This is the final installment in a series about the Midwest Defenders' build for the OpenCV Spatial AI Competition.

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Following up on last week's blog, we learn how Jesse programmed his team's submission for Open CV's Spatial AI competition.

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This is the first part of a series on Jesse Brockmann's build for the OpenCV Spatial AI Contest.

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This week on the OpenCV Weekly Webinar Jesse Brockmann shows off his very cool LEGO-sized robot navigation system with tiny road signs and everything!

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A new BME688 Sensor is now available along with a Raspberry Pi Pico Display Kit and the new Oak-D LITE!

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Our new MicroMod Ethernet Function Board is now available! Also, new products from SparkX, and more!

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A look at some of the demos Bosch had on display at the annual CES Conference.

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Learn all about how to use implement enterprise-grade safety systems for large-scale factories using computer vision and machine learning with this workshop - now available without registering.

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The AWS IoT ExpressLink is available with new Raspberry Pi kits from Kitronik, and a new imaging sensor from Luxonis.

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Our new Qwiic Alphanumeric Displays get their own kit, a new robotics development board from Holybro, and a different version of the OpenMV Cam!

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Register for our latest AI workshop - Use the NVIDIA Jetson Nano 2GB to analyze data, run systems, and improve processes for a fully automated smart factory.

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We've added more workshops to the Machine Learning @ Home Kit hookup guide!

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A new version of our Tsunami Super WAV Trigger is now available, as well as new machine learning boards from ArduCam!

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Join SparkFun as we explore how to utilize machine learning around your home using the NVIDIA Jetson Nano 2GB.

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We're releasing the living hookup guide for the Machine Learning @ Home Kit! Put what you've learned in the DLI Course to practice and make your home a little smarter with machine learning!

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We teamed up with Edge Impulse and a few of our friends to produce a series of virtual workshops to learn new machine learning skills and theory.

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A look at how many environmental and agricultural problems can be addressed with the same framework of audio analysis and environmental sensing through machine learning!

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