, no new hardware, no rewiring
• Every alert is double-checked before it reaches you, so you are not chasing false alarms

What Foreman watches for you

Foreman reads only what a camera can actually see. On pharma and food floors that means visible gowning and PPE, who is in which zone, how many people are present, and motion when the plant should be empty.

• Gowning and PPE compliance: hairnet, coat, and helmet as visible PPE, flagged when missing at the points that matter
• Clean-zone and restricted-area access: people detection plus zones you draw, so an unauthorised entry into a gowning or production area raises an alert
• Headcount and attendance: how many people are on the line or in an area, counted from the camera
• After-hours intrusion: movement in a closed plant or restricted store, with a photo, the instant it happens

Compliance evidence, captured automatically

Auditors and customers want proof, not promises. Because Foreman is already watching, it builds a quiet record of what happened: a timestamped photo when a gowning rule is broken, a log of after-hours entries, a daily summary of the floor.

When an audit comes, you are not reconstructing the week from memory. You have dated, photo-backed evidence of how your hygiene and access discipline held up, and a clear trail of the exceptions, so you can coach the line instead of guessing.

• Photo proof attached to every flagged event
• A daily report that lands without anyone compiling it
• A searchable trail of compliance exceptions and after-hours activity

How it works

Detection runs on-site, on a machine inside your plant, so your continuous video never leaves the premises. When the on-site model spots a possible event, a second, more thorough check confirms it before you are alerted. That is what keeps false alarms low.

Alerts arrive where you already are: a Telegram message with a photo, and a voice call when it is urgent. A plain-language daily report sums up the floor each day.

You set the rules in plain words: alert me if anyone enters the clean room without a coat, tell me about movement after 8 PM, count the people on Line 2. No dashboards to learn.

• On-site detection, then a second check before any alert
• Telegram photo alerts, voice calls for urgent events, a daily report
• Custom rules in plain language: zones, times, and conditions

Honest about the boundary: vision only

Foreman is camera intelligence. It detects what is visible in the frame: gowning and PPE worn or missing, people and where they are, motion, and fire and smoke as visible flame and smoke.

It does not measure temperature, particle counts, air quality, or contamination, and it has no contact with your process. It is not a sensor, and it does not replace your validated environmental, quality, or food-safety controls. Think of it as a watcher that makes your existing discipline visible and provable, not a substitute for the instruments your standards require.

• Detects only what the camera can see, with no thermal, particle, gas, chemical, or contamination sensing
• No audio, weighing, or access-control hardware
• Complements your validated quality and safety systems; it does not replace them

Built on our own AI models

Foreman runs its own AI models, trained in-house for factory and processing floors rather than borrowed from generic detectors. We hold ourselves to the published state of the art and measure against it.

Our benchmark and paper are coming. You can read more about how we build and evaluate the models on our research page.