Imagine if your machines could tell you when they need maintenance – before something goes wrong. No unexpected downtime. Sounds like magic? But it’s not, it’s AI!
From ‘fix it when it’s broken’ to ‘wait before it happens’
Classic maintenance is carried out at fixed intervals: Regularly screw, replace, check – regardless of whether it’s necessary or not. Or repairs are carried out when something fails. Both cost money, either through too many uses or through expensive production downtime.
AI does it differently. Sensors on your machines already collect a lot of data – temperature, vibrations, running times. We read this data in a structured way and our AI analyses it and recognises patterns that indicate an impending defect. This allows you to take targeted action at exactly the right time.
AI sees what the eye misses
In addition to sensors, computer vision also comes into play. High-resolution cameras and AI algorithms monitor the rejects of manufactured parts – in real time. The AI recognises the smallest deviations: Cracks, mould defects, material problems. It intervenes before faulty parts reach production or the customer.
Benefits
✅ No surprise breakdowns – your production is stable.
✅ Shorter downtimes – maintenance can be planned.
✅ Lower costs – you only replace what is really necessary.
✅ Longer service life – machines last longer.
✅ Higher quality – faulty parts are recognised and rejected immediately.
This technology is not only of interest to large corporations with gigantic production facilities. Medium-sized companies can also use it – and thus optimise their operations for the risk of failure.
How do you implement this for your company?
Mit AXOMIA, denn wir entwickeln KI-Lösungen, die genau zu deinem Betrieb und zu einer sinnvollen Qualitätssicherung passen – praxisnah und verständlich. Schreib uns und wir beraten dich.