AI-based laundry treatment apparatus and operation method thereof
AssigneeLG Electronics Inc.
InventorsJaehong Kim, Heeyeon Choi
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Abstract
Disclosed is an artificial intelligence (AI)-based laundry treatment apparatus comprising: a washing module; a camera to acquire an image of laundry; a memory for storing therein a laundry recognition model, wherein the model is trained using a machine learning or deep learning algorithm, wherein the model is configured to recognize laundry information about the laundry; and a processor configured to apply image data from the acquired image to the laundry recognition model to acquire the laundry information.
Claims13
An artificial intelligence (AI)-based laundry treatment apparatus comprising:
- a camera;
- a washing module;
- a memory for storing therein a laundry recognition model, wherein the laundry recognition model is trained using a machine learning or deep learning algorithm, wherein the laundry recognition model is configured to recognize laundry information about laundry;
- and
- a processor configured to:
- apply image data from an image, captured by the camera, of each of a plurality of laundry to the laundry recognition model to acquire the laundry information including a mixed ratio of each material of the laundry, a handling instruction of the laundry, and an appropriate washing temperature of the laundry;
- extract a plurality of material information values from the acquired laundry information to obtain a vector for each of the plurality of laundry;
- generate values for a data set corresponding to a plurality of laundry handling images of the acquired laundry information for each of the plurality of laundry, wherein each of the plurality of laundry handling images indicates handling precaution;
- generate encoding data for each of the plurality of laundry based on the obtained vector and the data set;
- acquire values of laundry control variables corresponding to the encoding data for each of the plurality of laundry using a trained laundry course learning model, wherein the values of laundry control variable are used to generate a laundry course for the washing module;
- and
- control the washing module to perform cleaning with the generated laundry course corresponding to the acquired values of the laundry control variables,
- wherein the processor is further configured to:
- compare the plurality of laundry handling images with per-material laundry handling information that indicates a handling method of each material;
- and
- generate the values for the data set based on a result of the comparison.
A method for operating an artificial intelligence (AI)-based laundry treatment apparatus, the method comprising:
- acquiring an image of each of a plurality of laundry;
- extracting textile data about a textile of the laundry from image data about the image;
- applying the extracted textile data to a laundry recognition model to acquire laundry information, wherein the laundry recognition the model is trained using a machine learning or deep learning algorithm, wherein the model is configured to recognize the laundry information including a mixed ratio of each material of each of the laundry, a handling instruction of the laundry, and an appropriate washing temperature of the laundry;
- extracting a plurality of material information values from the acquired laundry information to obtain a vector for each of the plurality of laundry;
- generating values for a data set corresponding to a plurality of laundry handling images of the acquired laundry information for each of the plurality of laundry, wherein each of the plurality of laundry handling images indicates handling precaution;
- generating encoding data for each of the plurality of laundry based on the obtained vector and the data set;
- acquiring values of laundry control variables corresponding to the encoding data for each of the plurality of laundry using a trained laundry course learning model, wherein the values of laundry control variable are used to generate a laundry course for a washing module;
- and
- controlling the washing module to perform cleaning with the generated laundry course corresponding to the acquired values of the laundry control variables,
- wherein generating the values for the data set comprises:
- comparing the plurality of laundry handling images with per-material laundry handling information that indicates a handling method of each material;
- and
- generating the values for the data set based on a result of the comparison.
A non-transitory storage medium having a program stored therein, wherein the program is configured to performing a method for operating an artificial intelligence (AI)-based laundry treatment apparatus, the method comprising:
- acquiring an image of each of a plurality of laundry;
- extracting textile data about a textile of the laundry from image data about the image;
- applying the extracted textile data to a laundry recognition model to acquire laundry information, wherein the laundry recognition the model is trained using a machine learning or deep learning algorithm, wherein the model is configured to recognize the laundry information including a mixed ratio of each material of each of the laundry, a handling instruction of the laundry, and an appropriate washing temperature of the laundry;
- extracting a plurality of material information values from the acquired laundry information to obtain a vector for each of the plurality of laundry;
- generating values for a data set corresponding to a plurality of laundry handling images of the acquired laundry information for each of the plurality of laundry, wherein each of the plurality of laundry handling images indicates handling precaution;
- generating encoding data for each of the plurality of laundry based on the obtained vector and the data set;
- acquiring values of laundry control variables corresponding to the encoding data for each of the plurality of laundry using a trained laundry course learning model, wherein the values of laundry control variable are used to generate a laundry course for a washing module;
- and
- controlling the washing module to perform cleaning with the generated laundry course corresponding to the acquired values of the laundry control variables,
- wherein generating the values for the data set comprises:
- comparing the plurality of laundry handling images with per-material laundry handling information that indicates a handling method of each material;
- and
- generating the values for the data set based on a result of the comparison.
Dependencies are inferred from the claim text.