CN113191289A - Refrigerator door handle heating control system and method based on image recognition - Google Patents

Refrigerator door handle heating control system and method based on image recognition Download PDF

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Publication number
CN113191289A
CN113191289A CN202110503965.2A CN202110503965A CN113191289A CN 113191289 A CN113191289 A CN 113191289A CN 202110503965 A CN202110503965 A CN 202110503965A CN 113191289 A CN113191289 A CN 113191289A
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refrigerator
detection terminal
temperature
user
door handle
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焦其意
陆涛
蔡训儒
郭杰
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Hefei Meiling Union Technology Co Ltd
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Hefei Meiling Union Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25DREFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D29/00Arrangement or mounting of control or safety devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00Thermometers specially adapted for specific purposes
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D23/00Control of temperature
    • G05D23/19Control of temperature characterised by the use of electric means
    • G05D23/20Control of temperature characterised by the use of electric means with sensing elements having variation of electric or magnetic properties with change of temperature
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures

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  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Evolutionary Computation (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • Thermal Sciences (AREA)
  • Automation & Control Theory (AREA)
  • Image Analysis (AREA)
  • Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)

Abstract

The invention discloses a refrigerator door handle heating control system and method based on image recognition, and relates to the technical field of refrigerator control. The invention comprises a camera, a heating terminal and a detection terminal; the camera is used for acquiring image information in real time and transmitting the acquired image information to the detection terminal; the detection terminal is used for acquiring a moving human body existing in the image information, acquiring facial image information of the human body, analyzing continuously-changed human face pixel value parameters and judging whether a user passes through a refrigerator or needs to use the refrigerator; and the heating terminal is used for receiving the heating instruction sent by the detection terminal to heat the refrigerator door handle. According to the invention, the human face pixel-distance model is constructed, the camera collects the human face image and transmits the human face image to the human face pixel-distance model of the detection terminal, the intention of the user is judged according to the pixel value, and when the user is judged to use the refrigerator, the detection terminal sends a heating instruction to control the heating terminal to heat the door handle, so that the user experience is improved.

Description

Refrigerator door handle heating control system and method based on image recognition
Technical Field
The invention belongs to the technical field of refrigerator control, and particularly relates to a refrigerator door handle heating control system and method based on image recognition.
Background
The refrigerator is one of the indispensable things in people's daily life, and in the season that the weather is colder, skin and refrigerator metal handle direct contact, then the temperature of door handle also can be lower, and the user probably feels cold discomfort when holding the door handle, can make people produce comparatively strong thrill.
Disclosure of Invention
The invention aims to provide a refrigerator door handle heating control system and method based on image recognition.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a refrigerator door handle heating control system based on image recognition, which comprises a camera and a temperature sensor which are arranged on a refrigerator door body, a door handle arranged on the refrigerator door body, a heating terminal arranged in the door handle and a detection terminal arranged in the refrigerator door body, wherein the camera and the temperature sensor are arranged on the refrigerator door body; the camera and the temperature sensor are both electrically connected with the input end of the detection terminal; the camera is used for acquiring image information in real time and transmitting the acquired image information to the detection terminal; the temperature sensor is used for monitoring the ambient temperature of the refrigerator; the detection terminal is used for acquiring a moving human body existing in the image information, acquiring facial image information of the human body, analyzing continuously-changed human face pixel value parameters, and judging whether a user passes through a refrigerator or needs to use the refrigerator; the output end of the detection terminal is connected with the heating terminal; and the heating terminal is used for receiving the heating instruction sent by the detection terminal to heat the refrigerator door handle.
Preferably, a model setting unit and an intention judging unit are arranged in the detection terminal; the model setting unit is used for manufacturing a face pixel-distance model according to the relation between the facial image pixel points and the distances acquired by the front user; and the intention judging unit is used for calculating whether the user intends to use the refrigerator according to the variation trend of the face pixels in the process that the user approaches the refrigerator.
Preferably, the temperature sensor collects ambient temperature around the refrigerator and uploads the temperature to the detection terminal, and the temperature is compared with the lowest starting temperature preset in a setting unit of the detection terminal; when the environment temperature is higher than the preset starting temperature, the radar sensor is not started; and when the ambient temperature is lower than the preset starting temperature, starting the radar sensor.
The invention relates to a refrigerator door handle heating control method based on image recognition, which comprises the following steps:
step S1: the camera collects image information of a user in front of the refrigerator door body in real time and transmits the image information to the detection terminal;
step S2: the detection terminal sequentially performs distortion calibration, rotation calibration and normalization processing on the current face image to obtain a standard face image;
step S3: detecting key points of a current face image to obtain a current face position, and calculating a current face pixel value;
step S4: matching and comparing the face pixel value with a face pixel-distance model to judge the intention of the user;
if the user intends to judge that the refrigerator is not passed by the user, the processing is not carried out;
if the user intends to determine to use the refrigerator, performing step S5;
step S6: the detection terminal sends a heating instruction to the heating terminal;
step S7: the heating terminal is started to heat the refrigerator door handle.
Preferably, before step S1, the ambient temperature of the refrigerator is monitored, and the specific steps are as follows:
step S01: setting the starting lowest temperature of a heating terminal on a detection terminal in advance;
step S02: the temperature sensor collects ambient temperature information around the refrigerator in real time and transmits the ambient temperature information to the detection terminal;
step S03: the detection terminal analyzes and judges the environmental temperature information;
if the environmental temperature is higher than the preset minimum temperature, the camera is not started;
and if the ambient temperature is lower than the preset minimum temperature, starting the camera.
Preferably, in step S4, the face pixel-distance model needs to be created in advance, and the creation process is as follows:
step M1: mounting a camera at a set height of a refrigerator door body;
step M2: after the user reaches the specified distance of the refrigerator, shooting a face image through a camera;
step M3: detecting and acquiring a face position in a face graph through key points, and calculating a face pixel value;
step M4: repeatedly executing the steps M1-M3 by the crowd with the large base number to obtain a large number of human face pixel values;
step M5: obtaining average pixel values Z of the human face at different distances by averaging a large number of human face pixel values;
step M6: calculating the standard deviation of massive human face pixel values, and determining the threshold value [ Z-delta, Z + delta ] of the human face pixel values;
step M7: setting a group of different human body heights and different distances from a group of users to the refrigerator to form matrix parameters;
step M8: sequentially taking data AxBy in the matrix parameters; and executing the steps M3-M6 to obtain a human face pixel value threshold value [ Zxy-delta xy, Zxy + delta xy ] under the condition that the distance to the refrigerator is Ax and the height of the user is By to form a human face pixel-distance model.
Preferably, in step S4, the process of detecting the terminal to determine the user intention is as follows:
step S41: matching the face pixel value acquired by the camera with a face pixel-distance model;
step S42: the distance d between the output human body and the refrigerator is continuously reduced;
step S43: according to the monotonous decreasing process of d1, d2, d3, d4,. and dn, and dn is not decreasing;
step S44: the camera sends a flag bit to the refrigerator detection terminal;
step S45: the box detection terminal starts a timing function, and after the time T reaches a set threshold value T, the main control board judges that the user intends to use the refrigerator;
step S46: otherwise, it is determined that the user intends to 'pass the refrigerator unintentionally'.
Preferably, in the step S45, when the user intends to use the refrigerator, the distance between the human body and the refrigerator is decreased with time while approaching the refrigerator.
Preferably, in step S46, if one of the two conditions is not satisfied, it can be determined that the user intends to "unintentionally pass through the refrigerator", and the two conditions are: dn is not decreasing by the distance value dn for time t.
Preferably, in the step S7, when the heating terminal heats the refrigerator door handle, a temperature control switch is further disposed in the refrigerator door handle, and when the temperature of the refrigerator door handle reaches a preset temperature; the detection terminal controls the temperature control switch to be switched off, and the refrigerator door handle is stopped being heated.
The invention has the following beneficial effects:
according to the invention, the human face pixel-distance model is constructed, the camera collects the human face image and transmits the human face image to the human face pixel-distance model of the detection terminal, the intention of the user is judged according to the pixel value, and when the user is judged to use the refrigerator, the detection terminal sends a heating instruction to control the heating terminal to heat the door handle, so that the user experience is improved.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of a refrigerator door handle heating control system based on image recognition according to the present invention;
fig. 2 is a step diagram of a refrigerator door handle heating control method based on image recognition according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to a refrigerator door handle heating control system based on image recognition, which comprises a camera and a temperature sensor which are installed on a refrigerator door body, a door handle which is arranged on the refrigerator door body, a heating terminal which is installed inside the door handle and a detection terminal which is installed inside the refrigerator door body;
the camera and the temperature sensor are both electrically connected with the input end of the detection terminal;
the camera is used for acquiring image information in real time and transmitting the acquired image information to the detection terminal;
the temperature sensor is used for monitoring the ambient temperature of the refrigerator;
the detection terminal is used for acquiring a moving human body existing in the image information, acquiring facial image information of the human body, analyzing continuously-changed human face pixel value parameters and judging whether a user passes through a refrigerator or needs to use the refrigerator;
the output end of the detection terminal is connected with the heating terminal;
and the heating terminal is used for receiving the heating instruction sent by the detection terminal to heat the refrigerator door handle.
The detection terminal is internally provided with a model setting unit and an intention judging unit; the model setting unit is used for manufacturing a face pixel-distance model according to the relation between the facial image pixel points and the distances acquired by the front user; and the intention judging unit is used for calculating whether the user intends to use the refrigerator according to the variation trend of the face pixels of the user in the process of approaching the refrigerator.
The temperature sensor collects the ambient temperature around the refrigerator, uploads the temperature to the detection terminal and compares the temperature with the lowest starting temperature preset in a setting unit of the detection terminal; when the environment temperature is higher than the preset starting temperature, the radar sensor is not started; and when the ambient temperature is lower than the preset starting temperature, starting the radar sensor.
The invention relates to a refrigerator door handle heating control method based on image recognition, which comprises the following steps:
step S1: the camera collects image information of a user in front of the refrigerator door body in real time and transmits the image information to the detection terminal;
step S2: the detection terminal sequentially performs distortion calibration, rotation calibration and normalization processing on the current face image to obtain a standard face image;
step S3: detecting key points of a current face image to obtain a current face position, and calculating a current face pixel value;
step S4: matching and comparing the face pixel value with a face pixel-distance model to judge the intention of the user;
if the user intends to judge that the refrigerator is not passed by the user, the processing is not carried out;
if the user intends to determine to use the refrigerator, performing step S5;
step S6: the detection terminal sends a heating instruction to the heating terminal;
step S7: the heating terminal is started to heat the refrigerator door handle, so that the heating terminal heats the door handle according to the heating instruction, and further the condition that a user feels cold and uncomfortable when holding the door handle is avoided.
Before step S1, the ambient temperature at which the refrigerator is located needs to be monitored, and the specific steps are as follows:
step S01: setting the starting lowest temperature of a heating terminal on a detection terminal in advance;
step S02: the temperature sensor collects ambient temperature information around the refrigerator in real time and transmits the ambient temperature information to the detection terminal;
step S03: the detection terminal analyzes and judges the environmental temperature information;
if the environmental temperature is higher than the preset minimum temperature, the camera is not started;
and if the ambient temperature is lower than the preset minimum temperature, starting the camera.
In step S4, the face pixel-distance model needs to be created in advance, and the creation process is as follows:
step M1: mounting a camera at a set height of a refrigerator door body;
step M2: after the user reaches the specified distance of the refrigerator, shooting a face image through a camera;
step M3: detecting and acquiring a face position in a face graph through key points, and calculating a face pixel value;
step M4: repeatedly executing the steps M1-M3 by the crowd with the large base number to obtain a large number of human face pixel values;
step M5: obtaining average pixel values Z of the human face at different distances by averaging a large number of human face pixel values;
step M6: calculating the standard deviation of massive human face pixel values, and determining the threshold value [ Z-delta, Z + delta ] of the human face pixel values;
step M7: setting a group of different human body heights and different distances from a group of users to the refrigerator to form matrix parameters;
step M8: sequentially taking data AxBy in the matrix parameters; and executing the steps M3-M6 to obtain a human face pixel value threshold value [ Zxy-delta xy, Zxy + delta xy ] under the condition that the distance to the refrigerator is Ax and the height of the user is By to form a human face pixel-distance model.
In step S4, the procedure for determining the user intention by the detection terminal is as follows:
step S41: matching the face pixel value acquired by the camera with a face pixel-distance model;
step S42: the distance d between the output human body and the refrigerator is continuously reduced;
step S43: according to the monotonous decreasing process of d1, d2, d3, d4,. and dn, and dn is not decreasing;
step S44: the camera sends a flag bit to the refrigerator detection terminal;
step S45: the box detection terminal starts a timing function, and after the time T reaches a set threshold value T, the main control board judges that the user intends to use the refrigerator; in step S45, when the user intends to use the refrigerator, the distance between the human body and the refrigerator is gradually decreased with time while approaching the refrigerator, because the user will quickly walk to the refrigerator and the closer to the refrigerator, the speed will be continuously decreased until the user stops at the door of the refrigerator.
Step S46: otherwise, it is determined that the user intends to 'pass the refrigerator unintentionally'. In step S46, if one of the two conditions is not satisfied, it can be determined that the user intends to "pass the refrigerator unintentionally", and the two conditions are: dn is not decreasing and the distance value of dn maintains time t; when the user passes the refrigerator unintentionally, the user can not stay in front of the door of the refrigerator, so that the dn is not decreased and the distance value dn is not satisfied, and the user can be determined that the user passes the refrigerator and does not need to use the refrigerator.
In step S7, when the heating terminal heats the refrigerator door handle, a temperature control switch is further disposed in the refrigerator door handle, and when the temperature of the refrigerator door handle reaches a preset temperature; the detection terminal controls the temperature control switch to be switched off, and the refrigerator door handle is stopped being heated.
It should be noted that, in the above system embodiment, each included unit is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
In addition, it is understood by those skilled in the art that all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing associated hardware, and the corresponding program may be stored in a computer-readable storage medium.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (10)

1. A refrigerator door handle heating control system based on image recognition is characterized by comprising
A camera and a temperature sensor which are arranged on the refrigerator door body,
a door handle arranged on the refrigerator door body,
the refrigerator door comprises a heating terminal arranged inside a door handle and a detection terminal arranged inside a refrigerator door body; the detection terminal is used for acquiring a moving human body existing in the image information, acquiring facial image information of the human body, analyzing continuously-changed human face pixel value parameters, and judging whether a user passes through a refrigerator or needs to use the refrigerator;
the camera and the temperature sensor are both electrically connected with the input end of the detection terminal; the camera is used for acquiring image information in real time and transmitting the acquired image information to the detection terminal; the temperature sensor is used for monitoring the ambient temperature of the refrigerator;
the output end of the detection terminal is connected with the heating terminal; and the heating terminal is used for receiving the heating instruction sent by the detection terminal to heat the refrigerator door handle.
2. The image recognition-based refrigerator door handle heating control system as claimed in claim 1, wherein the detection terminal is internally provided with a sensor
The model setting unit is used for manufacturing a face pixel-distance model according to the relation between the facial image pixel points and the distances acquired by the front user;
and the intention judging unit is used for calculating whether the user intends to use the refrigerator according to the variation trend of the face pixels of the user in the process of approaching the refrigerator.
3. The system and the method for controlling heating of the door handle of the refrigerator based on the image recognition as claimed in claim 1, wherein the temperature sensor collects the ambient temperature around the refrigerator and uploads the temperature to the detection terminal, and compares the temperature with the lowest starting temperature preset in the setting unit of the detection terminal;
when the environment temperature is higher than the preset starting temperature, the radar sensor is not started;
and when the ambient temperature is lower than the preset starting temperature, starting the radar sensor.
4. A refrigerator door handle heating control method based on image recognition is characterized by comprising the following steps:
step S1: the camera collects image information of a user in front of the refrigerator door body in real time and transmits the image information to the detection terminal;
step S2: the detection terminal sequentially performs distortion calibration, rotation calibration and normalization processing on the current face image to obtain a standard face image;
step S3: detecting key points of a current face image to obtain a current face position, and calculating a current face pixel value;
step S4: matching and comparing the face pixel value with a face pixel-distance model to judge the intention of the user;
if the user intends to judge that the refrigerator is not passed by the user, the processing is not carried out;
if the user intends to determine to use the refrigerator, performing step S5;
step S6: the detection terminal sends a heating instruction to the heating terminal;
step S7: the heating terminal is started to heat the refrigerator door handle.
5. The method as claimed in claim 4, wherein before step S1, the ambient temperature of the refrigerator is monitored, and the method comprises the following steps:
step S01: setting the starting lowest temperature of a heating terminal on a detection terminal in advance;
step S02: the temperature sensor collects ambient temperature information around the refrigerator in real time and transmits the ambient temperature information to the detection terminal;
step S03: the detection terminal analyzes and judges the environmental temperature information;
if the environmental temperature is higher than the preset minimum temperature, the camera is not started;
and if the ambient temperature is lower than the preset minimum temperature, starting the camera.
6. The method as claimed in claim 4, wherein in step S4, the face pixel-distance model is prepared in advance by the following steps:
step M1: mounting a camera at a set height of a refrigerator door body;
step M2: after the user reaches the specified distance of the refrigerator, shooting a face image through a camera;
step M3: detecting and acquiring a face position in a face graph through key points, and calculating a face pixel value;
step M4: repeatedly executing the steps M1-M3 by the crowd with the large base number to obtain a large number of human face pixel values;
step M5: obtaining average pixel values Z of the human face at different distances by averaging a large number of human face pixel values;
step M6: calculating the standard deviation of massive human face pixel values, and determining the threshold value [ Z-delta, Z + delta ] of the human face pixel values;
step M7: setting a group of different human body heights and different distances from a group of users to the refrigerator to form matrix parameters;
step M8: sequentially taking data AxBy in the matrix parameters; and executing the steps M3-M6 to obtain a human face pixel value threshold value [ Zxy-delta xy, Zxy + delta xy ] under the condition that the distance to the refrigerator is Ax and the height of the user is By to form a human face pixel-distance model.
7. The method as claimed in claim 4, wherein in step S4, the procedure for the detection terminal to determine the user' S intention is as follows:
step S41: matching the face pixel value acquired by the camera with a face pixel-distance model;
step S42: the distance d between the output human body and the refrigerator is continuously reduced;
step S43: according to the monotonous decreasing process of d1, d2, d3, d4,. and dn, and dn is not decreasing;
step S44: the camera sends a flag bit to the refrigerator detection terminal;
step S45: the box detection terminal starts a timing function, and after the time T reaches a set threshold value T, the main control board judges that the user intends to use the refrigerator;
step S46: otherwise, it is determined that the user intends to 'pass the refrigerator unintentionally'.
8. The method as claimed in claim 7, wherein in step S45, when the user' S intention is "use refrigerator", the distance between the human body and the refrigerator is decreased with time while approaching the refrigerator.
9. The method as claimed in claim 7, wherein in step S46, if one of two conditions is not satisfied, the user' S intention is determined as "passing the refrigerator unintentionally", and the two conditions are: dn is not decreasing by the distance value dn for time t.
10. The method as claimed in claim 4, wherein in step S7, when the heating terminal heats the refrigerator door handle, a temperature control switch is further disposed in the refrigerator door handle, and when the temperature of the refrigerator door handle reaches a preset temperature; the detection terminal controls the temperature control switch to be switched off, and the refrigerator door handle is stopped being heated.
CN202110503965.2A 2021-05-10 2021-05-10 Refrigerator door handle heating control system and method based on image recognition Pending CN113191289A (en)

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Application Number Priority Date Filing Date Title
CN202110503965.2A CN113191289A (en) 2021-05-10 2021-05-10 Refrigerator door handle heating control system and method based on image recognition

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Application Number Priority Date Filing Date Title
CN202110503965.2A CN113191289A (en) 2021-05-10 2021-05-10 Refrigerator door handle heating control system and method based on image recognition

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203347337U (en) * 2013-06-29 2013-12-18 泰州乐金电子冷机有限公司 Door handle and refrigerator comprising same
CN105115240A (en) * 2015-08-28 2015-12-02 四川长虹电器股份有限公司 Method and device for intelligently starting refrigerator display screen
CN109219162A (en) * 2018-09-29 2019-01-15 北京小米移动软件有限公司 Door handle heating means and device
CN111860355A (en) * 2020-07-23 2020-10-30 合肥中科奔巴科技有限公司 Image pixel distance measurement method for sitting posture correction

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203347337U (en) * 2013-06-29 2013-12-18 泰州乐金电子冷机有限公司 Door handle and refrigerator comprising same
CN105115240A (en) * 2015-08-28 2015-12-02 四川长虹电器股份有限公司 Method and device for intelligently starting refrigerator display screen
CN109219162A (en) * 2018-09-29 2019-01-15 北京小米移动软件有限公司 Door handle heating means and device
CN111860355A (en) * 2020-07-23 2020-10-30 合肥中科奔巴科技有限公司 Image pixel distance measurement method for sitting posture correction

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