MIPS Project Challenge:
API sought to develop algorithms and software for 3D inspection using point cloud data after being approached by an automobile manufacturer to solve a part-scanning problem.

Project Scope:
UMD researchers helped develop the core of API’s first-generation RapidSca technology, which is a non-contact scanner taking dimensional and geometric 3D scans of objects. The first generation of Rapidscan took images while specialized light patterns were being projected on the object using a computerized projector.  These images and light patterns were analyzed together through an algorithm developed by Gupta and Tao Peng, a former Ph.D. student in the department of mechanical engineering. The 3D models were created as “point clouds” and were examined against the product’s specifications.

Based upon initial technology development through MIPS, API has advanced the Rapidscan technology to where it utilizes stereo imaging with patented techniques to improve 3D edges under any lighting condition. Rapidscan projects infrared random optical patterns while advanced dynamic range sensors capture 3D data under any ambient lighting condition. API’s patented techniques allow for variable resolution depending upon the requirements of the feature to be extracted.