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.

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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

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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.

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

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:

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

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?

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

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