Automatically maximize computer vision results by R-Car Series's ISP optimization in the cloud.
Cameras are the sensor of choice for system developers of safety-critical applications. However, camera development currently relies on expert imaging teams to manually tune camera architectures.
This painstaking approach is expensive, can take many months, requires hard-to-find expertise, and depends on visual subjectivity. As such, this process does not ensure that the camera provides the optimal output for computer vision algorithms.
The Atlas Camera Optimization Suite is the industry’s first set of machine-learning tools and workflows that automatically optimizes camera architectures to improve computer vision results by up to 25 mAP points.
Atlas significantly improves computer vision results in days vs. traditional approaches that do not deliver optimal results even after many months of manual tuning. In turn, vision system teams can better scale their limited resources, reduce costs, and shrink development time – a game-changer for developers of vision systems.
The Atlas tools chain is available on the R-Car V series and has been optimised to take into account the specific features of Renesas tailored ISP for Human Vision and Machine Vision.