Artificial Intelligence Solution Kits
Powered by Renesas Microprocessors
Enabling Intelligence from the Cloud to the Edge and Endpoint Sustainably
Our comprehensive AI/ML developer stack transforms vision, voice, and real-time analytics applications. With extensive portfolios in sensing, connectivity, computing, and actuation, we cover all IoT layers. Our rich software, tools, solution offerings, and partner ecosystem provide the essential elements to accelerate your AIoT designs.
Why Choose Renesas?
Comprehensive AI/ML developer stack for vision, voice, and real-time analytics use cases.
Tools and workflows for multiple developer journeys (bring-your-own-model, transfer learning, bespoke consulting and more).
Rich library of easy-to-find solutions (application examples, toolboxes, solution suites, hardware reference kits).
Broad ecosystem of trusted partners offering commercial-grade building blocks.
Why Decentralize Intelligence?
Traditionally, the IoT has been built on a cloud-centric intelligence architecture. To truly scale and enable intelligence at all levels of the network, a decentralized intelligence architecture is needed. This means running cloud-independent inference engines on power-efficient or tiny computers within the edge and endpoints.
Real-Time Response
Minimize latency by transforming data at the source.
Optimize processing for time-critical applications.
Security & Data Privacy
Minimize security concerns related to the transfer and flow of data.
On-device data handling tightly coupled to hardware root-of-trust.
Network Agility
Maximizing data gravity by operating on data at the source.
Reduced data transport improves power and cost efficiencies.
How Renesas Can Accelerate AIoT Designs
Renesas offers a comprehensive solution stack for AI/ML developers. A broad product portfolio spanning across sensing, connectivity, computing, and actuation covers all layers of the IoT. In addition, software, tools, solutions, and a partner ecosystem that has been purpose-built to accelerate your AIoT designs.
AI SOLUTION KITS
Easy-to-use Reference Design Platform for Real-time Analytics, Vision, and Audio
The AIK series are complete reference solutions designed for fast, simple integration of AI/ML technology for edge and endpoint systems. Each kit comes with highly-tuned AI/ML models combined in a multi-modal solution with optimized CPU performance requiring very low memory resources. The kit series provides a scalable approach enabling flexible selection of Renesas processors.
Target Applications
Agriculture
Transportation and Logistics
Home Automation
Consumer Electronics
Building and Industrial automation
Smart Infrastructure
AIK-RA6M3
AI Kit Reference Platform with RA6M3
Multiple and reconfigurable connectivity functions to expedite your AI/ML System. Easy-to-use hardware platform for multimodal AI/ML solutions based on the RA6M3 MCU from the RA Family of 32-bit MCUs.
The hardware platform is intended to be used for different kinds of AI/ML single or multimodal use cases supporting vision and real-time analytics. It enables various combinations of different plug-in sensors in combination with the available onboard analog microphones and camera.
It is supported by Reality AI Software for real-time analytics and by the Renesas Ready Partner Network for specific use cases.
AIK-RA4E1
AI Kit Reference Platform with RA4E1
Multiple and reconfigurable connectivity functions to expedite your AI/ML system. Easy-to-use hardware platform for multimodal AI/ML solutions based on the RA4E1 MCU from the RA Family of 32-bit MCUs.
The hardware platform is intended to be used for different kinds of AI/ML single or multimodal use cases supporting real-time analytics. It enables various combinations of different plug-in sensors in combination with the onboard available analog microphones.
It is supported by Reality AI Software for real-time analytics, and by the Renesas Ready Partner Network for specific use cases.
Video
IoT World 2022: Reality AI Sensorless Predictive Maintenance Demo
During the IoT World 2022 in Austin, Texas, Renesas showcased a sensorless predictive maintenance use case powered by Reality AI’s machine learning tools that enable a complete Auto-ML framework for real-time analytics applications.
