SensAI environmental monitoring stations

In the SensAI project, the correction of values from low-cost environmental sensors through machine learning was explored.

By conducting widespread environmental data measurements, the impact of local changes, such as traffic variations in an urban area, can be measured and evaluated. However, this is often hindered by the high costs of more accurate sensors. To address this, SensAI developed circuit boards with low-cost sensors that measure various environmental parameters and send the data via LoRaWAN to a server for correction, aiming to improve the reliability of the measurements.