Geometric image pattern matching tool kit for industrial vision application The geometric comparison algorithm is used to identify the sample image according to the contour shape. Even if the target shape is defective, blocked by foreign objects, or even partially out of the field of view, it can still be effectively identified. Multiple Development Platforms：OvkPat2 provide excellent support for WINDOWS and supported development platforms include : Visual Basic、Visual C++、Visual C#、C++ Builder、Delphi
Fast / Robust Algorithm：Fast / robust correlation based matching algorithm; tolerant for 0~360 degrees skew detection AxVisionInspectionFrame component provides orientation for measurement or ROI components  frames Reference Applications：Target Matching、Simple Vision Alignment、Pattern Recognition...etc Absolute Coordinate Support：Support absolute coordinate output when search region is an ROI (Region of Interest) Intensity Normalized Algorithm：Well-designed intensity normalized algorithm help users to find the matches even in poor light conditions (Show as the follow) Sample image mask function：the sample image can be removed by hollowing out the area that does not need to be compared non-rectangular sample image function：the sample image can be rectangle/circle/ring/polygon when learning, and mask hollowing is also supported after learning is completed The target dot is completely or partially obscured by the translucent non-woven material, the contrast is extremely poor, and it can still be effectively identified when it exceeds one-third of the field of view