Eta Compute’s Low Power AI Vision Board Accelerates Design, Test, and Deployment of Transformative Embedded Vision Solutions

Eta Compute and Edge Impulse will co-host a free webinar on March 31 to demonstrate the powerful advantages of the AI Vision Board and Edge Impulse’s embedded machine learning workflow.

Eta Compute Inc. announced its integrated, ECM3532 AI Vision Board, the lowest power embedded vision board that helps developers accelerate time to market. The board makes it possible to deploy vision applications that last for years on a single battery.

“With computer vision, devices can understand the world around them, enabling them to be more capable, safer, easier to use, and more autonomous,” said Jeff Bier, founder of the Edge AI and Vision Alliance. “But vision algorithms are very compute-intensive, and the power consumption required to deliver the necessary processing performance has made these capabilities impractical for many potential applications.  We applaud Eta Compute’s innovation and collaboration with other Edge AI and Vision Alliance companies, which is making vision feasible in many new power-sensitive applications.”

Eta Compute’s ECM3532 AI Vision Board’s small form factor (1.5″x1.5″), embedded battery, and low-power IoT/Bluetooth Low-Energy connectivity make it ideal for prototyping, field testing, and deployment of AI embedded vision applications. Its ultra-low-power operation eliminates barriers with traditional, tethered solutions or boards that have extremely limited battery life and high-power consumption. The board includes three sensors (ambient light, microphone, accelerometer/gyroscope), a low-power Himax HM0360 camera, and an expansion connector. The AI Vision Board is the second in a growing family of boards, modules, and systems designed by Eta Compute.

“Eta Compute delivers one of the most integrated platforms for the development of sophisticated, modern hardware. Together with Edge Impulse, Eta Compute developers can design, test, and deploy rapid embedded applications across a multitude of workloads from object detection, to classification, and actual counting, across the human, animals, and machine spectrums” said Zach Shelby, CEO, and co-founder of Edge Impulse.

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