September 28, 2023 /SemiMedia/ -- Renesas Electronics Corporation recently announced that it has created interfaces between its Reality AI Tools® and its e2 studio integrated development environment, enabling designers to seamlessly share data, projects and AI code modules between the two programs. Modules for real-time data handling have been integrated in Renesas MCU Software Development Kits1 to facilitate data collection from Renesas kits or customer hardware that use these microcontrollers (MCUs). This integration enables faster design cycles for artificial intelligence (AI) and tiny machine learning (ML) applications at the edge and endpoint of IoT networks.
Since Renesas acquired Reality AI in 2022, it has made a concerted effort to study, improve, and simplify AI design. Reality AI Tools, a software environment built to support the full product development of AI applications, allows users to automatically explore sensor data and generate optimized models. Now Renesas is providing a seamless data pipeline between Reality AI Tools and the e2 studio environment used to program Renesas MCUs. Sensor data collected from Renesas MCU development kits and visualized and labelled in e2 studio can now be transferred to associated projects in Reality AI Tools with the push of a button. In addition, users now have the ability to download and integrate AI/ML classifiers generated in Reality AI Tools from within e2 studio.
“Successful AI implementations are built by developing and training models with real world input from sensor data,” said Mohammed Dogar, Vice President of Global Business Development and Ecosystem at Renesas. “By providing seamless data sharing between our Reality AI Tools and e2 studio products, we’re providing the market’s best solution to enable designers to quickly build accurate and powerful AI applications.”
In addition to data transfers, Renesas is providing cross-platform project awareness between embedded and AI environments. Users can now synchronize and transfer lists of projects in e2 studio from Reality AI Tools. They can also associate an e2 studio project with a Reality AI Tools project and create a new Reality AI Tools project from within e2 studio.
Renesas is also building a library of application examples and reference solutions internally and in collaboration with ecosystem partners. The examples offer a proof-of-concept or blueprint for specific use cases. The Renesas AI application library now features over 30 reference solutions for use-cases ranging across real-time analytics, vision and voice applications.
For more information about Renesas’ AI solutions, please visit renesas.com/ai.
