Embedded Machine Learning Example with Thingy:53 - Classification
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Рік томуIn this video we'll see how to create a Machine Learning Model which classifies TV programs using @NordicSemi 's Thingy:53 IoT prototyping platform and @EdgeImpulse
We'll use the light sensor on the Thingy:53 and get the RGB values as samples to form the training and test sets. We'll create an 'Impulse' using Edge Impulse studio and then create FW to be downloaded to our Thingy:53. Once the firmware is loaded, we'll see its classification performance.
@jkbullitt8986 Рік тому
Good work. I was unsure at first whether it was possible to flash T53 from PC without j-link, but can see from your example it can be done.
@drselim Рік тому
Thank you, yes it's possible. However I experienced some problems after flashing the FW that I built in EdgeImpulse, I was not able to reset the Thingy53 to its initial state. You can see the problem ı had in my most recent video (BLE app with nRF52840 Dongle) there's a problem with the HCI connection. I'll obtain a 3V Nordic DK to fully erase the thingy53.
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