A multinational leader in the food logistics sector.
Need
Detect events to prevent food spoilage during long-term storage.
Solution
A Datasense datalogger combined with MOX gas sensors.
A typical R&D project approach
Due to the complex nature of the problem, where many intrinsic and extrinsic factors can result in the food quality being degraded, this project has started as any research project: a low-cost prototype in a confined environment.
Multidimensional data analytics
Different sources of information have been integrated into a Machine Learning tool to detect any anomaly: gas and environmental sensors, operational data, thermal cameras, and spatial information.
