Talk: Adding intelligence to your LoRaWAN devices
Many LoRaWAN devices are very simple: just a radio sending raw sensor values to the cloud. But this limits the usefulness of a deployment.
A sensor can send that it saw movement in front of it, but not what it saw. Or a sensor might notice that it’s being moved around, but not whether it’s attached to a vehicle or is just being carried around. The reason is simple: for knowing what happens in the real world you’ll need lots of data, and sending all that data over LoRaWAN quickly diminishes your downlink budget and battery.
How can we do better?
In this talk we’ll look at ways to draw conclusions from raw sensor data right on the device. From signal processing to running neural networks on the edge. It’s time to add some brains to your LoRaWAN deployment.
Jan Jongboom is an embedded engineer and machine learning advocate, always looking for ways to gather more intelligence from the real world.
He has shipped devices, worked on the latest network tech, climbed upon buildings to install gateways and there’s a monument in San Francisco with his name on it.