CN108109293A - A kind of commodity anti-theft settlement method, device and electronic equipment - Google Patents
A kind of commodity anti-theft settlement method, device and electronic equipment Download PDFInfo
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- CN108109293A CN108109293A CN201810005544.5A CN201810005544A CN108109293A CN 108109293 A CN108109293 A CN 108109293A CN 201810005544 A CN201810005544 A CN 201810005544A CN 108109293 A CN108109293 A CN 108109293A
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- end article
- user
- commodity
- image
- attribute
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G1/00—Cash registers
- G07G1/0036—Checkout procedures
- G07G1/0045—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G3/00—Alarm indicators, e.g. bells
- G07G3/003—Anti-theft control
Abstract
The present invention relates to unmanned shop technical field, more particularly to a kind of commodity anti-theft settlement method, device and electronic equipment.Wherein, which includes：In clearing, the label information and commodity image of the end article of user are obtained；According to the label information of end article, the preset reference image of end article is determined；When commodity image does not match preset reference image, pause clearing end article.Therefore, in clearing, it can effectively prevent to replace the pilferage behavior of label, so that clearing are more accurate, avoid causing damages.
Description
Technical field
The present invention relates to unmanned shop technical field, more particularly to a kind of commodity anti-theft settlement method, device and electronics
Equipment.
Background technology
At present, general shop can all have shop-assistant either cashier by shop-assistant or cashier come settle accounts user purchase
The commodity bought.It however, when the number of users for buying commodity is more, is often required for being lined up, so that longer with needing to spend
Time checkout, in addition, also needing to provide the cost of labor of shop-assistant or cashier.
Therefore, to solve the above-mentioned problems, occur unmanned shop in the prior art, that is to say there is no shop-assistant or
The shop of cashier when user chooses commodity and prepares departure, identifies user identity and is read by RFI D read-write equipments
The merchandise news chosen at family and its corresponding price are taken, so as to deduct the corresponding amount of money automatically in the corresponding account of the user.
Inventor in the implementation of the present invention, it is found that traditional technology has at least the following problems：Due to unmanned shop
Unattended, user consumes into shop, when there are some nonstandard consumer behaviors, such as exchanges the label of two commodity, for example,
The label of cheap commodity A is attached on expensive commodity B, the label of expensive commodity B is attached to price
On cheap commodity A, user holds commodity B to the clearing of clearing area, so as to cause damages.Therefore, conventional solution has not been able to
Constraint is made to such pilferage behavior.
The content of the invention
One purpose of the embodiment of the present invention is intended to provide a kind of commodity anti-theft settlement method, device and electronic equipment,
Solve the technical issues of traditional technology has not been able to effectively prevent to replace the pilferage behavior of label in clearing.
In order to solve the above technical problems, the embodiment of the present invention provides following technical scheme：
In a first aspect, the embodiment of the present invention discloses a kind of commodity anti-theft settlement method, applied to unmanned shop, the side
Method includes：
In clearing, the label information and commodity image of the end article of user are obtained；
According to the label information of the end article, the preset reference image of the end article is determined；
When the commodity image does not match the preset reference image, the end article is settled accounts in pause.
Optionally, after the end article is settled accounts in pause, the method further includes：
Obtain shopping image of the user in the unmanned shop before settling accounts；
According to image analysis algorithm, judge that user is with the presence or absence of the original tag for replacing end article in the shopping image
Behavior；
If in the presence of generation alarm signal；
If not existing, the user is prompted to select commodity else again.
Optionally, after alarm signal is generated, the method further includes：
Reduce the credit rating of the user.
Optionally, after the end article is settled accounts in pause, the method further includes：
According to the label information of the end article, the appearance deformation attribute of the end article is determined；
According to the appearance deformation attribute of the end article, the settlement operations of the end article are re-executed.
Optionally, the appearance deformation attribute includes appearance mutability attribute and appearance invariable attribute；
The appearance deformation attribute according to the end article re-executes the settlement operations of the end article, bag
It includes：
Judge the classification of the appearance deformation attribute of the end article；
If the appearance deformation attribute of the end article is appearance mutability attribute, the weight of the end article is obtained, and
The settlement operations of the end article are performed according to the weight of the end article；
If the appearance deformation attribute of the end article is appearance invariable attribute, the end article is settled accounts in pause.
Optionally, the settlement operations that the end article is performed according to the weight of the end article, including：
Judge whether the weight of the end article is located in preset weight threshold range；
If being located at, the end article is settled accounts；
If being not located at, the end article is settled accounts in pause.
In second aspect, the embodiment of the present invention provides a kind of commodity anti-theft checkout apparatus, applied to unmanned shop, the dress
Put including：
First acquisition module, in clearing, obtaining the label information and commodity image of the end article of user；
Determining module for the label information according to the end article, determines the preset reference figure of the end article
Picture；
Suspend settlement module, described in when the commodity image does not match the preset reference image, pause is settled accounts
End article.
Optionally, described device further includes：
Second acquisition module, for obtaining shopping image of the user in the unmanned shop before clearing；
Judgment module, for according to image analysis algorithm, judging that user is with the presence or absence of replacement target in the shopping image
The behavior of the original tag of commodity；
Generation module, if in the presence of generation alarm signal；
If reminding module for not existing, prompts the user to select commodity else again.
Optionally, described device further includes：
Module is reduced, for reducing the credit rating of the user.
In the third aspect, the embodiment of the present invention provides a kind of electronic equipment, and the electronic equipment includes：At least one processing
Device；And the memory being connected at least one processor communication；Wherein, the memory storage have can by it is described at least
The instruction that one processor performs, described instruction is performed by least one processor, so that at least one processor
It is able to carry out any one of them method.
In fourth aspect, the embodiment of the present invention provides a kind of non-transient computer readable storage medium storing program for executing, the non-transient meter
Calculation machine readable storage medium storing program for executing is stored with computer executable instructions, and the computer executable instructions are used to perform electronic equipment
As above any one of them method.
In the commodity anti-theft settlement method provided in each embodiment of the present invention, in clearing, the target business of user is obtained
The label information and commodity image of product according to the label information of end article, determine the preset reference image of end article, in business
When product image does not match preset reference image, pause clearing end article.Therefore, in clearing, can effectively prevent to replace
The pilferage behavior of label so that clearing are more accurate, avoids causing damages.
Description of the drawings
One or more embodiments are illustrated by the picture in corresponding attached drawing, these exemplary theorys
The bright restriction not formed to embodiment, the element for having same reference numbers label in attached drawing are expressed as similar element, remove
Non- have a special statement, and composition does not limit the figure in attached drawing.
Fig. 1 is that the embodiment of the present invention provides a kind of structure diagram in unmanned shop；
Fig. 2 is a kind of structure diagram in unmanned shop provided in an embodiment of the present invention；
Fig. 3 is that the embodiment of the present invention provides a kind of flow diagram of commodity anti-theft settlement method；
Fig. 4 is that another embodiment of the present invention provides a kind of flow diagram of commodity anti-theft settlement method；
Fig. 5 is that still another embodiment of the present invention provides a kind of flow diagram of commodity anti-theft settlement method；
Fig. 6 is that still another embodiment of the present invention provides a kind of flow diagram of commodity anti-theft settlement method；
Fig. 7 is the flow diagram of step 40 in Fig. 6；
Fig. 8 is that the embodiment of the present invention provides a kind of structure diagram of anti-theft device for commodities；
Fig. 9 is that another embodiment of the present invention provides a kind of structure diagram of anti-theft device for commodities；
Figure 10 is that still another embodiment of the present invention provides a kind of structure diagram of anti-theft device for commodities；
Figure 11 is the structure diagram that the embodiment of the present invention provides a kind of electronic equipment.
Specific embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, it is right
The present invention is further elaborated.It should be appreciated that specific embodiment described herein is only to explain the present invention, not
For limiting the present invention.
Referring to Fig. 1, Fig. 1, which is the embodiment of the present invention, provides a kind of structure diagram in unmanned shop.It as shown in Figure 1, should
Unmanned shop 100 is equipped with checkout area 10 and commodity area, and for putting commodity, checkout area 10 is used to carry out commodity in commodity area
Clearing, the checkout area 10 are equipped with first outlet 11 and second outlet 12, when first outlet 11 is opened, checkout area 10 and business
Product area connects, and user can be from commodity area into the checkout area 10, and when second outlet 12 is opened, user can be from checkout area
The external environment in unmanned shop 100 is walked in domain 10, leaves unmanned shop.
Optionally, which is Z-shaped shape, and the first outlet 11 and second outlet 12 are separately positioned on " Z "
The checkout area of shape.
The unmanned shop 100 is additionally provided with entrance, which is used to that user to be made to enter the unmanned shop 100, and the entrance
Only user is allowed to enter.
Also referring to Fig. 1 and Fig. 2, which further includes sensor 20, camera 30, radio frequency read-write equipment
40 and processor 50.
Wherein, sensor 20, camera 30 and radio frequency read-write equipment 40 distinguish connection processing device 50.
Sensor 20 is specifically used for the inductive signal that whether there is user in the predeterminable area of detection first outlet 11, when this
There are during user, that is, trigger the inductive signal to generate in predeterminable area.The predeterminable area is specifically to go out in commodity area close to first
The region of mouth 11, user only could enter checkout area 10 by the region.Therefore, when detect in predeterminable area exist use
During the inductive signal at family, that is, indicate that user wants to leave unmanned shop, and its current state is checkout area 10 to be entered.
Camera 30 includes multiple, and is arranged in unmanned shop 100, is specifically located in checkout area 10, the
At one outlet 11, at second outlet 12, the entrance in unmanned shop 100 and commodity area etc..The camera 30 is used to gather
User images, and the user images collected are sent to processor 50.
In some embodiments, camera 30 can carry out movement locus tracking to same user.For example, when unmanned shop
100 entrance takes user A into behind unmanned shop, according to zone of action of the user A in unmanned shop 100, by this
The corresponding camera 30 in region shoots the image of user A, until user A leaves the unmanned shop 100, just terminates to user A
Image Acquisition, can be according to the sequencing of Image Acquisition after obtaining all images of the user A in unmanned business's In-store Events
The movement locus of user A is analyzed, so as to accurately identify user A according to the movement locus and analyze what user A was bought
Classification of commodity etc..
Radio frequency read-write equipment 40 is additionally operable to reading user and is bought for identifying with the presence or absence of commodity in checkout area
Commodity information, which includes commodity price, commodity name, merchandise classification etc..The radio frequency read-write equipment 40 will be read
To merchandise news be sent to processor 50.The radio frequency read-write equipment 40 can be specifically RFID reader.
The relevant information that processor 50 sends for receiving sensor 20, camera 30 and radio frequency read-write equipment 40, and
And these relevant informations are handled.Processor 50 in the present embodiment is specifically used for the problem of processing is settled accounts automatically.
It specifically, will when sensor 20 is detected in the predeterminable area of first outlet 11 there are after the inductive signal of user
The inductive signal is sent to processor 50, at this point, processor 50 controls camera 30 to gather the firstth area in the checkout area 10
The first area image collected is sent to processor 50 by area image, camera 30.Processor 50 is used for according to firstth area
Area image, judge in checkout area 10 whether someone；If nobody, the door of control first outlet 11 is opened and control is taken the photograph
As the second area image of the first 30 acquisition checkout areas 10, and the second area image is obtained, so as to according to described
Second area image judges whether there was only a user in the checkout area 10；An if only use in checkout area 10
Family, and detect that there are the door of first outlet 11 during commodity, is then controlled to close in checkout area 10 by radio frequency read-write equipment 40
The facial characteristics of the user is closed and obtained, and the account of the user is obtained according to the facial characteristics and is passed through
The radio frequency read-write equipment 40 obtains the merchandise news and its corresponding price that the user chooses；According to the price from institute
It states and the corresponding amount of money is deducted in the account of user, and the door of the second outlet 12 is controlled to open.Herein, only settling accounts
Region 10 is interior to only have a user and there are during commodity, and the just corresponding checkout of execution operates, and passes through face when settling accounts
It identifies to identify active user, so as to accurately identify user, to ensure that checkout is more accurate.
As previously mentioned, anyone is bound bank card, can be done shopping into shop by register account number.When consumer behavior is compared
When severe user implements illegal act in shop, kept an eye on since unmanned shop lacks special messenger, such user is different by exchanging
The label of commodity, the real price paid when being settled accounts with escaping, so as to cause damages.
Based on this, the embodiment of the present invention provides a kind of commodity anti-theft settlement method, applied to unmanned shop.Referring to Fig. 3,
Fig. 3 is that the embodiment of the present invention provides a kind of flow diagram of commodity anti-theft settlement method.As shown in figure 3, the commodity anti-theft knot
Calculation method 300 includes：
Step 31, in clearing, obtain the label information and commodity image of the end article of user；
In the present embodiment, after user has chosen end article, end article is settled accounts into checkout area.Its
In, user can choose the clearing of more than one piece end article, this sentences an end article and is used as elaboration for example.
During normal consumption, unmanned every commodity in shop are all pasted with label information, label information be packaged with the trade name,
Number, model, price, weight etc..Wherein, the label information of commodity can be obtained by radio frequency read-write equipment.
During clearing, radio frequency read-write equipment reads the label information of end article, and label information is transmitted to processor, locates
It manages device and then gets the label information of end article.Further, camera can shoot user positioned at knot from all angles
The commodity image in account region, and commodity image is transmitted to processor, processor and then the commodity image for getting end article,
Wherein, which includes the image of end article.
Step 32, the label information according to end article determine the preset reference image of end article；
In the present embodiment, background data base prestores the corresponding merchandise news of label information of every class commodity, wherein, it should
Merchandise news includes preset reference image and all kinds of specification informations that commodity are located under all angles.When processor gets target
After the label information of commodity, then, processor traversal background data base travels through out and the label information pair out of background data base
The preset reference image answered.
Step 33, when commodity image does not match preset reference image, pause clearing end article.
In the present embodiment, processor extracts each figure of end article in commodity image according to image analysis algorithm
As characteristic point, each image characteristic point of end article is matched with the image characteristic point of preset reference image, if judging
Do not match preset reference image to commodity image, that is, there are abnormal conditions, then, pause clearing mesh for current end article
Mark commodity.If commodity image matching preset reference image is determined, that is, current end article is real, then, is started
Settle accounts end article.
It therefore, will be expensive when the label of cheap commodity A is attached on expensive commodity B by user
The label of commodity B is attached on cheap commodity A, and user holds commodity B to during the clearing of clearing area, and processor is judged currently
The commodity image of commodity B do not match the preset reference image of commodity A, then, the clearing of pause commodity B.Therefore, use is such
Method can effectively prevent to replace the pilferage behavior of label, so that clearing are more accurate, avoid causing damages.
Such as aforementioned schemes, when user A holds the end article a1 clearing that label information has been replaced, pause clearing can be run into
's.However, for the user A, the behavior for replacing the label information of end article a1 is not necessarily what user A was implemented, can be
What user B was implemented.Therefore, in order to avoid error evaluation user, in some embodiments, after end article is settled accounts in pause,
As shown in figure 4, the commodity anti-theft settlement method 300 further includes：
Step 34 obtains shopping image of the user in unmanned shop before clearing；
In the present embodiment, the period institute that processor can be with calling and obtaining user between into unmanned shop before the clearing
Corresponding shopping image.
Step 35, according to image analysis algorithm, user is with the presence or absence of replacing the original of end article in the image that judges to do shopping
The behavior of label；
In the present embodiment, manager has prestored in background data base and has had with the behavior of the original tag of replacement end article
Whole behavioural characteristic points of pass, for example, user tears the behavior of the label of commodity, processor is according to image analysis algorithm, from purchase
When judging that the tearing behavior of the user is matched with the behavioural characteristic point to prestore in object image, it can assert that user exists and replace
The behavior of the original tag of end article.
If step 36, in the presence of, generate alarm signal；
In the present embodiment, if user has the behavior for the original tag for replacing end article, then, alarm signal is just started
Number, which includes such as jingle bell, flashing light, contact manager etc..
If step 37 does not exist, user is prompted to select commodity else again.
In the present embodiment, if user does not have the behavior for the original tag for replacing end article, then, can pass through
The display screen prompting user for settling accounts region selects commodity else again, and recycles end article.
Obviously, when user implements to replace the behavior of original tag in person, unmanned shop is provided using more radical mode
Alarm signal.When user is not to implement to replace the behavior of original tag, unmanned shop hommization mode prompts user again another
Select commodity.Therefore, such method more human nature can evaluate the consumer behavior of user exactly, avoid disappearing for error evaluation user
Take behavior.
Further, for implement in person replace original tag behavior user, in order to make punishment to this class behavior,
It is allowed to learn a lesson.In some embodiments, after step 36, as shown in figure 5, the commodity anti-theft settlement method 300 further includes：
Step 38, the credit rating for reducing user.
Generally, in order to limit the more severe user of consumer behavior, in the present embodiment, can build one's credit system
Degree, constrains consumer behavior of such user in unmanned shop, to safeguard the operating environment in unmanned shop by credit system.
Each registered user all corresponds to a credit rating, and the credit rating of each registered user can be identical, can also be different.
Manager can formulate credit policy according to business demand, to adjust the credit rating of user according to the consumer behavior of user.Citing
For, when specification is compared in the multiple consumer behavior of user, improve the credit rating of user.When one or many consumption rows of user
During to lack specification, the credit rating of user is reduced.Further, when the credit rating of user is less than default credit threshold, limitation
The user enters unmanned shopping.However, traditional technology also lacks relevant institutions to constrain such consumer, for example, lacking
Credit system is to constrain consumer behavior of the consumer in unmanned shop.
Each user all has corresponding credit rating, the account binding of the credit rating and user.Due to the consumption of each user
Behavior, shopping environment are all different, and therefore, the credit rating of each user can differ.For example, purchases of the user A in unmanned shop
Object frequency is high, and specification is compared in consumer behavior always, and the credit rating of user A is 150 points.User B is in the shopping in unmanned shop
Frequency is low, and specification is compared in consumer behavior always, and the credit rating of user B is 90 points.User C is in the shopping frequency in unmanned shop
Height, but its consumer behavior is often lack of standardization, the credit rating of user C is 100 points.Shopping frequencies of the user D in unmanned shop is low,
And its consumer behavior is often lack of standardization, and the credit rating of user D is 80 points.Shopping frequencies of the user E in unmanned shop is low, and
Its consumer behavior is lack of standardization always, and the credit rating of user D is 50 points.
The credit rating of each user can be stored in background server, can be with when transferring the credit rating of corresponding user
According to the identity information of user, the account of user and credit rating corresponding with account are determined.
Therefore, when user implements the behavior of replacement original tag in person, processor obtains the credit rating of the user, and reduces
The credit rating of the user.Further, processor judges whether the credit rating of the user after reducing is more than default credit threshold；If
It is less than, user is forbidden to enter unmanned shop；If more than open user enters unmanned shop.
For some commodity, since its shape is easily deformed, if relying only on the mode of graphical analysis to judge commodity image
Preset reference image whether is matched, easily generates erroneous judgement.Therefore, in order to provide the accuracy of judgement, in some embodiments,
As shown in fig. 6, after pause clearing end article, which further includes：
Step 39, the label information according to end article determine the appearance deformation attribute of end article；
Step 40, the appearance deformation attribute according to end article re-execute the settlement operations of end article.
In the present embodiment, after settlement operations are performed according to commodity image, become also according to the appearance of end article
Shape attribute is to perform settlement operations.Wherein, appearance deformation attribute is used to evaluate the difficulty of the appearance deformation of commodity, including outer
See variable attribute and appearance invariable attribute, wherein, appearance mutability attribute see the packing material of such as packed snacks, fabric commodity,
Packing material of soft commodity etc..Appearance invariable attribute is see the packing material of such as canned-matter, the packing material etc. of hard commodity.
As previously mentioned, for the commodity of appearance mutability attribute, since its appearance easily changes, dependent on image analysis algorithm
Determine whether commodity image matches the preset reference image, on the one hand, difficulty is high, and on the other hand, judging nicety rate is low.Cause
This, can be by detecting the weight of end article with auxiliary judgment in order to improve judging nicety rate.Therefore, implement at some
In example, as shown in fig. 7, step 40 includes：
Step 401, judge end article appearance deformation attribute classification；
If the appearance deformation attribute of step 402, end article is appearance mutability attribute, the weight of end article is obtained, and
According to the settlement operations of the weight performance objective commodity of end article；
If the appearance deformation attribute of step 403, end article is appearance invariable attribute, pause clearing end article.
In the present embodiment, each user hold the end article of appearance mutability attribute mode it is different from dynamics, cause
Appearance of different shapes is presented in the end article of appearance mutability attribute.But no matter the end article of appearance mutability attribute is presented
Which kind of appearance, weight are all equal to preset weight.For example, the packing material of potato chips is easily deformed, but per one kind
The weight of potato chips is equal.Then, by detect potato chips weight can the auxiliary judgment end article authenticity.
For the end article of appearance invariable attribute, since its appearance is not allowed yielding, pass through image analysis algorithm
To know exactly.
In some embodiments, during the settlement operations according to the weight performance objective commodity of end article,
It may determine that whether the weight of end article is located in preset weight threshold range, if being located at, settle accounts end article；If non-position
In pause clearing end article.
Therefore, using such method, the authenticity of end article can be judged exactly, and then effectively prevents to replace
The pilferage behavior of label so that clearing are more accurate, avoids causing damages.
As the another aspect of the embodiment of the present invention, the embodiment of the present invention provides a kind of commodity anti-theft checkout apparatus, application
In unmanned shop.Referring to Fig. 8, Fig. 8, which is the embodiment of the present invention, provides a kind of structure diagram of anti-theft device for commodities.Such as Fig. 8
Described, which includes：First acquisition module 81, determining module 82 and pause settlement module 83.
First acquisition module 81 is used to, in clearing, obtain the label information and commodity image of the end article of user；
Determining module 82 is used for the label information according to end article, determines the preset reference image of end article；
Suspend settlement module 83 to be used for when commodity image does not match preset reference image, pause clearing end article.
Therefore, using such method, can effectively prevent to replace the pilferage behavior of label, so that clearing are more accurate
Really, avoid causing damages.
In some embodiments, as shown in figure 9, the anti-theft device for commodities 800 further includes：Second acquisition module 84 judges
Module 85, generation module 86 and reminding module 87.
Second acquisition module 84 is for shopping image of the user in the unmanned shop before acquisition clearing；
Judgment module 85 is used for according to image analysis algorithm, judges that user is with the presence or absence of replacement end article in shopping image
Original tag behavior；
If generation module 86 is used in the presence of generation alarm signal；
If reminding module 87 prompts user to select commodity else again for not existing.
In some embodiments, as shown in Figure 10, which further includes：Reduce module 88.
Reduce credit rating of the module 88 for reducing user.
Since device embodiment and embodiment of the method are based on same design, on the premise of content does not conflict mutually, fill
The content for putting embodiment can be with quoting method embodiment, and this will not be repeated here.
As the another aspect of the embodiment of the present invention, the embodiment of the present invention provides a kind of electronic equipment.As shown in figure 11, should
Electronic equipment 900 includes：One or more processors 91 and memory 92.Wherein, in Figure 11 by taking a processor 91 as an example.
Processor 91 can be connected with memory 92 by bus or other modes, to be connected as by bus in Figure 11
Example.
Memory 92 is used as a kind of non-volatile computer readable storage medium storing program for executing, available for storage non-volatile software journey
Sequence, non-volatile computer executable program and module, as the commodity anti-theft settlement method in the embodiment of the present invention is corresponding
Program instruction/module.Processor 91 is stored in non-volatile software program, instruction and mould in memory 92 by operation
Block, so as to perform commodity anti-theft settlement method as shown in FIG. 3 to 7 or be filled as Fig. 8 to commodity anti-theft shown in Fig. 10 is settled accounts
The various function application put and data processing.
Memory 92 can include high-speed random access memory, can also include nonvolatile memory, for example, at least
One disk memory, flush memory device or other non-volatile solid state memory parts.In some embodiments, memory 92
It is optional including compared with the remotely located memory of processor 91, these remote memories can pass through network connection to processor
91.The example of above-mentioned network includes but not limited to internet, intranet, LAN, mobile radio communication and combinations thereof.
Described program instruction/module is stored in the memory 92, is held when by one or more of processors 91
During row, the commodity anti-theft settlement method in above-mentioned any means embodiment is performed, for example, so as to perform business as shown in FIG. 3 to 7
The antitheft settlement method of product or if Fig. 8 is at the various function application and data of commodity anti-theft checkout apparatus shown in Fig. 10
Reason.
The embodiment of the present invention additionally provides a kind of non-transient computer readable storage medium storing program for executing, and the non-transient computer is readable
Storage medium is stored with computer executable instructions, and the computer executable instructions are as above any for performing electronic equipment
Commodity anti-theft settlement method described in.
Therefore, using such method, can effectively prevent to replace the pilferage behavior of label, so that clearing are more accurate
Really, avoid causing damages.
Device or apparatus embodiments described above be only schematical, illustrates wherein described as separating component
Unit module may or may not be physically separate, and the component shown as modular unit can be or also may be used
Not to be physical location, you can be located at a place or can also be distributed on multiple network module units.It can basis
It is actual to need that some or all of module therein is selected to realize the purpose of this embodiment scheme.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It is realized by the mode of software plus general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, above-mentioned technology
Scheme substantially in other words can be embodied the part that correlation technique contributes in the form of software product, the computer
Software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including some instructions to
So that computer equipment (can be personal computer, server either network equipment etc.) perform each embodiment or
Method described in some parts of embodiment.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；At this
It under the thinking of invention, can also be combined between the technical characteristic in above example or different embodiment, step can be with
It is realized with random order, and there are many other variations of different aspect present invention as described above, for simplicity, they do not have
Have and provided in details；Although the present invention is described in detail with reference to the foregoing embodiments, the ordinary skill people of this field
Member should be understood：It can still modify to the technical solution recorded in foregoing embodiments or to which part skill
Art feature carries out equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is not made to depart from each reality of the application
Apply the scope of a technical solution.
Claims (10)
1. a kind of commodity anti-theft settlement method, applied to unmanned shop, which is characterized in that the described method includes：
In clearing, the label information and commodity image of the end article of user are obtained；
According to the label information of the end article, the preset reference image of the end article is determined；
When the commodity image does not match the preset reference image, the end article is settled accounts in pause.
2. according to the method described in claim 1, it is characterized in that, after the pause clearing end article, the method is also
Including：
Obtain shopping image of the user in the unmanned shop before settling accounts；
According to image analysis algorithm, judge that user is with the presence or absence of the row for the original tag for replacing end article in the shopping image
For；
If in the presence of generation alarm signal；
If not existing, the user is prompted to select commodity else again.
3. according to the method described in claim 2, it is characterized in that, after alarm signal is generated, the method further includes：
Reduce the credit rating of the user.
4. method according to any one of claims 1 to 3, which is characterized in that after the end article is settled accounts in pause, institute
The method of stating further includes：
According to the label information of the end article, the appearance deformation attribute of the end article is determined；
According to the appearance deformation attribute of the end article, the settlement operations of the end article are re-executed.
5. according to the method described in claim 4, it is characterized in that, the appearance deformation attribute is including appearance mutability attribute and outside
See invariable attribute；
The appearance deformation attribute according to the end article re-executes the settlement operations of the end article, including：
Judge the classification of the appearance deformation attribute of the end article；
If the appearance deformation attribute of the end article is appearance mutability attribute, the weight of the end article is obtained, and according to
The weight of the end article performs the settlement operations of the end article；
If the appearance deformation attribute of the end article is appearance invariable attribute, the end article is settled accounts in pause.
6. according to the method described in claim 5, it is characterized in that, described perform the mesh according to the weight of the end article
The settlement operations of commodity are marked, including：
Judge whether the weight of the end article is located in preset weight threshold range；
If being located at, the end article is settled accounts；
If being not located at, the end article is settled accounts in pause.
7. a kind of commodity anti-theft checkout apparatus, applied to unmanned shop, which is characterized in that described device includes：
First acquisition module, in clearing, obtaining the label information and commodity image of the end article of user；
Determining module for the label information according to the end article, determines the preset reference image of the end article；
Suspend settlement module, for when the commodity image does not match the preset reference image, the target to be settled accounts in pause
Commodity.
8. device according to claim 7, which is characterized in that described device further includes：
Second acquisition module, for obtaining shopping image of the user in the unmanned shop before clearing；
Judgment module, for according to image analysis algorithm, judging that user is with the presence or absence of replacement end article in the shopping image
Original tag behavior；
Generation module, if in the presence of generation alarm signal；
If reminding module for not existing, prompts the user to select commodity else again.
9. device according to claim 8, which is characterized in that described device further includes：
Module is reduced, for reducing the credit rating of the user.
10. a kind of electronic equipment, which is characterized in that including：
At least one processor；And
The memory being connected at least one processor communication；Wherein,
The memory storage has the instruction that can be performed by least one processor, and described instruction is by least one place
It manages device to perform, so that at least one processor is able to carry out claim 1 to 6 any one of them method.
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