June 6, 2022

KitovSystems400x275Israel-based Kitov.ai, which develops smart visual inspection technologies, has announced CAD2SCAN, a CAD-based automated inspection planning tool. The latest feature of the Kitov Smart Planner, CAD2SCAN combines with Kitov’s Smart Visual Inspection and Review Station to automate inspection solutions that are too difficult or time-consuming to manually program and deploy.

“CAD2SCAN represents a leap forward in the planning of visual inspection, especially for parts with complex 3D geometry and intricate inspection requirements,” said Yossi Rubner, founder and CTO of Kitov.ai. “Allowing quality managers to define their inspection requirements directly on the part’s CAD model, simply and intuitively, will save weeks or even months compared to defining such inspection manually. Our software automatically takes all available information from the CAD, including geometric and component specifications, and uses it for the planning of the robot inspection.”

Rubner added that inspection can be optimized because the system fulfills the requirements, guarantees full coverage, reduces the number of images needed, minimizes the total inspection time, and calculates the best viewing and illumination angles for each specific feature of interest. The planner also captures multiple inspection points in a single image when possible, which also reduces cycle time.

Semantic information extracted from the CAD is passed on to Kitov’s semantic detectors, which use the information for better inspection, the company said. For example, in surface inspection, information on material properties, such as surface reflectance, is used to determine the best illumination angles. Other semantic detectors, such as labels, barcodes and connectors can also benefit from relevant semantic information extracted from the CAD model.

“Automatic CAD-based inspection planning is a game-changer for industries that manufacture complex parts and products,” the company said. “For example, CAD2SCAN technology improves the inspection of single-material parts with complex 3D geometric shapes, such as turbine engines, blades, wheels, and metal molding. CNC parts, where it is very hard and time-consuming to carry out full inspection manually, and custom-made or other low-volume parts (such as medical implants or 3D-printed parts) can also benefit from this system, Kitov said.

The new technology is implemented as a plugin to common CAD software systems (currently supported for SolidWorks and Creo), and also supports the evolving Quality Information Framework (QIF) ISO standard, and can parse visual inspection requirements embedded into it.

For more information on the company’s automated inspection systems, visit the Kitov website here.