31/10/2026
A camera can detect what happens on the production floor. But does that information reach the systems and people who need it?
This is something we’ve worked with across several Computer Vision projects at ITP.
In our Slag Pot Processing Control MVP, the system doesn’t just detect individual pots. It tracks each locomotive pass, checks process conditions, and produces one structured summary with speed, spraying status, pot condition, and violations. The result is sent to Microsoft Teams.
In our Burn-Through Detection project, each event is linked to a specific machine, time, and location, with alerts sent to operators and historical data stored for review.
Our PPE and hazardous-area monitoring cases follow a similar approach, connecting detected violations with alerts and incident history.
These examples show why integration matters.
A detection becomes much more useful when it has the right context: what happened, where, when, on which machine, and whether action is needed.
For manufacturers working with MES and other enterprise systems, this is an important connection between visual monitoring and daily production operations.
If your production data and visual monitoring still live in separate systems, let’s discuss where they could connect.
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