Edge Impulse ML

Edge Impulse is an end-to-end platform for building, training, and deploying machine learning models on edge devices (microcontrollers, embedded systems, mobile devices). Instead of sending sensor data to a cloud server for processing, the ML model runs directly on the device. Workflow: (1) Collect sensor data on device and upload to Edge Impulse, (2) Label data (anomaly vs normal, activity A vs B), (3) Design neural network, (4) Train model, (5) Optimize for edge (quantization, pruning), (6) Deploy as C++ library to microcontroller, (7) Inference runs on device in <100ms.