Checker is said to be the first and only sensor in the world that uses patterns to detect parts and provides output pulses that are synchronized with part position. During operation, it continually watches for trained patterns to appear. After detecting a part, it evaluates the object multiple times from different perspectives, thus offering the possibility of more reliable timing results than with photoelectric sensors. It also reportedly detects features that photoelectric sensors can't; offers fewer false "accepts;" offers fewer false rejects; and calls for less tweaking.
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In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
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.