Azure IoT Edge is a fully managed service that delivers cloud intelligence locally. With Azure IoT Edge, you can seamlessly deploy and run artificial intelligence, Azure services, and custom logic directly on cross-platform IoT devices—from a small Raspberry Pi to large industrial machines. And manage it all centrally in the cloud with the security of Microsoft.
The Grove Starter kit for Azure IoT Edge is a joint-effort developed by Microsoft and Seeed Studio. The kit integrates Azure IoT Edge service and SeeedStudio’s most popular modular ready-to-use tool set – Grove, aims at helping developers get started quickly and conveniently with Azure IoT Edge.
In this session we will demonstrate the following:
1. Environment Monitor
When deployed to a device, code in the temperature sensor project collects temperature and barometric data from the Raspberry Pi temperature sensor and sends it to an Azure IoT Hub.
2. Image Classifier
When deployed to a device, code in the image-classifier project captures video from the Raspberry Pi camera, sends images from the video to an AI module running image classification, displays the results on the OLED display, and sends results to an Azure IoT Hub.
3. Speech Recognizer
When deployed to a device, code in the speech-recognizer project captures audio from the Raspberry Pi microphone, uses an AI module to recognize the speech and determine intent, responds with an appropriate response on the OLED display, and sends results to an Azure IoT Hub.