In collaboration with leading universities and leveraging its own expertise in imaging,computer vision, and machine learning, Algolux has developed a machine learning platform designed for optimizing vision systems. The system, CRISP-ML, is an optimization platform based on its machine learning solver that tunes the imaging and computer vision algorithms based on standard image test charts, tagged training images, and Key Performance Indicator (KPI) targets to achieve the required image quality, vision accuracy, power, and performance. As the solver iterates, it generates reports of its progress toward achieving these KPIs, and outputs image files with data overlays to compare against the known good input images. Once KPIs are determined, CRISP-ML exports the optimal parameters for each system configuration of optics, sensors, and algorithms tested.
To Learn More:
Contact:Algolux
Headquarters: Montréal, QC, Canada
Product: CRISP-ML vision optimization platform
Key Features: Optimized parameters for ISP and computer vision, customized reporting, images with decision overlays for visual inspection.
What Algolux says:
View more information on CRISP-ML.
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