edge impulse

Edge Impulse is a platform for developing, deploying, and managing machine learning models on edge devices. It allows developers to collect sensor data from devices such as microcontrollers, smartphones, and wearables, and use that data to train machine learning models that can run locally on those devices. This approach is known as edge computing, which means that the data processing and analysis are done on the device itself, rather than sending the data to a remote server for processing. Edge Impulse provides a range of tools for building and deploying machine learning models, including data collection, feature engineering, model training, model evaluation, and model deployment.