MES.AI is an AI-powered system that analyses your production around the clock, detects waste and tells you what to improve. The camera provides the image — AI does the rest. No PLC integration, no costly MES rollout.
Most plants know production time from standards and shift reports. What really happens during the day never makes it onto paper — and that’s where the losses are.
AI analyses the same camera image for questions from different departments. Start with one scenario and add more without new hardware.
For shift managers and lean teams: where time goes between a unit entering and leaving.
The real duration of every operation — measured for each unit.
median and spread per shiftWhich station holds a unit the longest, and how that shifts through the day.
station rankingHow many units wait, and for how long, before the next station starts.
waiting timeEvery stop with time and place — including the short ones nobody reports.
minute-by-minute timelineFor quality teams: visual checks where today only a person is looking.
Whether every item is in the package before it moves on.
pass / failWhether assembly steps were done in the defined order.
deviationsDamage, dirt, missing labels — anything visible to the eye.
timestamped imageA unit doesn’t move on without a recorded check.
verdict at the stationFor HSE teams: react to risk before an incident happens.
A person entering a machine or robot work zone.
live alertHelmet, vest and glasses where they’re required.
violations per shiftWhether aisles and exits are blocked by pallets.
time blockedForklifts passing too close to people.
event logFor maintenance: signs that a machine is behaving differently than usual.
The machine runs slower or unevenly compared with a typical day.
deviation from normalThe machine is stopped but no fault is logged.
stops to explainFrom machine stop to a technician arriving.
MTTR from videoWorkstation order: tools in place, aisles clear.
score per shiftA camera above the station, new or existing. It only provides the image.
An on-site AI model recognises events: running, stopped, flow, presence. By default, footage never leaves the floor.
Analyses events 24/7, compares shifts and days, detects waste and its causes.
Concrete advice on what to improve, plus OEE, cycle time and downtime — with export to ERP / WMS / BI.
From recognised events MES.AI builds a timeline of the production day — for every line, old and new.
„Which lines lose the most, and will the investment pay off?”
„What stopped the line today, and for how long?”
„Who will analyse all of this?”
„Is it secure, and how much work is it for us?”
MES.AI works where work happens at stations and on conveyors — including older machines with no data access.
We start with one camera. Within the first days we show where the line loses time and whether the losses justify a wider rollout.
No. The system learns from video, so it also works on older machines without controllers or data access.
Yes, if they are IP cameras with an RTSP stream and a view of the workstation. If not, we’ll choose and install one.
That is not its purpose. MES.AI measures the course of the process — work, stoppages, flow of pieces — and results relate to workstations and processes. Where people are in the frame (e.g. protective-equipment checks), the customer, as employer, sets the scope and informs staff, and we help prepare it. Footage is processed locally on a device on the shop floor.
The Edge Box keeps recognising events and stores them locally. Once the network is back, it sends everything it collected.
Usually one. One camera can also cover several points on a conveyor if they’re in view.
The pilot runs 30 days on one workstation. Scope and cost are agreed after a short conversation about the process.
Yes. Events and reports can be exported to ERP, WMS and BI tools.
We review the results together. If the losses justify it, we add more workstations the same way.
We’ll show MES.AI on a process similar to yours. Short, concrete, and no rollout to start.
Star spółka z o.o. · NIP 8952235795 · KRS 0000933782 · Share capital: 20 000,00 złWe’ll reply to the email address you provided.