Computer vision-based intelligent control method for home appliances

Abstract

The invention discloses a computer vision-based intelligent control method for home appliances. The method comprises the following steps that: when a user enters the door of his or her home, a user video is collected; whether the user in the user video is a family member is judged through a visual recognition algorithm; if the user is a family member, an intelligent control model corresponding tothe user is found in a model library; and the home appliances are controlled according to the intelligent control model. The method can satisfy the requirements of the user and improve the satisfaction of the user.

Description

technical field [0001] The invention relates to the technical field of home control, in particular to a computer vision-based home intelligent control method. Background technique [0002] At present, the intelligent control of smart home is generally through the user setting some timing tasks, or according to the data collected by the equipment, such as temperature and humidity, these data indicators and corresponding conditions to control the smart equipment in the home, or according to the user's operation control Behavioral statistics are used to judge the basis for controlling smart devices. However, there are many problems in these methods. There are basically several family members in a family, and each member has different habits and methods of using equipment. Some family members are more frugal and turn on the lights later; some family members turn on the air conditioner at 30 degrees Celsius, and some family members only turn on the air conditioner at 34 degrees ...

AI Technical Summary

Problems solved by technology

If the traditional conditional method is used to control the air conditioner only according to the temperature indicators, then the control of the air conditioner does not meet the specific needs of users, and user satisfaction is low

[0003] In addition, if the statistics of user operation behavior are used to judge, member A in the family will turn on the air conditioner 5 times at 30 degrees Celsius, and member B will turn on the air conditioner 2 times at 34 degrees Celsius. At this time, B is at home. From a statistical point of view, the automatic control system will The air conditioner is turned on at 30 degrees, which does not meet the habits and needs of member B. It is unintelligent to rely solely on such automatic control, and cannot meet the needs of all members

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