Sensor for detecting an object and method of evaluating a sensor signal
AssigneeSick AG
InventorsAndreas Peter, Sascha Thoss, Olaf Machul
Life of this patent
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Abstract
A sensor for detecting an object is provided that has a detection unit for detecting a sensor signal and a control and evaluation unit that is configured to determine an object property by evaluating the sensor signal, to determine a correction value for interference of the sensor environment from the sensor signal using a method of machine learning, and to take the correction value into account in the determination of the object property.
Claims26
A sensor for detecting an object, comprising:
- a detection unit for detecting a sensor signal and a control and evaluation unit that is configured to determine an object property by evaluating the sensor signal;
- and
- a correction value unit,
- wherein the control and evaluation unit is further configured to determine a correction value for interference of the sensor environment from the sensor signal by further evaluation using a method of machine learning and to take the correction value into account in the determination of the object property.
A method of evaluating a sensor signal of a sensor of an inductive proximity sensor, wherein the sensor signal is detected and evaluated to determine an object property,
- wherein a correction value for interference of the sensor environment is determined from the sensor signal in a further evaluation using a method of machine learning and the correction value is taken into account in the determination of the object property.
A sensor for detecting an object, comprising:
- a detection unit for detecting a sensor signal and a control and evaluation unit that is configured to determine an object property by evaluating the sensor signal;
- and
- a correction value unit,
- wherein the control and evaluation unit is further configured to determine a correction value for interference of the sensor environment from the sensor signal by classical signal evaluation, and correcting the classical signal evaluation, and providing further evaluation using a method of machine learning and to take the correction value into account in the determination of the object property.
Dependencies are inferred from the claim text.