Take It to the Edge with Industry Applications of Edge AI

Edge Impulse makes it easy for beginners to add machine learning to their projects, using friendly hardware from companies like Arduino and Raspberry Pi. But, leveraging edge AI is becoming a common practice in many enterprises and industries too - helping to improve operations, reduce machine downtime, improve healthcare, and make existing products smarter.

Follow the steps below to complete this activity and be entered into our giveaway to win February's prize bundle - a Nordic Thingy:53 Development 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.
- Project #1: Surface Crack Detection and Localization w/Seeed ReTerminal
- Project #2: Gelāre: Depth-sensing & EdgeImpulse powered Assistive-Robots
Complete the quiz below to show us what you learned!

Submissions close March 5th 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. Adding this type of layer to an image classification machine learning model can help localize the object, without having to draw bounding boxes and perform object detection.*

Global Account PoolingGlobal Average PoolingLocal Average PoolingLocal Annotation Pooling

2. This component in the Edge Impulse Studio can help you to visualize your dataset and its generated features:*

Feature ExtrapolationFeature ExtensionFeature ExplorerNone of the Above

3. Depth maps and 3D representation of an environment like those produced by an OAK-D camera can be helpful for object detection because they allow for determining:*

Relative size of objectsDistance from cameraRelative position of objectsAll of the Above

4. Instead of detecting bounding boxes, Edge Impulse’s FOMO object detection algorithm predicts:*

The object’s centerThe object’s diameterThe object’s distance from centerThe object’s distance from camera

Now that you have seen just a few examples of how machine learning can play a role in industries and enterprises, how would you apply edge AI to improve your organization’s (or an organization of your choice) products and services?*

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