Our approach
Success in edge AI is not about finding the best model. It is about finding the best model that fits the constraints. Latency, power consumption, cost and accuracy all affect one another, so we never decide on the hardware without the model, or on the model without the hardware.
We try the prototype early, with the real sensor and in the real environment. A model that does very well in the lab can behave differently in the light and noise of the field.