AI tools enable designers to share data between embedded and AI/ML projects

Renesas Electronics Corporation announced that it has created interfaces between its Reality AI Tools and its e2 studio IDE, enabling designers to seamlessly share data, projects, and AI code modules between the two programs. Modules for real-time data handling have been integrated into Renesas MCU Software Development Kits FSP for RA, Firmware Integration Technology for RX and Software Integration System for RL78. to facilitate data collection from Renesas kits or customer hardware that uses these MCUs. This integration allows faster design cycles for AI and tiny ML applications at the edge and endpoint of IoT networks.

Since the company 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 explore sensor data and generate optimised models automatically. Now, the company is providing a seamless data pipeline between Reality AI Tools and the e2 studio environment used to program the company's MCUs. Sensor data collected from its MCU development kits and visualised and labelled in e2 studio can now be transferred to associated projects in Reality AI Tools with the push of a button. Also, users can now download and integrate AI/ML classifiers generated in 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, the company supplies cross-platform project awareness between embedded and AI environments. Users can now synchronise 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 the e2 studio.

The company 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 AI application library now features over 30 reference solutions for use cases across real-time analytics, vision and voice applications.