Algolux Collaborates with Renesas on R-Car Camera Optimization for Computer Vision
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Cloud-enabled Atlas workflow allows vision system designers using the Renesas R-Car SoCs to securely scale and deploy automated camera optimization to quickly maximize vision system performance
April 6, 2021 – Algolux, the leading provider of robust and scalable perception solutions, has announced its collaboration with Renesas, a premier supplier of advanced semiconductor solutions, to enable vision system design teams to automatically optimize cameras based on R-Car system-on-chips (SoCs) at scale with the new cloud-enabled Atlas Camera Optimization Suite.
Atlas automates today’s months-long manual ISP tuning process to maximize computer vision accuracy and image quality in only days, an improvement of up to 100x in scalability and resource leverage. The workflow permits rapid evaluation of different camera sensors and lenses for cost reduction, best performance, or to adapt to changes in customer requirements. For teams developing computer vision applications, Atlas can determine the optimal ISP parameter set to for highest accuracy, which is not possible with today’s manual ISP tuning approaches.
The cloud-enabled workflow supports ISPs embedded in Renesas R-Car SoCs, such as the R-Car V3H and R-Car V3M for intelligent and automated driving (AD) vehicles, and the recently announced V3U ASIL D SoC for advanced driver assistance systems (ADAS) and AD systems.
In a recently published case study with a leading automotive Tier 1, Atlas was applied to their vision system based on the Sony IMX490 HDR sensor and the Renesas R-Car V3H ISP. Object detection accuracy was improved by up to 48 mAP points vs. the manual image quality tuned baseline across well-illuminated to very dark scenarios.
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