Deploy AI on your factory floor — directly on the sensor chip. No cloud, no connectivity dependency, no data leaving the premises. Just real-time fault detection on a €8 microcontroller.
70% of motor failures come from bearings and misalignment — detectable weeks before breakdown, yet most factories still react after the fact.
Building a custom ML pipeline requires data scientists, cloud infrastructure, and months of development. Most hardware teams cannot justify the investment.
Streaming vibration data to the cloud introduces latency, connectivity risk, and recurring costs. Factory floors often lack reliable internet coverage.
Luviner trains a Neural Network on your vibration data and compiles it into a binary that runs directly on the sensor MCU. 100% offline, real-time classification, hardware-locked IP protection.
Dominant 1x frequency component in vibration signature. Schedule balancing within 2 weeks.
High-frequency impulse patterns (BPFO, BPFI harmonics). Replace bearing before catastrophic failure.
Strong 2x and 3x frequency harmonics. Realign shaft coupling during next planned stop.
Record accelerometer data from your motors. Export as CSV with fault labels.
Upload the CSV. Edge V3 trains an ultra-compact neural network in seconds.
Register your sensor MCU UIDs. The model runs only on your authorized devices.
Download the compiled .a + .h, link into your firmware. Pure C, zero dependencies.
Start free with the Evaluation plan. No credit card required.