Build a smart IoT device with TensorFlow Lite and Raspberry Pi

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Learn how to build smart IoT devices using TensorFlow Lite and Raspberry Pi. Discover pre-trained object detection and sound classification models that you can use off-the-shelf to "see" and "hear" the surrounding environments. If the off-the-shelf models don't satisfy your app’s needs, learn how to collect training data and train your own custom models using TensorFlow Lite Model Maker.

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Speaker: Khanh LeViet

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Thank you for this wonderful introduction.

sarathpavithra
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Hey, how do I run the picamera on 64 bit OS? For me the cam only works on 32 bit versions

KubinatorLP
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Great video! Thanks for posting this guide! 👍

ErlTarrega
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I have problem running the tflite-model-maker, it hangs at the "200kb", anyone else have same issue?

elvenkim
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this is always what I want to learn, btw can we object detect something difficult like dust/debris ? I wonder if later I would pour a flour or any random powder, could our machine find the difference ?

flickmew
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when will tensorflow lite support raspberry pi pico micro controller ?

sam-vvgl
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finally i can put my pi 2 to work >:)

nvfpv
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So, no raspberry pi W Zero, where is the fun then

MauricioRamcerva
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I can’t believe I used to think this junk was important. Fertilizer is important. Baby formula is important. Gasoline is important. My Raspberry Pi collection, worthless.

memyselfandi
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Warm greetings, thanks for the video. Please how can i run object detection with an IP camera?

yvansnippeur
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Model maker installation takes a decade, how to fix this?

shaheermubarak