Algolux Collaborates with Renesas on R-Car Camera Optimization for Computer Vision
Summary
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. 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. “As an industry-recognized leader in robust and scalable perception solutions, Algolux continues to democratize automated camera optimization, reducing the manual ISP tuning burden for developers. “Thanks to our close collaboration with Renesas, Algolux is in a unique position to help automotive ADAS and autonomous vehicle vision systems teams using R-Car SoCs. Atlas uses machine learning to significantly improve image quality and computer vision accuracy, while addressing painful resource and schedule risks with industry-leading scalability,” said Allan Benchetrit, CEO of Algolux.