CN111105180A - Commodity data processing method and device, electronic equipment and tally cart - Google Patents
Commodity data processing method and device, electronic equipment and tally cart Download PDFInfo
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Abstract
The embodiment of the invention provides a commodity data processing method and device, electronic equipment and a goods management vehicle, wherein the method comprises the following steps: carrying out multi-dimensional detection on the commodity to be put in storage, and acquiring multi-dimensional data of the commodity, wherein the multi-dimensional data at least comprises commodity image data and/or bar code data; acquiring commodity information of the commodity according to the multidimensional data, wherein the commodity information at least comprises a commodity name; classifying the commodities according to the commodity information by using a preset commodity classification model to generate classification label information; and storing the commodity information and the classification label information into a commodity database system. According to the embodiment of the invention, the commodities are subjected to multi-dimensional information acquisition and are combined with the processing of the automatic commodity classification model, so that the intelligent identification and classification of the commodities which are put in storage are realized, and the commodity storage efficiency is improved.
Description
Technical Field
The application relates to a commodity data processing method and device, electronic equipment and a tally cart, and belongs to the technical field of computers.
Background
In the prior art, when a store performs warehousing processing on goods, manual checking and information entry are generally required, and even in the case of using a code scanning device, manual operation, later-stage classification statistics and the like are required.
Disclosure of Invention
The embodiment of the invention provides a commodity data processing method and device and electronic equipment, and aims to improve commodity warehousing efficiency.
In order to achieve the above object, an embodiment of the present invention provides a method for processing commodity data, including:
carrying out multi-dimensional detection on the commodity to be put in storage, and acquiring multi-dimensional data of the commodity, wherein the multi-dimensional data at least comprises commodity image data and/or bar code data;
acquiring commodity information of a commodity according to the multi-dimensional data, wherein the commodity information at least comprises a commodity name;
classifying the commodities according to the commodity information by using a preset commodity classification model to generate classification label information;
and storing the commodity information and the classification label information into a commodity database system.
An embodiment of the present invention further provides a device for processing commodity data, including:
the data acquisition module is used for carrying out multi-dimensional detection on the commodities to be put in storage and acquiring multi-dimensional data of the commodities, wherein the multi-dimensional data at least comprises commodity image data and/or bar code data;
the data analysis module is used for acquiring commodity information of the commodity according to the multidimensional data, wherein the commodity information at least comprises a commodity name;
the commodity classification module is used for classifying the commodities according to the commodity information by using a preset commodity classification model to generate classification label information;
and the storage processing module is used for storing the commodity information and the classification label information into a commodity database system.
The embodiment of the invention also provides a commodity data processing method, which comprises the following steps:
when the warehousing behavior of the commodity is detected, collecting multi-dimensional data of the commodity, and collecting the multi-dimensional data of the commodity, wherein the multi-dimensional data at least comprises commodity image data and bar code data;
acquiring commodity information of commodities according to the multi-dimensional data, classifying the commodities according to the commodity information, and generating classification label information;
according to the multi-dimensional data, any one or more of breakage detection, overdue detection and excessive purchase detection are carried out on the commodities, and if the detection result is abnormal, alarm processing is carried out;
storing the commodity information, the classification label information and the detection result into a commodity database system as commodity data;
synchronizing the merchandise data to a POS terminal of a store.
The embodiment of the invention also provides an intelligent cargo management vehicle, which comprises a vehicle body, and a multi-dimensional sensor, a data processing unit and a data communication unit which are arranged on the vehicle body,
a commodity carrying area for carrying commodities is arranged on the vehicle body;
the multi-dimensional sensor is arranged on the side wall and/or the bottom of the vehicle body and used for carrying out multi-dimensional detection on the commodities in the commodity carrying area to generate multi-dimensional data of the commodities; the multi-dimensional sensor includes: any combination of multiple sensors in a camera, an RFID sensor, a bar code recognition sensor and a gravity sensor;
the data processing unit is connected with the multidimensional sensor and used for performing the following data processing through communication with a cloud server or executing a local data processing program:
generating commodity information according to the multi-dimensional data, classifying the commodities according to the commodity information, and generating classification label information;
sending the commodity information and the classification label information to a cloud server as commodity data;
the data communication unit is used for executing communication connection between the data processing unit and the cloud server.
An embodiment of the present invention further provides an electronic device, including:
a memory for storing a program;
a processor, coupled to the memory, for executing the program for:
carrying out multi-dimensional detection on the commodity to be put in storage, and acquiring multi-dimensional data of the commodity, wherein the multi-dimensional data at least comprises commodity image data and/or bar code data;
acquiring commodity information of a commodity according to the multi-dimensional data, wherein the commodity information at least comprises a commodity name;
classifying the commodities according to the commodity information by using a preset commodity classification model to generate classification label information;
and storing the commodity information and the classification label information into a commodity database system.
According to the commodity data processing method and device, the electronic equipment and the goods management vehicle, the commodities are subjected to multi-dimensional information acquisition and processing of the automatic commodity classification model, intelligent identification and classification of the commodities entering the warehouse are achieved, and therefore commodity warehousing efficiency is improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
FIG. 1 is a schematic diagram of an application scenario of an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a terminal container management box according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a terminal cargo handling vehicle according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating a method for processing merchandise data according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a commodity data processing apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The technical solution of the present invention is further illustrated by some specific examples.
In large shops, supermarkets and various retail shops, warehousing and checking of commodities after being delivered are always pain points of enterprises, and a relatively universal mode is to adopt manual entry or scan a code scanning gun one by one to enter a system, so that the mode is time-consuming and labor-consuming. The embodiment of the invention provides a processing technology for realizing intelligent commodity data by utilizing multi-dimensional information acquisition and combining a commodity classification model, so that the processing efficiency of a shop in a warehousing and inventory stage is improved.
As shown in fig. 1, which is a schematic view of an application scenario of the embodiment of the present invention, after a commodity arrives, the intelligent tallying process is performed. The intelligent tally can be processed through a terminal tally box or a terminal tally cart, and the two devices realize initial acquisition of commodity data through sensors with multiple dimensions. In an embodiment of the present invention, the plurality of dimensions may include: the identification of the commodity image includes image identification of the whole outer package of the commodity and identification of various characters (commodity name, date, manufacturer and the like) and picture information (trademark and the like) on the package, and the commodity entry includes a two-dimensional code or a bar code and the like.
As shown in fig. 2, which is a schematic structural diagram of a terminal box according to an embodiment of the present invention, the terminal box may be implemented as: except the goods inlet and the goods outlet, the periphery of the goods inlet and the goods outlet is surrounded by a 360-degree annular scanning panel, the various sensors can be arranged on the annular scanning panel, a crawler belt used for conveying goods is arranged at the bottom of the terminal goods arranging box, the crawler belt can adopt an induction type crawler belt system, and the induction type crawler belt system can comprise sensors such as gravity and vibration.
As shown in fig. 3, which is a schematic structural diagram of a terminal tally cart according to an embodiment of the present invention, the terminal tally cart may be formed by combining a shopping cart in a general supermarket with the terminal tally cart in fig. 2, so as to facilitate warehousing and inventory and goods transportation. As a form of the terminal goods management vehicle, the sensors with multiple dimensions may be directly mounted on the shopping cart to perform multi-dimensional detection on the goods in the shopping cart so as to collect multi-dimensional data of the goods.
Through above-mentioned intelligence tally stage, can discern the commodity data of multiple dimensionality to upload the commodity data of these multiple dimensionalities to server (high in the clouds server or local server), the commodity database system that the server can carry out classification according to these multiple dimensionalities data, then the storage is arrived. For the classification processing of the commodities, a preset commodity classification model can be used, and the commodity classification model can adopt a machine learning model.
After the commodity data is uploaded to the server, the commodity data can be synchronized to a cash register terminal and a mobile phone or a PC terminal of the store, so that commodities in the store can be managed conveniently, and meanwhile, replenishment suggestions and the like for various commodities can be provided for a shop owner.
Example one
As shown in fig. 4, which is a schematic flow chart of a method for processing commodity data according to an embodiment of the present invention, the method includes:
s101: and carrying out multi-dimensional detection on the commodity to be put in storage, and acquiring multi-dimensional data of the commodity, wherein the multi-dimensional data at least comprises commodity image data and/or bar code data. Besides the commodity image data and the barcode data, the multi-dimensional data may further include: magnetic induction data, weight data, size data, and the like. The multi-dimensional data can be subjected to multi-dimensional detection on the commodity through combination of any multiple modes of image identification, RFID induction identification, gravity induction identification and 360-degree bar code identification, and the sensors can form a detection system to carry out omnibearing data detection on the commodity through reasonable layout.
At least two methods can be adopted for the multi-dimensional detection of the commodity:
the first method is as follows: using a warehousing detection device with a commodity transmission channel to perform multi-dimensional detection on commodities (such as the example device of fig. 2), where the warehousing detection device has sensors with different dimensions, and accordingly, the step S101 may include: the commodity to be warehoused is placed on the transmission channel and transmitted to the detection area of the warehousing detection equipment, and multi-dimensional data of the commodity are collected through the sensors with multiple dimensions.
The second method comprises the following steps: using a tally cart mounted with a plurality of dimensional sensors to perform multi-dimensional detection on goods (such as the device shown in fig. 3), step S101 may accordingly include: the method comprises the steps of putting commodities to be warehoused into a cargo handling vehicle, and collecting multi-dimensional data of the commodities through sensors with multiple dimensions installed on the cargo handling vehicle.
Step S101 may trigger each sensor to work after detecting the commodity warehousing operation, and specifically, before step S101, the method may further include: and detecting the warehousing behavior of the commodities by using one or a combination of a plurality of detection modes of vibration detection, acceleration detection, pressure detection and infrared detection, and triggering and executing multi-dimensional detection on the warehoused commodities. For example, the induction type crawler system of the terminal container management box in fig. 2 can be used for detecting that goods need to be put in storage, so as to trigger each sensor to work.
S102: and acquiring commodity information of the commodity according to the multi-dimensional data, wherein the commodity information at least comprises a commodity name. The acquired multidimensional data and the commodity information can be stored in the commodity database system in a correlated manner, and the data also serves as a data base for identifying various commodities in the future. Since the commodity is frequently packaged and the appearance of the commodity has certain differences due to various reasons (such as damage, stains and the like), intelligent commodity identification needs to be realized, and some intelligent analysis needs to be performed by using the existing data, so that quick and accurate commodity identification is realized.
Specifically, in step S102, the method may further include: and using the commodity comparison model to perform similarity analysis on the multi-dimensional data of the commodity and the multi-dimensional data of the existing commodity in the commodity database system so as to determine the commodity name in the commodity information.
S103: and classifying the commodities according to the commodity information by using a preset commodity classification model to generate classification label information. As described above, the commodity classification model may employ a machine learning model that may be trained with some generic data to enable some basic classification from commodity information. In addition, in the embodiment of the invention, personalized classification can be realized according to the requirements of different shops. Specifically, the following processing may be further included:
and acquiring the manually revised classification label information. The classification tag information enters the commodity database system to provide a manual revision function, and staff in the stores can perform classification revision according to the requirements of the stores. Then, the commodity classification model is trained by using the manually revised classification label information so as to adapt to the individual classification requirements, and the commodity classification model after multiple times of training can gradually adapt to the individual classification requirements of the current shop.
S104: and storing the commodity information and the classification label information into a commodity database system, thereby completing the data processing process of the commodity entrance. After that, the commodity database system can also synchronize the information to the cash register of the shop and the mobile phone terminal or the PC terminal of the related personnel, and the like, and can further provide related suggestions for the stock shortage and replenishment of some commodities.
In addition to the above-mentioned steps S101 to S104, the present invention can also provide further intelligent detection in the following aspects:
the first aspect is as follows: overrun and impending detection
In order to detect the expiration and the imminent expiration of the commodity, in the above steps S101 and S102, the expiration date of the commodity needs to be identified by collecting and analyzing the image data of the commodity, i.e. the above commodity information also includes the expiration date of the commodity. Correspondingly, the method may further include: identifying the shelf life state of the commodity according to the current time, and executing the following processing:
if the commodity is identified as an expired commodity, outputting an alarm prompt aiming at the expired commodity;
if the product is identified as a temporary product, generating and recording the temporary label information of the product in the product information, and triggering the product database system to generate a temporary prompt according to the temporary label information after the product information is stored in the product database system.
The second aspect is that: excess procurement detection
After the commodity information of the commodities is acquired according to the multi-dimensional data, the method further comprises the steps of counting the number of the same commodities which are put in storage, and if the number of the same commodities exceeds a preset commodity number threshold value, outputting an alarm prompt aiming at the excess quantity of the commodities.
The third aspect is that: merchandise breakage detection
For breakage detection of a commodity, the multidimensional data at least includes commodity image data, and accordingly, the method may further include: and analyzing the commodity image data, judging whether the package of the commodity is damaged or not, and if so, outputting an alarm prompt aiming at the damage of the commodity.
According to the commodity data processing method, the commodities are subjected to multi-dimensional information acquisition and are combined with the automatic commodity classification model for processing, intelligent identification and classification of the commodities which are put in storage are achieved, and therefore commodity storage efficiency is improved. Further, based on the multi-dimensional commodity information, it is possible to further realize detection of commodity breakage, overdue, excessive purchase, and the like, thereby helping the store to perform store management more efficiently.
Example two
As shown in fig. 5, which is a schematic structural diagram of a product data processing device according to an embodiment of the present invention, the device includes:
the data acquisition module 11 is configured to perform multidimensional detection on a commodity to be put in storage, and acquire multidimensional data of the commodity, where the multidimensional data at least includes commodity image data and/or barcode data.
And the data analysis module 12 is configured to obtain commodity information of the commodity according to the multidimensional data, where the commodity information at least includes a commodity name.
And the commodity classification module 13 is configured to classify commodities according to the commodity information by using a preset commodity classification model, and generate classification label information.
And the storage processing module 14 stores the commodity information and the classification label information into a commodity database system.
The technical implementation details of the modules are described in detail in the foregoing method embodiment, and the details are also applicable to this apparatus embodiment and will not be described herein again.
In addition, in order to detect the expiration date of the commodity, the commodity information further includes the expiration date of the commodity, and accordingly, the apparatus may further include: the expiration and expiration detection module is used for identifying the quality guarantee period state of the commodity according to the current time and executing the following processing:
if the commodity is identified as an expired commodity, outputting an alarm prompt aiming at the expired commodity;
if the product is identified as a temporary product, generating and recording the temporary label information of the product in the product information, and triggering the product database system to generate a temporary prompt according to the temporary label information after the product information is stored in the product database system.
In order to realize the commodity excess detection, the device can further comprise an excess detection module which is used for counting the number of the same commodities which are put in storage, and if the number of the same commodities exceeds a preset commodity number threshold value, an alarm prompt aiming at the commodity excess is output.
In order to realize the commodity breakage detection, the multi-dimensional data at least includes commodity image data, and accordingly, the apparatus may further include: and the commodity damage detection module is used for analyzing the commodity image data, judging whether the package of the commodity is damaged or not, and outputting an alarm prompt aiming at the commodity damage if the package of the commodity is damaged.
According to the commodity data processing device, the commodities are subjected to multi-dimensional information acquisition and are combined with the automatic commodity classification model for processing, intelligent identification and classification of the commodities which are put in storage are achieved, and therefore commodity storage efficiency is improved. Further, based on the multi-dimensional commodity information, it is possible to further realize detection of commodity breakage, overdue, excessive purchase, and the like, thereby helping the store to perform store management more efficiently.
EXAMPLE III
In this embodiment, a commodity data processing method according to an embodiment of the present invention is introduced from the perspective of a whole commodity warehousing process, where the whole process includes:
s201: when the warehousing behavior of the commodity is detected, multi-dimensional data of the commodity is collected, and the multi-dimensional data of the commodity is collected, wherein the multi-dimensional data at least comprises commodity image data and bar code data. The detection of the warehousing behavior of the goods may be performed by a multidimensional sensor, for example, the goods are placed in a tally cart or on the conveyor belt, and these behaviors may be detected by a camera or a gravity sensor, so as to trigger a subsequent detection process.
S202: and acquiring commodity information of the commodity according to the multidimensional data, classifying the commodity according to the commodity information, and generating classification label information.
S203: and performing any one or more of breakage detection, overdue detection and excessive purchase detection on the commodities according to the multi-dimensional data, and performing alarm processing if the detection result is abnormal. In the warehousing process, if various situations such as damage, overdue or imminent due, or excessive purchase of the commodity are found, the alarm can be given in time in a voice or message pushing mode to a mobile phone or a POS terminal so as to inform a salesperson to process.
S204: and storing the commodity information, the classification label information and the detection result as commodity data into a commodity database system. And the related data generated in the warehousing process can be timely sent to a commodity database system at the cloud end for storage.
S205: the merchandise data is synchronized to the POS terminal of the store. After the warehousing generated data are sent to the cloud end, the cloud end can be synchronized to the POS terminal of the shop again, and therefore the whole commodity warehousing process is completed. After warehousing is completed, the POS terminal may sell and manage the goods based on the updated inventory data.
Example four
The embodiment introduces an intelligent cargo management vehicle capable of being used for commodity warehousing processing, and the cargo management vehicle comprises a vehicle body, and a multi-dimensional sensor, a data processing unit and a data communication unit which are arranged on the vehicle body.
A commodity carrying area for carrying commodities is arranged on the vehicle body;
the multi-dimensional sensor is arranged on the side wall and/or the bottom of the vehicle body and used for carrying out multi-dimensional detection on the commodities in the commodity carrying area to generate multi-dimensional data of the commodities; the multi-dimensional sensor in the embodiment of the present invention may be formed by combining a plurality of individual sensor modules, and may include: the combination of any multiple sensors in camera, RFID inductor, bar code recognition inductor, gravity inductor.
The data processing unit is connected with the multi-dimensional sensor and used for performing the following data processing through communication with the cloud server or executing a local data processing program:
generating commodity information according to the multi-dimensional data, classifying commodities according to the commodity information, and generating classification label information;
sending the commodity information and the classification label information to a cloud server as commodity data;
and the data communication unit is used for performing communication connection between the data processing unit and the cloud server.
In addition, the cargo management vehicle can also comprise an alarm module,
the data processing unit is further configured to perform the following processing:
and performing any one or more of breakage detection, overdue detection and excessive purchase detection on the commodities according to the multi-dimensional data, and triggering an alarm module to give an alarm if the detection result is abnormal. The alarm mode can adopt voice or a mode of pushing messages to a mobile phone or a POS terminal to alarm.
EXAMPLE five
The foregoing embodiment describes a flow process and a device structure according to an embodiment of the present invention, and the functions of the method and the device can be implemented by an electronic device, as shown in fig. 6, which is a schematic structural diagram of the electronic device according to an embodiment of the present invention, and specifically includes: a memory 110 and a processor 120.
And a memory 110 for storing a program.
In addition to the programs described above, the memory 110 may also be configured to store other various data to support operations on the electronic device. Examples of such data include instructions for any application or method operating on the electronic device, contact data, phonebook data, messages, pictures, videos, and so forth.
The memory 110 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
A processor 120, coupled to the memory 110, for executing the program in the memory 110, for performing the following:
carrying out multi-dimensional detection on the commodity to be put in storage, and acquiring multi-dimensional data of the commodity, wherein the multi-dimensional data at least comprises commodity image data and/or bar code data;
acquiring commodity information of the commodity according to the multidimensional data, wherein the commodity information at least comprises a commodity name;
classifying the commodities according to the commodity information by using a preset commodity classification model to generate classification label information;
and storing the commodity information and the classification label information into a commodity database system.
Wherein, the commodity information also includes the shelf life of the commodity, and the processing also can include:
identifying the shelf life state of the commodity according to the current time, and executing the following processing:
if the commodity is identified as an expired commodity, outputting an alarm prompt aiming at the expired commodity;
if the product is identified as a temporary product, generating and recording the temporary label information of the product in the product information, and triggering the product database system to generate a temporary prompt according to the temporary label information after the product information is stored in the product database system.
After the commodity information of the commodity is acquired according to the multi-dimensional data, the method also comprises the step of counting the number of the same commodities which are put in storage;
and if the quantity of the same commodities exceeds a preset commodity quantity threshold value, outputting an alarm prompt aiming at the excess quantity of the commodities.
Wherein, the multi-dimensional data at least includes commodity image data, and the processing may further include: and analyzing the commodity image data, judging whether the package of the commodity is damaged or not, and if so, outputting an alarm prompt aiming at the damage of the commodity.
Wherein, the above-mentioned processing may further include: acquiring manually revised classification label information; and training the commodity classification model by using the manually revised classification label information so as to enable the commodity classification model to adapt to the personalized classification requirement.
Wherein, the above-mentioned processing may further include: storing the multi-dimensional data of the commodity and the commodity information in a commodity database system in a correlation manner, and acquiring the commodity information of the commodity according to the multi-dimensional data comprises the following steps: and using the commodity comparison model to perform similarity analysis on the multi-dimensional data of the commodity and the multi-dimensional data of the existing commodity in the commodity database system so as to determine the commodity name in the commodity information.
The multi-dimensional detection of the commodity to be warehoused may include: and carrying out multi-dimensional detection on the commodity by using any combination of a plurality of modes of image identification, RFID induction identification, gravity induction identification and 360-degree bar code identification.
Before the multi-dimensional detection is performed on the commodity to be warehoused, the method can further comprise the following steps: and detecting the warehousing behavior of the commodities by using one or a combination of a plurality of detection modes of vibration detection, acceleration detection, pressure detection and infrared detection, and triggering and executing multi-dimensional detection on the warehoused commodities.
The warehouse entry detection equipment with the commodity transmission channel is used for carrying out multi-dimensional detection on commodities, the warehouse entry detection equipment is provided with sensors with different dimensions, the commodities to be warehoused are subjected to multi-dimensional detection, and the acquisition of multi-dimensional data of the commodities can comprise:
the commodity to be warehoused is placed on the transmission channel and transmitted to the detection area of the warehousing detection equipment, and multi-dimensional data of the commodity are collected through the sensors with multiple dimensions.
Wherein, the tally car that uses the sensor of installing a plurality of dimensions carries out the multidimension degree detection to commodity, treats the commodity of putting in storage and carries out the multidimension degree detection, and the multidimension degree data of gathering commodity can include: the method comprises the steps of putting commodities to be warehoused into a cargo handling vehicle, and collecting multi-dimensional data of the commodities through sensors with multiple dimensions installed on the cargo handling vehicle.
The detailed description of the above processing procedure, the detailed description of the technical principle, and the detailed analysis of the technical effect are described in the foregoing embodiments, and are not repeated herein.
Further, as shown, the electronic device may further include: communication components 130, power components 140, audio components 150, display 160, and other components. Only some of the components are schematically shown in the figure and it is not meant that the electronic device comprises only the components shown in the figure.
The communication component 130 is configured to facilitate wired or wireless communication between the electronic device and other devices. The electronic device may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 130 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 130 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
The power supply component 140 provides power to the various components of the electronic device. The power components 140 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for an electronic device.
The audio component 150 is configured to output and/or input audio signals. For example, the audio component 150 includes a Microphone (MIC) configured to receive external audio signals when the electronic device is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 110 or transmitted via the communication component 130. In some embodiments, audio assembly 150 also includes a speaker for outputting audio signals.
The display 160 includes a screen, which may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (18)
1. A commodity data processing method comprises the following steps:
carrying out multi-dimensional detection on the commodity to be put in storage, and acquiring multi-dimensional data of the commodity, wherein the multi-dimensional data at least comprises commodity image data and/or bar code data;
acquiring commodity information of a commodity according to the multi-dimensional data, wherein the commodity information at least comprises a commodity name;
classifying the commodities according to the commodity information by using a preset commodity classification model to generate classification label information;
and storing the commodity information and the classification label information into a commodity database system.
2. The method of claim 1, wherein the commodity information further includes a shelf life of the commodity, the method further comprising:
identifying the shelf life state of the commodity according to the current time, and executing the following processing:
if the commodity is identified as an expired commodity, outputting an alarm prompt aiming at the expired commodity;
if the product is identified as a temporary product, generating and recording the temporary label information of the product in the product information, and triggering the product database system to generate a temporary prompt according to the temporary label information after the product information is stored in the product database system.
3. The method of claim 1, wherein after acquiring commodity information of a commodity according to the multidimensional data, the method further comprises performing quantity statistics on the same commodities which have been put in storage;
and if the quantity of the same commodities exceeds a preset commodity quantity threshold value, outputting an alarm prompt aiming at the excess quantity of the commodities.
4. The method of claim 1, wherein the multi-dimensional data includes at least merchandise image data, the method further comprising:
and analyzing the commodity image data, judging whether the package of the commodity is damaged or not, and if so, outputting an alarm prompt aiming at the damage of the commodity.
5. The method of claim 1, further comprising:
acquiring manually revised classification label information;
and training the commodity classification model by using the manually revised classification label information so as to enable the commodity classification model to adapt to individual classification requirements.
6. The method of claim 1, further comprising:
storing the multi-dimensional data of the commodity in the commodity database system in association with the commodity information,
the acquiring of the commodity information of the commodity according to the multidimensional data comprises:
and using a commodity comparison model to perform similarity analysis on the multi-dimensional data of the commodity and the multi-dimensional data of the existing commodity in the commodity database system, and determining the commodity name in the commodity information.
7. The method of claim 1, wherein performing multi-dimensional inspection on the goods to be warehoused comprises:
and carrying out multi-dimensional detection on the commodity by using any combination of a plurality of modes of image identification, RFID induction identification, gravity induction identification and 360-degree bar code identification.
8. The method of claim 1, wherein before performing the multi-dimensional inspection on the goods to be warehoused, the method further comprises:
and detecting the warehousing behavior of the commodities by using one or a combination of a plurality of detection modes of vibration detection, acceleration detection, pressure detection and infrared detection, and triggering and executing multi-dimensional detection on the warehoused commodities.
9. The method of claim 1, wherein the merchandise is multi-dimensionally inspected using an in-store inspection device having a merchandise transport channel, the in-store inspection device having sensors of different dimensions,
the multi-dimensional detection is carried out on the commodities to be put in storage, and the acquisition of the multi-dimensional data of the commodities comprises the following steps:
and placing the commodities to be warehoused on the transmission channel, transmitting the commodities to the detection area of the warehousing detection equipment, and acquiring multi-dimensional data of the commodities through the sensors with multiple dimensions.
10. The method of claim 1, wherein the commodity is subjected to multi-dimensional detection by using a goods management vehicle provided with a plurality of dimensional sensors, the commodity to be warehoused is subjected to multi-dimensional detection, and the collecting of the multi-dimensional data of the commodity comprises:
the method comprises the steps of putting commodities to be warehoused into a cargo handling vehicle, and collecting multi-dimensional data of the commodities through sensors with multiple dimensions installed on the cargo handling vehicle.
11. An apparatus for processing merchandise data, comprising:
the data acquisition module is used for carrying out multi-dimensional detection on the commodities to be put in storage and acquiring multi-dimensional data of the commodities, wherein the multi-dimensional data at least comprises commodity image data and/or bar code data;
the data analysis module is used for acquiring commodity information of the commodity according to the multidimensional data, wherein the commodity information at least comprises a commodity name;
the commodity classification module is used for classifying the commodities according to the commodity information by using a preset commodity classification model to generate classification label information;
and the storage processing module is used for storing the commodity information and the classification label information into a commodity database system.
12. The apparatus of claim 11, wherein the merchandise information further includes a shelf life of the merchandise, the apparatus further comprising: the expiration and expiration detection module is used for identifying the quality guarantee period state of the commodity according to the current time and executing the following processing:
if the commodity is identified as an expired commodity, outputting an alarm prompt aiming at the expired commodity;
if the product is identified as a temporary product, generating and recording the temporary label information of the product in the product information, and triggering the product database system to generate a temporary prompt according to the temporary label information after the product information is stored in the product database system.
13. The device of claim 11, further comprising an excess detection module, configured to count the number of the same commodities that have been warehoused, and output an alarm prompt for commodity excess if the number of the same commodities exceeds a preset commodity number threshold.
14. The device of claim 11, wherein the multi-dimensional data at least comprises commodity image data, and the device further comprises a commodity breakage detection module, configured to analyze the commodity image data, determine whether a package of a commodity is broken, and if so, output an alarm prompt for commodity breakage.
15. An electronic device, comprising:
a memory for storing a program;
a processor, coupled to the memory, for executing the program for:
carrying out multi-dimensional detection on the commodity to be put in storage, and acquiring multi-dimensional data of the commodity, wherein the multi-dimensional data at least comprises commodity image data and/or bar code data;
acquiring commodity information of a commodity according to the multi-dimensional data, wherein the commodity information at least comprises a commodity name;
classifying the commodities according to the commodity information by using a preset commodity classification model to generate classification label information;
and storing the commodity information and the classification label information into a commodity database system.
16. A commodity data processing method comprises the following steps:
when the warehousing behavior of the commodity is detected, collecting multi-dimensional data of the commodity, and collecting the multi-dimensional data of the commodity, wherein the multi-dimensional data at least comprises commodity image data and bar code data;
acquiring commodity information of commodities according to the multi-dimensional data, classifying the commodities according to the commodity information, and generating classification label information;
according to the multi-dimensional data, any one or more of breakage detection, overdue detection and excessive purchase detection are carried out on the commodities, and if the detection result is abnormal, alarm processing is carried out;
storing the commodity information, the classification label information and the detection result into a commodity database system as commodity data;
synchronizing the merchandise data to a POS terminal of a store.
17. An intelligent cargo management vehicle comprises a vehicle body, a multi-dimensional sensor, a data processing unit and a data communication unit which are arranged on the vehicle body,
a commodity carrying area for carrying commodities is arranged on the vehicle body;
the multi-dimensional sensor is arranged on the side wall and/or the bottom of the vehicle body and used for carrying out multi-dimensional detection on the commodities in the commodity carrying area to generate multi-dimensional data of the commodities; the multi-dimensional sensor includes: any combination of multiple sensors in a camera, an RFID sensor, a bar code recognition sensor and a gravity sensor;
the data processing unit is connected with the multidimensional sensor and used for performing the following data processing through communication with a cloud server or executing a local data processing program:
generating commodity information according to the multi-dimensional data, classifying the commodities according to the commodity information, and generating classification label information;
sending the commodity information and the classification label information to a cloud server as commodity data;
the data communication unit is used for executing communication connection between the data processing unit and the cloud server.
18. The intelligent organizer truck of claim 17, further comprising an alarm module,
the data processing unit is further configured to perform the following processing:
and performing any one or more of breakage detection, overdue temporary detection and excessive purchase detection on the commodities according to the multi-dimensional data, and triggering an alarm module to give an alarm if the detection result is abnormal.
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