SparkFun Releases 'Super' Low-Power Edge Board for Voice, Gesture Recognition

Boulder, Colo.-based SparkFun Electronics on Monday announced the release of the SparkFun Edge, a new development board that the company says it created the board combination with Google's TensorFlow team specifically for artificial intelligence on the edge that focuses on gesture and voice recognition.

The board features Ambiq's recently released Apollo 3 system on a chip (SoC) with a Cortex M4 processor, 384KB of RAM and 1MB flash storage, which the company says lets the SparkFun Edge "run for several days on a coin cell battery."

According to the announcement, the chip runs TensorFlow Lite "using only 6uA/MHz."

"We wanted to show examples of TensorFlow running on embedded systems at a super-low power -- we needed a tool to do that," commented Google Engineer Peter Warden in a prepared statement. "We talked with SparkFun and Ambiq and now we are able to share this device with the world."

Developers get access to the various sensors on the chip, Bluetooth, microphones, accelerometer and camera connector. Full specs can be found on the product page, linked above.

The software for the SparkFun Edge is open source, and can be found on GitHub here.

More information on ordering the SparkFun Edge developer boardcan be found here. Its list price as of publication of this article was $14.95.

About the Author

Becky Nagel is the former editorial director and director of Web for 1105 Media's Converge 360 group, and she now serves as vice president of AI for company, specializing in developing media, events and training for companies around AI and generative AI technology. She's the author of "ChatGPT Prompt 101 Guide for Business Users" and other popular AI resources with a real-world business perspective. She regularly speaks, writes and develops content around AI, generative AI and other business tech. Find her on X/Twitter @beckynagel.