Machine vision cameras may be smart, but they won’t be effective unless an engineer is wise enough to properly match them to an application. This statement holds true for any type of manufacturing, especially that involving medical devices.
For example, Eli Lilly and Co. recently installed a high-resolution (5 megapixels) smart camera to inspect subassemblies for one of its medical devices after the standard-resolution camera proved unreliable. Each subassembly consists of two cylinders that are stacked on top of each other and glued together so they share a common centerline.