Abstract: Examples relate to a food processing system, which includes a sensor unit for determining holding data of at least one pan or holding container placed in a food holding area. The system can further includes a processing unit for determining a scheduling state based on current holding data and/or a holding data history; and a control unit to control an actuator based on the determined scheduling state.

Abstract: A heat treatment monitoring system comprises a sensor unit having at least one sensor to determine current sensor data of food being heated; a processing unit to determine current feature data from the current sensor data; and a monitoring unit adapted to determine a current heating process state in a current heating process of the monitored food by comparing the current feature data with reference feature data of a reference heating process.

Abstract: A heat treatment monitoring system comprises a sensor unit having at least one sensor to determine current sensor data of food being heated; a processing unit to determine current feature data from the current sensor data; and a monitoring unit adapted to determine a current heating process state in a current heating process of the monitored food by comparing the current feature data with reference feature data of a reference heating process.

Abstract: A monitoring system for an apparatus for making beverages is provided, comprising a sensor unit having at least one sensor to determine current sensor data of a beverage production environment, a processing unit to determine current feature data from the current sensor data and a monitoring unit adapted to determine a current beverage production state by comparing the current feature data with reference feature data of a reference beverage production process. A control unit is adapted for controlling actuators in dependence of a current beverage production state determined by the monitoring unit.

Abstract: A monitoring system for a food processing system. A sensor unit gathers sensor data related to the food processing system. A recording unit records sensor data to generate data history of the amount of food produced over time; and a control unit analyzes the data history and informs whether too many or too little food is produced for a time period. The monitoring system further includes a learning unit integrated into the local monitoring apparatus to determine a mapping of current sensor data to current feature data based on at least one food processing training. The training comprises current sensor data of the local monitoring apparatus or current sensor data of sensor units of further monitoring apparatuses at different places.

Abstract: A monitoring system (10) for a food preparation system (100, 200, 300) comprises a sensor unit 114; 214, 216, 222; 308, 312, 308a, 308b) having at least one sensor to determine current sensor data of food being loaded or unloaded to or from a food processing chamber (102; 236; 302) of the food preparation system (100, 200, 300); a processing unit (1820) to determine current feature data from current sensor data; a classification unit (1840) to determine characteristic data of food (228, 232) being present within the food processing chamber (102; 236; 302) from the current feature data; and a control unit (1860) to control at least on actuator adapted to inform or alert an user or to set processing parameters of the food preparation system (100, 200, 300) based on the determined characteristic data of food being present within the food processing chamber (102; 236; 302).

Abstract: A heat treatment system, comprises a tray holder with at least one tray for placing goods to be heated, a first heat treatment machine having a first heat treatment chamber adapted to accommodate the tray holder, the first heat treatment chamber having a first opening in a base part thereof, and an elevation apparatus configured to transport the tray holder between a first position within the first heat treatment chamber and a second position below the first heat treatment chamber through the first opening.

Abstract: A heat treatment system, comprises a tray holder with at least one tray for placing goods to be heated, a first heat treatment machine having a first heat treatment chamber adapted to accommodate the tray holder, the first heat treatment chamber having a first opening in a base part thereof, and an elevation apparatus configured to transport the tray holder between a first position within the first heat treatment chamber and a second position below the first heat treatment chamber through the first opening.

Abstract: A heat treatment monitoring system comprises a heat treatment machine comprising a heat treatment chamber and at least one lighting source mounting for mounting a light source for illuminating the inside of the heat treatment chamber; and a monitoring apparatus comprising a camera, a camera light source and a mounting part, wherein the mounting part is adapted to be removably fixed to the lighting source mounting.

Abstract: The present invention relates to a laser material processing system for processing a workpiece by means of a laser beam, comprising an optical system having at least one optical component for focusing the laser beam to form a focal point on the workpiece or in a defined position relative to the workpiece, at least one inertial sensor for detecting a transitional and/or rotational acceleration of the at least one optical component of the optical system and/or the workpiece, and a processing unit connected to the at least one inertial sensor for determining a relative transitional and/or rotational acceleration between the focal point and the workpiece.

Abstract: A method for monitoring a laser machining operation to be performed on a workpiece by detecting at least two current measured valued by at least one sensor which monitors the laser machining operation and determining at least two current characteristic values from the at least two current measured value, wherein the at least two current characteristic values jointly represent a current fingerprint in a characteristic value space and providing a predetermined point set in a characteristic value space, and classifying the laser machining operation by\detecting the position of the current fingerprint relative to the predetermined point set in the characteristic value space.

Abstract: The present invention relates to a method for controlling a processing operation of a workpiece by means of a Reinforcement Learning (RL) agent unit, comprising the steps of: (a) observing an interaction zone in the workpiece by means of at least one radiation sensor to generate at least one sensor signal st, wherein the workpiece is processed using an actuator having an initial actuator value at; (b) determining a basis function ?(st) from the set of sensor signals st; (c) determining a reward function rt giving the probability of good results of the processing operation; (d) choosing a next actuator value at+1 on the basis of a policy ? depending on the reward function rt and the basis function ?(st); and (e) repeating the steps (a) to (d) for further time points to perform a RL controlled processing operation.

Abstract: The present invention relates to a method for closed-loop controlling a processing operation of a workpiece, comprising the steps of: (a) recording a pixel image at an initial time point of an interaction zone by means of a camera, wherein the workpiece is processed using an actuator having an initial actuator value; (b) converting the pixel image into a pixel vector; (c) representing the pixel vector by a sum of predetermined pixel mappings each multiplied by a corresponding feature value; (d) classifying the set of feature values on the basis of learned feature values into at least two classes of a group of classes comprising a first class of a too high actuator value, a second class of a sufficient actuator value and a third class of a too low actuator value at the initial time point; (e) performing a control step for adapting the actuator value by minimizing the error et between a quality indicator ye and a desired value; and (f) repeating the steps (a) to (e) for further time points to perform a closed-l

Abstract: A heat treatment monitoring system comprises a heat treatment machine comprising a heat treatment chamber, a double glass window comprising an inside window and an outside window, and an illumination apparatus for illuminating the inside of the heat treatment chamber, and a monitoring apparatus mounted to the heat treatment machine and comprising a camera to observe the inside of the heat treatment chamber through the inside window, wherein the visible transmittance of the outside window is lower than the visible transmittance of the inside window to reduce reflections within the double glass window structure and outside illumination effects on image processing of images recorded by the camera.

Abstract: The present invention relates to a method for classifying a multitude of images recorded by a camera observing a processing area of a workpiece processed by a processing beam, comprising the steps of: recording a first pixel image and a multitude of subsequent pixel images by the camera during a processing operation; detecting mismatches of a position and orientation of a keyhole generated by the processing beam in the workpiece within an image plane of the subsequent pixel images in comparison to the first pixel image; compensating the mismatches of the position and orientation of the respective keyholes in the subsequent pixel images with regard to the first pixel image, to produce a set of pixel images having each a normalized keyhole position and orientation; classifying the set of normalized pixel images into at least two classes by means of a classifier.

Abstract: The invention relates to a method for monitoring a laser machining operation to be performed on a workpiece, comprising the following steps: detecting at least two current measured values by at least one sensor, which monitors the laser machining operation, determining at least two current characteristic values from the at least two current measured values, wherein the at least two current characteristic values jointly represent a current fingerprint in a characteristic value space, providing a predetermined point set in the characteristic value space, and classifying the laser machining operation by detecting the position of the current fingerprint relative to the predetermined point set in the characteristic value space, wherein the at least one sensor comprises at least one camera unit, which records camera images with different exposure times and processes them together by using a high dynamic range (HDR) method, in order to provide images having a high contrast ratio as the current measured values.

Abstract: The present invention relates to a laser material processing system for processing a workpiece by means of a laser beam, comprising an optical system having at least one optical component for focusing the laser beam to form a focal point on the workpiece or in a defined position relative to the workpiece, at least one inertial sensor for detecting a transitional and/or rotational acceleration of the at least one optical component of the optical system and/or the workpiece, and a processing unit connected to the at least one inertial sensor for determining a relative transitional and/or rotational acceleration between the focal point and the workpiece.

Abstract: The present invention relates to a method for classifying a multitude of images recorded by a camera observing a processing area of a workpiece processed by a processing beam, comprising the steps of: recording a first pixel image and a multitude of subsequent pixel images by the camera during a processing operation; detecting mismatches of a position and orientation of a keyhole generated by the processing beam in the workpiece within an image plane of the subsequent pixel images in comparison to the first pixel image; compensating the mismatches of the position and orientation of the respective keyholes in the subsequent pixel images with regard to the first pixel image, to produce a set of pixel images having each a normalized keyhole position and orientation; classifying the set of normalized pixel images into at least two classes by means of a classifier.

Abstract: The present invention relates to a method for closed-loop controlling a processing operation of a workpiece, comprising the steps of: (a) recording a pixel image at an initial time point of an interaction zone by means of a camera, wherein the workpiece is processed using an actuator having an initial actuator value; (b) converting the pixel image into a pixel vector; (c) representing the pixel vector by a sum of predetermined pixel mappings each multiplied by a corresponding feature value; (d) classifying the set of feature values on the basis of learned feature values into at least two classes of a group of classes comprising a first class of a too high actuator value, a second class of a sufficient actuator value and a third class of a too low actuator value at the initial time point; (e) performing a control step for adapting the actuator value by minimizing the error et between a quality indicator ye and a desired value; and (f) repeating the steps (a) to (e) for further time points to perform a closed-l

Abstract: The present invention relates to a method for controlling a processing operation of a workpiece by means of a Reinforcement Learning (RL) agent unit, comprising the steps of: (a) observing an interaction zone in the workpiece by means of at least one radiation sensor to generate at least one sensor signal st, wherein the workpiece is processed using an actuator having an initial actuator value at; (b) determining a basis function ?(st) from the set of sensor signals st; (c) determining a reward function rt giving the probability of good results of the processing operation; (d) choosing a next actuator value at+1 on the basis of a policy ? depending on the reward function rt and the basis function ?(st); and (e) repeating the steps (a) to (d) for further time points to perform a RL controlled processing operation.