Palmos is building a wireless network of sensors that monitor and predict hydrological risks in urban environments such as landslides and flooding. Each sensor in the network is designed with a low-power wake-up mechanism to reduce battery consumption to extend each unit’s power lifecycle. The data from the sensors is pushed to the cloud where it is analyzed using classification machine learning algorithms. Potential landslides and floods are flagged and assigned a risk score.
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