Transform-CV is a COTS turnkey, deep learning-based computer vision solution for manufacturing inspection and automation. Developed by ADS and RADX Technologies, it delivers real-time, high-accuracy image analysis for tasks like defect detection, measurement, and sorting; cutting costs and improving productivity.
Easily trained and compatible with standard hardware, Transform-CV runs on PXIe and PCIe platforms with NVIDIA GPUs under Windows and Linux. It offers seamless integration, fast deployment, and scalable performance across Quality Assurance applications.
Accurately and repeatable detect and classify a wide range of visible and microscopic defects on a variety of UUTs.
Accurately and repeatable identify dimension features and defects that range in size from cms to microns.
Accurately and repeatable verify the presence and location of specified components, labels, and other key assembly items.
Comparison of Transform-CV vs. Conventional Rule-based System for adding a new feature or defects. Traditional computer vision solutions rely on rule-based deployment processes, which can be time-consuming rigid. ADS offers an AI-powered approach that significantly improves both the accuracy of visual inspection, enabling faster deployment and more adaptive quality assurance.
