Abstract
In maintenance is vital to know the physical state of a equipment or process in real time effectively, fast and reliable way, since it would avoid short, medium or long term failures, caused by the bad operation or wear of parts that make up the process or equipment. One of the tools in which he allows this is known as; "Predictive maintenance", where the use of new processing and analysis technologies is indispensable. The implementation of a monitoring system by artificial vision in maintenance will eliminate the need to diagnose in person parts of a team or process. For this reason, an embedded system of artificial vision and ultrasonic measurements was designed and implemented, using the LabVIEW platform and RoboRIO hardware, capable to; analyze, monitor, classify, record and process the visible electromagnetic spectrum of a number N of objects with dimensions (X, Y, Z) in a production process. Which achieves an effectiveness of 87% against an ideal system, in which there is no error. Being this is the first of 3 phases of a more complex artificial vision monitoring system for the diagnosis of maintenance equipment and processes.
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