Monitor electric grid and water networks using sensors to real-time detect faults or issues, so that costly downtime can be avoided.
Provide intelligent insights real-time to improve traffic monitoring, reduce pollution levels and respond to natural disasters faster.
Use ML to make smarter meters, streetlights and traffic lights which can real-time adapt to changing environmental conditions.
Predict powerline failures in advance to avoid costly downtime, potential damage to the grid, or dangerous faults that can cause fires.
Utilize acoustic, pressure and other sensor data to catch water leaks early and prevent wastage over time.
Improve public safety by equipping city infrastructure with smart acoustic sensors which can perform gunshot and other noise detection.
Use image and sensor data to count cars, vehicles and cyclists more accurately in order to more efficiently manage traffic and city resources.
Add new capabilities to street lights such as intelligent environmental monitoring, traffic monitoring capabiltiies, or even audio-based event detection for emergency services.
Implement computer vision algorithms to automate the inspection process for capturing defects such as potholes or cracks in roads.
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