Like Raspberry Pi, NVIDIA Jetson, and Google Coral

▲ Top pHAT (left): The SparkFun Top pHAT supports machine learning interactions including voice control with on-board microphones & speaker, graphical display for camera control feedback, and access to the RPi camera connector. Auto pHAT (right): The SparkFun Auto pHAT is an all-in-one robotics package that quickly adds robot functionality and support to your single-board computer. The Auto pHAT can drive two small DC motors and up to four servo motors in a straightforward manner.
SparkFun Electronics has announced the release of two new add-on boards - the SparkFun Top pHAT and SparkFun Auto pHAT - capable of working with the NVIDIA Jetson Nano, Google Coral, and any type of Raspberry Pi with a 2x20 GPIO header.

"While working with the newest development platforms on the market, we realized there weren't many options available that made Machine Learning easily interactive, or raised robotics to the level these development systems demand," said Kirk Benell, SparkFun's Chief Technology Officer.

"We knew that we had the means to create unique solutions that can help bring out the true capabilities of your new Pi, Jetson, or Coral. The results of this effort are the two boards we're releasing today."

The SparkFun Auto pHAT is a unique robotics peripheral with motor and servo control, as well as a built-in IMU(Internal Measurement Unit).

The SparkFun Top pHAT attaches to the top of a stack with a full-color LCD, user-interface controls, a microphone and more, making it perfect for Machine Learning operations.

With releases planned for at least two more pHATs in 2020 alone, SparkFun hopes to establish a series of boards with specialized purposes that can best fit a defined use case.

"The main goal of SparkFun pHATs is to enable anyone to easily expand the capabilities of their single board computers - simply stack and build," said SparkFun CEO Glenn Samala.

"Whether prototyping a new product or working on an at-home project, the pHATs make your work more efficient and easy."

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#Raspberry Pi #NVIDIA Jetson Nano #Google Coral
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