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Renesas AI Solutions

 

 

Renesas' comprehensive AI/ML developer stack transforms Vision, Voice, and Real-time Analytics applications. With extensive portfolios in sensing, connectivity, computing, and actuation, Renesas covers all IoT layers. Renesas's rich software, tools, solution offerings, and partner ecosystem provide the essential elements to accelerate your AIoT designs.

 

Key AI Categories

Real Time Analytics

Reality AI is an Edge AI software development environment that combines advanced signal processing, machine learning, and anomaly detection on every MCU/MPU Renesas core.

AI Vision

Vision AI leverages advanced machine learning algorithms and computer vision techniques to enhance various detection tasks such as defect detection, people detection, object detection and more.

AI Voice

Renesas' voice and facial recognition solutions can provide secure access to individuals based on biometric feedback with very high computational capabilities and on-chip hardware acceleration.

 

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.

Resources

    Simplifying AI Deployment from the Cloud to Edge and Endpoint
    Voice and Vision Development

 

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.

Applications Videos
  Edge Voice User Interface (VUI)
  Power & Timing System for AI Accelerator Card
  Robot Controller with Image Processing RTOS MPU
  Smart Room Control With AI Voice Recognition
  Vision AI Gateway

Note: Only requests submitted via Future's Registration Form will be reviewed and followed.

Webinar

Lightweight AI for Predictive Maintenance Using Reality AI Tools®

Accelerate Embedded Vision AI System Development with RZ/V2L SBC

Renesas Voice UI Hands‑On Lab