
TinyML Model Deployment and Memory Profiler
Deploy a known model reproducibly and measure model bytes, runtime flash, tensor arena, stack, heap and inference timing.
Read more →
Deploy a known model reproducibly and measure model bytes, runtime flash, tensor arena, stack, heap and inference timing.
Read more →
Recognise a small command vocabulary while measuring false accepts, privacy exposure and real-time memory use.
Read more →
Learn normal vibration and flag deviations while separating sensor, mounting and operating-condition faults.
Read more →
Classify stationary, circle and shake gestures from fixed sensor windows.
Read more →