The NINA-B306 Thing Plus is here along with two new AI single-board computers from NVIDIA!
NVIDIA releases their Jetson Orin Nano Developer Kit, which aims to accelerate entry-level edge AI applications.
You asked for it and we put the FS3000-1015 on a board. We also released the Person Sensor from Useful Sensors earlier this week!
WILDLABS is the central hub for conservation technology online, connecting 6,000+ conservationists, researchers, field biologists, engineers, developers, makers, and #tech4wildlife experts from around the world!
We are happy to announce the newest Machine Learning tool from Pete Warden, the Person Sensor!
Free resources range from downloadable, multimedia instructional materials to self-guided, certificate courses - all using the Jetson Nano as the primary hardware tool
Our Qwiic Connect System is growing in the IMU department and we announce a new Machine Learning and AI Concept Kit!
This is the final installment in a series about the Midwest Defenders' build for the OpenCV Spatial AI Competition.
Following up on last week's blog, we learn how Jesse programmed his team's submission for Open CV's Spatial AI competition.
This is the first part of a series on Jesse Brockmann's build for the OpenCV Spatial AI Contest.
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!
A new BME688 Sensor is now available along with a Raspberry Pi Pico Display Kit and the new Oak-D LITE!
From an automated mushroom farm to the first NFT in space! Read on to find out what happened at the Jan '22 Miami Hack Week!
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.
A new version of our Tsunami Super WAV Trigger is now available, as well as new machine learning boards from ArduCam!
Register for our second AI Workshop - Use the MicroMod Machine Learning Carrier Board and the Nordic nRF52840 MicroMod Processor to train and deploy your own machine learning model
Thank you!