Abstract: A process for applying a method for increasing a resolution of an image of a thermal imaging camera includes (i) providing image data, wherein the image data comprises a defined number of images, wherein the images are regular camera images and/or thermal images, and wherein the image data is captured by the thermal imaging camera, (ii) analyzing a contrast in the image data, and (iii) initiating the application of the method for increasing the resolution as a function of a result of the analysis of the contrast in the image data. A computer program, a device, and a storage medium for this purpose is also disclosed.

Abstract: A method for providing a thermal image of a thermal imaging camera with an increased resolution, includes (i) initiating a vibration by a vibratory motor of the thermal imaging camera to provide movement during capturing of image data by the thermal imaging camera, (ii) initiating the capturing of image data by the thermal imaging camera during the vibration, wherein the image data comprises at least two thermal images, and (iii) determining the thermal image based on a method for increasing a resolution of the thermal image. A computer program, a device, and a storage medium for this purpose is also disclosed.

Abstract: A sensor and a method for generating training data for a machine learning classifier in a sensor. The method includes: detecting a first sensor signal and a second sensor signal with the aid of the sensor; ascertaining whether the machine learning classifier classifies the first sensor signal as a predefined user motion pattern; ascertaining whether a classification model classifies the second sensor signal as a predefined user input for controlling a device, the user input being assigned to the user motion pattern; ascertaining a training data vector for the machine learning classifier if the second sensor signal has been classified as the predefined user input, and if the first sensor signal has not been classified as the user motion pattern, ascertaining a training data vector for the machine learning classifier, the training data vector including the first sensor signal as well as the user motion pattern.

Abstract: A method is for generating a training dataset for training an artificial intelligence system in order to ascertain an operating state and/or to predict an event timepoint of a hand-held power tool. The method includes providing a plurality of measured values of an operating variable of a hand-held power tool, and identifying an event timepoint within the plurality of measured values. The method also includes arranging a plurality of labeled measured values in a time series based on timestamps of the measured values, and providing a training dataset including the time series of labeled measured values of the operating variable.

Abstract: A sensor device for an electric machine includes a rotor shaft mounted rotatably in a housing, with a signal generator that is or can be joined non-rotatably to the rotor shaft and is or can be arranged axially on the end face of the rotor shaft. A signal sensor is fixed to the housing opposite on the end face of the signal generator and at a distance from the signal generator. The signal sensor acquires an axial distance from the signal generator.

Abstract: A sensor and a method for generating training data for a machine learning classifier in a sensor. The method includes: detecting a first sensor signal and a second sensor signal with the aid of the sensor; ascertaining whether the machine learning classifier classifies the first sensor signal as a predefined user motion pattern; ascertaining whether a classification model classifies the second sensor signal as a predefined user input for controlling a device, the user input being assigned to the user motion pattern; ascertaining a training data vector for the machine learning classifier if the second sensor signal has been classified as the predefined user input, and if the first sensor signal has not been classified as the user motion pattern, ascertaining a training data vector for the machine learning classifier, the training data vector including the first sensor signal as well as the user motion pattern.

Abstract: A sensor device for an electric machine includes a rotor shaft mounted rotatably in a housing, with a signal generator that is or can be joined non-rotatably to the rotor shaft and is or can be arranged axially on the end face of the rotor shaft. A signal sensor is fixed to the housing opposite on the end face of the signal generator and at a distance from the signal generator. The signal sensor acquires an axial distance from the signal generator.