CN109636268A - A kind of kinds of goods monitoring system - Google Patents

A kind of kinds of goods monitoring system Download PDF

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CN109636268A
CN109636268A CN201811351445.9A CN201811351445A CN109636268A CN 109636268 A CN109636268 A CN 109636268A CN 201811351445 A CN201811351445 A CN 201811351445A CN 109636268 A CN109636268 A CN 109636268A
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kinds
goods
freshness
information
indicating
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CN109636268B (en
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张飞
郭华洋
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Koubei Shanghai Information Technology Co Ltd
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Koubei Shanghai Information Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection

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Abstract

The application discloses a kind of kinds of goods monitoring system and a kind of kinds of goods monitoring method and device.The kinds of goods monitoring system includes: information gathering subsystem and image recognition subsystem, wherein information gathering subsystem is used to acquire the image information of display kinds of goods state, image recognition subsystem is used to carry out feature extraction for described image information, obtain the characteristic information for indicating kinds of goods freshness, according to described for indicating the characteristic information of kinds of goods freshness, the first freshness data of the kinds of goods are obtained.Using kinds of goods monitoring system provided by the present application, kinds of goods freshness situation of change can be recognized accurately, to realize the effective monitoring for kinds of goods freshness by the characteristic information of comparison inventory good freshness variation front and back different angle image information.

Description

A kind of kinds of goods monitoring system
Technical field
This application involves kinds of goods Stock Managment Domains, and in particular to a kind of kinds of goods monitoring system.Additionally relate to a kind of goods Articles monitoring method, device, electronic equipment and storage equipment.
Background technique
With the improvement of people ' s living standards with the transformation of life style, the frequency to eat out is gradually increasing, food and drink Industry is also fast-developing therewith.In order to meet the fast-developing requirement of catering industry, a kind of more scientific and effective library is needed Management system is deposited, because the freshness of inventory good is most important for catering industry, but increasingly with kinds of goods type It is more, how quickly to obtain the freshness information of various species kinds of goods and in time that the freshness information of various species kinds of goods is fast Speed, accurately to be passed to monitor terminal but troubling always.
Currently, catering industry for inventory good freshness information monitoring be all carried out by artificial mode, but Be it is more or when work is relatively busy in kinds of goods type, rely solely on and artificially check and notify time-consuming and laborious and often will cause leakage Report, wrong report etc..Therefore, it is difficult to clearly grasp the freshness situation of all kinds kinds of goods.
To solve the above-mentioned problems, traditional Catering Management software systems have been introduced in many dining rooms, allow computer to help to supervise The freshness situation for controlling kinds of goods, to improve the inventory good efficiency of management.But by kinds of goods freshness data input in lobby electricity On brain, for original way to manage, also only become computer record from artificial check, the displaying goods of relative straightforward The freshness situation of product again without fundamentally solving the above problems, and operates relatively cumbersome, reduces catering industry needle The accuracy of the efficiency of management and monitoring to inventory good freshness situation.
Summary of the invention
The application provides a kind of kinds of goods monitoring system, with solve above-mentioned kinds of goods inventory monitoring system of the existing technology without Method monitors the problem of freshness situation of change of inventory good in real time, and for the efficiency of management of inventory good freshness situation The lower problem with the accuracy of monitoring.In addition the application provides a kind of kinds of goods monitoring method, device, electronic equipment and storage and sets It is standby.
Kinds of goods monitoring system provided by the present application, including information gathering subsystem and image recognition subsystem;
The information gathering subsystem, for acquiring the image information of display kinds of goods state;
Described image recognition subsystem is obtained for carrying out feature extraction for described image information for indicating kinds of goods The characteristic information of freshness, according to described for indicating the characteristic information of kinds of goods freshness, obtain the kinds of goods first is fresh Degree evidence.
Optionally, the information gathering subsystem is specifically used for, the present image information of acquisition display kinds of goods current state And show the image information before of state before kinds of goods;
Described image recognition subsystem is specifically used for, and carries out feature extraction for the present image information, is used for The characteristic information for indicating the current freshness of kinds of goods carries out feature extraction for the image information before, obtains for indicating goods The characteristic information of freshness before product, according to the characteristic information for indicating the current freshness of kinds of goods and described for indicating The characteristic information of freshness before kinds of goods obtains the first freshness data.
Optionally, described image recognition subsystem is specifically used for, and calculates described for indicating the spy of the current freshness of kinds of goods Reference breath and the diversity factor for indicating before kinds of goods between the characteristic information of freshness, determine belonging to the diversity factor Diversity factor range, according to the corresponding relationship between the diversity factor range being obtained ahead of time and the freshness data of kinds of goods, described in acquisition First freshness data.
Optionally, the characteristic information for indicating kinds of goods freshness is the characteristic value for indicating kinds of goods freshness;
Described image recognition subsystem is specifically used for, and determines described for indicating spy belonging to the characteristic value of kinds of goods freshness Value indicative range obtains described the according to the corresponding relationship between the freshness data of the range of characteristic values and kinds of goods that are obtained ahead of time One freshness data.
Optionally, described for indicating that the characteristic information of kinds of goods freshness includes the shape of the colouring information of kinds of goods, kinds of goods At least one of the frequent activity degree of information, kinds of goods itself information.
Optionally, the information gathering subsystem is specifically used for, the continuous multiple images of acquisition display kinds of goods state change Information;
Described image recognition subsystem is specifically used for, and carries out feature extraction for the continuous multiple images information, obtains Motion vector information and residual error data information of the kinds of goods in the continuous multiple images information, according to the motion vector information With the frequent activity degree of kinds of goods described in residual error data information acquisition itself, according to the frequent activity degree of the kinds of goods being obtained ahead of time itself Corresponding relationship between the freshness data of kinds of goods obtains the first freshness data.
Optionally, the kinds of goods monitoring system, further includes: odiferous information processing subsystem and freshness data processing subsystem System;
The odiferous information processing subsystem, for acquiring the odiferous information of kinds of goods, according to the odiferous information of the kinds of goods, Obtain the second freshness data of the kinds of goods;
The freshness data process subsystem, for according to the first freshness data and second freshness Data determine the third freshness data of the kinds of goods.
Optionally, the freshness data process subsystem is specifically used for, by the first freshness data and described Second freshness data carry out average computation, obtain the average freshness data of the kinds of goods, by the average fresh of the kinds of goods Degree evidence is determined as the third freshness data.
Optionally, the freshness data process subsystem is specifically used for, by the first freshness data and described The low freshness data of numerical value are determined as the third freshness data in second freshness data.
Optionally, the freshness data process subsystem is specifically used for:
Calculate the similarity between the first freshness data and the second freshness data;
If the similarity meets or exceeds similarity threshold, the first freshness data or described are randomly choosed Second freshness data are as the third freshness data, alternatively, newly by the first freshness data and described second Freshness data carry out average computation, the average freshness data of the kinds of goods are obtained, by the average freshness data of the kinds of goods It is determined as the third freshness data;
If the similarity is lower than the similarity threshold, newly by the first freshness data and described second The low freshness data of numerical value are determined as the third freshness data in freshness data.
Optionally, the kinds of goods monitoring system, further includes: kinds of goods buy clear subsystem, for according to first freshness Data judge whether the inventory status of the kinds of goods is effective, if it is valid, the kinds of goods are determined as inventory good, otherwise, The kinds of goods are determined as noninventory kinds of goods.
Optionally, the kinds of goods are bought clear clear subsystem and are specifically used for, and obtain according to the first freshness data and in advance Corresponding relationship between the freshness data of the kinds of goods obtained and the inventory status of the kinds of goods, judges the inventory of the kinds of goods Whether state is effective.
Optionally, the kinds of goods monitoring system, further includes: kinds of goods condition managing subsystem is new for obtaining described first Freshness data compare and analyze the first freshness data and the standard freshness data of the kinds of goods, obtain difference Information sends the kinds of goods to monitor terminal if the different information meets or exceeds preset different information threshold value Information.
Optionally, the information gathering subsystem is specifically used for, for the position that kinds of goods are stored, from multiple angle acquisitions Show the image information of kinds of goods state.
Optionally, the multiple angle includes top, front, rear portion, left side, right side, the bottom for the position that kinds of goods are stored At least two angles in portion.
Optionally, the kinds of goods are stored in shelf, and the shelf have multiple storage regions, different types of kinds of goods It is stored in different storage regions respectively.
Correspondingly, the application also provides a kind of kinds of goods monitoring method, comprising:
The image information of acquisition display kinds of goods state;
Feature extraction is carried out for described image information, obtains the characteristic information for indicating kinds of goods freshness;
According to described for indicating the characteristic information of kinds of goods freshness, the first freshness data are obtained.
Optionally, the image information of the acquisition display kinds of goods state, specifically includes: acquisition display kinds of goods current state The image information before of state before present image information and display kinds of goods;
It is described to carry out feature extraction for described image information, the characteristic information for indicating kinds of goods freshness is obtained, is had Body includes: to carry out feature extraction for the present image information, obtains the characteristic information for indicating the current freshness of kinds of goods, Feature extraction is carried out for image information before described, obtains the characteristic information for indicating freshness before kinds of goods;
The characteristic information for being used to indicate kinds of goods freshness according to, obtains the first fresh degree of the kinds of goods According to specifically including: according to the characteristic information for indicating the current freshness of kinds of goods and described for new before indicating kinds of goods The characteristic information of freshness obtains the first freshness data.
Optionally, it is described according to for indicating the characteristic information of the current freshness of kinds of goods and described for indicating kinds of goods The characteristic information of freshness before obtains the first freshness data of the kinds of goods, specifically includes: calculating described for indicating goods The characteristic information of the current freshness of product and the diversity factor for indicating before kinds of goods between the characteristic information of freshness, determine Diversity factor range belonging to the diversity factor, according to pair between the diversity factor range being obtained ahead of time and the freshness data of kinds of goods It should be related to, obtain the first freshness data.
Optionally, the characteristic information for indicating kinds of goods freshness is the characteristic value for indicating kinds of goods freshness;
The characteristic information for being used to indicate kinds of goods freshness according to, obtains the first fresh degree of the kinds of goods According to specifically including:
It determines described for indicating range of characteristic values belonging to the characteristic value of kinds of goods freshness;
According to the corresponding relationship between the freshness data of the range of characteristic values and kinds of goods that are obtained ahead of time, described first is obtained Freshness data.
Optionally, described for indicating that the characteristic information of kinds of goods freshness includes the shape of the colouring information of kinds of goods, kinds of goods At least one of the frequent activity degree of information, kinds of goods itself information.
Optionally, the image information of the acquisition display kinds of goods state, specifically includes: acquisition display kinds of goods state change Continuous multiple images information;
It is described to carry out feature extraction for described image information, obtain the characteristic information for indicating kinds of goods freshness;Tool Body includes: to carry out feature extraction for the continuous multiple images information, obtains kinds of goods in the continuous multiple images information Motion vector information and residual error data information;
The characteristic information for being used to indicate kinds of goods freshness according to, obtains the first fresh degree of the kinds of goods According to specifically including: according to the frequent activity degree of kinds of goods itself described in the motion vector information and residual error data information acquisition, root According to the corresponding relationship between the frequent activity degree of the kinds of goods being obtained ahead of time itself and the freshness data of kinds of goods, described first is obtained Freshness data.
Optionally, the kinds of goods monitoring method, further includes:
The odiferous information for acquiring kinds of goods obtains the second freshness data according to the odiferous information of the kinds of goods;
According to the first freshness data and the second freshness data of acquisition, the third freshness is determined Data.
Optionally, the first freshness data of the kinds of goods according to acquisition and the second freshness of the kinds of goods Data determine the third freshness data, specifically include: by the first freshness data and the second fresh degree According to average computation is carried out, the average freshness data of the kinds of goods are obtained, the average freshness data of the kinds of goods are determined as The third freshness data.
Optionally, the first freshness data and the second freshness data according to acquisition, determine institute Third freshness data are stated, are specifically included: by the first freshness data of the acquisition and the second fresh degree It is determined as the third freshness data according to the low freshness data of middle numerical value.
Optionally, according to the first freshness data of acquisition and the second freshness data, described is determined Three freshness data, specifically include:
Calculate the similarity between the first freshness data and the second freshness data;
If the similarity meets or exceeds similarity threshold, the first freshness data and institute are randomly choosed Actual fresh degree evidence of the freshness data in the second freshness data as kinds of goods is stated, alternatively, new by described first Freshness data and the second freshness data carry out average computation, the average freshness data of kinds of goods are obtained, by the goods The average freshness data of product are determined as the third freshness data;
If the similarity is lower than the similarity threshold, newly by the first freshness data and described second The low freshness data of numerical value are determined as the third freshness data in freshness data.
Optionally, the kinds of goods monitoring method, further includes:
Judge whether the inventory status of the kinds of goods is effective according to the first freshness data, if it is valid, by institute It states kinds of goods and is determined as inventory good, otherwise, the kinds of goods are determined as noninventory kinds of goods.
Optionally, described to judge whether the inventory status of the kinds of goods has according to the first freshness data of the kinds of goods Effect, specifically includes: according to corresponding between the freshness data for the kinds of goods being obtained ahead of time and the inventory status of the kinds of goods Relationship judges whether the inventory status of the kinds of goods is effective.
Optionally, the kinds of goods monitoring method, further includes:
The first freshness data and the standard freshness data of the kinds of goods are compared and analyzed, difference letter is obtained Breath, if the different information meets or exceeds preset different information threshold value, the letter of the kinds of goods is sent to monitor terminal Breath.
Optionally, the image information of the acquisition display kinds of goods state, specifically includes: the position being stored for kinds of goods, The image information of kinds of goods state is shown from multiple angle acquisitions.
Optionally, the multiple angle includes top, front, rear portion, left side, right side, the bottom for the position that kinds of goods are stored At least two angles in portion.
Optionally, the kinds of goods are stored in shelf, and the shelf have multiple storage regions, different types of kinds of goods It is stored in different storage regions respectively.
Correspondingly, the application also provides a kind of kinds of goods monitoring device, comprising:
Elementary area is acquired, for acquiring the image information of display kinds of goods state;
First obtains unit is obtained for carrying out feature extraction for described image information for indicating kinds of goods freshness Characteristic information;
Second obtaining unit, for, for indicating the characteristic information of kinds of goods freshness, it is new to obtain described first according to described Freshness data.
Optionally, it is described acquisition elementary area be specifically used for: acquisition display kinds of goods current state present image information with And show the image information before of state before kinds of goods;
The first obtains unit is specifically used for: carrying out feature extraction for the present image information, obtains and be used for table The characteristic information for showing the current freshness of kinds of goods carries out feature extraction for the image information before, obtains for indicating kinds of goods The characteristic information of freshness before;
Second obtaining unit is specifically used for: according to described for indicating characteristic information and the institute of the current freshness of kinds of goods The characteristic information for indicating freshness before kinds of goods is stated, the first freshness data are obtained.
Optionally, second obtaining unit is specifically used for:
Calculate the characteristic information for indicating the current freshness of kinds of goods and described for indicating freshness before kinds of goods Characteristic information between diversity factor, diversity factor range belonging to the diversity factor is determined, according to the diversity factor model being obtained ahead of time The corresponding relationship between the freshness data of kinds of goods is enclosed, the first freshness data are obtained.
Optionally, the characteristic information for indicating kinds of goods freshness is the characteristic value for indicating kinds of goods freshness;
Second obtaining unit is specifically used for: determining described for indicating feature belonging to the characteristic value of kinds of goods freshness It is worth range, according to the corresponding relationship between the freshness data of the range of characteristic values and kinds of goods that are obtained ahead of time, obtains described first Freshness data.
Optionally, described for indicating that the characteristic information of kinds of goods freshness includes the shape of the colouring information of kinds of goods, kinds of goods At least one of the frequent activity degree of information, kinds of goods itself information.
Optionally, the acquisition elementary area is specifically used for: the continuous multiple images letter of acquisition display kinds of goods state change Breath;
The first obtains unit is specifically used for: carrying out feature extraction for the continuous multiple images information, obtains goods Motion vector information and residual error data information of the product in the continuous multiple images information;
Second obtaining unit is specifically used for: according to goods described in the motion vector information and residual error data information acquisition The frequent activity degree of product itself, according between the frequent activity degree of the kinds of goods being obtained ahead of time itself and the freshness data of kinds of goods Corresponding relationship obtains the first freshness data.
Optionally, the kinds of goods monitoring device, further includes:
Fragrance unit is acquired, for acquiring the odiferous information of kinds of goods, according to the odiferous information of the kinds of goods, obtains described the Two freshness data;
Determination unit is determined for the first freshness data and the second freshness data according to acquisition The third freshness data.
Optionally, the determination unit is specifically used for, by the first freshness data and the second fresh degree According to average computation is carried out, the average freshness data of the kinds of goods are obtained, the average freshness data of the kinds of goods are determined as The third freshness data.
Optionally, the determination unit is specifically used for, by the first freshness data of the acquisition and described The low freshness data of numerical value are determined as the third freshness data in two freshness data.
Optionally, the determination unit is specifically used for, and calculates the first freshness data and second freshness Similarity between data;
If the similarity meets or exceeds similarity threshold, the first freshness data and institute are randomly choosed Actual fresh degree evidence of the freshness data in the second freshness data as kinds of goods is stated, alternatively, new by described first Freshness data and the second freshness data carry out average computation, the average freshness data of kinds of goods are obtained, by the goods The average freshness data of product are determined as the third freshness data;
If the similarity is lower than the similarity threshold, newly by the first freshness data and described second The low freshness data of numerical value are determined as the third freshness data in freshness data.
Optionally, the kinds of goods monitoring device, further includes:
Inventory member is bought, for judging whether the inventory status of the kinds of goods is effective according to the first freshness data, such as Fruit is effective, then the kinds of goods is determined as inventory good, otherwise, the kinds of goods is determined as noninventory kinds of goods.
Optionally, the inventory member of buying is specifically used for, according to the freshness data for the kinds of goods being obtained ahead of time with it is described Corresponding relationship between the inventory status of kinds of goods judges whether the inventory status of the kinds of goods is effective.
Optionally, the kinds of goods monitoring device, further includes:
Analytical unit, for comparing the standard freshness data of the first freshness data and the kinds of goods point Analysis obtains different information, if the different information meets or exceeds preset different information threshold value, sends to monitor terminal The information of the kinds of goods.
Optionally, the acquisition elementary area is specifically used for, aobvious from multiple angle acquisitions for the position that kinds of goods are stored Show the image information of kinds of goods state change situation.
Optionally, the multiple angle includes top, front, rear portion, left side, right side, the bottom for the position that kinds of goods are stored At least two angles in portion.
Optionally, the kinds of goods are stored in shelf, and the shelf have multiple storage regions, different types of kinds of goods It is stored in different storage regions respectively.
Correspondingly, the application also provides a kind of electronic equipment, comprising:
Processor;And
Memory, for storing the program of kinds of goods monitoring method, which, which is powered and passes through the processor, runs the goods After the program of articles monitoring method, following step is executed:
The image information of acquisition display kinds of goods state;
Feature extraction is carried out for described image information, obtains the characteristic information for indicating kinds of goods freshness;
According to described for indicating the characteristic information of kinds of goods freshness, the first freshness data of the kinds of goods are obtained.
Correspondingly, the application also provides a kind of storage equipment, it is stored with the program of kinds of goods monitoring method, the program is processed Device operation, executes following step:
The image information of acquisition display kinds of goods state;
Feature extraction is carried out for described image information, obtains the characteristic information for indicating kinds of goods freshness;
According to described for indicating the characteristic information of kinds of goods freshness, the first freshness data of the kinds of goods are obtained.
Compared with prior art, the application has the following advantages:
Using kinds of goods monitoring system provided by the present application, the feature of comparison inventory good freshness variation front and back can be passed through Information is recognized accurately inventory good freshness situation of change, improves the management for inventory good freshness situation of change The accuracy of efficiency and monitoring.
Detailed description of the invention
Fig. 1 is a kind of schematic diagram of kinds of goods monitoring system provided by the embodiments of the present application;
Fig. 2 is a kind of flow chart of kinds of goods monitoring method provided by the embodiments of the present application;
Fig. 3 is a kind of schematic diagram of kinds of goods monitoring device provided by the embodiments of the present application;
Fig. 4 is a kind of electronic equipment schematic diagram of kinds of goods monitoring provided by the embodiments of the present application;
Fig. 5 is a kind of entire run flow chart for kinds of goods monitoring system that the application preferred embodiment provides.
Specific embodiment
Many details are explained in the following description in order to fully understand the application.But the application can be with Much it is different from other way described herein to implement, those skilled in the art can be without prejudice to the application intension the case where Under do similar popularization, therefore, the application is not limited by following public specific implementation.
Below based on the kinds of goods monitoring system of the application, embodiment is described in detail.In addition, in following description In, the information gathering subsystem of this system will be directed to respectively and image recognition subsystem is described in detail.Please refer to Fig. 1 institute Show, is respectively a kind of schematic diagram of kinds of goods monitoring system provided by the embodiments of the present application.
The embodiment of the present application provides a kind of kinds of goods condition monitoring system, using this monitoring system, kitchen after can helping Personnel quickly and easily obtain the freshness situation of inventory good, and have the good technical characteristics such as manageability, high reliability.
Kinds of goods condition monitoring system provided by the embodiments of the present application specifically includes following part:
Information gathering subsystem 101, for acquiring the image information of display kinds of goods state.
In the embodiment of the present application, the image information of the display kinds of goods state of the acquisition includes that acquisition display kinds of goods are worked as The continuous multiple images information of state, new by obtaining kinds of goods before the continuous multiple images information and display kinds of goods of preceding state Image information before and after fresh target change, which compares and analyzes, can obtain the specific freshness data of inventory good.It needs to illustrate It is that the image information includes picture image information and video image information, the kinds of goods freshness situation of change includes Color change situation, shape or volume change situation or the situation of change of frequent activity degree etc..Such as by before to acquisition Multiple images information is analyzed afterwards, and obtaining color reduction, shape or volume-diminished or movable frequency reduces, then it represents that The freshness of inventory good is reducing.
Specifically, the information gathering subsystem can be carried out by the camera for the multiple angles being arranged in standard pallet Image information collecting, the multiple angle include the top of the position that inventory good is stored, front, rear portion, left side, right side, At least two angles in bottom can obtain more accurate freshness by the acquisition image information of multi-angle and monitor number According to.Therefore, in the embodiment of the present application to realize that the inventories for all kinds of kinds of goods are accurately monitored, it is necessary first to build The shelf of vertical storage kinds of goods, the shelf are standard pallet, and all kinds of kinds of goods to be monitored are deposited in standard pallet respectively, should Standard pallet can difference according to type be divided into multiple memory spaces, the kinds of goods of corresponding type are deposited in respectively and are deposited accordingly It stores up in space.Information gathering subsystem shoots the kinds of goods being stored in memory space by camera, from multiple angle acquisitions Show the image information of kinds of goods freshness situation of change.It should be noted that standard pallet described in the present embodiment is transparent material Matter, entire standard pallet can be divided into multiple memory spaces, and memory space is changeable, and each memory space has the vertical of unification Graduation mark, for storing different types of kinds of goods.For example, frequent activity degree is monitored freshness information as major weight Live fish, all kinds of aquatic products such as shrimp and crab living are stored in No.1 memory space;Come color change situation as major weight The fresh vegetables etc. of monitoring freshness situation is placed on No. two memory spaces.
Image recognition subsystem 102 is obtained for carrying out feature extraction for described image information for indicating that kinds of goods are new The characteristic information of freshness obtains the first freshness of the kinds of goods according to described for indicating the characteristic information of kinds of goods freshness Data.
In the embodiment of the present application, the image recognition subsystem is specifically used for for information gathering subsystem acquisition Present image information carries out feature extraction, obtains the characteristic information for indicating the current freshness of kinds of goods, believes for image before Breath carries out feature extraction, obtains the characteristic information for indicating freshness before kinds of goods, by analyzing for indicating that kinds of goods are current The characteristic information of freshness and for indicating the freshness different information before kinds of goods between the characteristic information of freshness obtains the One freshness data.Features described above information mainly includes color change situation, shape or volume change situation or frequent activity The situation of change etc. of degree.The first freshness data be based on above-mentioned color change situation, shape or volume change situation or The freshness data for the inventory good that the characteristic informations such as the situation of change of person's frequent activity degree obtain.
It should be noted that described for indicating that the characteristic information of kinds of goods freshness can use the spy for indicating kinds of goods freshness Value indicative indicates.By analyzing characteristic information for indicating the current freshness of kinds of goods and for indicating freshness before kinds of goods Diversity factor between characteristic information determines diversity factor range belonging to diversity factor, according to diversity factor belonging to determining diversity factor Range obtains the first fresh degree in the corresponding relationship between the diversity factor range being obtained ahead of time and the freshness data of kinds of goods According to.Characteristic value for indicating the current freshness of kinds of goods is namely calculated by algorithm and for indicating freshness before kinds of goods Difference value between characteristic value is determined for indicating range of characteristic values belonging to the characteristic value of kinds of goods freshness, is used according to determining The range of characteristic values belonging to the characteristic value for indicating kinds of goods freshness, from the freshness of the range of characteristic values and kinds of goods that are obtained ahead of time The first freshness data are obtained in corresponding relationship between data.It is by color change situation of the characteristic information of inventory good Example, for indicating that the color feature value of the current freshness of kinds of goods is H, the color feature value for freshness before indicating kinds of goods is F compares and analyzes H and F using image recognition technology+algorithm, difference value H-F, according to the characteristic value being obtained ahead of time The freshness data (such as: the freshness data indicate " very fresh ", " than comparatively fresh " or " in need of immediate treatment ") of range and kinds of goods it Between corresponding relationship, obtain kinds of goods freshness data be " in need of immediate treatment ", then the first freshness data be " in need of immediate treatment ", lead to Know that rear kitchen administrative staff kinds of goods have reached freshness critical value, should as early as possible cook kinds of goods.
Frequent activity degree is monitored to the freshness of live fish, all kinds of aquatic products such as shrimp and crab living as major weight When, feature extraction is carried out for continuous multiple images information first with image recognition technology+algorithm, obtains aquatic products continuous Motion vector information and residual error data information in multiple images information, according to motion vector information and residual error data information acquisition The frequent activity degree of kinds of goods itself, according to the freshness data of the frequent activity degree of the kinds of goods being obtained ahead of time itself and kinds of goods (such as: The freshness data indicate " very fresh ", " than comparatively fresh " or " in need of immediate treatment ") between corresponding relationship, obtain the freshness of kinds of goods Data are " very fresh ", then the first freshness data are " very fresh ".It should be noted that movement described in the embodiment of the present application When Vector Message is that aquatic products move in memory space, according to the opposite activity bit in memory space of certain criterion acquisition Move information.The residual error data information is the difference between the freshness information and preset freshness information of actual measurement Different information.
In addition, kinds of goods condition monitoring system described in the embodiment of the present application can also include odiferous information processing subsystem and Freshness data process subsystem.Odiferous information processing subsystem is used to acquire the odor characteristics information of kinds of goods, according to kinds of goods Odor characteristics information, obtain the second freshness data, the second freshness data be obtained based on odor characteristics information it is new Freshness data;Freshness data process subsystem is used for according to the first freshness data and the second fresh degree According to determining the third freshness data of kinds of goods.The third freshness data are based on odor characteristics information, color change feelings The fresh degree for the inventory good that the situation of change characteristic information of condition, shape or volume change situation or frequent activity degree obtains According to.Specifically, average computation is carried out to the first freshness data and the second freshness data using average algorithm, The average freshness data of the kinds of goods of acquisition are determined as third freshness data by the average freshness data for obtaining kinds of goods.Or It is new to be determined as third by person for the low freshness data of numerical value in the first freshness data and the second freshness data Freshness data.Alternatively, being calculated between the first freshness data and the second freshness data using similarity algorithm Similarity randomly choose the first freshness data or described if similarity meets or exceeds similarity threshold Two freshness data are as the third freshness data.
Kinds of goods condition monitoring system described in the embodiment of the present application further includes kinds of goods condition managing subsystem, please refers to Fig. 5 It is shown, for a kind of entire run flow chart for kinds of goods monitoring system that the application preferred embodiment provides.Pass through image first Recognition subsystem is for top, the front, rear portion, left side, right side, bottom before and after the inventory change of information gathering subsystem acquisition The image information of 6 angle shots compares and analyzes, and extracts the characteristic information of image information, according to freshness information acquisition The freshness data of inventory good.The kinds of goods condition managing subsystem is specifically used for the freshness for obtaining image recognition subsystem Data and the standard freshness data of preset kinds of goods compare and analyze, and freshness different information are obtained, if described Different information meets or exceeds preset different information threshold value, then the freshness information of kinds of goods is sent to monitor terminal, after notice Kitchen personnel are handled in time.The embodiment of the present application is preferably applied in the rear kitchen management system of catering industry, monitors kitchen of restaurant inventory The freshness situation of change of kinds of goods: kinds of goods such as to be monitored are live fish, at regular intervals (such as: 1 hour or 2 hours Deng), top, front, rear portion, left side, right side, at least two in the angle of bottom 6 are collected from the storage area of storage live fish One group image information of a angle shot, the image information obtained by comparative analysis different time points obtain live fish and are storing The frequent activity degree of different time points in region obtains the freshness information of live fish according to the frequent activity degree of different time points. For example, being denoted as a group in 1 point of one group image information of shooting, it is denoted as b group in 2 points of one group image informations of shooting, shoots one group at 3 points Image information is denoted as c group.According to a group image information, using image recognition technology+algorithm, analysis obtains frequent activity at 1 Spend A;According to b group image information, using image recognition technology+algorithm, analysis obtains frequent activity degree B at 2;According to c group Image information, using image recognition technology+algorithm, analysis obtains frequent activity degree C at 3, obtain B-A be 1 point to 2 points it Between live fish freshness delta data, C-B be 3 points to 2 points between live fish freshness delta data, C-A be 1 point to 3 points it Between live fish freshness delta data.
It includes: information gathering subsystem, image recognition subsystem, odiferous information that the application, which discloses a kind of kinds of goods monitoring system, Processing subsystem and freshness data process subsystem.Using kinds of goods monitoring system provided by the present application, comparison database can be passed through The characteristic information of stock product freshness variation front and back different angle image information, is recognized accurately kinds of goods freshness situation of change, To realize the effective monitoring for kinds of goods freshness.
Corresponding with a kind of kinds of goods monitoring system of above-mentioned offer, the application also provides a kind of kinds of goods monitoring method.Due to This method embodiment is similar to the above system embodiment, so being described relatively simple, related place refers to system embodiment Part illustrates that methods described below embodiment is only illustrative.It please refers to shown in Fig. 2, is mentioned for the embodiment of the present application A kind of flow chart of the kinds of goods monitoring method supplied.
Kinds of goods monitoring method described in the embodiment of the present application includes the following steps:
Step S201: the image information of acquisition display kinds of goods state.
The image information of the acquisition display kinds of goods state specifically includes: the present image of acquisition display kinds of goods current state The image information before of state before information and display kinds of goods.
Step S202: carrying out feature extraction for described image information, obtains the feature for indicating kinds of goods freshness and believes Breath.
It is described to carry out feature extraction for described image information, the characteristic information for indicating kinds of goods freshness is obtained, is had Body includes: to carry out feature extraction for the present image information, obtains the characteristic information for indicating the current freshness of kinds of goods, Feature extraction is carried out for image information before described, obtains the characteristic information for indicating freshness before kinds of goods.
Step S203: according to described for indicating the characteristic information of kinds of goods freshness, the first freshness data are obtained.
The characteristic information for being used to indicate kinds of goods freshness according to, obtains the first fresh degree of the kinds of goods According to specifically including: according to the characteristic information for indicating the current freshness of kinds of goods and described for new before indicating kinds of goods The characteristic information of freshness obtains the first freshness data.
Optionally, it is described according to for indicating the characteristic information of the current freshness of kinds of goods and described for indicating kinds of goods The characteristic information of freshness before obtains the first freshness data of the kinds of goods, specifically includes: calculating described for indicating goods The characteristic information of the current freshness of product and the diversity factor for indicating before kinds of goods between the characteristic information of freshness, determine Diversity factor range belonging to the diversity factor, according to pair between the diversity factor range being obtained ahead of time and the freshness data of kinds of goods It should be related to, obtain the first freshness data.
Optionally, the characteristic information for indicating kinds of goods freshness is the characteristic value for indicating kinds of goods freshness;
The characteristic information for being used to indicate kinds of goods freshness according to, obtains the first fresh degree of the kinds of goods According to specifically including:
It determines described for indicating range of characteristic values belonging to the characteristic value of kinds of goods freshness;
According to the corresponding relationship between the freshness data of the range of characteristic values and kinds of goods that are obtained ahead of time, described first is obtained Freshness data.
Optionally, described for indicating that the characteristic information of kinds of goods freshness includes the shape of the colouring information of kinds of goods, kinds of goods At least one of the frequent activity degree of information, kinds of goods itself information.
Optionally, the image information of the acquisition display kinds of goods state, specifically includes: acquisition display kinds of goods state change Continuous multiple images information;
It is described to carry out feature extraction for described image information, obtain the characteristic information for indicating kinds of goods freshness;Tool Body includes: to carry out feature extraction for the continuous multiple images information, obtains kinds of goods in the continuous multiple images information Motion vector information and residual error data information;
The characteristic information for being used to indicate kinds of goods freshness according to, obtains the first fresh degree of the kinds of goods According to specifically including: according to the frequent activity degree of kinds of goods itself described in the motion vector information and residual error data information acquisition, root According to the corresponding relationship between the frequent activity degree of the kinds of goods being obtained ahead of time itself and the freshness data of kinds of goods, described first is obtained Freshness data.
Optionally, the kinds of goods monitoring method, further includes:
The odiferous information for acquiring kinds of goods obtains the second freshness data according to the odiferous information of the kinds of goods;
According to the first freshness data and the second freshness data of acquisition, the third freshness is determined Data.
Optionally, the first freshness data of the kinds of goods according to acquisition and the second freshness of the kinds of goods Data determine the third freshness data, specifically include: by the first freshness data and the second fresh degree According to average computation is carried out, the average freshness data of the kinds of goods are obtained, the average freshness data of the kinds of goods are determined as The third freshness data.
Optionally, the first freshness data and the second freshness data according to acquisition, determine institute Third freshness data are stated, are specifically included: by the first freshness data of the acquisition and the second fresh degree It is determined as the third freshness data according to the low freshness data of middle numerical value.
Optionally, according to the first freshness data of acquisition and the second freshness data, described is determined Three freshness data, specifically include:
Calculate the similarity between the first freshness data and the second freshness data;
If the similarity meets or exceeds similarity threshold, the first freshness data and institute are randomly choosed Actual fresh degree evidence of the freshness data in the second freshness data as kinds of goods is stated, alternatively, new by described first Freshness data and the second freshness data carry out average computation, the average freshness data of kinds of goods are obtained, by the goods The average freshness data of product are determined as the third freshness data;
If the similarity is lower than the similarity threshold, newly by the first freshness data and described second The low freshness data of numerical value are determined as the third freshness data in freshness data.
Optionally, the kinds of goods monitoring method, further includes:
Judge whether the inventory status of the kinds of goods is effective according to the first freshness data, if it is valid, by institute It states kinds of goods and is determined as inventory good, otherwise, the kinds of goods are determined as noninventory kinds of goods.
Optionally, described to judge whether the inventory status of the kinds of goods has according to the first freshness data of the kinds of goods Effect, specifically includes: according to corresponding between the freshness data for the kinds of goods being obtained ahead of time and the inventory status of the kinds of goods Relationship judges whether the inventory status of the kinds of goods is effective.
Optionally, the kinds of goods monitoring method, further includes:
The first freshness data and the standard freshness data of the kinds of goods are compared and analyzed, difference letter is obtained Breath, if the different information meets or exceeds preset different information threshold value, the letter of the kinds of goods is sent to monitor terminal Breath.
Optionally, the image information of the acquisition display kinds of goods state, specifically includes: the position being stored for kinds of goods, The image information of kinds of goods state is shown from multiple angle acquisitions.
Optionally, the multiple angle includes top, front, rear portion, left side, right side, the bottom for the position that kinds of goods are stored At least two angles in portion.
Optionally, the kinds of goods are stored in shelf, and the shelf have multiple storage regions, different types of kinds of goods It is stored in different storage regions respectively.
Corresponding with above-mentioned kinds of goods monitoring method, the application also provides a kind of kinds of goods monitoring device, above-mentioned kinds of goods monitoring Method can be applied to the device.Since present apparatus embodiment is similar to method and system embodiment, so the comparison of description is simple Single, related place refers to method and system embodiment part explanation, and Installation practice is described below and is only illustrative. Fig. 3 is referred to, is a kind of schematic diagram of kinds of goods monitoring device provided by the embodiments of the present application.
Kinds of goods monitoring device described in the embodiment of the present application includes following part:
Elementary area 301 is acquired, for acquiring the image information of display kinds of goods state.
The acquisition elementary area is specifically used for: the present image information and display goods of acquisition display kinds of goods current state The image information before of state before product.
First obtains unit 302 is obtained for carrying out feature extraction for described image information for indicating that kinds of goods are fresh The characteristic information of degree.
The first obtains unit is specifically used for: carrying out feature extraction for the present image information, obtains and be used for table The characteristic information for showing the current freshness of kinds of goods carries out feature extraction for the image information before, obtains for indicating kinds of goods The characteristic information of freshness before.
Second obtaining unit 303, for, for indicating the characteristic information of kinds of goods freshness, obtaining described first according to described Freshness data.
Second obtaining unit is specifically used for: according to described for indicating characteristic information and the institute of the current freshness of kinds of goods The characteristic information for indicating freshness before kinds of goods is stated, the first freshness data are obtained.
Optionally, second obtaining unit is specifically used for:
Calculate the characteristic information for indicating the current freshness of kinds of goods and described for indicating freshness before kinds of goods Characteristic information between diversity factor, diversity factor range belonging to the diversity factor is determined, according to the diversity factor model being obtained ahead of time The corresponding relationship between the freshness data of kinds of goods is enclosed, the first freshness data are obtained.
Optionally, the characteristic information for indicating kinds of goods freshness is the characteristic value for indicating kinds of goods freshness;
Second obtaining unit is specifically used for: determining described for indicating feature belonging to the characteristic value of kinds of goods freshness It is worth range, according to the corresponding relationship between the freshness data of the range of characteristic values and kinds of goods that are obtained ahead of time, obtains described first Freshness data.
Optionally, described for indicating that the characteristic information of kinds of goods freshness includes the shape of the colouring information of kinds of goods, kinds of goods At least one of the frequent activity degree of information, kinds of goods itself information.
Optionally, the acquisition elementary area is specifically used for: the continuous multiple images letter of acquisition display kinds of goods state change Breath;
The first obtains unit is specifically used for: carrying out feature extraction for the continuous multiple images information, obtains goods Motion vector information and residual error data information of the product in the continuous multiple images information;
Second obtaining unit is specifically used for: according to goods described in the motion vector information and residual error data information acquisition The frequent activity degree of product itself, according between the frequent activity degree of the kinds of goods being obtained ahead of time itself and the freshness data of kinds of goods Corresponding relationship obtains the first freshness data.
Optionally, the kinds of goods monitoring device, further includes:
Fragrance unit is acquired, for acquiring the odiferous information of kinds of goods, according to the odiferous information of the kinds of goods, obtains described the Two freshness data;
Determination unit is determined for the first freshness data and the second freshness data according to acquisition The third freshness data.
Optionally, the determination unit is specifically used for, by the first freshness data and the second fresh degree According to average computation is carried out, the average freshness data of the kinds of goods are obtained, the average freshness data of the kinds of goods are determined as The third freshness data.
Optionally, the determination unit is specifically used for, by the first freshness data of the acquisition and described The low freshness data of numerical value are determined as the third freshness data in two freshness data.
Optionally, the determination unit is specifically used for, and calculates the first freshness data and second freshness Similarity between data;
If the similarity meets or exceeds similarity threshold, the first freshness data and institute are randomly choosed Actual fresh degree evidence of the freshness data in the second freshness data as kinds of goods is stated, alternatively, new by described first Freshness data and the second freshness data carry out average computation, the average freshness data of kinds of goods are obtained, by the goods The average freshness data of product are determined as the third freshness data;
If the similarity is lower than the similarity threshold, newly by the first freshness data and described second The low freshness data of numerical value are determined as the third freshness data in freshness data.
Optionally, the kinds of goods monitoring device, further includes:
Inventory member is bought, for judging whether the inventory status of the kinds of goods is effective according to the first freshness data, such as Fruit is effective, then the kinds of goods is determined as inventory good, otherwise, the kinds of goods is determined as noninventory kinds of goods.
Optionally, the inventory member of buying is specifically used for, according to the freshness data for the kinds of goods being obtained ahead of time with it is described Corresponding relationship between the inventory status of kinds of goods judges whether the inventory status of the kinds of goods is effective.
Optionally, the kinds of goods monitoring device, further includes:
Analytical unit, for comparing the standard freshness data of the first freshness data and the kinds of goods point Analysis obtains different information, if the different information meets or exceeds preset different information threshold value, sends to monitor terminal The information of the kinds of goods.
Optionally, the acquisition elementary area is specifically used for, aobvious from multiple angle acquisitions for the position that kinds of goods are stored Show the image information of kinds of goods state change situation.
Optionally, the multiple angle includes top, front, rear portion, left side, right side, the bottom for the position that kinds of goods are stored At least two angles in portion.
Optionally, the kinds of goods are stored in shelf, and the shelf have multiple storage regions, different types of kinds of goods It is stored in different storage regions respectively.
Correspondingly, the application also provides a kind of electronic equipment, comprising:
Processor;And
Memory, for storing the program of kinds of goods monitoring method, which, which is powered and passes through the processor, runs the goods After the program of articles monitoring method, following step is executed:
The image information of acquisition display kinds of goods state;
Feature extraction is carried out for described image information, obtains the characteristic information for indicating kinds of goods freshness;
According to described for indicating the characteristic information of kinds of goods freshness, the first freshness data of the kinds of goods are obtained.
Correspondingly, the application also provides a kind of storage equipment, it is stored with the program of kinds of goods monitoring method, the program is processed Device operation, executes following step:
The image information of acquisition display kinds of goods state;
Feature extraction is carried out for described image information, obtains the characteristic information for indicating kinds of goods freshness;
According to described for indicating the characteristic information of kinds of goods freshness, the first freshness data of the kinds of goods are obtained.
Corresponding with a kind of kinds of goods monitoring method of above-mentioned offer, the embodiment of the present application also provides a kind of monitoring of kinds of goods Electronic equipment refers to Fig. 4, for a kind of electronic equipment schematic diagram of kinds of goods monitoring provided by the embodiments of the present application.
The electronic equipment of the monitoring of kinds of goods described in the embodiment of the present application includes following part:
Processor 401;And
Memory 402, for storing the program of kinds of goods monitoring method, which is powered and passes through the processor operation should After the program of kinds of goods monitoring method, following step is executed:
The image information of acquisition display kinds of goods state;
Feature extraction is carried out for described image information, obtains the characteristic information for indicating kinds of goods freshness;
According to described for indicating the characteristic information of kinds of goods freshness, the first freshness data of the kinds of goods are obtained.
It should be noted that for a kind of detailed description of the electronic equipment of kinds of goods monitoring provided by the embodiments of the present application, Can be with a kind of reference pair associated description of method for monitoring state provided by the embodiments of the present application, which is not described herein again.
Corresponding with a kind of kinds of goods monitoring method of above-mentioned offer, the embodiment of the present application also provides a kind of storage equipment. The storage equipment of the monitoring of kinds of goods described in the embodiment of the present application includes following part: it is stored with the program of kinds of goods monitoring method, it should Program is run by processor, executes following step:
The image information of acquisition display kinds of goods state;
Feature extraction is carried out for described image information, obtains the characteristic information for indicating kinds of goods freshness;
According to described for indicating the characteristic information of kinds of goods freshness, the first freshness data of the kinds of goods are obtained.
It should be noted that for a kind of detailed description of the storage equipment of kinds of goods monitoring provided by the embodiments of the present application, Can be with a kind of reference pair associated description of kinds of goods monitoring method provided by the embodiments of the present application, which is not described herein again.
Although the application is disclosed as above with preferred embodiment, it is not for limiting the application, any this field skill Art personnel are not departing from spirit and scope, can make possible variation and modification, therefore the guarantor of the application Shield range should be subject to the range that the claim of this application defined.

Claims (10)

1. a kind of kinds of goods monitoring system, which is characterized in that including information gathering subsystem and image recognition subsystem;
The information gathering subsystem, for acquiring the image information of display kinds of goods state;
Described image recognition subsystem is obtained for carrying out feature extraction for described image information for indicating that kinds of goods are fresh The characteristic information of degree obtains the first fresh degree of the kinds of goods according to described for indicating the characteristic information of kinds of goods freshness According to.
2. kinds of goods monitoring system according to claim 1, which is characterized in that the information gathering subsystem is specifically used for, The image information before of state before the present image information and display kinds of goods of acquisition display kinds of goods current state;
Described image recognition subsystem is specifically used for, and carries out feature extraction for the present image information, obtains for indicating The characteristic information of the current freshness of kinds of goods carries out feature extraction for image information before described, obtain for indicate kinds of goods it The characteristic information of preceding freshness, according to the characteristic information for indicating the current freshness of kinds of goods and described for indicating kinds of goods The characteristic information of freshness before obtains the first freshness data.
3. kinds of goods monitoring system according to claim 2, which is characterized in that described image recognition subsystem is specifically used for, It calculates the characteristic information for indicating the current freshness of kinds of goods and the feature for freshness before indicating kinds of goods is believed Diversity factor between breath determines diversity factor range belonging to the diversity factor, according to the diversity factor range and kinds of goods being obtained ahead of time Freshness data between corresponding relationship, obtain the first freshness data.
4. kinds of goods monitoring system according to claim 1, which is characterized in that described for indicating the feature of kinds of goods freshness Information is the characteristic value for indicating kinds of goods freshness;
Described image recognition subsystem is specifically used for, and determines described for indicating characteristic value belonging to the characteristic value of kinds of goods freshness It is new to obtain described first according to the corresponding relationship between the freshness data of the range of characteristic values and kinds of goods that are obtained ahead of time for range Freshness data.
5. kinds of goods monitoring system according to claim 1 or 4, which is characterized in that described for indicating kinds of goods freshness Characteristic information includes at least one of frequent activity degree of the colouring information of kinds of goods, the shape information of kinds of goods, kinds of goods itself letter Breath.
6. kinds of goods monitoring system according to claim 5, which is characterized in that the information gathering subsystem is specifically used for, The continuous multiple images information of acquisition display kinds of goods state change;
Described image recognition subsystem is specifically used for, and carries out feature extraction for the continuous multiple images information, obtains kinds of goods Motion vector information and residual error data information in the continuous multiple images information, according to the motion vector information and residual The frequent activity degree of kinds of goods described in difference data information acquisition itself, according to the frequent activity degree and goods of the kinds of goods being obtained ahead of time itself Corresponding relationship between the freshness data of product obtains the first freshness data.
7. a kind of kinds of goods monitoring method characterized by comprising
The image information of acquisition display kinds of goods state;
Feature extraction is carried out for described image information, obtains the characteristic information for indicating kinds of goods freshness;
According to described for indicating the characteristic information of kinds of goods freshness, the first freshness data are obtained.
8. a kind of kinds of goods monitoring device characterized by comprising
Elementary area is acquired, for acquiring the image information of display kinds of goods state;
First obtains unit obtains the spy for indicating kinds of goods freshness for carrying out feature extraction for described image information Reference breath;
Second obtaining unit, for, for indicating the characteristic information of kinds of goods freshness, obtaining first freshness according to described Data.
9. a kind of electronic equipment characterized by comprising
Processor;And
Memory, for storing the program of kinds of goods monitoring method, which, which is powered and passes through the processor, runs kinds of goods prison After the program of prosecutor method, following step is executed:
The image information of acquisition display kinds of goods state;
Feature extraction is carried out for described image information, obtains the characteristic information for indicating kinds of goods freshness;
According to described for indicating the characteristic information of kinds of goods freshness, the first freshness data of the kinds of goods are obtained.
10. a kind of storage equipment, which is characterized in that be stored with the program of kinds of goods monitoring method, which is run by processor, holds Row following step:
The image information of acquisition display kinds of goods state;
Feature extraction is carried out for described image information, obtains the characteristic information for indicating kinds of goods freshness;
According to described for indicating the characteristic information of kinds of goods freshness, the first freshness data of the kinds of goods are obtained.
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