Image-based object sensing is utilized in a dishwasher to configure a wash cycle and/or perform other operations in the dishwasher.

A dishwasher and method utilize a cam-based position sensor that is configured to sense multiple rotational positions for a discretely directable tubular spray element driven by a tubular spray element drive.

An artificial intelligence dishwasher including a dish rack on which dishes are arranged, a spray nozzle configured to spray washing water toward the dishes, a washing pump configured to feed washing water stored in a sump to the spray nozzle, a washing motor configured to drive the washing pump, a camera configured to capture the dish rack to obtain a dish arrangement image, and a processor configured to provide the dish arrangement image to a dish recognition model to obtain dish information included in the dish arrangement image, determine a washing cycle for the dishes based on the dish information, and control driving of the washing motor according to the determined washing cycle is provided. A dishwashing method is also provided.

An image-based fluid condition sensor is configured to sense turbidity or another condition of fluid in the sump of a dishwasher using an image device positioned outside of the sump.

In a method for controlling a dishwasher, a user preference is captured for a cleaning cycle of the dishwasher. Parameters associated with a cleaning cycle of the dishwasher are read over a plurality of cleaning cycles, and a user input that indicates satisfaction by the user with one of the cleaning cycles is captured. An optimization is determined of a parameter of the parameters on the basis of the user input and the user preference.

A method for the dosing of cleaning agents in cleaning machines includes the steps: receiving the control information items; wherein the control information items are dependent on an information item about a cleaning machine; determining the progress of a cleaning operation; dosing of cleaning agent depending on the received control information items and the determined progress of the cleaning operation; wherein the information item about the cleaning machine can be manually input via a user interface.

Example intelligent dishwashing systems and methods are described. In one implementation, a system includes an imaging system configured to capture at least one image of an article of dishware. A processing system analyzes the at least one image to determine a presence and a location of a stain on the article of dishware. Responsive to determining the presence of a stain, a cleaning system is configured to clean the location of the stain on the article of dishware.

Systems and methods for monitoring dish ware position and modifying the wash and dry cycle of a dishwasher by capturing and analyzing image data utilizing a plurality of cloud-connected cameras.

A washing apparatus (e.g. a laundry washing machine, dishwasher, etc.) and method configure a wash cycle in part based on spectral data obtained from a spectrometer positioned with the washing apparatus and analyzed in a remote cloud service.

Among other things, a method is disclosed which includes the following: acquiring at least one set of acceleration data indicative of a progression of measured acceleration values; determining status data indicative of a process step within a cleaning program performed by a dishwasher; outputting or causing the output of the determined status data. Further revealed is a device for executing and/or controlling this method, a system with one or more devices for executing and/or controlling this method and a computer program for executing and/or controlling this method by employing a processor.