Take It to the Edge with Silicon Labs' Smart Sensor Systems

When deploying smart devices in certain environments your available space and power requirements may be limited. The Silicon Labs xG24 Developer Kit is a sensor-rich platform for prototyping AIoT devices, able to run TinyML models on just a coin-cell battery. With a dedicated AI accelerator, 6 onboard sensors, BLE, and a compact board about the size of two postage stamps, the xG24 can fit in tight places and capture a wealth of environmental information.

Follow the steps below to complete this activity and be entered into our giveaway to win January's prize bundle - a Silicon Labs EFR32xG24 Dev Kit and Edge Impulse Swag.

Join the Edge Impulse community at hackster.io/EdgeImpulse
Sign up for an Edge Impulse account at studio.edgeimpulse.com/signup
Review resources below.
- Resource #1: Occupancy Sensing - SiLAbs EFR32MG24 Project
- Resource #2: Object detection - SiLabs xG24 Dev Kit Tutorial
Complete the quiz below to show us what you learned!

Submissions close January 29th at 11:59PM Pacific.

Name*

First NameLast Name

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example@example.com

Hackster Profile URL Link*

Please include the entire URL link to your Hackster Profile: e.g. https://hackster.io/user-name

Email Used to Sign Up to Edge Impulse*

Please include the email address you used to create an Edge Impulse account.

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1. Which of the following sensors are present on the Silicon Labs xG24 Dev Kit board?*

MicrophoneAccelerometerTemperatureAll of the above

2. The EFR32MG24 SoC used in the Silicon Labs xG24 Dev Kit contains a hardware AI/ML accelerator:*

TrueFalse

3. Firmware can be flashed to the Silicon Labs xG24 Dev Kit via USB using the following software application:*

Edge Impulse CommanderSiLabs CommanderSimplicity CommanderxG24 Commander

4. To perform Object Detection using a camera and an MCU like the EFR32MG24, which algorithm in the Edge Impulse Studio can be used?*

Yolov8FOMOTensorRTPyTorch

5. Machine Learning projects need to set aside some data for testing, after training has been complete and a model built. What is an ideal amount to split for train / test?*

70/3075/2585/1590/10

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