Transform-CV is a COTS turnkey, deep learning-based computer vision solution designed for manufacturing inspection and automation. Developed in partnership between ADS and RADX Technologies, it delivers real-time, high-accuracy image analysis for tasks such as defect detection, measurement, and sorting, thereby helping manufacturers cut costs, improve productivity, and enhance quality assurance.
Moreover, Transform-CV is easily trained and fully compatible with standard hardware, running on PXIe and PCIe platforms equipped with NVIDIA GPUs under Windows or Linux. As a result, it offers seamless integration, rapid deployment, and scalable performance across diverse QA applications, empowering organizations to achieve smarter, faster, and more reliable inspection processes.
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.
