In this blog, we show how to use Edge Impulse for deploying embedded Machine Learning (ML) on low-power sensors that measure really anything one can imagine. However, we start with temperature measurement as the baseline with a Proof-of-Concept (PoC) demo and explore how putting more intelligence on these sensors results in new paradigms for embedded development and systems design using a data driven approach vs. traditional techniques such as simple threshold checking.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/embedded-machine-learning-cold-chain