Build an Object Detector Running on a Microcontroller Using Edge Impulse FOMO and Azure IoT

Описание: 🐝 Bees, 🔩 screws and #ai!

On today's show, Jim is joined by ‪@ShawnHymel‬, a developer relations engineer from ‪@EdgeImpulse‬. Shawn has been playing with FOMO, an object detection AI model that runs on microcontrollers using #tinyml, has built a bolt and screw counter that not only runs on a low-powered device, but sends the data up to the cloud to monitor via Azure IoT.

Learn more and build this yourself at https://aka.ms/lgpc/fomo

00:00 - Intro
00:30 - Introducing Shawn from his secret laboratory
01:29 - An OpenMV board running FOMO
02:23 - 🔩 Object detection running at 12FPS on a microcontroller
03:30 - We dig into the OpenMV and ESP32 hardware
04:27 - Constrained object detection vs full object detection
05:06 - How FOMO works using MobileNet
11:12 - 🐝 Bees! Using FOMO for bee counting
14:45 - Capturing good training data for the model
15:58 - Get started with FOMO - https://aka.ms/lgpc/fomo
17:34 - 🔩 Screw/Washer demo - https://aka.ms/lgpc/fomo/code

Presented by ‪@jimbobbennett‬

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This show was recorded at the Microsoft Reactor in Redmond.

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