NewsSensors and Control

EVT Launches Machine Learning-Based EVT Scratch Inspector

With the Machine Learning-based EVT Scratch Inspector, operators can automate the discovery of defects on surfaces. Based on a Deep Learning technique, the Scratch Inspector catches any irregularity on the surface, similar to the human eye.

As standard, the Scratch Inspector is offered in three different illumination versions. Relying on the requirements, the illuminations can be tailored to the completely different sizes of the component elements.

The smart system has everything to combine it instantly into the plant. It has 8 in- and 8 outputs in 24 V expertise to instantly manage a plant or to interact with the PLC and the system can also be geared up with a Profinet option. Therefore, it’s enough to connect the EVT Scratch Inspector to the PLC.

The system has suitable LED outputs to attach the illumination directly to the Scratch Inspector. The 24V power supply ensures that the Inspector could be operated on the processor power supply.

Due to the delicate GUI, it is attainable to define check procedures. The on Machine Learning based algorithm takes the entire configuration of the person.

The errors are either reported straight through I/O sign, or an ejector is activated. Moreover, data can be transferred by way of Profinet interface to the system management. Therefore, the excellent sensor is = built-in into an Industry 4.0 atmosphere. An information base connection and a detailed statistic permit the person to show the identified errors directly.

The system can be operated as a stand-alone system in addition to the headless sensor, which may be remotely programmed as OIP (Optical Inspection Processor) and built-in into the plant.

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Jeanne Lussier

Jeanne is a contributing author and editor for the sensors and controls column. Being an electrical engineer her knowledge in this area is vast, and that benefits her a lot. And her writing is without any doubt very interesting and full of information. She writes about the progression of the sensor and controls sectors which is evolving to a mass industry currently.

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