Take It to the Edge with the Texas Instruments SK-TDA4VM Starter Kit

The TI SK-TDA4VM is a versatile Edge AI computer vision platform to help you build robots, smart cameras, quality control, and other vision-based applications quickly and easily. Fully supported by Edge Impulse, it's simple to build a machine learning model, and then deploy it to the board.

Follow the steps below to complete this activity and be entered into our giveaway to win March's prize bundle - a TI SK-TDA4VM Stater Kit, Camera, Power Supply 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: Getting Started with the TI SK-TDA4VM Development Kit
- Resource #2: Smart Factory with TI TDA4VM
Complete the quiz below to show us what you learned!

Submissions close April 3rd 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 SK-TDA4VM contains a dual Cortex-A72 CPU and AI accelerator that can perform up to this many TOPS (trillion operations per second):*

46810

2. Which of these computer vision models is compatible with the TI Deep Learning (TIDL) AI Accelerator?*

YoloV3YoloV5YoloV8YoloX

3. True or False? Texas Instruments’ default OS (included in the box on a MicroSD Card) supports SSH connectivity to the board, to help ease remote development.*

TrueFalse

4. Which of the following computer vision sample applications are included in the SDK:*

Image ClassificationObject DetectionImage SegmentationAll of the above

Now that you’ve learned a bit about the TI SK-TDA4VM, what kind of projects would you find this board useful for? Are there any specific ideas or builds you have in mind, where the AI accelerator, expansion options, and multiple camera inputs could help make your project a success?*

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