Edge Impulse is a platform focused on deploying ML models to low-power edge devices and embedded systems. It supports both vision and other models like audio, time-series, and signal processing. Edge Impulse is uniquely good at working withmicrocontrollers and has SDKs for single-board computers and mobile devices.
The design focus on TinyML makes it less suited for high-resource, general-purpose tasks like video processing and running modern, state-of-the-art ML models. It also requires some familiarity with embedded systems. It typically requires custom coding your application logic to run on the embedded board.
Chose Edge Impulse if: you're working on an IoT or wearable device that's not capable of running more powerful models, framework, and logic.
Inference turns any computer or edge device into a command center for your computer vision projects.
Inference turns any computer or edge device into a command center for your computer vision projects.