Edge Impulse, the leading development platform for ML on edge devices, today announced a joint initiative to advance the professional implementation of machine learning by integrating Renesas’ DRP-AI Translator software directly into Edge Impulse Studio.
Edge Impulse Studio enables developers to quickly and easily build and optimize solutions using real-world data. The company’s platform streamlines the entire process of collecting and structuring datasets, designing ML algorithms with pre-built building blocks, validating the models with real-time data, and delivering the fully optimized, production-ready result to an edge target.
Edge Impulse Studio now offers Renesas DRP-AI Translator acceleration capabilities right in the studio environment.
The DRP-AI is Renesas’ low-power, proprietary AI accelerator. By integrating the DRP-AI Translator software into Edge Impulse Studio, users can now access its functions within the studio environment instead of having to run them externally.
Out-of-the-box hardware support for integration is currently available for Renesas’ new RZ/V2L evaluation board kit, which offers high-precision AI inference capabilities combined with best-in-class power efficiency. Powered by DRP-AI and Dual 1.2GHz Arm® Cortex®-A55, RZ/V2L is ideal for researching industrial surveillance and visibility solutions.
“A sound technology strategy involves pairing reliable hardware with intelligent software,” said Zach Shelby, CEO and co-founder of Edge Impulse. “I am very excited to be working with Renesas to make our machine learning software tools even more powerful by giving users direct access to the features that make Renesas hardware world-class.”
“Edge Impulse offers our customers a state-of-the-art cloud environment that works seamlessly with Renesas’ RZ/V2L MPUs,” said Shigeki Kato, vice president of Renesas’ Enterprise Infrastructure Business Division. “Using the integrated development environment, engineers can easily create comprehensive AI machine learning solutions for a wide range of applications, including industrial surveillance systems, smart buildings, smart cities and other vision-based inspection systems.”
