Particularly useful for parts with complex geometries, CAD2SCAN automatically extracts specific geometric and semantic information for each inspection requirement marked on the CAD. This information is passed on to the relevant semantic detectors performing the inspection tasks. In addition to having built-in semantic detectors such as surface, label, screw, and existence detectors, Kitov.ai’s open software platform allows easy integration of third-party detectors that can benefit from the planning and reporting services provided by the platform. CAD2SCAN also optimizes inspection plans with accuracy and throughput in mind, guaranteeing full coverage while reducing robot motion and the number of images needed to cover all regions of interest, minimizing total inspection time.
Automatic CAD-based inspection planning is a game-changer for industries that manufacture complex parts and products. CAD2SCAN technology is implemented as a plugin to common CAD software systems. (It’s currently available for SOLIDWORKS and Creo.) It also supports the evolving QIF (quality information framework) ISO standard and can parse visual inspection requirements embedded into it.
The CAD2SCAN project was funded by the Israel–U.S. BIRD (Binational Industrial Research and Development) Foundation and completed in partnership with Capvidia, a provider of true model-based definition technology.
For more information on Kitov.ai’s intelligent automated planning and inspection systems and how they are used in the electronics, automotive, defense and aerospace, and medical industries, email us at info@kitov.ai.
TAGS: ARTIFICIAL INTELLIGENCE, CAD, MANUFACTURING, SOFTWARE, VISION
