CN105184719A - Foodstuff monitoring method and device - Google Patents

Foodstuff monitoring method and device Download PDF

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Publication number
CN105184719A
CN105184719A CN201510544004.0A CN201510544004A CN105184719A CN 105184719 A CN105184719 A CN 105184719A CN 201510544004 A CN201510544004 A CN 201510544004A CN 105184719 A CN105184719 A CN 105184719A
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China
Prior art keywords
food
information
user
image
refrigerator inside
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CN201510544004.0A
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Chinese (zh)
Inventor
王百超
龙飞
陈志军
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Beijing Xiaomi Technology Co Ltd
Xiaomi Inc
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Xiaomi Inc
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Priority to CN201510544004.0A priority Critical patent/CN105184719A/en
Publication of CN105184719A publication Critical patent/CN105184719A/en
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Abstract

The invention discloses a foodstuff monitoring method and a device. The foodstuff monitoring method comprises steps of receiving food images from the inside of a refrigerator, analyzing a food image to obtain the information of each kind of food, and performing prompting according to the food information. The technical scheme of the invention enables the user clearly know the food condition inside the refrigerator without the need of the user to check the food inside the refrigerator in person, provides convenient and fastness to the monitoring of the food, improves the food safety and health, and provides better user experience.

Description

Food method for supervising and device
Technical field
The disclosure relates to technical field of image processing, particularly relates to food method for supervising and device.
Background technology
At present, along with improving constantly of living standards of the people, rhythm of life is constantly accelerated, and refrigerator in the family role is also increasing.The food variety stored in refrigerator and quantity are all a lot, and user cannot understand the detailed condition of food in refrigerator, such as shelf-life, food consumption speed, volume residual etc.Because people are to the raising of the attention rate of health diet and food security, need to have the food situation in refrigerator clearly to understand exactly.
Summary of the invention
Disclosure embodiment provides food method for supervising and device.Described technical scheme is as follows:
According to the first aspect of disclosure embodiment, a kind of food method for supervising is provided, comprises:
Obtain the food image of refrigerator inside;
Analyze described food image, obtain the food information of every based food;
Remind according to described food information.
Optionally, the food image of described acquisition refrigerator inside, comprising:
The food image of described refrigerator inside is obtained by the camera being arranged at described refrigerator inside.
Optionally, the described camera by being arranged at described refrigerator inside obtains the food image of described refrigerator inside, comprising:
Monitor the light luminance of described refrigerator inside;
When described light luminance exceedes predetermined luminance value, record current time, and take the food image of described refrigerator inside.
Optionally, the described camera by being arranged at described refrigerator inside obtains the food image of described refrigerator inside, comprising:
By the food image of refrigerator inside described in the infrared camera BR that is arranged at described refrigerator inside.
Optionally, it is characterized in that, the described food image of described analysis, obtains the food information of every based food, comprising:
According to described food image, identify kind and the quantity of described food.
Optionally, the described food image of described analysis, obtains the food information of every based food, also comprises:
Obtain the food image of last shooting;
This food image taken and the last food image taken are compared, obtains user's taking-up or the food classification put into, quantity and time.
Optionally, the described food image of described analysis, obtains the food information of every based food, also comprises:
Determine the quality of described food according to described food image, the quality of described food comprises placement duration or the freshness of described food.
Optionally, the described quality determining described food according to described food image, comprising:
Obtain the color and luster of described food according to described food image, according to the color and luster of food and the default corresponding relation of freshness, determine the freshness that the color and luster of described food is corresponding;
Or,
Obtain according to described food image the time that described food is placed into, calculate the time interval of time that described food is placed into and current time, obtain the placement duration of described food.
Optionally, the described food image of described analysis, obtains the food information of every based food, also comprises:
The food classification of taking out according to user or put into, quantity and time, calculate spending rate and the volume residual of often kind of food.
Optionally, describedly to remind according to described food information, comprising:
Obtain user profile, described user profile comprises following at least one the information of user: age, sex, height, body weight, medical history, physical condition, allergy information;
According to described user profile and described food information, analyze the nutritional information of described user;
The nutritional information of described user is reminded.
Optionally, describedly to remind according to described food information, also comprise:
Obtain at least one information in current geographic position information, season information and climatic information;
According at least one information in described current geographic position information, season information and climatic information and described food information, analyze the nutritional information of described user;
The nutritional information of described user is reminded.
Optionally, described nutritional information comprises following at least one information:
User's nutrition whether equilibrium, required supplementary food, intake to often kind of food.
Optionally, describedly to remind according to described food information, comprising:
Obtain the default food information that user will monitor, described default food information comprises following at least one the information of default food variety: preset food quantity, preset food quality;
When determining that according to described food information the food quantity of described default food variety exceedes or lower than described default food quantity, the food quantity according to described default food variety is reminded user;
When determining the food quality of described default food variety lower than described default food quality according to described food information, the food quality according to described default food variety is reminded user.
According to the second aspect of disclosure embodiment, a kind of food supervising device is provided, comprises:
Acquisition module, for obtaining the food image of refrigerator inside;
Analysis module, for analyzing described food image, obtains the food information of every based food;
Prompting module, for reminding according to described food information.
Optionally, described acquisition module, obtains the food image of described refrigerator inside for the camera by being arranged at described refrigerator inside.
Optionally, described acquisition module, comprising:
Monitoring submodule, for monitoring the light luminance of described refrigerator inside;
Record sub module, for when described light luminance exceedes predetermined luminance value, record current time;
Shooting submodule, for when described light luminance exceedes predetermined luminance value, takes the food image of described refrigerator inside.
Optionally, described acquisition module, comprising:
Shooting submodule, for the food image of refrigerator inside described in the infrared camera BR by being arranged at described refrigerator inside.
Optionally, described analysis module comprises:
Recognin module, for according to described food image, identifies kind and the quantity of described food.
Optionally, described analysis module also comprises:
Obtain submodule, for obtaining the food image of last shooting;
Comparer module, compares with the last food image taken for the food image this taken, obtains user's taking-up or the food classification put into, quantity and time.
Optionally, described analysis module also comprises:
Determine submodule, for determining the quality of described food according to described food image, the quality of described food comprises placement duration or the freshness of described food.
Optionally, described determine submodule be freshness determining unit or for standing time determining unit, wherein,
Described freshness determining unit, for obtaining the color and luster of described food according to described food image, according to the color and luster of food and the default corresponding relation of freshness, determines the freshness that the color and luster of described food is corresponding;
Determining unit, for obtaining the time that described food is placed into according to described food image, calculated the time interval of time that described food is placed into and current time, obtained the placement duration of described food described standing time.
Optionally, described analysis module also comprises:
Calculating sub module, for according to user's taking-up or the food classification put into, quantity and time, calculates spending rate and the volume residual of often kind of food.
Optionally, described prompting module comprises:
First obtains submodule, and for obtaining user profile, described user profile comprises following at least one the information of user: age, sex, height, body weight, medical history, physical condition, allergy information;
First analyzes submodule, for according to described user profile and described food information, analyzes the nutritional information of described user;
Remind submodule, for reminding the nutritional information of described user.
Optionally, described prompting module also comprises:
Second obtains submodule, for obtaining at least one information in current geographic position information, season information and climatic information;
Second analyzes submodule, for according at least one information in described current geographic position information, season information and climatic information and described food information, analyzes the nutritional information of described user;
Described prompting submodule, for reminding the nutritional information of described user.
Optionally, described nutritional information comprises following at least one information:
User's nutrition whether equilibrium, required supplementary food, intake to often kind of food.
Optionally, described prompting module comprises:
3rd obtains submodule, and for obtaining the default food information that user will monitor, described default food information comprises following at least one the information of default food variety: preset food quantity, preset food quality;
Reminding submodule, determining that the food quantity of described default food variety exceedes or lower than described default food quantity, the food quantity according to described default food variety is reminded user for working as according to described food information; When determining the food quality of described default food variety lower than described default food quality according to described food information, the food quality according to described default food variety is reminded user.
According to the third aspect of disclosure embodiment, a kind of food supervising device is provided, comprises:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Obtain the food image of refrigerator inside;
Analyze described food image, obtain the food information of every based food;
Remind according to described food information.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:
In one embodiment, terminal, to the food image obtaining refrigerator inside, is analyzed described food image, is obtained the food information of every based food, obtain the information such as the kind of often kind of food, quantity, placement duration, freshness, spending rate, and according to these information, user is reminded.Like this, the food of refrigerator inside is in person checked without the need to user, just clearly and accurately can know the product situation of refrigerator inside, such as which food is soon expired, which food needs to buy etc., convenient, quick, accurate to the monitoring of food, improve the security of food and the health of user's diet, user experience is better.
In another embodiment, the light luminance of monitoring refrigerator inside, when light luminance exceedes predetermined luminance value, record current time, and take the food image of refrigerator inside.If what refrigerator inside adopted is non-infrared camera, so when refrigerator doors is not opened, this camera cannot photograph clear available food image, only open refrigerator doors user, when the illuminating lamp of refrigerator inside lights, this camera can photograph clearly food image, therefore, control camera and take image when refrigerator inside light luminance reaches certain value, the validity of capture video image can not only be ensured, the time that user takes out or puts into food can also be obtained, so that the follow-up analysis carrying out food information.
In another embodiment, by being arranged at the food image of the infrared camera BR refrigerator inside of refrigerator inside.If what refrigerator inside adopted is infrared camera, then without the need to considering the light luminance of refrigerator inside, infrared camera also can photograph clearly video image when insufficient light.The food image of infrared camera BR refrigerator inside, so that the follow-up analysis carrying out food information.
In another embodiment, according to food image, identify kind and the quantity of food.Carry out cutting to video image to identify, the kind of statistics refrigerator inside food, as veterinary antibiotics, egg, milk, meat, snacks, beverage etc., and the quantity of often kind of food, make the food situation of user to refrigerator inside have a understanding the most basic.
In another embodiment, obtain the food image of last time shooting, this food image taken and the last food image taken are compared, obtain user's taking-up or the food classification put into, quantity and time.The food image photographed by adjacent twice is carried out analysis and identifies, just can know the change of refrigerator inside food, i.e. recording user taking-up or the situation of food put into.Can at the spending rate of subsequent analysis user to refrigerator inside food, and the harmony of user's dietetic nutrition, improve the healthy diet of user.
In another embodiment, according to the quality of food image determination food, the quality of food comprises placement duration or the freshness of food.Wherein, according to the quality of food image determination food, comprising: the color and luster obtaining food according to food image, according to the color and luster of food and the default corresponding relation of freshness, determine the freshness that the color and luster of food is corresponding.Or according to the time that food image acquisition food is placed into, in the time interval of the time that calculating food is placed into and current time, obtain the placement duration of food.The time can putting into food according to the user be recorded to determines the placement duration of food in refrigerator inside, or the freshness of color and luster determination video according to food in food image.Like this, follow-uply can to remind user with regard to stale food, avoid user to eat stale food, ensure food security and the healthy diet of user.
In another embodiment, the food classification of taking out according to user or putting into, quantity and time, spending rate and the volume residual of often kind of food is calculated.By above-mentioned analysis result, spending rate and the volume residual of food can be analyzed further, be convenient to the various nutritional labelings calculating user's absorption, improve the healthy diet of user.
In another embodiment, terminal obtains user profile, and described user profile comprises following at least one the information of user: age, sex, height, body weight, medical history, physical condition, allergy information; According to described user profile and described food information, analyze the nutritional information of described user; The nutritional information of described user is reminded.Food prompting can be carried out according to the own situation of user to user, make to remind accuracy and validity higher, more intelligent, improve further the healthy diet of user, user experience is better.
In another embodiment, at least one information in current geographic position information, season information and climatic information is obtained; According at least one information in described current geographic position information, season information and climatic information and described food information, analyze the nutritional information of described user; The nutritional information of described user is reminded.Terminal automatic acquisition natural cause, and according to natural cause reminding user diet, to the food of user remind accuracy and validity higher, more intelligent, improve the healthy diet of user further, user experience is better.
In another embodiment, obtain the default food information that user will monitor, described default food information comprises following at least one the information of default food variety: preset food quantity, preset food quality; When determining that according to described food information the food quantity of described default food variety exceedes or lower than described default food quantity, the food quantity according to described default food variety is reminded user; When determining the food quality of described default food variety lower than described default food quality according to described food information, the food quality according to described default food variety is reminded user.Need to remind according to user, make user accurately know the product situation of refrigerator inside, can supplement in time or clear up the food in refrigerator, more effectively ensure user's food security and healthy diet, user experience be better.
Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in instructions and to form the part of this instructions, shows embodiment according to the invention, and is used from instructions one and explains principle of the present invention.
Fig. 1 is the process flow diagram of a kind of food method for supervising according to an exemplary embodiment.
Fig. 2 is the process flow diagram that camera according to an exemplary embodiment obtains the food image of refrigerator inside.
Fig. 3 carries out according to food information the process flow diagram reminded according to an exemplary embodiment.
Fig. 4 is the interface schematic diagram of the input user profile according to an exemplary embodiment.
Fig. 5 carries out according to food information the process flow diagram reminded according to another exemplary embodiment.
Fig. 6 carries out according to food information the process flow diagram reminded according to another exemplary embodiment.
Fig. 7 is the block diagram of a kind of food supervising device according to an exemplary embodiment.
Fig. 8 is the block diagram of the acquisition module according to an exemplary embodiment.
Fig. 9 is the block diagram of the acquisition module according to another exemplary embodiment.
Figure 10 is the block diagram of the analysis module according to an exemplary embodiment.
Figure 11 is the block diagram of the analysis module according to another exemplary embodiment.
Figure 12 is the block diagram of the analysis module according to another exemplary embodiment.
Figure 13 is the block diagram of the analysis module according to another exemplary embodiment.
Figure 14 is the block diagram of the prompting module according to an exemplary embodiment.
Figure 15 is the block diagram of the prompting module according to another exemplary embodiment.
Figure 16 is the block diagram of the prompting module according to another exemplary embodiment.
Figure 17 is the block diagram of a kind of device for food monitoring according to an exemplary embodiment.
Embodiment
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the present invention.On the contrary, they only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present invention are consistent.
The technical scheme that disclosure embodiment provides, relates to refrigerator and terminal, and this refrigerator inside is provided with camera, and the food image photographed is sent to terminal, and terminal analyzes food condition by food image, to remind user.This terminal can be mobile phone, computing machine, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, arbitrary equipment with image identification function such as personal digital assistant.
Fig. 1 is the process flow diagram of a kind of food method for supervising according to an exemplary embodiment, and as shown in Figure 1, food method for supervising is used for terminal, comprises the following steps S11-S13.
In step s 11, the food image of refrigerator inside is obtained.
In step s 12, analyze food image, obtain the food information of every based food.
In step s 13, remind according to food information.
In the present embodiment, the food image of terminal to refrigerator inside is analyzed, and obtains the information such as the kind of often kind of food, quantity, placement duration, freshness, spending rate, and reminds user according to these information.Like this, the food of refrigerator inside is in person checked without the need to user, just clearly and accurately can know the product situation of refrigerator inside, such as which food is soon expired, which food needs to buy etc., convenient, quick, accurate to the monitoring of food, improve the security of food and the health of user's diet, user experience is better.
In another embodiment, obtain the food image of refrigerator inside, by being arranged at the camera of refrigerator inside to obtain the food image of refrigerator inside, the food image being obtained refrigerator inside by camera can have following two kinds of modes:
Mode one
Fig. 2 is the process flow diagram that camera according to an exemplary embodiment obtains the food image of refrigerator inside, as shown in Figure 2, comprises the following steps.
In the step s 21, the light luminance of refrigerator inside is monitored.
In step S22, when light luminance exceedes predetermined luminance value, record current time, and take the food image of refrigerator inside.
In mode one, if what refrigerator inside adopted is non-infrared camera, so when refrigerator doors is not opened, this camera cannot photograph clear available food image, only open refrigerator doors user, when the illuminating lamp of refrigerator inside lights, this camera can photograph clearly food image, therefore, control camera and take image when refrigerator inside light luminance reaches certain value, the validity of capture video image can not only be ensured, the time that user takes out or puts into food can also be obtained, so that the follow-up analysis carrying out food information.
Mode two
By being arranged at the food image of the infrared camera BR refrigerator inside of refrigerator inside.
In mode two, if refrigerator inside employing is infrared camera, then without the need to considering the light luminance of refrigerator inside, infrared camera also can photograph clearly video image when insufficient light.The food image of infrared camera BR refrigerator inside, so that the follow-up analysis carrying out food information.
In another embodiment, analyze food image, obtain the food information of every based food, analysis obtains food information can following several mode:
Mode A
According to food image, identify kind and the quantity of food.
In mode A, carry out cutting to video image to identify, the kind of statistics refrigerator inside food, as veterinary antibiotics, egg, milk, meat, snacks, beverage etc., and the quantity of often kind of food, make the food situation of user to refrigerator inside have a understanding the most basic.
Mode B
Obtain the food image of last time shooting, this food image taken and the last food image taken are compared, obtain user's taking-up or the food classification put into, quantity and time.
In mode B, the food image photographed by adjacent twice is carried out analysis and identifies, just can know the change of refrigerator inside food, i.e. recording user taking-up or the situation of food put into.Can at the spending rate of subsequent analysis user to refrigerator inside food, and the harmony of user's dietetic nutrition, improve the healthy diet of user.
Mode C
According to the quality of food image determination food, the quality of food comprises placement duration or the freshness of food.
Wherein, according to the quality of food image determination food, comprising: the color and luster obtaining food according to food image, according to the color and luster of food and the default corresponding relation of freshness, determine the freshness that the color and luster of food is corresponding.Or, according to the time that food image acquisition food is placed into, in the time interval of the time that calculating food is placed into and current time, obtain the placement duration of food.
In mode C, the time can putting into food according to the user be recorded to determines the placement duration of food in refrigerator inside, or the freshness of color and luster determination video according to food in food image.Like this, follow-uply can to remind user with regard to stale food, avoid user to eat stale food, ensure food security and the healthy diet of user.
Mode D
The food classification of taking out according to user or put into, quantity and time, calculate spending rate and the volume residual of often kind of food.
In mode D, the analysis result by the way in B, can analyze spending rate and the volume residual of food further, is convenient to the various nutritional labelings calculating user's absorption, improves the healthy diet of user.
At above-mentioned analysis food image to obtain the mode of food information, the various food informations needed for user can be obtained comprehensively, exactly, make it possible to carry out effective monitoring to the food of refrigerator inside, ensure food security and the diet monitoring of user.
In another embodiment, after getting food information, can according to user pre-set by the information feed back needed for user to user.Fig. 3 carries out according to food information the process flow diagram reminded according to an exemplary embodiment, as shown in Figure 3, reminds according to food information, comprises the following steps:
In step S31, obtain user profile, user profile comprises following at least one the information of user: age, sex, height, body weight, medical history, physical condition, allergy information.
In step s 32, according to user profile and food information, analyze the nutritional information of user.Wherein, nutritional information comprises following at least one information: user's nutrition whether equilibrium, required supplementary food, intake to often kind of food.
In step S33, the nutritional information of user is reminded.
Fig. 4 is the interface schematic diagram of the input user profile according to an exemplary embodiment, as shown in Figure 4, user can be allowed to pre-enter the relevant information of user self, as age, sex, height, body weight, medical history, physical condition, allergy information etc.Wherein, physique situation comprises the body shape developmental level (build of user, body posture, nutrition condition etc.), biochemical functions level (i.e. body metabolic function and each system of human body, the task performance of organ), (namely health is in life for fitness and locomitivity, work and the strength showed in moving, speed, endurance, sensitive, the fitness such as pliable and tough and walking, run, jump, throw, climb, ascend, pendency, the locomitivities such as support), adaptive faculty (the i.e. ability of environment and cold-resistant tolerance to heat to external world, resistivity to disease) etc.Allergy information comprises the anaphylactogen of user, allergy seasons, allergic reaction etc. information.
Such as, in the allergy information of user's input, anaphylactogen is peanut, has peanut butter and biscuit, all comprise peanut in these two kinds of food according in food image recognition to refrigerator, then reminding user these two kinds of food not edible.
Again such as, according to the physique situation of user's input, determine that user needs supplement calcium, have the food such as milk, egg, beef according in food image recognition to refrigerator, these Calcium In Food matter are abundanter, then timed reminding user eats these food.
In the present embodiment, after terminal gets user profile, in conjunction with user profile and food information, can analyze the nutritional information of user, namely whether user is balanced in nutrition, needs which kind of food edible, amount is how many, which food comprises user's allergin, and user needs forbid edible or reduce these foods edible, thus reminds user.Further, terminal can obtain the user profile of multiple user, reminds for different users.Like this, food prompting can be carried out according to the own situation of user to user, make to remind accuracy and validity higher, more intelligent, improve further the healthy diet of user, user experience is better.
In another embodiment, can further residing for user the natural cause reminding user such as region, season, weather need which food edible or reduce which food edible.Fig. 5 carries out according to food information the process flow diagram reminded according to another exemplary embodiment, as shown in Figure 5, reminds according to food information, also comprises:
In step s 51, at least one information in current geographic position information, season information and climatic information is obtained.
In step S52, according at least one information in current geographic position information, season information and climatic information and food information, analyze the nutritional information of user.
In step S53, the nutritional information of user is reminded.
Such as, user is currently located at coastal city, has the seafood such as fishes and shrimps according in food image recognition to refrigerator, then reminding user eats these seafood.
Again such as, be currently in summer, according to have in food image recognition to refrigerator watermelon, peach etc. should season fruit, then reminding user eat these should season food.
Again such as, current climate is dry, and have the food such as pears, radish according in food image recognition to refrigerator, then reminding user eats these promoting production of body fluid and nourishing the lung food.
In the present embodiment, terminal automatic acquisition natural cause, and according to natural cause reminding user diet, to the food of user remind accuracy and validity higher, more intelligent, improve the healthy diet of user further, user experience is better.
In another embodiment, user can customize required information of reminding in advance, and as user only needs to obtain the prompting to the quantity of certain food, or food is expired or by expired prompting, then terminal is reminded according to the information of customization.Fig. 6 carries out according to food information the process flow diagram reminded according to another exemplary embodiment, as shown in Figure 6, reminds according to food information, also comprises:
In step S61, obtain the default food information that user will monitor, default food information comprises following at least one the information of default food variety: preset food quantity, preset food quality.
In step S62, when determining that according to food information the food quantity of default food variety exceedes or lower than default food quantity, the food quantity according to default food variety is reminded user.
In step S63, when determining the food quality of default food variety lower than default food quality according to food information, the food quality according to default food variety is reminded user.
Such as, when user sets that in refrigerator, the quantity of milk is less than 3 bottles, reminding user.Then when terminal obtains that in refrigerator, milk quantity is 2 bottles, milk can be bought in time by reminding user.
Again such as, when user's Yoghourt distance expiration date set in refrigerator also has 3 days or out of date, reminding user.When the Yoghourt distance expiration date in terminal determination refrigerator also has 3 days, reminding user is edible Yoghourt as early as possible, if determine that Yoghourt is out of date, then reminding user clears up expired Yoghourt.
In the present embodiment, need to remind according to user, make user accurately know the product situation of refrigerator inside, can supplement in time or clear up the food in refrigerator, more effectively ensure user's food security and healthy diet, user experience be better.
Following is disclosure device embodiment, may be used for performing disclosure embodiment of the method.
Fig. 7 is the block diagram of a kind of food supervising device according to an exemplary embodiment, and this device can realize becoming the some or all of of electronic equipment by software, hardware or both combinations.As shown in Figure 7, this food supervising device comprises:
Acquisition module 71, is configured to the food image obtaining refrigerator inside.
Analysis module 72, is configured to analyze food image, obtains the food information of every based food.
Prompting module 73, is configured to remind according to food information.
In the present embodiment, analyzed by the food image of analysis module to the refrigerator inside that acquisition module obtains, obtain the information such as the kind of often kind of food, quantity, placement duration, freshness, spending rate, and according to these information, user is reminded by prompting module.Like this, the food of refrigerator inside is in person checked without the need to user, just clearly and accurately can know the product situation of refrigerator inside, such as which food is soon expired, which food needs to buy etc., convenient, quick, accurate to the monitoring of food, improve the security of food and the health of user's diet, user experience is better.
Optionally, acquisition module 71, the camera be configured to by being arranged at refrigerator inside obtains the food image of refrigerator inside.
Fig. 8 is the block diagram of the acquisition module according to an exemplary embodiment, and as shown in Figure 8, optionally, acquisition module 71, comprising:
Monitoring submodule 81, is configured to the light luminance of monitoring refrigerator inside.
Record sub module 82, is configured to when light luminance exceedes predetermined luminance value, record current time.
Shooting submodule 83, is configured to when light luminance exceedes predetermined luminance value, the food image of shooting refrigerator inside.
In possibility, if what refrigerator inside adopted is non-infrared camera, so when refrigerator doors is not opened, this camera cannot photograph clear available food image, only open refrigerator doors user, when the illuminating lamp of refrigerator inside lights, this camera can photograph clearly food image, therefore, monitoring modular controls shooting submodule and takes image when refrigerator inside light luminance reaches certain value, the validity of capture video image can not only be ensured, can also user's taking-up be obtained by record sub module or put into the time of food, so that the follow-up analysis carrying out food information.
Fig. 9 is the block diagram of the acquisition module according to another exemplary embodiment, and as shown in Figure 9, optionally, acquisition module 71, comprising: shooting submodule 91, is configured to the food image of the infrared camera BR refrigerator inside by being arranged at refrigerator inside.
In possibility, if refrigerator inside employing is infrared camera, then without the need to considering the light luminance of refrigerator inside, infrared camera also can photograph clearly video image when insufficient light.The food image of infrared camera BR refrigerator inside, so that the follow-up analysis carrying out food information.
Figure 10 is the block diagram of the analysis module according to an exemplary embodiment, and as shown in Figure 10, optionally, analysis module 72 comprises:
Recognin module 101, is configured to according to food image, identifies kind and the quantity of food.
Figure 11 is the block diagram of the analysis module according to another exemplary embodiment, and as shown in figure 11, optionally, analysis module 72 also comprises:
Obtain submodule 102, be configured to the food image obtaining last shooting.
Comparer module 103, the food image being configured to this to take is compared with the last food image taken, and obtains user's taking-up or the food classification put into, quantity and time.
Figure 12 is the block diagram of the analysis module according to another exemplary embodiment, and as shown in figure 12, optionally, analysis module 72 also comprises:
Determine submodule 104, be configured to the quality according to food image determination food, the quality of food comprises placement duration or the freshness of food.
Optionally, determine submodule 104 freshness determining unit or for standing time determining unit, wherein.Freshness determining unit, is configured to the color and luster obtaining described food according to described food image, according to the color and luster of food and the default corresponding relation of freshness, determines the freshness that the color and luster of described food is corresponding.Standing time, determining unit, was configured to obtain according to described food image the time that described food is placed into, and calculated the time interval of time that described food is placed into and current time, obtained the placement duration of described food.
Figure 13 is the block diagram of the analysis module according to another exemplary embodiment, and as shown in figure 13, optionally, analysis module 72 also comprises:
Calculating sub module 105, is configured to, according to user's taking-up or the food classification put into, quantity and time, calculate spending rate and the volume residual of often kind of food.
In above-mentioned possibility, by each submodule in analysis module, the various food informations needed for user can be obtained comprehensively, exactly, make it possible to carry out effective monitoring to the food of refrigerator inside, ensure food security and the diet monitoring of user.
Figure 14 is the block diagram of the prompting module according to an exemplary embodiment, and as shown in figure 14, optionally, prompting module 73 comprises:
First obtains submodule 141, and be configured to obtain user profile, user profile comprises following at least one the information of user: age, sex, body weight, medical history, physical condition, allergy information.
First analyzes submodule 142, is configured to according to user profile and food information, analyzes the nutritional information of user.
Remind submodule 143, be configured to remind the nutritional information of user.
In possibility, after prompting module gets user profile, in conjunction with user profile and food information, can analyze the nutritional information of user, namely whether user is balanced in nutrition, needs which kind of food edible, amount is how many, which food comprises user's allergin, and user needs forbid edible or reduce these foods edible, thus reminds user.Further, terminal can obtain the user profile of multiple user, reminds for different users.Like this, food prompting can be carried out according to the own situation of user to user, make to remind accuracy and validity higher, more intelligent, improve further the healthy diet of user, user experience is better.
Figure 15 is the block diagram of the prompting module according to another exemplary embodiment, and as shown in figure 15, optionally, prompting module 73 also comprises:
Second obtains submodule 144, is configured to obtain at least one information in current geographic position information, season information and climatic information.
Second analyzes submodule 145, is configured to according at least one information in current geographic position information, season information and climatic information and food information, analyzes the nutritional information of user.
Remind submodule 143, be configured to remind the nutritional information of user.
In possibility, prompting module obtains natural cause, and according to natural cause reminding user diet, to the food of user remind accuracy and validity higher, more intelligent, improve the healthy diet of user further, user experience is better.
Optionally, nutritional information comprises following at least one information:
User's nutrition whether equilibrium, required supplementary food, intake to often kind of food.
Figure 16 is the block diagram of the prompting module according to another exemplary embodiment, and as shown in figure 16, optionally, prompting module 73 comprises:
3rd obtains submodule 161, and be configured to the default food information that acquisition user will monitor, default food information comprises following at least one the information of default food variety: preset food quantity, preset food quality.
Reminding submodule 162, being configured to when determining that the food quantity of default food variety exceedes or lower than default food quantity, the food quantity according to default food variety is reminded user according to food information.When determining the food quality of default food variety lower than default food quality according to food information, the food quality according to default food variety is reminded user.
In possibility, prompting module needs to remind according to user, makes user accurately know the product situation of refrigerator inside, can supplement in time or clear up the food in refrigerator, more effectively ensure user's food security and healthy diet, user experience is better.
The disclosure also provides a kind of food supervising device, comprising:
Processor and the storer for storage of processor executable instruction.
Wherein, described processor is configured to:
Obtain the food image of refrigerator inside.
Analyze described food image, obtain the food information of every based food.
Remind according to described food information.
About the device in above-described embodiment, wherein the concrete mode of modules executable operations has been described in detail in about the embodiment of the method, will not elaborate explanation herein.
Figure 17 is the block diagram of a kind of device for food monitoring according to an exemplary embodiment, and this device is applicable to terminal device.Such as, device 1700 can be video camera, sound pick-up outfit, mobile phone, computing machine, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc.
Device 1700 can comprise following one or more assembly: processing components 1702, storer 1704, power supply module 1706, multimedia groupware 1708, audio-frequency assembly 1710, the interface 1712 of I/O (I/O), sensor module 1714, and communications component 1716.
The integrated operation of the usual control device 1700 of processing components 1702, such as with display, call, data communication, camera operation and record operate the operation be associated.Treatment element 1702 can comprise one or more processor 1720 to perform instruction, to complete all or part of step of above-mentioned method.In addition, processing components 1702 can comprise one or more module, and what be convenient between processing components 1702 and other assemblies is mutual.Such as, processing element 1702 can comprise multi-media module, mutual with what facilitate between multimedia groupware 1708 and processing components 1702.
Storer 1704 is configured to store various types of data to be supported in the operation of equipment 1700.The example of these data comprises for any application program of operation on device 1700 or the instruction of method, contact data, telephone book data, message, picture, video etc.Storer 1704 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), ROM (read-only memory) (ROM), magnetic store, flash memory, disk or CD.
The various assemblies that power supply module 1706 is device 1700 provide electric power.Power supply module 1706 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 1700 and be associated.
Multimedia groupware 1708 is included in the screen providing an output interface between described device 1700 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel comprises one or more touch sensor with the gesture on sensing touch, slip and touch panel.Described touch sensor can the border of not only sensing touch or sliding action, but also detects the duration relevant to described touch or slide and pressure.In certain embodiments, multimedia groupware 1708 comprises a front-facing camera and/or post-positioned pick-up head.When equipment 1700 is in operator scheme, during as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data.Each front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom ability.
Audio-frequency assembly 1710 is configured to export and/or input audio signal.Such as, audio-frequency assembly 1710 comprises a microphone (MIC), and when device 1700 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The sound signal received can be stored in storer 1704 further or be sent via communications component 1716.In certain embodiments, audio-frequency assembly 1710 also comprises a loudspeaker, for output audio signal.
I/O interface 1712 is for providing interface between processing components 1702 and peripheral interface module, and above-mentioned peripheral interface module can be keyboard, some striking wheel, button etc.These buttons can include but not limited to: home button, volume button, start button and locking press button.
Sensor module 1714 comprises one or more sensor, for providing the state estimation of various aspects for device 1700.Such as, sensor module 1714 can detect the opening/closing state of equipment 1700, the relative positioning of assembly, such as described assembly is display and the keypad of device 1700, the position of all right pick-up unit 1700 of sensor module 1714 or device 1700 assemblies changes, the presence or absence that user contacts with device 1700, the temperature variation of device 1700 orientation or acceleration/deceleration and device 1700.Sensor module 1714 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor module 1714 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor module 1714 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 1716 is configured to the communication being convenient to wired or wireless mode between device 1700 and other equipment.Device 1700 can access the wireless network based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communications component 1716 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communications component 1716 also comprises near-field communication (NFC) module, to promote junction service.Such as, can based on radio-frequency (RF) identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 1700 can be realized, for performing said method by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD) (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the storer 1704 of instruction, above-mentioned instruction can perform said method by the processor 1720 of device 1700.Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.
A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is performed by the processor of device 1700, makes device 1700 can perform above-mentioned food method for supervising, comprising:
Obtain the food image of refrigerator inside.
Analyze described food image, obtain the food information of every based food.
Remind according to described food information.
Optionally, the food image of described acquisition refrigerator inside, comprising:
The food image of described refrigerator inside is obtained by the camera being arranged at described refrigerator inside.
Optionally, the described camera by being arranged at described refrigerator inside obtains the food image of described refrigerator inside, comprising:
Monitor the light luminance of described refrigerator inside.
When described light luminance exceedes predetermined luminance value, record current time, and take the food image of described refrigerator inside.
Optionally, the described camera by being arranged at described refrigerator inside obtains the food image of described refrigerator inside, comprising:
By the food image of refrigerator inside described in the infrared camera BR that is arranged at described refrigerator inside.
Optionally, it is characterized in that, the described food image of described analysis, obtains the food information of every based food, comprising:
According to described food image, identify kind and the quantity of described food.
Optionally, the described food image of described analysis, obtains the food information of every based food, also comprises:
Obtain the food image of last shooting.
This food image taken and the last food image taken are compared, obtains user's taking-up or the food classification put into, quantity and time.
Optionally, the described food image of described analysis, obtains the food information of every based food, also comprises:
Determine the quality of described food according to described food image, the quality of described food comprises placement duration or the freshness of described food.
Optionally, the described quality determining described food according to described food image, comprising:
Obtain the color and luster of described food according to described food image, according to the color and luster of food and the default corresponding relation of freshness, determine the freshness that the color and luster of described food is corresponding.
Or,
Obtain according to described food image the time that described food is placed into, calculate the time interval of time that described food is placed into and current time, obtain the placement duration of described food.
Optionally, the described food image of described analysis, obtains the food information of every based food, also comprises:
The food classification of taking out according to user or put into, quantity and time, calculate spending rate and the volume residual of often kind of food.
Optionally, describedly to remind according to described food information, comprising:
Obtain user profile, described user profile comprises following at least one the information of user: age, sex, height, body weight, medical history, physical condition, allergy information.
According to described user profile and described food information, analyze the nutritional information of described user.
The nutritional information of described user is reminded.
Optionally, describedly to remind according to described food information, also comprise:
Obtain at least one information in current geographic position information, season information and climatic information.
According at least one information in described current geographic position information, season information and climatic information and described food information, analyze the nutritional information of described user.
The nutritional information of described user is reminded.
Optionally, described nutritional information comprises following at least one information:
User's nutrition whether equilibrium, required supplementary food, intake to often kind of food.
Optionally, describedly to remind according to described food information, comprising:
Obtain the default food information that user will monitor, described default food information comprises following at least one the information of default food variety: preset food quantity, preset food quality.
When determining that according to described food information the food quantity of described default food variety exceedes or lower than described default food quantity, the food quantity according to described default food variety is reminded user.
When determining the food quality of described default food variety lower than described default food quality according to described food information, the food quality according to described default food variety is reminded user.
Those skilled in the art, at consideration instructions and after putting into practice disclosed herein disclosing, will easily expect other embodiment of the present disclosure.The application is intended to contain any modification of the present disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present disclosure and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Instructions and embodiment are only regarded as exemplary, and true scope of the present disclosure and spirit are pointed out by claim below.
Should be understood that, the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.The scope of the present disclosure is only limited by appended claim.

Claims (27)

1. a food method for supervising, is characterized in that, comprising:
Obtain the food image of refrigerator inside;
Analyze described food image, obtain the food information of every based food;
Remind according to described food information.
2. method according to claim 1, is characterized in that, the food image of described acquisition refrigerator inside, comprising:
The food image of described refrigerator inside is obtained by the camera being arranged at described refrigerator inside.
3. method according to claim 2, is characterized in that, the described camera by being arranged at described refrigerator inside obtains the food image of described refrigerator inside, comprising:
Monitor the light luminance of described refrigerator inside;
When described light luminance exceedes predetermined luminance value, record current time, and take the food image of described refrigerator inside.
4. method according to claim 2, is characterized in that, the described camera by being arranged at described refrigerator inside obtains the food image of described refrigerator inside, comprising:
By the food image of refrigerator inside described in the infrared camera BR that is arranged at described refrigerator inside.
5. the method according to any one of claim 1-4, is characterized in that, the described food image of described analysis, obtains the food information of every based food, comprising:
According to described food image, identify kind and the quantity of described food.
6. method according to claim 5, is characterized in that, the described food image of described analysis, obtains the food information of every based food, also comprise:
Obtain the food image of last shooting;
This food image taken and the last food image taken are compared, obtains user's taking-up or the food classification put into, quantity and time.
7. method according to claim 5, is characterized in that, the described food image of described analysis, obtains the food information of every based food, also comprise:
Determine the quality of described food according to described food image, the quality of described food comprises placement duration or the freshness of described food.
8. method according to claim 7, is characterized in that, the described quality determining described food according to described food image, comprising:
Obtain the color and luster of described food according to described food image, according to the color and luster of food and the default corresponding relation of freshness, determine the freshness that the color and luster of described food is corresponding;
Or,
Obtain according to described food image the time that described food is placed into, calculate the time interval of time that described food is placed into and current time, obtain the placement duration of described food.
9. method according to claim 6, is characterized in that, the described food image of described analysis, obtains the food information of every based food, also comprise:
The food classification of taking out according to user or put into, quantity and time, calculate spending rate and the volume residual of often kind of food.
10. method according to claim 1, is characterized in that, describedly reminds according to described food information, comprising:
Obtain user profile, described user profile comprises following at least one the information of user: age, sex, height, body weight, medical history, physical condition, allergy information;
According to described user profile and described food information, analyze the nutritional information of described user;
The nutritional information of described user is reminded.
11. methods according to claim 1 or 10, is characterized in that, describedly remind according to described food information, also comprise:
Obtain at least one information in current geographic position information, season information and climatic information;
According at least one information in described current geographic position information, season information and climatic information and described food information, analyze the nutritional information of described user;
The nutritional information of described user is reminded.
12. methods according to claim 10 or 11, it is characterized in that, described nutritional information comprises following at least one information:
User's nutrition whether equilibrium, required supplementary food, intake to often kind of food.
13. methods according to claim 1, is characterized in that, describedly remind according to described food information, comprising:
Obtain the default food information that user will monitor, described default food information comprises following at least one the information of default food variety: preset food quantity, preset food quality;
When determining that according to described food information the food quantity of described default food variety exceedes or lower than described default food quantity, the food quantity according to described default food variety is reminded user;
When determining the food quality of described default food variety lower than described default food quality according to described food information, the food quality according to described default food variety is reminded user.
14. 1 kinds of food supervising devices, is characterized in that, comprising:
Acquisition module, for obtaining the food image of refrigerator inside;
Analysis module, for analyzing described food image, obtains the food information of every based food;
Prompting module, for reminding according to described food information.
15. devices according to claim 14, is characterized in that, described acquisition module, obtain the food image of described refrigerator inside for the camera by being arranged at described refrigerator inside.
16. devices according to claim 15, is characterized in that, described acquisition module, comprising:
Monitoring submodule, for monitoring the light luminance of described refrigerator inside;
Record sub module, for when described light luminance exceedes predetermined luminance value, record current time;
Shooting submodule, for when described light luminance exceedes predetermined luminance value, takes the food image of described refrigerator inside.
17. devices according to claim 15, is characterized in that, described acquisition module, comprising:
Shooting submodule, for the food image of refrigerator inside described in the infrared camera BR by being arranged at described refrigerator inside.
18. devices according to any one of claim 14-17, it is characterized in that, described analysis module comprises:
Recognin module, for according to described food image, identifies kind and the quantity of described food.
19. devices according to claim 18, is characterized in that, described analysis module also comprises:
Obtain submodule, for obtaining the food image of last shooting;
Comparer module, compares with the last food image taken for the food image this taken, obtains user's taking-up or the food classification put into, quantity and time.
20. devices according to claim 18, is characterized in that, described analysis module also comprises:
Determine submodule, for determining the quality of described food according to described food image, the quality of described food comprises placement duration or the freshness of described food.
21. devices according to claim 20, is characterized in that, described determine submodule be freshness determining unit or for standing time determining unit, wherein,
Described freshness determining unit, for obtaining the color and luster of described food according to described food image, according to the color and luster of food and the default corresponding relation of freshness, determines the freshness that the color and luster of described food is corresponding;
Determining unit, for obtaining the time that described food is placed into according to described food image, calculated the time interval of time that described food is placed into and current time, obtained the placement duration of described food described standing time.
22. devices according to claim 19, is characterized in that, described analysis module also comprises:
Calculating sub module, for according to user's taking-up or the food classification put into, quantity and time, calculates spending rate and the volume residual of often kind of food.
23. devices according to claim 14, is characterized in that, described prompting module comprises:
First obtains submodule, and for obtaining user profile, described user profile comprises following at least one the information of user: age, sex, height, body weight, medical history, physical condition, allergy information;
First analyzes submodule, for according to described user profile and described food information, analyzes the nutritional information of described user;
Remind submodule, for reminding the nutritional information of described user.
24. devices according to claim 23, is characterized in that, described prompting module also comprises:
Second obtains submodule, for obtaining at least one information in current geographic position information, season information and climatic information;
Second analyzes submodule, for according at least one information in described current geographic position information, season information and climatic information and described food information, analyzes the nutritional information of described user;
Described prompting submodule, for reminding the nutritional information of described user.
25. devices according to claim 23 or 24, it is characterized in that, described nutritional information comprises following at least one information:
User's nutrition whether equilibrium, required supplementary food, intake to often kind of food.
26. devices according to claim 14, is characterized in that, described prompting module comprises:
3rd obtains submodule, and for obtaining the default food information that user will monitor, described default food information comprises following at least one the information of default food variety: preset food quantity, preset food quality;
Reminding submodule, determining that the food quantity of described default food variety exceedes or lower than described default food quantity, the food quantity according to described default food variety is reminded user for working as according to described food information; When determining the food quality of described default food variety lower than described default food quality according to described food information, the food quality according to described default food variety is reminded user.
27. 1 kinds of food supervising devices, is characterized in that, comprising:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Obtain the food image of refrigerator inside;
Analyze described food image, obtain the food information of every based food;
Remind according to described food information.
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Cited By (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105512501A (en) * 2016-01-05 2016-04-20 京东方科技集团股份有限公司 Intelligent diet analysis system
CN106092816A (en) * 2016-06-29 2016-11-09 蔡璟 A kind of domestic intelligent rots to detect device
CN106303607A (en) * 2016-08-31 2017-01-04 冠捷显示科技(厦门)有限公司 A kind of Household diet control system based on intelligent television
CN106991671A (en) * 2017-03-31 2017-07-28 联想(北京)有限公司 Information processing method and information processor
WO2018000981A1 (en) * 2016-06-29 2018-01-04 合肥华凌股份有限公司 Method and system for recording food put-in time by intelligent refrigerator, and intelligent refrigerator
CN107752584A (en) * 2017-10-13 2018-03-06 戴静 Storage system based on database Intelligent Recognition article
CN107843044A (en) * 2016-09-21 2018-03-27 比亚迪股份有限公司 Object detecting method in object detecting system, vehicle and refrigerator in refrigerator
CN108134809A (en) * 2016-12-01 2018-06-08 佛山市顺德区美的电热电器制造有限公司 A kind of methods, devices and systems of information push
CN108332504A (en) * 2017-12-08 2018-07-27 青岛海尔智能技术研发有限公司 Foodstuff calories detection method and refrigerator
CN108414701A (en) * 2017-02-09 2018-08-17 佛山市顺德区美的电热电器制造有限公司 A kind of food materials freshness discrimination method and household electrical appliances
CN108512732A (en) * 2018-04-03 2018-09-07 珠海和隽科技有限公司 A kind of intelligent refrigerator control system and method
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CN109725117A (en) * 2017-10-31 2019-05-07 青岛海尔智能技术研发有限公司 The method and device that foodstuff calories detect in refrigerator
CN109741080A (en) * 2019-01-10 2019-05-10 宋昱锋 A kind of time limit commodity shelf-life system for prompting
CN109756651A (en) * 2017-11-01 2019-05-14 浙江舜宇智能光学技术有限公司 Low temperature environment high-speed camera equipment and its imaging method
CN109884912A (en) * 2019-03-23 2019-06-14 珠海格力电器股份有限公司 Intelligent prompt method, device, storage medium and equipment based on user's stroke
CN110148444A (en) * 2018-02-14 2019-08-20 北京京东尚科信息技术有限公司 The health data monitoring method and intelligent refrigerator of intelligent refrigerator
CN110598591A (en) * 2019-08-28 2019-12-20 卓尔智联(武汉)研究院有限公司 Information processing method and device, equipment and storage medium
CN110749137A (en) * 2018-07-24 2020-02-04 青岛海尔智能技术研发有限公司 Refrigerator and control method for refrigerator
CN111256426A (en) * 2020-01-16 2020-06-09 珠海格力电器股份有限公司 Method and device for adjusting temperature, refrigerator, computer equipment and storage medium
US10942932B2 (en) 2018-01-22 2021-03-09 Everything Food, Inc. System and method for grading and scoring food
CN113266979A (en) * 2021-05-14 2021-08-17 山东省疾病预防控制中心 Portable fresh-keeping food sampling storage device
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TWI751977B (en) * 2016-07-25 2022-01-11 日商三菱電機股份有限公司 Refrigerator, network system equipped with the refrigerator, method of reporting living conditions, and reporting program of living conditions

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103017475A (en) * 2012-12-03 2013-04-03 江苏大学 Intelligent temperature control refrigerator
CN103206834A (en) * 2012-01-17 2013-07-17 海尔集团公司 Refrigerator health management system and method
CN103322767A (en) * 2013-07-09 2013-09-25 合肥美的电冰箱有限公司 Fresh-keeping control method, system and refrigerator for food in refrigerator based on mobile terminal
CN103363751A (en) * 2012-03-30 2013-10-23 海尔集团公司 Refrigerator and inventory management method thereof
CN103822431A (en) * 2014-02-25 2014-05-28 四川长虹电器股份有限公司 Refrigerator
CN103884152A (en) * 2014-02-28 2014-06-25 四川长虹电器股份有限公司 Refrigerator capable of providing health indexes and system
CN103940192A (en) * 2014-04-24 2014-07-23 合肥美菱股份有限公司 Refrigerator food health management system
JP2014196843A (en) * 2013-03-29 2014-10-16 パナソニック株式会社 Refrigerator and refrigerator system
CN104197633A (en) * 2014-09-22 2014-12-10 合肥华凌股份有限公司 Food preservation management refrigerator and food preservation management method

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103206834A (en) * 2012-01-17 2013-07-17 海尔集团公司 Refrigerator health management system and method
CN103363751A (en) * 2012-03-30 2013-10-23 海尔集团公司 Refrigerator and inventory management method thereof
CN103017475A (en) * 2012-12-03 2013-04-03 江苏大学 Intelligent temperature control refrigerator
JP2014196843A (en) * 2013-03-29 2014-10-16 パナソニック株式会社 Refrigerator and refrigerator system
CN103322767A (en) * 2013-07-09 2013-09-25 合肥美的电冰箱有限公司 Fresh-keeping control method, system and refrigerator for food in refrigerator based on mobile terminal
CN103822431A (en) * 2014-02-25 2014-05-28 四川长虹电器股份有限公司 Refrigerator
CN103884152A (en) * 2014-02-28 2014-06-25 四川长虹电器股份有限公司 Refrigerator capable of providing health indexes and system
CN103940192A (en) * 2014-04-24 2014-07-23 合肥美菱股份有限公司 Refrigerator food health management system
CN104197633A (en) * 2014-09-22 2014-12-10 合肥华凌股份有限公司 Food preservation management refrigerator and food preservation management method

Cited By (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105512501A (en) * 2016-01-05 2016-04-20 京东方科技集团股份有限公司 Intelligent diet analysis system
CN106092816B (en) * 2016-06-29 2018-11-23 泰州市龙泽环境科技有限公司 A kind of rotten detection device of domestic intelligent
CN106092816A (en) * 2016-06-29 2016-11-09 蔡璟 A kind of domestic intelligent rots to detect device
WO2018000981A1 (en) * 2016-06-29 2018-01-04 合肥华凌股份有限公司 Method and system for recording food put-in time by intelligent refrigerator, and intelligent refrigerator
TWI751977B (en) * 2016-07-25 2022-01-11 日商三菱電機股份有限公司 Refrigerator, network system equipped with the refrigerator, method of reporting living conditions, and reporting program of living conditions
CN106303607A (en) * 2016-08-31 2017-01-04 冠捷显示科技(厦门)有限公司 A kind of Household diet control system based on intelligent television
CN107843044B (en) * 2016-09-21 2020-05-22 比亚迪股份有限公司 Refrigerator object detection system, vehicle and refrigerator object detection method
CN107843044A (en) * 2016-09-21 2018-03-27 比亚迪股份有限公司 Object detecting method in object detecting system, vehicle and refrigerator in refrigerator
CN108134809A (en) * 2016-12-01 2018-06-08 佛山市顺德区美的电热电器制造有限公司 A kind of methods, devices and systems of information push
CN108414701A (en) * 2017-02-09 2018-08-17 佛山市顺德区美的电热电器制造有限公司 A kind of food materials freshness discrimination method and household electrical appliances
CN106991671A (en) * 2017-03-31 2017-07-28 联想(北京)有限公司 Information processing method and information processor
CN107752584B (en) * 2017-10-13 2021-03-05 戴静 Storage system based on database intelligent identification article
CN107752584A (en) * 2017-10-13 2018-03-06 戴静 Storage system based on database Intelligent Recognition article
CN109725117A (en) * 2017-10-31 2019-05-07 青岛海尔智能技术研发有限公司 The method and device that foodstuff calories detect in refrigerator
CN109756651A (en) * 2017-11-01 2019-05-14 浙江舜宇智能光学技术有限公司 Low temperature environment high-speed camera equipment and its imaging method
CN108332504A (en) * 2017-12-08 2018-07-27 青岛海尔智能技术研发有限公司 Foodstuff calories detection method and refrigerator
US10942932B2 (en) 2018-01-22 2021-03-09 Everything Food, Inc. System and method for grading and scoring food
CN110148444A (en) * 2018-02-14 2019-08-20 北京京东尚科信息技术有限公司 The health data monitoring method and intelligent refrigerator of intelligent refrigerator
CN108512732A (en) * 2018-04-03 2018-09-07 珠海和隽科技有限公司 A kind of intelligent refrigerator control system and method
CN109008586A (en) * 2018-06-27 2018-12-18 佛山市云米电器科技有限公司 It is a kind of can carry out diet supervision scorch device and method
CN108846376A (en) * 2018-06-29 2018-11-20 珠海格力电器股份有限公司 Food method of state management, device, system, computer equipment and storage medium
CN110749137A (en) * 2018-07-24 2020-02-04 青岛海尔智能技术研发有限公司 Refrigerator and control method for refrigerator
CN109741080A (en) * 2019-01-10 2019-05-10 宋昱锋 A kind of time limit commodity shelf-life system for prompting
CN109884912A (en) * 2019-03-23 2019-06-14 珠海格力电器股份有限公司 Intelligent prompt method, device, storage medium and equipment based on user's stroke
CN110598591A (en) * 2019-08-28 2019-12-20 卓尔智联(武汉)研究院有限公司 Information processing method and device, equipment and storage medium
CN111256426A (en) * 2020-01-16 2020-06-09 珠海格力电器股份有限公司 Method and device for adjusting temperature, refrigerator, computer equipment and storage medium
CN111256426B (en) * 2020-01-16 2021-08-17 珠海格力电器股份有限公司 Method and device for adjusting temperature, refrigerator, computer equipment and storage medium
CN113266979A (en) * 2021-05-14 2021-08-17 山东省疾病预防控制中心 Portable fresh-keeping food sampling storage device
CN113780182A (en) * 2021-09-13 2021-12-10 阜阳职业技术学院 Method and system for detecting food freshness

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Application publication date: 20151223