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Utilize this kit to turn your Jetson Nano into a mobile machine with things like object following, collision avoidance via th…
With the release of the Jetson Nano™ Developer Kit, NVIDIA® empowers developers, researchers, students, and hobbyists to e…
The NVIDIA® Jetson Nano™ Developer Kit delivers the performance to run modern AI workloads at a small form factor, low pow…
The RedBoard Artemis takes the incredibly powerful Artemis module from SparkFun and wraps it up in an easy to use and familia…
The OpenMV H7 Camera is a small, low power, microcontroller board which allows you to easily implement applications using mac…
The RedBoard Artemis Nano is a miniature extremely versatile implementation of the Artemis module.
The 4 GB Raspberry Pi 4 features the ability to run two 4k resolution monitors, to run true Gigabit Ethernet operations, all …
The RedBoard Artemis ATP has 48 GPIO and this board breaks out all of them in an Arduino Mega format.
The Artemis Module from SparkFun is the first FCC certified, open-source, Cortex-M4F with BLE 5.0 running up to 96MHz and wit…
The SparkFun Artemis Thing Plus takes our popular Feather footprint and adds in the powerful Artemis module for ultimate func…
The Pixy2 CMUcam5 is smaller, faster and more capable than the original Pixy. The Pixy2 can learn to detect objects that you …
The SparkFun Edge Development Board powered by TensorFlow is perfect begin using voice recognition without relying on the ser…
The 2 GB Raspberry Pi 4 features the ability to run two 4k resolution monitors, to run true Gigabit Ethernet operations, all …
The JeVois Camera is a low cost, all-in-one 1.3MP machine vision camera.
The Intel® Movidius™ Neural Compute Stick (NCS) is a tiny fanless deep learning USB drive designed to learn AI programming…
Built on the proven BeagleBoard.org® open source Linux approach, BeagleBone® AI fills the gap between small SBCs and more p…
A fully-integrated system for accelerated ML applications (includes CPU, GPU, Edge TPU, Wi-Fi, Bluetooth, and Secure Element)…
Integrate the Edge TPU into legacy and new systems using an M.2 B+M key interface.
Integrate the Edge TPU into legacy and new systems using an M.2 A+E key interface.
Integrate the Edge TPU into legacy and new systems using a Mini PCIe interface.
An accessory board that provides temperature, light, and humidity sensing for IoT applications.
Neural net system in a USB Stick.
Machine learning development board from Google.
The Coral USB Accelerator is a USB device that adds an Edge TPU co-processor to your system.
