Take It to the Edge: The Extremely Extensible ESP32

Read the projects below to get acquainted with Edge Impulse and the ESP32’s capabilities using the Edge ML platform, 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 September's prize bundle - an Espressif ESP-EYE 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: Gesture Classification with ESP32 and TinyML
- Project #2: ESP32-CAM: TinyML Image Classification - Fruits vs Veggies
Complete the quiz below to show us what you learned!

Submissions close October 2nd 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 ESP32-Cam can expose it's camera wirelessly via:

2. Using a higher Alpha value can increase the accuracy of a machine learning model, with what effect?

3. The Data Forwarder in the Edge Impulse CLI is used to:

4. The _________ can help you to visually determine how well your data collection and classes are separated.

5. The ESP32 microcontroller is powerful enough to run machine learning model inferencing such as:

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

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