The pilot plant for smart maintenance

Prevent downtime. With Edge AI and TinyML, predictive maintenance becomes feasible, affordable and effective for manufacturing SMEs. Smart sensors and microcontrollers analyse data directly on the machines; real-time, without cloud or delay. So you can immediately see what is happening and what is coming up.

The result? Fewer failures, lower costs, higher yields and more control over energy and maintenance. At Fieldlab Edge AI, we help you put this technology into practice.


edge ai & tiny ml for predictive smart maintenance

Smart sensors, real-time data and Edge AI such as Tiny Machine Learning models run directly on the machines in the factory, on energy-efficient microcontrollers. This allows you to see live what is happening, without delay or cloud costs. Predictions take place right there 'on the edge', i.e. on the machine itself. TinyML is low-threshold, affordable and perfect for SMEs. You get faster insights, save costs and lower your carbon footprint. 

At Fieldlab Edge AI for Smart Industry, we help you implement this technology step by step. This is how we make industry smarter, more sustainable and ready for the future

more information and/or register?

At Fieldlab Edge AI for Smart Industry, we help you implement this technology step by step. This is how we make industry smarter, more sustainable and ready for the future. 

Ready for take-off?

For all information on the Fieldlab Edge AI for Smart Industry, contact André Gerver. We will get back to you as soon as possible.

Contact

André Gerver
📧 a.gerver@techport.nl | 📱 06 - 18 84 73 00