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.
Capture specific audio noises such as glass windows breaking to improve security systems and trigger alarms more accurately.
Detect human or animal presence in a room, as well as perform people counting using motion or radar sensors.
Proactively detect faults in HVAC systems, to reduce system downtime and send alerts for a technician.
Utilize temperature, humidity and other environmental data to embed intelligence directly on thermostats to reduce energy costs.
Utilize computer vision techniques coupled with other sensor or audio data to more accurately detect and track objects in a camera’s frame of reference.
Add keyword spotting capabilities to control lights, windows and other fixtures around the home.
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