Zin Thein Kyaw
Cold Chain Temperature Monitoring using Anomaly Detection
Cold Chain Monitoring is a multi-billion-dollar market that spans across many industries such as transportation and logistics, grocery retail, and smart agriculture. One of the key sensing metrics that makes applications in this space successful is the monitoring of environment temperature where perishable products are produced, processed, packaged, stored, transported, and sold. In this example we show you how to use Edge Impulse for deploying embedded machine learning on low-power temperature sensors that can help warn the system owner ahead of time before products such as food and vaccines have exceeded their temperature storage limits.