CN111429655A - Goods identification method, goods identification system, storage medium and electronic equipment - Google Patents
Goods identification method, goods identification system, storage medium and electronic equipment Download PDFInfo
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- CN111429655A CN111429655A CN202010129658.8A CN202010129658A CN111429655A CN 111429655 A CN111429655 A CN 111429655A CN 202010129658 A CN202010129658 A CN 202010129658A CN 111429655 A CN111429655 A CN 111429655A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/40—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight
- G01G19/413—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means
- G01G19/414—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means using electronic computing means only
- G01G19/4144—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means using electronic computing means only for controlling weight of goods in commercial establishments, e.g. supermarket, P.O.S. systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/40—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight
- G01G19/413—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means
- G01G19/414—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means using electronic computing means only
- G01G19/415—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means using electronic computing means only combined with recording means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
- G07F11/02—Coin-freed apparatus for dispensing, or the like, discrete articles from non-movable magazines
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Abstract
The invention provides a goods identification method, a goods identification system, a storage medium and an electronic device, which can judge the number of goods which are taken away or put back by monitoring the accurate weight change value of each tray on a goods shelf in real time, so that the judgment of the shopping information of a user is more accurate, the problem of the wrong shopping record caused by the wrong taking and putting of the goods is avoided, the user experience is improved, and the problem of the wrong shopping record caused by the wrong taking and putting of the goods by the user in the shopping is fundamentally solved.
Description
Technical Field
The invention relates to a goods perception technology for retail industry, in particular to a goods identification method, a goods identification system, a storage medium and an electronic device.
Background
In the traditional shopping mode of retail industry, each supermarket convenience store needs special salesmen and cashiers, and the labor cost is high. With the development of the electronic payment technology, the identity perception technology and the cloud computing technology, the unmanned supermarket project has high feasibility in technology. In the unmanned supermarket project, a basic problem to be solved urgently is the problem of judging and recording goods selected by a user, specifically, a server needs to accurately judge the types of goods taken away from a shelf by the user, the quantity and unit price of the taken-away goods and the like so as to automatically realize settlement for the user.
In the prior art, the same kind of goods are placed on the same shelf or tray as much as possible, if a user takes a certain goods from one shelf or tray and then places the goods on another shelf or tray, the problem of wrong taking and wrong placing can be caused, and for some solutions in the prior art, the user needs to put the goods picked up back to the shelf in the shopping process. When a user misplaces picked goods to other positions, the computer cannot accurately identify the types and the quantity of the goods placed back, the shopping database of the user cannot be timely and accurately updated, and the user needs to pay the cost of the goods after placing the goods back to the wrong position of the goods shelf, so that identification errors are caused, and the user experience is influenced. The problem that the user makes a shopping record wrong due to the fact that the user randomly puts wrong goods on a wrong shelf or tray is called as the wrong-taking and wrong-putting problem in the industry.
In the prior art, a weight sensor is arranged on a shelf, which can only judge the type of goods taken away or put back, but can not accurately distinguish the detail difference of the goods of the same type, and which can not judge the goods taken away or put back. Therefore, a technology capable of accurately judging the identity of a changed goods is urgently needed in the market so as to solve the problem of wrong taking and putting.
Disclosure of Invention
The invention aims to provide a goods perception technology based on micro-weight monitoring, and aims to solve the technical problems that in the prior art, the detail difference of the goods of the same type cannot be accurately distinguished, the identity of the changed goods cannot be accurately identified, and the phenomena of wrong taking and wrong placing are easy to occur.
In order to achieve the above object, the present invention provides a method for identifying goods, comprising the steps of: a goods database construction step, wherein the goods database is constructed and comprises at least one accurate weight value of goods and at least one accurate weight value of a tray; the accurate weight value is accurate to 10x grams, x is an integer, and x is more than or equal to-3 and less than or equal to 0; a second collection step of tray change values, namely collecting the accurate weight change value of each tray on a shelf in real time; a second tray change value judgment step of judging whether all the accurate weight change values of all the trays are 0; if yes, returning to the second collection step of the tray change value; if not, executing the next step; a goods judging step, when the accurate weight change value of a tray is a non-zero value, identifying whether goods are taken away or put back according to the accurate weight change value, and acquiring a goods number corresponding to the goods; and a second updating step of the goods database, namely storing the real-time accurate weight induction value of the tray to the goods database so as to replace the accurate weight value of the tray in the goods database, and returning to the second collecting step of the tray change value.
Further, the goods identification method further comprises the following steps: a user identity identification step, namely identifying identity information of each user; a shopping database generating step, namely generating a shopping database of the user according to the identity information of the user; and a shopping user judgment step of judging the identity of the user who takes away or puts back the goods when the goods are taken away or put back.
Further, after each of the goods judging steps, the following steps are included: a step of calling goods information, in which the goods information of the goods is called from the goods database according to the goods number; and a shopping database updating step of recording the goods information of the goods in a shopping database of a user who takes away the goods when the goods are taken away from a tray; when an item is put back to a tray, item information of the item is deleted from a shopping database of a user who puts back the item.
Further, the goods judging step comprises a pick-and-place state judging step, and whether the accurate weight change value of the tray is less than 0 is judged; if yes, determining that goods are taken away from the tray; if not, the goods are judged to be placed on the tray or put back to the tray.
Further, the goods judging step includes a goods number judging step of judging whether an absolute value of the accurate weight change value is equal to an accurate weight value of a goods in the goods database; if so, the goods in the goods database are judged to be the goods which are taken away or put back, and the goods number is obtained.
Further, the goods judging step includes the steps of: when the accurate weight value of a tray is larger than zero, judging the identity of the user who puts back the article; calling a shopping database of the user who puts back the item; judging whether the absolute value of the accurate weight change value is the same as the accurate weight value of a goods in the shopping database of the user; if yes, the article is judged to be the returned article, and the article number of the article is obtained.
Further, the goods database construction step specifically comprises the following steps: initializing a goods database, namely initializing the goods database, and inputting shelf numbers, tray numbers and accurate weight values of each tray; in an initial state, the accurate weight value of a tray in the goods database is an accurate weight induction value of the tray in a no-goods state; a goods type inputting step, namely inputting goods information of a goods into the goods database, wherein the goods information comprises a goods number of the goods, the goods type, a standard weight value of the goods of the type and a goods price; a first collection step of tray variation values, wherein the goods are placed on a tray of a goods shelf, and the accurate weight variation value of each tray is collected in real time; a first tray change value judgment step of judging whether all the accurate weight change values of all the trays are 0; if yes, returning to the step of inputting the goods type; if not, executing the next step; a goods weight recording step, when the accurate weight change value of a tray is a non-zero value, recording the accurate weight change value of the tray as the accurate weight value of the goods in the goods database; a first updating step of the goods database, namely inputting a real-time accurate weight sensing value of the tray into the goods database so as to replace the accurate weight value of the tray in the goods database; and returning to the step of inputting the goods type.
Further, in the goods weight recording step, when the accurate weight variation value of a tray is a non-zero value, calculating a difference value between the accurate weight variation value and the standard weight value of the kind of goods; when the ratio of the absolute value of the difference value to the standard weight value of the type of goods is smaller than a first preset threshold value, the accurate weight change value of the tray is recorded in the goods database as the accurate weight value of the goods.
Further, the first collection step of the tray variation value specifically comprises the following steps: a first tray weight acquisition step, wherein the goods are placed on a tray of a shelf, and a real-time accurate weight induction value of each tray is acquired; and a first calculation step of tray weight difference, which is to calculate the accurate weight change value of each tray on the goods shelf, wherein the accurate weight change value is the difference value between the real-time accurate weight induction value of each tray and the accurate weight value of the tray in the goods database.
Further, the second collection step of the tray variation value specifically comprises the following steps: a second tray weight acquisition step, namely acquiring a real-time accurate weight induction value of each tray on a shelf in real time; and a second calculation step of tray weight difference, namely calculating the accurate weight change value of each tray in real time, wherein the accurate weight change value is the difference value between the real-time accurate weight induction value of each tray and the accurate weight value of the tray in the goods database. Further, in the second collection step of tray weight, when the weight induction value of a tray changes, whether the weight sensor can collect accurate and stable induction data is judged, and if yes, the second calculation step of tray weight difference is executed; if not, the tray is judged to be in an abnormal state, and an alarm signal can be optionally sent out.
Further, in the goods judging step, judging whether an absolute value of a tray accurate weight variation value is the same as an accurate weight value of a goods in the goods database; if not, judging that the tray is in an abnormal state; optionally sending out an alarm signal, and returning to the second collection step of the tray change value.
Further, before the goods database building step, the method further comprises the following steps: a shelf setting step of setting at least one shelf, wherein each shelf comprises a plurality of mutually independent trays; and a sensor setting step of setting a microgravity sensor below each tray. And after the sensor setting step, the method also comprises a goods placing step, wherein at least one goods is placed in at least one tray, and only one goods is placed at a time.
The invention also provides a storage medium, which stores executable program codes, and at least one processor reads the executable program codes to run a computer program corresponding to the executable program codes so as to execute at least one step of the goods identification method.
The invention also provides an electronic device, comprising a memory and a processor; the memory is used for storing executable program codes; the processor is connected to the memory, and executes a computer program corresponding to the executable program code by reading the executable program code to execute the steps in the item identification method.
The invention also provides a goods identification system, which comprises the electronic equipment, at least one shelf and at least one microgravity sensor; each shelf comprises a plurality of independent trays; at least one microgravity sensor is arranged below each tray and connected to the electronic equipment. The microgravity sensor is used for acquiring an accurate weight value of at least one goods and/or an accurate weight value of the tray; the accurate weight value is accurate to 10x grams, x is an integer, and x is more than or equal to-3 and less than or equal to 0.
The goods identification method, the goods identification system, the storage medium and the electronic equipment have the advantages that the accurate weight change value of each tray on the goods shelf is monitored in real time in a mode of arranging the high-precision micro weight sensor in the tray of the goods shelf, and the goods which are taken away or put back are deduced according to the real-time change situation of the accurate weight values of all shelf boards on the goods shelf, so that the type of the taken away or put back goods can be judged, the identity of the goods can be accurately judged, and the goods number can be obtained.
Even if a plurality of goods of different types are placed in the same tray on one shelf, once the weight of the tray changes, the computer can accurately identify the goods number corresponding to the taken or placed goods, and then the shopping information of the user is accurately updated. Even if the user mistakenly takes and misplaces the goods, the shopping record of the user cannot make mistakes, even if the goods are placed to wrong positions by people, the purchasing process of the next user cannot be influenced, the problem of mistakenly taking and misplacing is fundamentally solved, and the user experience is improved.
Drawings
FIG. 1 is a top view of an unmanned supermarket according to an embodiment of the present invention;
FIG. 2 is a schematic view of the overall structure of the shelf according to the embodiment of the invention;
fig. 3 is a schematic structural view of a tray and a shelf plate according to an embodiment of the invention;
FIG. 4 is a flow chart of a method of identifying an item according to the present invention;
FIG. 5 is a flowchart of the goods database construction steps of the present invention;
FIG. 6 is a flowchart of a first step of collecting tray variation values according to the present invention;
FIG. 7 is a flowchart of a second step of collecting tray variation values according to the present invention;
fig. 8 is a schematic structural diagram of the article identification system according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in full hereinafter with reference to the accompanying drawings, for the technical content thereof to be more clearly understood. The present invention may be embodied in many different forms of embodiments and its scope is not limited to the embodiments set forth herein.
In the drawings, elements having the same structure are denoted by the same reference numerals, and elements having similar structure or function are denoted by the same reference numerals throughout. Directional phrases used in this disclosure, such as, for example, upper, lower, front, rear, left, right, inner, outer, upper, lower, side, top, bottom, front, rear, end, etc., are used in the drawings only for the purpose of explaining and illustrating the present invention and are not intended to limit the scope of the present invention.
When certain components are described as being "on" another component, the components can be directly on the other component; there may also be an intermediate member disposed on the intermediate member and the intermediate member disposed on the other member. When an element is referred to as being "mounted to" or "connected to" another element, they may be directly "mounted to" or "connected to" the other element or indirectly "mounted to" or "connected to" the other element through an intermediate element.
The present embodiment relates to a goods recognition system, which is a part of an unmanned vending system used in an unmanned supermarket or an unmanned convenience store.
As shown in fig. 1 to 3, the vending system includes a closed space 1, in which a plurality of shelves 2 are disposed, each shelf 2 includes a support 3 and a plurality of shelves 4 detachably mounted on the support 3, and the shelves 4 are parallel to each other at different heights or flush with each other at the same height. Each shelf board 4 is provided with a tray 5 or a plurality of trays 5 arranged in parallel, at least one kind of goods is placed on each tray 5, and the number of each kind of goods is one or more. In this embodiment, the types of the articles on the same tray 5 are the same or different, and preferably, only one type of the articles is placed on the same tray 5.
As shown in fig. 2, 3 and 8, the article identification system 100 of the present invention includes an electronic device 10, at least one shelf 2 and at least one microgravity sensor 6.
At least one microgravity sensor 6, preferably a weight sensor approximately in the shape of a rectangular parallelepiped, is arranged between each tray 5 and the shelf plate 4, the lower surface of one end of the microgravity sensor is connected to one shelf plate 4, the upper surface of the other end of the microgravity sensor is connected to one tray 5, each microgravity sensor 6 is connected to the electronic device 10, the total accurate weight value of the tray 5 above the microgravity sensor and all goods placed on the upper surface of the tray 5 is acquired in real time, and the accurate weight value is transmitted to the electronic device 10.
The electronic device 10 is preferably a computer having a storage in which an item database is stored, in which item information of at least one item is stored; the goods information includes a goods type, a goods price, and a standard weight value of each type of goods. Further, the goods information also comprises the goods number of each goods, and the information of each goods can be searched according to the goods number. The goods database also stores the serial number m of each tray, the accurate weight value Pm0 of each tray in an empty state, the goods types placed on each tray, the accurate weight value of each goods, the placing position of each goods and the like. The goods of the same kind have the same standard weight value, but different goods of the same kind have different accurate weight values due to individual differences.
The accurate weight value is accurate to 10x grams, x is an integer, x is not less than-3 and not more than 0, preferably x is not less than-1 or-2 or-3, obviously, the cost of the sensor with higher accuracy is higher, the accuracy of the sensor only needs to judge the individual goods in consideration of the cost, and the operator of the convenience store can select the appropriate accuracy of the sensor according to the total number of the goods. When a certain goods is taken away by the user, the accurate weight value data collected by the microgravity sensor 6 below the tray 5 where the goods are located will become small, and when the certain goods are put back, the accurate weight value data collected by the microgravity sensor 6 below the tray 5 where the goods are located will become large. The electronic device 10 may monitor the accurate weight change value of each tray in real time through the microgravity sensor 6, determine whether a goods is taken away or put back, determine a goods number of the goods, and record goods information of the goods.
Under the ideal state, the user quality is high, and the goods can be correctly put back to the original goods shelf when being put back each time. Or, the user is reminded on the wall of the unmanned supermarket, the wrong placement of the goods can cause the wrong shopping record, the payment amount exceeds the actual consumption amount, and all the users are forced to correctly place the goods back to the original position of the goods when putting back the goods each time. However, the method can not fundamentally solve the problem that the shopping record of the user is wrong due to the fact that the user mistakenly takes and puts the goods in the shopping process, and poor user experience can be brought to the user if the user mistakenly puts the goods in the position, so that the system records are wrong.
In this embodiment, the goods of the same kind have the same standard weight value, but due to individual differences, the precise weight value of a good usually has a deviation from its standard weight value, and the deviation is generally less than or equal to 5%. In fact, two goods which are absolutely the same are not available in the world, and the higher the weight precision is, the less the possibility that one goods is the same as the other goods in weight is.
Assuming that accurate weight values of a plurality of goods in a convenience store are identical when the accurate weight values are accurate to 1 g, when the weight accuracy of the micro weight sensor is 0.1 g, the possibility that the accurate weight values of two goods are identical is 10%; when the weight accuracy of the micro weight sensor is 0.01 g, the possibility that the exact weight values of two articles are exactly the same is 1%.
In fact, even if the weight accuracy of the micro weight sensor is only accurate to 1 gram, several different goods of the same kind are likely to have different weight values, and the possibility that the accurate weight values of more than two goods are exactly the same is further reduced. For example, if the standard weight value of an article is 100 g, the reasonable deviation range of the weight value is plus or minus 5%, the actual weight value of each article in the category may be any value between 95 and 105 g, and the possibility that the exact weight values of two articles are identical is 1/11, that is, 9.1%. In this case, when the weight accuracy of the micro weight sensor is accurate to 0.1 g, the possibility that the exact weight values of the two articles are identical is 0.91%, and when the weight accuracy of the micro weight sensor is accurate to 0.01 g, the possibility that the exact weight values of the two articles are identical is 0.091%.
Generally, the total number of the goods placed on the shelf of a common convenience store is 300-3000, and the number of the goods of the same kind placed on the same tray is only 5-30, so that the probability that the two goods in the convenience store have the same exact weight is very small and can be ignored.
The weight accuracy of the micro weight sensor in the prior art can be 10-4 g, and the higher the accuracy of the weight sensor is, the lower the possibility that the accurate weight values of two commodities are completely the same is. Typically, the computer may ignore the effects of small probability events, and consider each item to have a unique accurate weight value. Therefore, in the present embodiment, the accurate weight value of the goods may be used as a parameter specific to each piece of goods, and the accurate weight value may also be referred to as a micro weight value, a micro weight parameter, or a micro weight attribute.
The electronic equipment of the invention takes the accurate weight value of each goods as the judgment basis of the goods taking and placing state, accurately judges the goods number of the goods which are taken away or put back according to the weight change condition of each tray on the goods shelf, and then calls the goods information such as the price, the type and the like of the goods from the goods database. And after the identity of the user who takes and puts the goods is judged, updating the shopping database of the user in real time.
Generally, in order to facilitate a user to search for goods, only one kind of goods is placed in each tray; of course, similar kinds of goods can be placed, for example, beverages of different brands, different specifications and different prices can be placed on the same tray, and the user experience is not affected.
When a certain goods on a certain tray is taken away, the micro weight sensor below the tray where the goods are located collects the accurate weight value of the tray in real time, compares the accurate weight value with the accurate weight value of the tray at the previous moment in the goods database and calculates the difference value between the accurate weight value and the accurate weight value, and obtains the accurate weight change value of the tray. Since the serial number of each tray and the kind of the goods placed on each tray are stored in advance in the goods database, the electronic device 10 can acquire the possible kind of the goods to be taken away according to the serial number of the tray whose weight is changed. Because the standard weight value of each kind of goods and the accurate weight value of each kind of goods have been stored in advance in the goods database, the electronic equipment 10 can judge the goods kind and the goods number of the goods of being taken away the away according to the accurate weight change value of this tray. Because each goods corresponds a microgravity parameter, three thousand goods have three thousand accurate weight values, even placed multiple different kinds of goods in same tray, the goods serial number that the goods that are taken out correspond also can accurately be discerned to electronic equipment. When the serial number of the goods is identified, the electronic device 10 stores the new accurate weight value of the tray to the goods database to replace the original accurate weight value of the tray, thereby completing the update of the goods database. Meanwhile, the electronic device 10 writes the item information of the removed item into the shopping database of the user who removed the item to update the shopping record of the user in real time.
When a user puts back an article to the original position, the electronic equipment can also accurately identify the article number corresponding to the put-back article, and the data processing flow is similar to that in the previous process. The electronic equipment stores the new accurate weight value of the tray to the goods database so as to replace the original accurate weight value of the tray and complete the updating of the goods database. Meanwhile, the electronic device 10 deletes the item information of the put-back item from the shopping database of the user who put back the item to update the shopping record of the user in real time.
If the phenomenon of wrong taking and misplacing happens, a user places the goods originally belonging to the A tray on the B tray, and because the A, B trays are connected to the same electronic equipment 10, the computer can also recognize the accurate weight value of the goods according to the accurate weight change value of the B tray, and judge the goods number thereof according to the accurate weight change value of the B tray. And after the identity of the user who puts back the goods and the number of the goods are determined, deleting the goods information corresponding to the goods from the shopping database of the user. As shown in fig. 4, the present invention provides an article identification method including the following steps S1-S12.
S1, a shelf setting step, namely setting at least one shelf, wherein each shelf comprises a plurality of independent trays.
S2, a sensor setting step, in which at least one microgravity sensor is set under each tray to monitor the weight change of the tray in real time. The accurate weight value measured by the microgravity sensor is accurate to 10x grams, x is an integer, and x is more than or equal to-3 and less than or equal to 0.
S3, placing at least one goods in at least one tray, and placing only one goods at a time. The types of different goods on the same tray can be the same or different. When putting goods, the staff puts each goods in proper order, puts one at every turn to the accurate weight value of each goods is gathered to electronic equipment, microgravity parameter promptly.
In this embodiment, before placing the goods, the staff sets the kind of the goods to be placed on each tray in the electronic device (computer), and inputs a plurality of items of information of each kind of the goods, such as the standard weight value of the goods, the kind of the goods, the place of origin of the goods, the price of the goods, and the like.
If some trays are not set with the types of goods, the setting can be supplemented in a code scanning mode. For example, a bar code or a two-dimensional code is provided on the outer package of each article, and a plurality of items of article information of the article are recorded. When a worker needs to place goods on a tray which is not provided with goods types, before placing the goods, a code scanning device (such as a bar code reader-writer or a two-dimensional code reader-writer) is used for scanning a bar code or a two-dimensional code of the goods, and the goods information of the goods is acquired and transmitted to the goods database of the electronic equipment (computer). Sweep the sign indicating number back, the staff puts same kind of goods to a certain tray in proper order, and electronic equipment acquires the serial number of the tray that takes place weight change, sets up the goods kind that should put on this tray and sweeps the goods kind that the sign indicating number was got off promptly for the previous moment.
S4, a goods database construction step, namely constructing a goods database, wherein the goods database stores the goods information of at least one goods; the goods information includes a goods type, a goods price, and a standard weight value of each type of goods. Furthermore, the goods information also comprises goods numbers which are in one-to-one correspondence with each goods, so that the computer can conveniently search the goods. Alternatively, a tray number m of each tray, an accurate weight value Pm0 of each tray in an empty state, an accurate weight value of each article, a placement position of each article, and the like are also recorded in the article database. The accurate weight value is accurate to 10x grams, x is an integer, and x is more than or equal to-3 and less than or equal to 0; the goods of the same kind have the same standard weight value, but different goods of the same kind have different accurate weight values due to individual differences.
The goods database construction step S4 and the goods placement step S3 are performed synchronously, and the accurate weight value of the goods is collected once when the goods are placed; in-process is put to goods, every goods of putting, the little weight sensor of goods shelves acquires the real-time weight change value of this tray, conveys to electronic equipment (computer), electronic equipment can acquire a weight sense change value in real time to take notes the accurate weight value of this goods with it, the storage is in the goods database, the number of each goods can be taken notes to the number of times that the weight change took place according to goods shelves to the computer, once every change, the counter adds one, the tray position that each goods was put can be obtained according to the tray number that takes place the weight change.
Even if a plurality of different types of goods are placed in the same tray on one goods shelf, the computer can accurately identify the goods numbers of the goods which are taken or put back, so that the problem that the shopping records of the goods are wrong due to the fact that the goods are taken by mistake is solved, the normal shopping settlement of the next user is not influenced even if the goods are taken by mistake by the last user, and the problem that the shopping records of the users are wrong due to the fact that the goods are taken by mistake in the shopping is fundamentally solved.
Specifically, as shown in FIG. 5, the goods database construction step S4 specifically includes the following steps S41-S46. S41, initializing a goods database, namely initializing the goods database, and recording shelf numbers, tray numbers and accurate weight values of each tray; meanwhile, the type of the goods placed on each tray of each shelf can be preset in the goods database. In an initial state, the accurate weight value of a tray in the goods database is an accurate weight induction value of the tray in a no-goods state. S42, inputting the goods type, wherein goods information is stored on the two-dimensional code or the bar code outside each goods, each goods is placed on a shelf and is scanned once, the goods information of each goods is input to the goods database in a code scanning mode, the goods information comprises the goods type of the goods, the standard weight value of the goods of the type and the goods price, and the goods information also can comprise the goods number. S43, a first step of collecting tray variation values, the goods are placed on a tray of a shelf, and real-time accurate weight variation values Qmi of each tray are collected in real time. m is the number of the tray, i is the weight change frequency of each tray in the goods placing process, and the number of the placed goods can be calculated according to the weight change frequency i. S44, a first tray change value judgment step, namely judging whether all the accurate weight change values Qmi of all the trays are 0; if so, returning to the goods type entering step S42; if not, executing the next step. S45, an article weight recording step, when the accurate weight change value Qmi of a tray is a non-zero value, calculating the difference (Qmi-A) between the accurate weight change value Qmi and the standard weight value A of the type of the article; when the ratio of the absolute value | Qmi-A | of the difference value to the standard weight value A of the kind of goods is less than a first preset threshold value (preferably 3% -5%), recording the accurate weight change value Qmi of the tray as the accurate weight value of the goods in the goods database; the article information in S42 further includes an accurate weight value Qmi for each article. The first threshold value of predetermineeing is a certain deviation proportion of the standard weight value A of this kind of goods, if 3% -5% of A, it sets up the mode for the manual work, can change numerical value according to actual conditions, prevents that this kind of goods from typeeing the mistake, prevents that this kind of goods from appearing serious quality problems. S46, a first updating step of a goods database, namely, inputting a real-time accurate weight sensing value of the tray into the goods database to replace the accurate weight value of the tray in the goods database; returning to the goods kind entry step S42.
In goods database construction step S4, can be accurate with the goods information type of each goods extremely in the goods database, especially can realize that the accurate weight value Qmi of each goods corresponds a goods number, a goods number corresponds a goods price, through the accurate weight change value according to the tray of goods shelves with the accurate weight value Qmi contrast of goods in the goods database, alright discern the goods number that the goods that are taken or are put back correspond, this kind of mode relies on the accurate weight value (microgravity parameter) of each goods to discern the goods completely, is irrelevant with the locating place of goods to can not appear because of the wrong goods of taking put and lead to its shopping record to make mistakes and the problem that the shopping settlement makes mistakes, fundamentally has solved the problem that the user leads to its shopping record to make mistakes because of the wrong goods of putting in the shopping.
After the accurate weight value data of the tray in the goods database is updated in step S46, it returns to the goods kind entering step S42, and steps S42 to S46 are repeatedly performed once for every one placed goods. The entry mode can accurately enter the accurate weight value of one goods corresponding to each goods number.
In another improved embodiment, before each kind of goods is placed, the worker scans a bar code or a two-dimensional code of a goods by using a code scanning device, obtains and transmits the goods information of the kind of goods to the electronic device (computer), and stores the goods information in the goods database. Then, the staff puts a plurality of goods of this kind in proper order, and the goods shelves acquire the accurate weight value of each goods in real time, store in the goods database.
In step S42, the item information of one kind of item is entered into the item database, and the item information includes the kind of item, the standard weight value of the item of that kind, and the price of the item, but does not include the item number of the item. In step S43, the items of the type are sequentially placed on a tray of a shelf, the shelf records the item number and the precise weight value of each item according to each change of the weight value of the tray, and the information of other items of the same type is the same. This kind of type mode can enter each accurate weight value of same kind of goods in proper order through the goods kind, has improved the efficiency of the accurate weight value of type goods to the goods price of same kind of goods is the same, the problem that the settlement is makeed mistakes can not appear, simultaneously through the goods serial number of each goods according to tray weight value change condition record by goods shelves, can save the step of artifical registration goods serial number, further improved the efficiency of type goods information.
As shown in fig. 6, in this embodiment, the first collecting step S43 of the tray variation value specifically includes the following steps S431 to S432. S431, a first tray weight acquisition step, namely, putting the goods on a tray of a goods shelf, acquiring a real-time accurate weight induction value Pmi of each tray, wherein m is a tray number, and i is the weight change frequency of each tray in the goods putting process. S432, a first calculating step of tray weight difference, calculating a precise weight change value Qmi of each tray on the shelf, which is a difference value between the real-time precise weight sensing value of each tray and the precise weight value of the tray in the goods database, i.e. Qmi = Pmi-Pm (i-1). Since the accurate weight value Pm0 (m is a pallet number) of each pallet in an empty state is known in the goods database, the accurate weight value of each goods can be calculated according to a recursive method.
Because the price of each kind of goods is the same, when the steps S431-S432 are executed, the kind of the newly added goods can be firstly obtained, and then the difference value Qmi of each accurate weight value of a plurality of newly added goods is continuously obtained based on the kind of the newly added goods and is used as the accurate weight value of each newly added goods to be input into the goods database, so that the accurate weight value information of the newly added goods can be quickly input, and the settlement of the price of the goods cannot be influenced.
In another embodiment, the goods database constructing step S4 may also be a manual entry method, in which a worker uses a high-precision electronic scale to sequentially measure and record a precise weight value of each goods; meanwhile, the goods information such as the goods number, the goods type, the goods price and the like can be manually input; and the shelf number and the tray number for placing each goods can be recorded.
The first collecting step S43 of tray variation values and the second collecting step S5 of tray variation values collect the accurate weight variation value of each tray on a shelf in real time.
As shown in fig. 7, in the present embodiment, the second collecting step S5 of the tray variation value specifically includes the following steps S51-S52. S51, a second tray weight acquisition step, namely acquiring real-time accurate weight induction values of each tray on a shelf in real time. S52, a second calculating step of tray weight difference, calculating an accurate weight change value Qni of each tray in real time, which is a difference value between the real-time accurate weight sensing value of each tray and the accurate weight value of the tray in the goods database, Qni = Pni-Pn (i-1). The real-time accurate weight induction value Pni, n are tray numbers, and i is the weight change times of each tray in the goods placing process. Can acquire the accurate weight change value Qni of each tray like this in proper order, through with through the accurate weight change value Qni of the tray according to the goods shelves with the accurate weight value Qmi contrast of goods in the goods database, alright discern the goods serial number of the goods that are taken or put back, the accurate weight value (microgravity parameter) of this kind of mode dependence each goods comes discernment goods, and is irrelevant with the put position of goods, thereby can not appear leading to its shopping record to make mistakes and the problem that the shopping settlement made mistakes because of the wrong goods of taking by mistake, fundamentally has solved the user and has leaded to its shopping record to make mistakes because of the wrong goods of taking by mistake in the shopping problem. If the gravity of tray and goods when taking place the rapid change in the very short time, weight sensor's response data also can change fast, can't gather accurate weight value, and only under steady state, accurate weight response value can just be gathered to weight sensor. In step S51, when the weight sensing value of a pallet changes, it is determined whether the weight sensor can acquire accurate and stable sensing data, and if so, step S52 is executed; if not, judging that the tray is in an abnormal state, which can be called as an unstable abnormal state; the reasons for this may be that the user's body or personal belongings rest on the shelf, that the user drags or presses the goods on the tray, that there is also a possibility that insects crawl over the tray, etc. These conditions may be considered as tray status abnormality, and an alarm signal is sent, after waiting for a certain time (a preset time period, such as 1-3 seconds), if the abnormal status is eliminated, step S51 is executed again. The alarm signal can be the sound of a buzzer, abnormal reminding or abnormal information recording on a display screen, and is used for reminding a manager or a user.
S6, a second tray change value judgment step, namely judging whether the accurate weight change values Qni of all the trays are all 0; if yes, returning to the second tray change value acquisition step S5; if not, executing the next step. The accurate weight change value of one tray is the accurate weight value of the goods taken away or put back on the tray, if the accurate weight change values of all the trays are all 0, which indicates that no goods are taken away or put back, the procedure returns to step S5 to prepare for next collection; if the accurate weight change value of a certain tray is a non-zero value, it can be determined that a situation where goods or foreign materials, which are articles not belonging to the original goods of the convenience store, are taken away or put back occurs. S7, a pick-and-place state determining step, determining whether the weight variation Qni of the tray is less than 0, if so, determining that the goods are taken away from the tray, and if not, determining that the goods or the articles are put back to the tray.
S8, an article judging step, namely, when the accurate weight change value Qni of a tray is a non-zero value, identifying whether an article is taken away or put back according to the accurate weight change value, and acquiring an article number corresponding to the article.
In this embodiment, step S8 is performed to determine whether the absolute value | Qni | of the accurate weight variation value is the same as the accurate weight value of an item in the item database; if yes, the goods are judged to be the goods which are taken away or put back, and the goods number is obtained. If not, the user can judge that the tray is in an abnormal state, namely a stable abnormal state, if the user places a certain article which does not belong to the convenience store on the tray; optionally, the aforementioned alarm signal is issued to remind the user or convenience store manager to remove the abnormality, and the second collection step S5 of the tray variation value is returned.
In this embodiment, the goods database includes a pallet number of a pallet on which each goods is located; the same kind of goods is placed on the same tray. The article judgment step S8 includes the following two cases: when the accurate weight value of a tray is a negative value, calling the accurate weight value of each goods on the tray from the goods database according to the tray number; judge whether the absolute value of this accurate weight change value equals with the accurate weight value of a goods on this tray, if yes, judge this goods and for the goods of takaging away, acquire the goods number of this goods. When the accurate weight value of one tray is a positive value, judging the identity of the user who puts back the goods; calling a shopping database of the user who puts back the goods; judging whether the absolute value of the accurate weight change value is the same as the accurate weight value of a goods in the shopping database of the user; if yes, the goods are judged to be the goods which are put back, and the goods number of the goods is obtained.
S9, a second updating step of the goods database, namely, storing a real-time accurate weight induction value of the tray to the goods database so as to replace the accurate weight value of the tray in the goods database, returning to the second collecting step S5 of the tray change value, and preparing to monitor the next goods change condition of each shelf. If the weight induction value of a tray is changed unstably, the real-time accurate weight induction value of the tray in the goods database does not need to be updated; if the weight sensing value of a tray is changed stably, no matter whether the change value corresponds to a certain goods in the goods database, no matter whether the goods taken away or put back are the original goods of the convenience store, the accurate weight sensing value of the corresponding tray stored in the goods database needs to be updated in real time.
The abnormal state of the present embodiment refers to the situation where the real-time weight sensing value of the tray is unexpectedly changed, and includes an unstable abnormal state and a stable abnormal state. In an unstable abnormal state, the weight sensor cannot acquire a stable real-time weight sensing value, and the reason for the unstable abnormal state may be that someone intentionally exerts an upward force on a certain article, someone drags the article on the tray, someone leans against or presses the tray, and some insects stay or crawl on the tray. The unstable abnormal state is maintained for a short time, so that the weight sensing value can be collected again after waiting for a period of time and waiting for the abnormal state to be eliminated. In a stable abnormal state, the weight sensor can acquire a stable real-time weight sensing value, but the difference value of the weight change of the tray cannot be matched with any commodity in the commodity database at the moment, the electronic equipment cannot confirm the identity of the commodity, and the commodity is deleted from the shopping database of the user. The reason for the formation of the stable abnormal state may be that the user places a certain item not belonging to a convenience store on the tray, or replaces a portion of the food eaten back to the tray. The stable abnormal state is maintained for a relatively long time, and in this case, the real-time weight sensing value of the pallet may be stored to the goods database to replace the accurate weight value of the pallet in the goods database. No matter whether the abnormal state is eliminated, when other goods of the tray are taken and placed by the user, the electronic equipment can still record correct shopping behaviors, and the experience of other users cannot be influenced.
As shown in fig. 4, in the present embodiment, the article identification method further includes the following steps S21-S24.
And S21, a user identity identification step, namely identifying the identity information of each user. The goods shelves and the trays are arranged in the closed space 1, so that the closed space is made into an unmanned convenience store. Set up the floodgate machine in enclosure 1's access & exit department, set up identity recognition device on the floodgate machine, the preferred two-dimensional code read-write device of this embodiment reads the identity two-dimensional code in the user's cell-phone APP, discerns user identity. The user can bind the electronic payment account number in the mobile phone APP and authorize the electronic payment account number to the convenience store operator, and the operator is allowed to deduct money.
And S22, a shopping database generating step, namely generating the shopping database of the user according to the identity information of the user. The shopping database corresponds to the shopping information of each user, comprises the identity information of the user and the goods information corresponding to the goods taken away by the user, and comprises the type, the quantity and the price of the taken-away goods, so that the convenience store operator can calculate the amount of money to be paid by the user, and the settlement for the client is facilitated.
S23, a shopping user judging step of judging the identity of the user who has removed or replaced the article when the article has been removed or replaced. A large number of three-dimensional cameras are arranged in the closed space of the unmanned convenience store, the position of each user in the convenience store is monitored in real time from the beginning when the user scans codes at an entrance, and a real-time three-dimensional coordinate set of each user is obtained. When the weight of a pallet changes and the user's hand interacts with the shelf, it is determined that the user has taken or replaced the item. The interaction between the hands of the user and the shelf means that the computer judges that the coordinates of the hands of the user coincide with the coordinates of the weight-changed tray, or judges that the hands of the user appear near the weight-changed tray, and the like.
S24, a shopping database updating step, after each item judging step S8, the shopping database of the corresponding user is updated in real time. When goods are taken away, the goods information of the goods is called from the goods database according to the goods number, and the goods information of the goods is recorded in the user shopping database where the goods are taken away; the goods information comprises the goods type, the standard weight value of the goods of the type, the price of the goods and the like; when an item is put back on the shelf, the item information of the item is deleted from the shopping database of the user who put back the item. And the shopping database updating step is used for updating the shopping record of each user in real time according to the real-time shopping behavior of each user, so that the actual shopping situation of each user is completely consistent with the shopping record in the electronic shopping cart, and the settlement of the user is facilitated.
If the convenience store is large in scale, the number of goods is large, the probability that two goods with the same accurate weight values possibly appear in the whole convenience store is also large, and the error rate of computer recognition is improved. Although the conventional weight sensor can acquire a weight value with high precision, the higher the precision of the sensor is, the higher the manufacturing requirement is, the higher the cost is and the higher the price is, and the large number of weight sensors are required in the invention, which brings great cost pressure to an operator of an unmanned convenience store.
The theoretical basis of the above embodiment is that each item of a convenience store has a unique accurate weight value (microgravity parameter), and the computer can effectively distinguish each item according to the accurate weight value. However, in hundreds or thousands of goods in a convenience store, there are cases where accurate weight values of two or more different kinds of goods are the same, which is theoretically possible in spite of a small probability of occurrence, and therefore, the above-described embodiment has a high requirement on the accuracy of the weight sensor to an accurate weight value of 10-2 g or 10-3 g to ensure that each of the goods has a unique accurate weight value. Because whole solution needs to use a large amount of weight sensors, the hardware cost of high accuracy sensor is higher, can cause the cost of whole solution too high, influences the popularization and application of this patent.
In another modified embodiment, the electronic device 10 may determine the identity of the user who puts back the goods, and may adopt a scheme of scanning a code at a door to identify the identity of the user and a scheme of monitoring the position of the user in real time by using a three-dimensional camera. When the coordinate set of the hand of a certain user with known identity coincides with the coordinate set above a tray and the weight sensing value of the tray changes at the same time, the identity of the user taking away or putting back the goods can be judged.
In the modified embodiment, in the goods judging step of S8, when the accurate weight variation value of a tray is less than zero, the electronic device (computer) may judge that there is a goods removed; since the kind of the goods previously placed on each tray is prestored in the goods database, the electronic device (computer) can determine the kind of the goods. For example, a tray can hold goods of the same type, brand and weight; when the weight of the tray becomes lighter, the computer can determine the kind of the goods taken away; and further, judging and recording the goods number of the goods according to the comparison between the accurate weight change value and the accurate weight value of each goods on the tray prestored in the goods database. Further, the identity of the user who removed the item is judged in the shopping-user judging step S23, and the item information of the item is recorded in the shopping database to the user who removed the item in the shopping-database updating step S24.
In the modified embodiment, in the item judgment step of S8, when the accurate weight variation value of a tray is greater than zero, the item judgment step of S8 includes a pick-and-place state judgment step, a shopping user judgment step, a shopping database calling step, and an item judgment step in this order. The electronic equipment (computer) can judge that an article is put back, further judge the identity of the user who puts back the article, call the shopping database of the user who puts back the article, and judge whether the absolute value of the accurate weight change value is the same as the accurate weight value of an article in the shopping database of the user; if so, judging that the article is the returned goods, and acquiring the goods number of the goods; if not, the item is determined to be not the item which is taken from the shelf by the user before, not the item in the local store, and possibly the personal belongings of the user, such as gloves, mobile phones and the like. No matter whether the goods placed on the shelf trays are the goods of the store or not, after the step S8, a second updating step S9 is executed to store the real-time accurate weight sensing value of the tray to the goods database so as to replace the accurate weight value of the tray in the goods database, and the second collecting step S5 for the tray change value is returned to prepare for monitoring the next goods change condition of each shelf. After determining the user 'S identity for replacing the item and the number of the item, a shopping database updating step is performed S24 to delete the item information corresponding to the item from the user' S shopping database.
In the above improved embodiment, the purchase amount of a user in a convenience store is generally only a few or a dozen, at most a dozen, the dozens of goods belong to different categories, wherein the probability of just including two goods with identical microgravity values is less than one ten thousand, and can be completely ignored, so that the accurate weight value of each goods only needs to be accurate to 1 gram or 0.1 gram. In the scheme, the weight sensor with lower precision and lower cost can be utilized, the operation and maintenance cost is effectively saved, the error probability of the computer is further reduced, and the identification precision is improved.
The user may be in the unmanned convenience store, the shopping database may be updated one or more times, and after the at least one shopping database updating step S24, a settlement step is further included for calculating an amount of money to be paid by the user based on the shopping database of the user. When a user finishes shopping and leaves a convenience store, the user cannot be shot by a plurality of cameras in the convenience store, the electronic equipment (computer) can think that the user leaves the convenience store, the consumption amount of the user is calculated according to a shopping database of the user, and as the user is previously bound with an electronic payment account in a mobile phone APP and authorized to allow a convenience store operator to deduct money, the convenience store operator can directly deduct corresponding money from the electronic payment account of the user. The user does not need to queue for settlement, and can directly leave the shopping site after shopping is finished, so that excellent user experience is obtained.
As shown in fig. 8, the electronic device 10 according to the embodiment includes at least one memory 11 and at least one processor 12. A storage medium is provided in the memory 11 for storing executable program code. The processor 12 is connected to the memory 11, and executes a computer program corresponding to the executable program code by reading the executable program code to perform at least one of steps S4-S9, S21-S24 in the item identification method. The invention has the advantages that the invention provides a goods identification system, a goods identification method, a storage medium and an electronic device, by monitoring the accurate weight change value of each tray on the goods shelf in real time and deducing which goods are taken away or put back according to the accurate weight change of all shelf boards on the goods shelf, the number of the goods which are taken away or put back can be judged, even if a plurality of different kinds of goods are placed in the same tray on one shelf, the goods number of the taken or put back goods can be accurately identified, thereby the shopping information of the user can be judged more accurately, the problem of wrong shopping records caused by wrong taking and putting of goods can not occur, the user experience is improved, and even if the previous user mistakenly takes and misplaces the goods, the normal shopping settlement of the next user cannot be influenced, and the problem that the shopping record of the user is wrong due to the fact that the user mistakenly takes and misplaces the goods in the shopping process is fundamentally solved.
The above description is only of the preferred embodiments of the present invention to make it clear for those skilled in the art how to practice the present invention, and these embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications and enhancements can be made without departing from the principles of the invention, and such modifications and enhancements are intended to be included within the scope of the invention.
Claims (16)
1. A method of identifying an item, comprising the steps of:
a goods database construction step of constructing a goods database, the goods databaseIncluding at least one accurate weight value of the goods and at least one accurate weight value of the tray; the accurate weight value is accurate to 10xG, x is an integer, x is more than or equal to-3 and less than or equal to 0;
a second collection step of tray change values, namely collecting the accurate weight change value of each tray on a shelf in real time;
a second tray change value judgment step of judging whether all the accurate weight change values of all the trays are 0; if yes, returning to the second collection step of the tray change value; if not, executing the next step;
a goods judging step, when the accurate weight change value of a tray is a non-zero value, identifying whether goods are taken away or put back according to the accurate weight change value, and acquiring a goods number corresponding to the goods;
and
and a second updating step of the goods database, namely storing the real-time accurate weight induction value of the tray to the goods database so as to replace the accurate weight value of the tray in the goods database, and returning to the second collecting step of the tray change value.
2. The article identification method of claim 1, further comprising the steps of:
a user identity identification step, namely identifying identity information of each user;
a shopping database generating step, namely generating a shopping database of the user according to the identity information of the user; and
a shopping user judging step of judging the identity of the user who takes away or puts back the goods when the goods are taken away or put back.
3. The article identification method according to claim 1,
after each goods judging step, the method further comprises the following steps:
a step of calling goods information, in which the goods information of the goods is called from the goods database according to the goods number; and
a shopping database updating step of recording the goods information of the goods in a shopping database of a user who takes away the goods when the goods are taken away from a tray; when an item is put back to a tray, item information of the item is deleted from a shopping database of a user who puts back the item.
4. The article identification method according to claim 1,
the goods judging step comprises
A pick-and-place state judgment step, which judges whether the accurate weight change value of the tray is less than 0; if yes, determining that goods are taken away from the tray; if not, the goods or the goods are judged to be put back to the tray.
5. The article identification method according to claim 1,
the goods judging step comprises
A goods number judging step of judging whether the absolute value of the accurate weight change value of the tray is equal to the accurate weight value of a goods in the goods database; if so, the goods in the goods database are judged to be the goods which are taken away or put back, and the goods number is obtained.
6. The article identification method according to claim 1,
the goods judging step includes the steps of:
when the accurate weight value of a tray is larger than zero, judging the identity of the user who puts back the article;
calling a shopping database of the user who puts back the item;
judging whether the absolute value of the accurate weight change value is the same as the accurate weight value of a goods in the shopping database of the user; if yes, the article is judged to be the returned article, and the article number of the article is obtained.
7. The article identification method according to claim 1,
the goods database construction step specifically comprises the following steps:
initializing a goods database, namely initializing the goods database, and inputting shelf numbers, tray numbers and accurate weight values of each tray; in an initial state, the accurate weight value of a tray in the goods database is an accurate weight induction value of the tray in a no-goods state;
a goods type inputting step, namely inputting goods information of a goods into the goods database, wherein the goods information comprises a goods number of the goods, the goods type, a standard weight value of the goods of the type and a goods price;
a first collection step of tray variation values, wherein the goods are placed on a tray of a goods shelf, and the accurate weight variation value of each tray is collected in real time;
a first tray change value judgment step of judging whether all the accurate weight change values of all the trays are 0; if yes, returning to the step of inputting the goods type; if not, executing the next step;
a goods weight recording step, when the accurate weight change value of a tray is a non-zero value, recording the accurate weight change value of the tray as the accurate weight value of the goods in the goods database; and
a first updating step of the goods database, namely inputting a real-time accurate weight sensing value of the tray into the goods database so as to replace the accurate weight value of the tray in the goods database; and returning to the step of inputting the goods type.
8. The article identification method according to claim 7,
in the goods weight recording step,
when the accurate weight change value of a tray is a non-zero value, calculating the difference value between the accurate weight change value and the standard weight value of the type of goods;
when the ratio of the absolute value of the difference value to the standard weight value of the type of goods is smaller than a first preset threshold value, the accurate weight change value of the tray is recorded in the goods database as the accurate weight value of the goods.
9. The article identification method according to claim 7,
the first collection step of the tray change value specifically comprises the following steps:
a first tray weight acquisition step, wherein the goods are placed on a tray of a shelf, and a real-time accurate weight induction value of each tray is acquired; and
the method comprises a first calculation step of tray weight difference, wherein a precise weight change value of each tray on the goods shelf is calculated and is a difference value between a real-time precise weight induction value of each tray and a precise weight value of the tray in the goods database.
10. The article identification method according to claim 1,
and a second collection step of tray change values, which specifically comprises the following steps:
a second tray weight acquisition step, namely acquiring a real-time accurate weight induction value of each tray on a shelf in real time; and
and a second calculation step of the weight difference of the trays, namely calculating the accurate weight change value of each tray in real time, wherein the accurate weight change value is the difference value between the real-time accurate weight induction value of each tray and the accurate weight value of the tray in the goods database.
11. The article identification method according to claim 10,
in the second acquisition step of the tray weight,
when the weight induction value of a tray changes, judging whether the weight sensor can acquire accurate and stable induction data, if so, executing a second calculation step of the weight difference of the tray; if not, the tray is judged to be in an abnormal state, and an alarm signal can be optionally sent out.
12. The article identification method according to claim 1,
in the goods judging step, the goods are judged,
judging whether the absolute value of the accurate weight change value of a tray is the same as the accurate weight value of a goods in the goods database; if not, judging that the tray is in an abnormal state; optionally sending out an alarm signal, and returning to the second collection step of the tray change value.
13. The article identification method according to claim 1,
before the goods database building step, the method further comprises the following steps:
a shelf setting step of setting at least one shelf, wherein each shelf comprises a plurality of mutually independent trays;
a sensor setting step, in which a microgravity sensor is arranged below each tray; and
and a goods placing step, placing at least one goods in at least one tray, and placing only one goods at a time.
14. A storage medium storing executable program code which is read by at least one processor to execute a computer program corresponding to the executable program code to perform at least one step of the item identification method according to any one of claims 1 to 12.
15. An electronic device, comprising:
a memory for storing executable program code; and
a processor connected to the memory for executing a computer program corresponding to the executable program code by reading the executable program code to perform the steps of the item identification method according to any of claims 1-12.
16. An item identification system comprising:
the electronic device of claim 15;
at least one shelf, each shelf comprising a plurality of trays independent of each other; and
at least one microgravity sensor arranged below each tray and connected to the electronic equipment;
the microgravity sensor is used for acquiring an accurate weight value of at least one goods and/or an accurate weight value of the tray; the accurate weight value is accurate to 10xG, x is an integer of-3 to 0.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010129658.8A CN111429655A (en) | 2020-02-28 | 2020-02-28 | Goods identification method, goods identification system, storage medium and electronic equipment |
| PCT/CN2021/078316 WO2021170126A1 (en) | 2020-02-28 | 2021-02-27 | Product recognition method, product recognition system, and electronic apparatus |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112529500A (en) * | 2020-12-16 | 2021-03-19 | 石家庄邮电职业技术学院(中国邮政集团有限公司培训中心) | Intelligent shelf system for supermarket |
| CN112634524A (en) * | 2020-12-18 | 2021-04-09 | 江苏生花汇享科技有限公司 | Weighing error correction method of weighing type unmanned vending equipment |
| CN113065824A (en) * | 2021-03-31 | 2021-07-02 | 北京京东振世信息技术有限公司 | Logistics task information processing method, system, device, medium and electronic equipment |
| WO2021170126A1 (en) * | 2020-02-28 | 2021-09-02 | 上海追月科技有限公司 | Product recognition method, product recognition system, and electronic apparatus |
| CN113421376A (en) * | 2021-08-23 | 2021-09-21 | 浙江星星冷链集成股份有限公司 | Unmanned vending system |
| CN113554810A (en) * | 2021-04-22 | 2021-10-26 | 浙江星星冷链集成股份有限公司 | Unmanned vending system |
| CN113554807A (en) * | 2021-04-22 | 2021-10-26 | 浙江星星冷链集成股份有限公司 | Distribution list generation device and unmanned vending system |
| CN113554813A (en) * | 2021-04-22 | 2021-10-26 | 浙江星星冷链集成股份有限公司 | Batch goods-loading management device and unmanned goods-selling system |
| CN113554808A (en) * | 2021-04-22 | 2021-10-26 | 浙江星星冷链集成股份有限公司 | Loading management device and unmanned vending system |
| CN113554809A (en) * | 2021-04-22 | 2021-10-26 | 浙江星星冷链集成股份有限公司 | Commodity information updating device and unmanned vending system |
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| WO2021170126A1 (en) * | 2020-02-28 | 2021-09-02 | 上海追月科技有限公司 | Product recognition method, product recognition system, and electronic apparatus |
| CN112529500A (en) * | 2020-12-16 | 2021-03-19 | 石家庄邮电职业技术学院(中国邮政集团有限公司培训中心) | Intelligent shelf system for supermarket |
| CN112634524A (en) * | 2020-12-18 | 2021-04-09 | 江苏生花汇享科技有限公司 | Weighing error correction method of weighing type unmanned vending equipment |
| CN112634524B (en) * | 2020-12-18 | 2022-07-08 | 江苏生花汇享科技有限公司 | Weighing error correction method for weighing type unmanned vending equipment |
| CN113065824A (en) * | 2021-03-31 | 2021-07-02 | 北京京东振世信息技术有限公司 | Logistics task information processing method, system, device, medium and electronic equipment |
| CN113554807A (en) * | 2021-04-22 | 2021-10-26 | 浙江星星冷链集成股份有限公司 | Distribution list generation device and unmanned vending system |
| CN113554810A (en) * | 2021-04-22 | 2021-10-26 | 浙江星星冷链集成股份有限公司 | Unmanned vending system |
| CN113554813A (en) * | 2021-04-22 | 2021-10-26 | 浙江星星冷链集成股份有限公司 | Batch goods-loading management device and unmanned goods-selling system |
| CN113554808A (en) * | 2021-04-22 | 2021-10-26 | 浙江星星冷链集成股份有限公司 | Loading management device and unmanned vending system |
| CN113554809A (en) * | 2021-04-22 | 2021-10-26 | 浙江星星冷链集成股份有限公司 | Commodity information updating device and unmanned vending system |
| CN113554813B (en) * | 2021-04-22 | 2023-06-06 | 浙江星星冷链集成股份有限公司 | Batch shipment management device and unmanned vending system |
| CN113554808B (en) * | 2021-04-22 | 2023-09-29 | 浙江星星冷链集成股份有限公司 | Cargo management device and unmanned vending system |
| CN113421376B (en) * | 2021-08-23 | 2021-12-28 | 浙江星星冷链集成股份有限公司 | Unmanned vending system |
| CN113421376A (en) * | 2021-08-23 | 2021-09-21 | 浙江星星冷链集成股份有限公司 | Unmanned vending system |
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| WO2021170126A1 (en) | 2021-09-02 |
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