Optimal set up for manufacturing inspection system via mapping, and 3D scanning

Basically, a 3D scanning system comprises high-resolution cameras, optics, and AI algorithms integration to provide multiple benefits to large manufacturing units. Indeed, unlike touch probing, 3D scanning is one of most relevant computer vision application which provides conceptual view of the inspected part. 3D scanners can validate whether the material is sufficient to proceed with machining or not. Alternatively, Camera calibration is an important process in scanning system setup which has direct impact on system performance particularly precision. In this work we attempt to conceptually design and test a fully automated and low-cost scanner for producing three-dimensional models with millimeter-scale resolution for object measurement and inspection. Hence, a stereovision system is set up where pair of cameras is mounted to acquire image pairs to perform a scan. Promising and potential result is achieved by demonstrated analytical and mapped output.