To meet cycle times typical for supply-side automotive manufacturing, this 3D inspection station integrates a microcontroller, multiple cameras, and image management software. As a result, it checks every surface of a molded-rubber, shock-absorber oil seal in less than 4 sec.
Three Omron F150-3 cameras constitute the inspection system's first station. A conveyor delivers the seals on rotating platens. Each camera photographs the seal 12 times as it rotates in 30° steps. Then, a pneumatic transfer mechanism inverts the seal onto another 12-step rotating platen. A fourth F150-3 inspects the underside.
Pattern matching and surface defect analysis algorithms, part of OMRON's "Vision Composer" image management software, give the seals a go/no go pass as they are carried away by a second conveyor.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.