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
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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.
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
| Security & Data Privacy
| Network Agility
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