Transform-CV is a COTS turnkey, deep learning-enabled computer vision solution designed to revolutionize manufacturing inspection and automation. Developed by ADS and RADX Technologies, it delivers real-time, high-accuracy image analysis for defect detection, measurement, sorting, and more — reducing costs and boosting productivity. Easily trained (not programmed) and compatible with industry-standard hardware, Transform-CV runs on PCIe and PXIe platforms with NVIDIA GPUs under Windows or Linux. It integrates seamlessly into existing systems, offering fast deployment, low total cost of ownership, and scalable performance across a wide range of quality assurance applications.
Faster throughput with superior accuracy and consistency vs. manual inspection.
Intuitive interface and seamless integration with popular manufacturing software.
Scalable COTS optics, AI, and GPU support for diverse applications and budgets.
COTS components and user-driven training cut costs vs. proprietary CV systems.
Accuracy and repeatably detect and classify a wide range of visible and microscopic defects on a variety of UUTs.
Accuracy and repeatably identify dimension features and defects that range in size from cms to microns.
Accurately and repeatably verify the presence and location of specfiied components, labels, and other key assembly items.
Comparision 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 and rigid. ADS offers an AI-powered approach that significantly improves both the accuracy of visual inspection, enabling faster deployment and more adaptive quality assurance.