Renesas simplifies AIoT system development

Renesas Electronics Corp. has integrated its Reality AI Tools and e² studio integrated development environment (IDE) to simplify AIoT system development, allowing designers to seamlessly share data, projects and AI code modules between the programs. By creating these interfaces between embedded and AI/ML projects, designers will be able to experience faster design cycles for AI and TinyML applications at the edge and endpoint of IoT networks.

(Source: Renesas Electronics Corp.)

Modules for real-time data handling are now integrated in the Renesas MCU Software Development Kits. These include the Flexible Software Package (FSP) for RA, Firmware Integration Technology (FIT) for RX and Software Integration System (SIS) for RL78. This will facilitate data collection from Renesas kits or customer hardware using the MCUs.

Reality AI Tools allow engineers to generate and build TinyML/Edge AI models using advanced signal processing, automatically exploring sensor data and generating optimized models. The tools contain analytics that identify the best sensor or combination of sensors, locations for sensor placement and automatic generation of component specs. Fully explainable model functions in terms of time/frequency domains and optimized code for Arm Cortex M/A/R implementations is included. The e² studio Eclipse-based IDE for Renesas MCUs offers a range of extended functions, covering all development processes from the downloading of sample code to debugging.

Based on the new integration, sensor data collected from Renesas MCU development kits and visualized and labelled in e2 studio can be easily transferred to associated projects in Reality AI Tools. Users can download and integrate AI/ML classifiers generated in Reality AI Tools from within e2 studio.

With cross-platform project awareness between embedded and AI environments, users can synchronize and transfer lists of projects in e2 studio from Reality AI Tools, associate an ane2 studio project with a Reality AI Tools project, and create a new Reality AI Tools project from within e2 studio.

Further supporting AIoT system development, Renesas is also building a library of application examples and reference solutions, offering a proof-of-concept or blueprint for specific use cases, said the company. The Renesas AI application library currently features over 30 reference solutions for use-cases ranging across real-time analytics, vision and voice applications.