what do you need to predict?
Predictive maintenance starts with data. Smart sensors measure vibrations, temperature or noise, for example, and transmit this data to a microcontroller. Using AI and TinyML algorithms, the system learns to recognise anomalies and predict when maintenance is needed. And it does so without complicated cloud solutions or large IT investments.
Prevention is better than cure.
For manufacturing SMEs, this is a gamechanger. Fewer breakdowns means less production loss. Machines run longer and more reliably. You need fewer mechanics for urgent jobs and less stock of spare parts. Moreover, maintenance costs fall and your output rises. And perhaps most importantly: you get a grip on your production process and avoid surprises.
At Fieldlab Edge AI, we help companies implement this kind of maintenance step by step. With practical examples, affordable technology and the right guidance, we make predictive maintenance accessible. Not in theory, but in your factory.
Want to know more?
For all information on the Fieldlab Edge AI for Smart Industry, contact us at fieldlab@techport.nl. We will get back to you as soon as possible.
📧 fieldlab@techport.nl | 📱 06 - 18 84 73 00