Auto-maker Ford has been making some noise about their “dirt detection system”. This uses 16 “digital cameras” and “reflected light” (now there’s an innovation!) to find tiny blemishes in painted car and truck bodies. The video below shows the system but is lacking in the kind of technical content that satisfies us machine vision specialists.
The vehicle bodies pass through an array of fluorescent tubes, which we see clearly reflected as white lines in the paint. Does this mean a form of triangulation is used to create a point cloud? Would that give sufficient resolution to find specks of dirt in the paint?
Would darkfield lighting be a more effective approach?
The associated press release, “The Dirt on Ford’s New 3D Dirt Detection Technology: There Isn’t Any”, is pretty clear about the 3D part, in which case the cameras, (which we are told run at 15 fps,) must be pretty high resolution.
Would anyone like to crunch the numbers to determine if this system can really see “microscopic” paint flaws?