tinyML Talks Ukraine: Practical TinyML for industrial safety and personnel performance monitoring



Oleg PUZANOV, CEO and co-founder
Leantegra

Leantegra is developing hardware and software for industrial RTLS and safety. Our systems are being installed and operated in underground mines, steel factories, oil&gas companies etc.

This is our story about going from custom coding for MCU-side ML algorithms on RTLS devices to the standard stack based on TensorFlow Lite.

TagML – our customized version of TensorFlow Lite for Leantegra UWB and BLE tags, which are used as wearables or embedded inside the industrial equipment, such as cap lamps for underground miners.

Use cases: personnel safety and performance monitoring based on the motion recognition from IMU data (accelerometer, gyroscope).

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