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Weekly Wiki

It's the fourth week of February and we are back with "Seeed Weekly Wiki Updates" as promised. This week was also filled with a lot of fun stuff at Seeed and we are happy to update you all with what we have done at Seeed Wiki. As you all know, Seeed Wiki is a dedicated platform where we provide the proper guidance and support you need when getting started with our products. We put a lot of effort to make this platform more user friendly because we want to enable the learning of electronics in a more systematic approach.
We will bring you all these wiki updates in a weekly basis. So stay tuned with us and don't forget to visit this page again next week!

Existing Wiki Updated

4-Channel SPDT Relay HAT for Raspberry Pi

We have released a new version of the 4-Channel SPDT Relay HAT for Raspberry Pi with some hardware improvements compared to the existing version. Check the getting started guide to learn more!

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New Wiki Added

Connect Wio Terminal to Microsoft Azure IoT Central

Microsoft Azure IoT Central is a fully managed global IoT SaaS (software as a service) solution that makes it easy to connect, monitor and manage your IoT assets at scale.

Learn how to connect the Wio Terminal to Microsoft Azure IoT Central and send telemetry data from the onboard sensors/ hardware on the Wio Terminal such as the 3-axis accelerometer, light sensor, 3 buttons to Microsoft Azure IoT Central. Check this wiki to get started!

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What's more?

Wio Terminal Classroom with IoT

We are excited to release the third edition of the Wio Terminal Classroom Series; Wio Terminal Classroom with IoT! This is our seventh episode of the third edition of the series and we thank you all for staying with us! In this show, Lakshantha explains how to use Wio Terminal as an IoT device and build IoT projects using the Wio Terminal! So we request you to stay tuned with our show and we hope this helps you to gain more knowledge on how to program with the Wio Terminal!

Seeed on YouTube

The All-New Raspberry Pi Pico is a microcontroller board based on the Raspberry Pi RP2040 microcontroller chip. It has been designed to be a low-cost, high-performance microcontroller board with flexible digital interfaces. Now you can perform machine learning inference on the Raspberry Pi Pico 2040 via Edge Impulse! Check the video below to learn more!

Also, don't forget to subscribe to our YouTube Channel to stay updated with our video releases on exciting products!

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If you have any questions or comments, please don't hesistate to hop on to our forum and discuss with us directly! We greatly value your feedback and opinions because we always grow and prosper together with our users and the community! See you next week!