Machine Learning on LoRaWAN devices

When

01/27/2021 3:00pm

Wednesday 27 January 2021
06:00 am - 06:15 am PT

Add to Calendar 01/27/2021 3:00pm 01/27/2021 3:15pm Europe/Paris Machine Learning on 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 hands-on workshop you’ll get your first taste of tiny machine learning: from data collection to model building to deploying on your LoRaWAN end-devices.

Thursday 28 January 2021
12:00 am - 12:15 am CET

01/27/2021 03:00 pm

Add to Calendar Thursday 28 January 2021 12:00 am Thursday 28 January 2021 12:15 am Europe/Paris Machine Learning on 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 hands-on workshop you’ll get your first taste of tiny machine learning: from data collection to model building to deploying on your LoRaWAN end-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 hands-on workshop you’ll get your first taste of tiny machine learning: from data collection to model building to deploying on your LoRaWAN end-devices.

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