18222768. ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

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ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Haedong Yeo of Suwon-si (KR)

ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18222768 titled 'ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE

Simplified Explanation

The abstract describes an electronic device that uses neural network models to assist in cooking. The device obtains recipe information and identifies the cooking steps to be performed. It then loads neural network models corresponding to these steps and uses them to analyze sensing data from the cooking situation. Based on the recipe information and context information, the device controls its operation. It can also load different neural network models based on certain events.

  • An electronic device that assists in cooking by analyzing recipe information and context information.
  • The device uses neural network models to process sensing data from the cooking situation.
  • It can identify and perform cooking steps based on the loaded neural network models.
  • The device can switch to different neural network models based on specific events.

Potential Applications

  • Smart kitchen appliances that provide real-time cooking assistance.
  • Cooking apps or devices that adapt to different cooking styles and preferences.
  • Assistive technology for individuals with limited cooking skills or disabilities.

Problems Solved

  • Lack of cooking expertise or knowledge.
  • Difficulty in following complex recipes.
  • Inconsistent cooking results.

Benefits

  • Improved cooking accuracy and efficiency.
  • Personalized cooking guidance based on individual preferences.
  • Enhanced accessibility for individuals with disabilities.
  • Potential for reducing food waste through optimized cooking techniques.


Original Abstract Submitted

An electronic device includes: at least one processor that may obtain recipe information corresponding to a selected cooking menu. The at least one processor may identify a first cooking step and at least one cooking step to be performed after the first cooking step. The at least one processor may load at least one first neural network model corresponding to the first cooking step and the at least one cooking step to be performed after the first cooking step. The at least one processor may obtain context information on a cooking situation included in sensing data by inputting the sensing data to the at least one first neural network model, and control an operation of the electronic device based on the recipe information and the context information. The at least one processor may load at least one second neural network based on detecting a neural network model change event.

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