R-Carv3h provides excellent TOPS / WATT performance for tip computer vision and provides a migration path to NCAP 2025. On February 9, 2021, Japan Tokyo, Japan-Global Semiconductor Solutions Supplier Ruisa Electronics Group (TSE: 6723) today announced that the latest upgrade R-Carv3h on-chip system (SOC) is a significant increase in smart camera applications Deep learning performance, including driver / passenger monitoring system (DMS / OMS), car front camera, long-rangedroid system, and up to Delta Level2 + grade suitable for automatic parking functions of most vehicles. The upgrade SOC integrates sensor fusion on real-time domains, up to ASILC-level indicators, and an architecture for smart computer visuals. It provides high-performance, low-power solutions for OEMs and first-level suppliers with highly competitive systems, and supports the latest NCAP2020 requirements and migration to NCAP20253 star technology roadmaps. Based on the SOC released in February 2018, the latest identification technique for convolutional neural network (CNN) is combined, and the performance of the Upgrade R-Carv3h in CNN processing is 4 times the earlier version, and remains While low-power levels, implementation includes all computer visual IP integral processing performance in 7.2 TOPs. Highly integrated SOC supports up to ASILC level security indicators on real-time domains, thereby reducing the use of external security microcontrollers (MCUs) to manage sensor fusion and ultimate decision-making requirements. R-Carv3H has a rich and proven IP, which supports a perceived stack, with radar and / or laser radar sensors and ISPs that support up to 8 million megapixel cameras, enabling OEMs and first-level suppliers to lower Material cost is achieved faster listing speed. Vice President, Vice President of Renesa Electronic Car Digital Product Marketing Division, said: "With the new method of realizing the new method of achieving intelligent camera applications, driver monitoring, parking assist, driver identification, and passenger sensing. It is increasingly popular, promotes higher demand for deep learning functions. The upgraded SOC allows R-Carv3h users to get higher computer visual performance, and to create a computer vision of the next generation of front camera systems. Renesa's open-ended ADAS and high-automatic driving applications can expand the SOC platform to grow, we are honored to rely on the platform to continue to innovate for our customers. "The key features of R-Carv3HSOC provide up to 7.2TOPS computing performance , Including 3.7TOPS for CNN, and has an optimized performance and power consumption balance support ASILD-level development process to enable complete SOC system functions to support ASILB level (sensor layer, application processor) and ASILC level (real-time domain) security indicators The metrics are fully compatible with the volume of R-Carv3HSoc hardware and hardware, including CAN, Ethernet AVB and FlexRay have full set of video processing and image recognition IP for advanced sensing and identification, including CNN-IP , Computer vision engine, image distortion correction IP, stereo vision, classifier and dense light stream IP upgrade R-Carv3h as a member in the SOC product lineup in Rissa, add to open, flexible renesasautonomyplatform, this platform Provides intact scalability from entry-level NCAP to high automatic driving systems to the OEM and one level vendor. Customers can also combine R-Carv3HSOC with Rissa High Performance RH850MCU, integrated power management IC, and power transistor devices, providing the desired key components for increasingly complex functional security systems. The supply information upgrade R-Carv3h is scheduled to be mass production in the quarter of 2022. Read more
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