Take It to the Edge: TinyML on the Arduino Nano 33 BLE Sense

Read the projects below to learn about voice control and digit recognition applications using the Arduino Nano 33 BLE Sense and Edge Impulse, then take a short quiz to show us what you learned

Follow the steps to complete this activity and be entered into our giveaway to win August's prize bundle - an Arduino Nano 33 BLE Sense board, DFRobot Gravity I/O Shield, DFRobot Gravity 27 Piece Sensor 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 project #1 and #2 below.
- Project #1: VoiceTurn - Voice-Controlled Turn Lights for a Safer Ride
- Project #2: Building a Spoken Digit Recognition Model with Edge Impulse
Complete the quiz below to show us what you learned!

Submissions close August 28th at 11:59PM Pacific.

Name*

First NameLast Name

Email*

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.

Country*

Street Address

Street Address Line 2

1. The Arduino Nano 33 BLE Sense contains what type of processor onboard?*

32-bit Arm Cortex-M032-bit Arm Cortex-M432-bit Arm Cortex-M532-bit Arm Cortex-M7

2. Feature Extraction is the process of:*

Discovering a value or a group of values that can be used to identify entities like objects, character, person, etc.Discovering features based on time and frequency characteristics that will help us to do classification.Discovering the correct number of samples needed for each class of data.Deploying the trained model to your device.

3. Edge Impulse makes use of this open source Machine Learning framework:*

TensorFlowONNXPyTorchCaffe

4. In the “Voice-Controlled Turn Lights” project, when listening for “Left” or “Right”, the Nano BLE 33 transmits your voice to the cloud for processing. True or False?*

TrueFalse

5. When performing a Training and Testing Split, data is automatically split into*

80% Training, 20% Testing20% Training, 80% Testing70% Training, 30% Testing90% Training, 10% Testing

Download and read Take It to the Edge terms & conditions and check the eligibility requirements before completing your entry.

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