InnoSense is unique. Using Machine Learning, we ‘train’ sensors in a laboratory climate chamber. These sensors are exposed to different temperatures, humidity and pollution concentrations. Through machine learning models, the measurements from the sensors are aligned to the real concentrations in the climate chamber. In this way, the sensors are both controlled and prepared for deployment in the cities of Oslo and Sarpsborg.
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