CN109948538A - The visual identity method, apparatus and automatic vending machine of Behavior-based control detection - Google Patents
The visual identity method, apparatus and automatic vending machine of Behavior-based control detection Download PDFInfo
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- CN109948538A CN109948538A CN201910209592.0A CN201910209592A CN109948538A CN 109948538 A CN109948538 A CN 109948538A CN 201910209592 A CN201910209592 A CN 201910209592A CN 109948538 A CN109948538 A CN 109948538A
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Abstract
This application discloses the visual identity method, apparatus and automatic vending machine of a kind of detection of Behavior-based control.Wherein, method includes: that the movement of the cabinet door of automatic vending machine is opened in response to user, obtains the first image of article in the automatic vending machine, the first image is sent to server；Detect user behavior signal；In the case where the user behavior signal meets preset condition, obtain the second image of article in the automatic vending machine, second image is sent to server, so that the article that server buys the user based on the first image and second image identifies.This method can be shot according to user behavior, judge that user buys the type and quantity of commodity by the variation of shelf contents caused by detection user behavior.This method can substantially reduce the quantity of shooting image, and then calculation amount needed for reduction image analysis, mitigate automatic vending machine data and upload the pressure for carrying out data analysis with server.
Description
Technical field
This application involves behavioral analysis technology field, a kind of visual identity method detected more particularly to Behavior-based control,
Device and automatic vending machine detect the method, apparatus for improving visual identity commodity efficiency more particularly, to a kind of Behavior-based control
And automatic vending machine.
Background technique
The core of commodity visual identity is to be serviced photo upload to identification by taking pictures to commodity, identification service basis
Trained identification model, which commodity is inferred has in the picture.Currently, existing commodity recognition method is: using fixed
When acquisition commodity picture and upload to identification service carry out commodity identification.The drawbacks of this method, is: first, timing acquiring when
Between interval be the limitation for seriously affecting business.The time interval setting of timing acquiring is excessive, causes to identify that service receives quotient
The time of product picture is elongated, and the time so as to cause final recognition result is elongated；The time interval setting of timing acquiring is too small,
Cause the pressure of identification service and other operation systems to increase, the problem of so as to cause other, such as needs to increase other servers
Quantity, cost.Second, network flow is wasted, under using scenes such as 4G, WIFI, flow is very valuable, timing acquiring picture
Some useless pictures can be uploaded to identification service, flow depletion rate is too fast, leads to increased costs.Third leads to user
Perception sets unstable result.Because taking pictures upload by timing, will lead to user during taking commodity, hand or its
Part commodity have been blocked at his position, take pictures upload to identification service at this time, since commodity are blocked, so identification service is to the figure
The recognition result inaccuracy of picture.
Summary of the invention
Aiming to overcome that the above problem or at least being partially solved or extenuate for the application solves the above problems.
According to the first aspect of the application, a kind of visual identity method of Behavior-based control detection is provided, is applied to certainly
Dynamic vending machine, comprising:
First image acquisition step: the movement of the cabinet door of automatic vending machine is opened in response to user, obtains the automatic selling
The first image of article, is sent to server for the first image in cargo aircraft；
User behavior signal detection step: detection user behavior signal, wherein the user behavior signal includes following letter
At least one of number: action signal of the user in the cabinet body of automatic vending machine, article on the shelf of the automatic vending machine
Weight change signal；
Second image acquisition step: it in the case where the user behavior signal meets preset condition, obtains described automatic
Second image is sent to server by the second image of article in vending machine, so that server is based on the first image
The article bought with second image to the user identifies.
This method can be shot according to user behavior, be sentenced by the variation of shelf contents caused by detection user behavior
Disconnected user buys the type and quantity of commodity.This method can substantially reduce the quantity of shooting image, and then reduce image analysis
Required calculation amount mitigates automatic vending machine data and uploads the pressure for carrying out data analysis with server.
Optionally, in the first image acquisition step, the user open the movement of the cabinet door of automatic vending machine by with
Under type judgement: the value for the strength signal that the sender unit is sent is received less than the first threshold in the signal receiving device
In the case where value, judge the movement of the user for the cabinet door of opening automatic vending machine, wherein the sender unit setting
In the cabinet door, the corresponding position of the cabinet body is arranged in the signal receiving device.
Optionally, the user includes: to be arranged on the inside of the cabinet body in the action signal in the cabinet body of automatic vending machine
The electric signal that the sensor of wall generates；The electricity that the intracorporal outer pyroelectric sensor of the cabinet is generated based on infrared light variation is set
Signal.
Optionally, the sensor is infrared sensor and/or ultrasonic sensor.
Optionally, the preset condition are as follows: action signal of the user in the cabinet body of automatic vending machine is less than or equal to the
Two threshold values, the weight change signal of article is greater than or equal to third threshold value on the shelf of the automatic vending machine.
Optionally, the weight change signal of article includes: to be examined based on gravity sensor on the shelf of the automatic vending machine
The weight change signal of article on the shelf surveyed, wherein the gravity sensor is arranged in the bottom shelf.
According to the second aspect of the application, a kind of device for visual identification of Behavior-based control detection is provided, is applied to certainly
Dynamic vending machine, comprising:
First image collection module is disposed for opening the movement of the cabinet door of automatic vending machine in response to user, obtain
The first image for taking article in the automatic vending machine, is sent to server for the first image；
User behavior signal detection module is disposed for detecting user behavior signal, wherein the user behavior letter
It number include at least one of following signals: action signal of the user in the cabinet body of automatic vending machine, the automatic vending machine
Shelf on article weight change signal；
Second image collection module is disposed in the case where the user behavior signal meets preset condition,
Second image is sent to server, so that server is based on by the second image for obtaining article in the automatic vending machine
The article that the first image and second image buy the user identifies.
The device can be shot according to user behavior, be sentenced by the variation of shelf contents caused by detection user behavior
Disconnected user buys the type and quantity of commodity.This method can substantially reduce the quantity of shooting image, and then reduce image analysis
Required calculation amount mitigates automatic vending machine data and uploads the pressure for carrying out data analysis with server.
Optionally, the first image obtains module and opens automatic vending machine for being judged by the following manner the user
Cabinet door movement: receive the value for the strength signal that the sender unit is sent less than first in the signal receiving device
In the case where threshold value, judge the movement of the user for the cabinet door of opening automatic vending machine, wherein the sender unit is set
It sets in the cabinet door, the corresponding position of the cabinet body is arranged in the signal receiving device.
Optionally, the user includes: to be arranged on the inside of the cabinet body in the action signal in the cabinet body of automatic vending machine
The electric signal that the sensor of wall generates；The electricity that the intracorporal outer pyroelectric sensor of the cabinet is generated based on infrared light variation is set
Signal.
In terms of according to the third of the application, a kind of automatic vending machine is provided, comprising: cabinet body and cabinet door, wherein described
Cabinet body is connect with the cabinet door, multiple shelf is provided in the cabinet body, the shelf are for placing items for sale；
The cabinet door is provided with sender unit, and the cabinet body is provided with signal receiving device, the signal transmitting dress
Set the movement for being used to detect the cabinet door that user opens automatic vending machine with the signal receiving device；
The side wall of the cabinet body is provided with sensor, and gravity sensor, the sensor and institute is arranged in the bottom shelf
Gravity sensor is stated for detecting user behavior signal；
It is provided with image collecting device above the shelf, for obtaining the image of article in the automatic vending machine；
The signal receiving device, the sensor and the gravity sensor are connect with master controller respectively, the master
Controller include memory, processor and storage in the memory and the computer program that can be run by the processor,
Wherein, one of method as described above is realized when the processor executes the computer program.
On the one hand the automatic vending machine of the application is able to detect user behavior, since user behavior normally results on shelf
The variation of quantity of article, therefore the image before and after shooting user behavior can be analyzed to obtain the type sum number that user buys article
Amount；On the other hand, the automatic vending machine in the case where not detecting user behavior without shooting, to reduce shooting figure
As the data volume generated, the data volume uploaded onto the server is reduced, reaches the effect saved flow and reduce server process pressure
Fruit extends the service life of equipment.
According to the accompanying drawings to the detailed description of the specific embodiment of the application, those skilled in the art will be more
Above-mentioned and other purposes, the advantages and features of the application are illustrated.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present application, constitutes part of this application, this Shen
Illustrative embodiments and their description please are not constituted an undue limitation on the present application for explaining the application.Hereinafter by reference
Some specific embodiments of the application are described in detail by way of example and not limitation in attached drawing.Identical attached drawing mark in attached drawing
Note denotes same or similar part or part.It will be understood by those skilled in the art that these attached drawings be not necessarily by than
What example was drawn.In the accompanying drawings:
Fig. 1 is the schematic diagram according to the automatic vending machine of the application one embodiment；
Fig. 2 is the schematic flow according to the visual identity method of the Behavior-based control of one embodiment of the application detection
Figure；
Fig. 3 is the schematic block diagram according to the device for visual identification of the Behavior-based control of one embodiment of the application detection.
Specific embodiment
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only
The embodiment of the application a part, instead of all the embodiments.Based on the embodiment in the application, ordinary skill people
Member's every other embodiment obtained without making creative work, all should belong to the model of the application protection
It encloses.
It should be noted that the description and claims of this application and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to embodiments herein described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that equipment is intrinsic.
This application discloses a kind of automatic vending machines.Fig. 1 is showing according to the automatic vending machine of the application one embodiment
Meaning property structure chart.The automatic vending machine 1 includes: cabinet body 101 and cabinet door 102, wherein the cabinet body 101 connects with the cabinet door 102
It connects, multiple shelf 107 is provided in the cabinet body, the shelf 107 are for placing items for sale；The cabinet door 102 is arranged
There is a sender unit 103, the cabinet body 101 is provided with signal receiving device 104, the sender unit 103 and described
Signal receiving device 104 is used to detect the movement for the cabinet door that user opens automatic vending machine.For example, by taking single open-door as an example, cabinet door
Side be provided with pivotal part, for being connect with cabinet body；The other side is provided with sender unit.Under shutdown state with signal
Sender unit can be set in the neighbouring position of emitter, wherein neighbouring position may include: interior of the cabinet and signal
The corresponding position of emitter, the position of cabinet body side face sender unit or cabinet body side and sender unit
Adjacent position etc..Sender unit is for sending electromagnetic wave, for example, Bluetooth signal.Signal receiving device is for receiving electricity
Magnetic wave.In the state that cabinet door is closed, the received strength signal of sender unit is most strong；In the case where cabinet door is opened,
Strength signal dies down.The strength signal of electromagnetic wave is sent to master controller by signal receiving device, and master controller is based on the letter
Number intensity judges whether cabinet door is opened.Strength signal can be received signal intensity instruction signal (Received Signal
Strength Indication,RSSI).The signal is the optional part for transmitting wirelessly layer, can be used to determine link quality,
And whether increase broadcast transmission intensity.Signal receiving module passes through the signal strength or weakness measurement signaling point and receiving point received
Distance, and then location Calculation is carried out according to corresponding data.The intensity of the RSSI signal of bluetooth to distance be it is relevant, there is dullness
Property, apart from smaller, signal is stronger.When the cabinet door of automatic vending machine is closed, signal is most strong, when the cabinet door quilt of automatic vending machine
When opening, RSSI signal can die down.For example, it is strong to receive the signal that the sender unit is sent in the signal receiving device
In the case that degree is less than first threshold, judge that the movement of the user for the cabinet door for opening automatic vending machine, connects in the signal
In the case that the signal strength that receiving apparatus receives the sender unit transmission is greater than or equal to less than the 4th threshold value, institute is judged
The movement for stating user is the cabinet door of closing automatic vending machine, at this point, the signal for indicating that user closes the door is sent to server, so as to
Server carries out amount of money calculating to the article that user buys.
Image collecting device (not shown) is provided with above the shelf, for being triggered under proper condition, to obtain
Take the image of article in the automatic vending machine.
The side wall of the cabinet body is provided with sensor 105,106, and gravity sensor (not shown) is arranged in the bottom shelf,
The sensor and the gravity sensor are for detecting user behavior signal.
The sensor of the side wall of cabinet body can be set between two shelf, top layer shelf and cabinet body roof, cabinet floor
Appropriate position between upper shelf.The specific riding position of sensor depends on the setting of shelf in cabinet body, and every
The height of putting on article on layer shelf.Sensor can be infrared sensor 105 and/or ultrasonic sensor 106.It should be understood that
, Fig. 1 is only schematic diagram, and infrared sensor 105 or ultrasonic sensor 106 can be only arranged in every layer of shelf, can also be all
Setting, the quantity of each sensor are also not necessarily limited to one.Sensor can be used for detecting movement of the user in this layer of shelf.It is red
Outer sensor can constantly issue infrared ray, when the infrared ray launched be not reflected back to come or reflected intensity not
When enough big, triode is unanimously in close state；When there is object to appear in detection range, infrared ray, which is reflected back, to be cut by force
Spend sufficiently large, triode saturation detects that user just operates in shelf or take commodity.Ultrasonic sensor can be sent out
Sound wave out, sound wave, which encounters object, to be returned, and obtain measuring distance by formula, wherein measuring distance=(high level time * sound
Speed)/2, when measuring distance and preset distance before, for example, when the intracorporal width of cabinet is inconsistent, it is believed that there is user just in cabinet body
Middle operation article.
Action signal of the user in the cabinet body of automatic vending machine can also include that setting is intracorporal outer in the cabinet
Pyroelectric sensor (not shown).The testing principle of outer pyroelectric sensor includes: that human body has body temperature and can discharge sightless
Infrared light, after the photosensitive element of outer pyroelectric sensor detects infrared light, electric current can change, that is, detect someone
It is operated in counter.
Gravity sensor can be set in bottom shelf.If shelf are hollow structure, gravity sensor be can be set
Inside shelf.Cantilevered shifter is made using elastic sensing element processed inside gravity sensor, and uses elastic sensing element
Manufactured energy-stored spring drives electric contact, completes the conversion from Gravity changer to electric signal.When user takes out article or puts
When returning article, electric signal can change, so that whether detect has user just to operate article in cabinet body.
Can be set in automatic vending machine one in infrared sensor, ultrasonic sensor and outer pyroelectric sensor or
It is multiple.For one layer of shelf, the quantity of every kind of sensor can be one, be also possible to multiple.The type of sensor increases
It is more, it can be mutually authenticated between the data of sensor detection, therefore can be improved the accuracy of detection.Infrared sensor, ultrasound
Wave sensor, outer pyroelectric sensor and gravity sensor are connect with master controller, and master controller receives various sensors
Signal is detected, judges whether that control camera obtains the image of article on current shelf according to preset condition.
The signal receiving device, the sensor and the gravity sensor connect with master controller (not shown) respectively
Connect, the master controller include radio receiving transmitting module, memory, processor and storage in the memory and can be by described
Manage device operation computer program, wherein processor connect with radio receiving transmitting module and memory respectively, radio receiving transmitting module and
Server connection, the processor realize the visual identity of Behavior-based control detection as described below when executing the computer program
Method.
On the one hand the automatic vending machine of the application is able to detect user behavior, since user behavior normally results on shelf
The variation of quantity of article, therefore the image before and after shooting user behavior can be analyzed to obtain the type sum number that user buys article
Amount；On the other hand, the automatic vending machine in the case where not detecting user behavior without shooting, to reduce shooting figure
As the data volume generated, the data volume uploaded onto the server is reduced, reaches the effect saved flow and reduce server process pressure
Fruit extends the service life of equipment.
One embodiment of the application also discloses a kind of visual identity method of Behavior-based control detection, and this method can answer
For above-mentioned automatic vending machine.The one or more that this method may comprise steps of:
The first image acquisition step of S100: opening the movement of the cabinet door of automatic vending machine in response to user, and acquisition is described certainly
The first image of article, is sent to server for the first image in dynamic vending machine.
S300 user behavior signal detection step: detection user behavior signal, wherein the user behavior signal include with
At least one of lower signal: action signal of the user in the cabinet body of automatic vending machine, on the shelf of the automatic vending machine
The weight change signal of article.
The second image acquisition step of S500: in the case where the user behavior signal meets preset condition, described in acquisition
Second image is sent to server by the second image of article in automatic vending machine, so that server is based on described first
The article that image and second image buy the user identifies.
This method can be shot according to user behavior, be sentenced by the variation of shelf contents caused by detection user behavior
Disconnected user buys the type and quantity of commodity.This method can substantially reduce the quantity of shooting image, and then reduce image analysis
Required calculation amount mitigates automatic vending machine data and uploads the pressure for carrying out data analysis with server.
In the first image acquisition step of S100, the movement that the user opens the cabinet door of automatic vending machine passes through with lower section
Formula judgement:
It is less than first threshold in the value that the signal receiving device receives the strength signal that the sender unit is sent
In the case where, judge the movement of the user for the cabinet door of opening automatic vending machine, wherein the sender unit setting exists
The opening of the signal receiving device detection cabinet door of the cabinet body is arranged in the cabinet door, the cabinet door.
The movement that user opens cabinet door can be judged automatically using this method, image when which is occurred is as starting
Image, before user's purchase article can be obtained, the state of remaining articles in automatic vending machine.Before cabinet door is unopened, camera shooting
Machine, to save electricity and flow, can extend device service life without shooting, into dormant state.
Optionally, the sensor is infrared sensor and/or ultrasonic sensor.Preset condition may include to infrared
The judgement of sensor and/or ultrasonic sensor detection signal.For example, being equipped on the side wall of one layer of shelf of automatic vending machine
In the case where infrared sensor or ultrasonic sensor, sensor emission and the time difference for receiving signal are less than or equal to the second threshold
In the case where value, it is believed that user generates action behavior.For example, simultaneously equipped with red on the side wall of one layer of shelf of automatic vending machine
In the case where outer sensor and ultrasonic sensor, Rule of judgment can be set are as follows: the time of infrared sensor detection is less than the
In the case that the time of five threshold values and/or ultrasonic sensor detection is less than the 6th threshold value, it is believed that user generates action behavior.
The preset condition can also include: the judgement of external pyroelectric sensor detection signal.It is sensed in outer pyroelectricity
In the case that device is greater than or equal to the 7th threshold value based on the electric signal that infrared light variation generates, it is believed that user generates action behavior.
The preset condition can also include: the weight change signal of article on the shelf of the automatic vending machine be greater than or
Equal to third threshold value.The weight change signal of article includes: to be detected based on gravity sensor on the shelf of the automatic vending machine
The shelf on article weight change signal, wherein the gravity sensor is arranged in the bottom shelf.Weight change
Threshold value can be set to the weight of the article that weight is most light on this layer of shelf.
User behavior can be detected with above-mentioned duplicate customer behavior signal detection step.Whenever there is user to have new row
For when, in the case where the user behavior signal meets preset condition, obtain the new images of article in the automatic vending machine
And it is sent to server.Optionally, server can compare new images and the image of last time transmission, judge user
This time movement is the type and quantity taken out article or put back to article and article.Optionally, server can be by new images
The first image transmitted when opening cabinet door with user compares, and judges the type and quantity for all items that user takes out.Clothes
Device be engaged according to the type and quantity of article, calculates the amount of money that user needs to pay in real time, calculated result is transmitted to automatic vending machine
And it is shown to user.
One embodiment of the application also discloses a kind of device for visual identification of Behavior-based control detection, which can answer
For above-mentioned automatic vending machine.The apparatus may include with the one or more of lower module:
First image collection module 100 is disposed for opening the movement of the cabinet door of automatic vending machine in response to user,
The first image for obtaining article in the automatic vending machine, is sent to server for the first image；
User behavior signal detection module 300 is disposed for detecting user behavior signal, wherein user's row
It include at least one of following signals for signal: action signal of the user in the cabinet body of automatic vending machine, the automatic selling
The weight change signal of article on the shelf of cargo aircraft；With
Second image collection module 500 is disposed for the case where the user behavior signal meets preset condition
Under, the second image of article in the automatic vending machine is obtained, second image is sent to server, so as to server base
It is identified in the article that the first image and second image buy the user.
The first image obtains module and is used to be judged by the following manner the cabinet door that the user opens automatic vending machine
Movement:
It is less than first threshold in the value that the signal receiving device receives the strength signal that the sender unit is sent
In the case where, judge the movement of the user for the cabinet door of opening automatic vending machine, wherein the sender unit setting exists
The corresponding position of the cabinet body is arranged in the cabinet door, the signal receiving device.
Action signal of the user in the cabinet body of automatic vending machine includes: that the sensing of the cabinet body inner sidewall is arranged in
The electric signal that device generates；The electric signal that the intracorporal outer pyroelectric sensor of the cabinet is generated based on infrared light variation is set.
The device can be shot according to user behavior, be sentenced by the variation of shelf contents caused by detection user behavior
Disconnected user buys the type and quantity of commodity.This method can substantially reduce the quantity of shooting image, and then reduce image analysis
Required calculation amount mitigates automatic vending machine data and uploads the pressure for carrying out data analysis with server.
Above-mentioned the embodiment of the present application serial number is for illustration only, does not represent the advantages or disadvantages of the embodiments.
In above-described embodiment of the application, all emphasizes particularly on different fields to the description of each embodiment, do not have in some embodiment
The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others
Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, only
A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or
Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module
It connects, can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
The preferable specific embodiment of the above, only the application, but the protection scope of the application is not limited thereto,
Within the technical scope of the present application, any changes or substitutions that can be easily thought of by anyone skilled in the art,
Should all it cover within the scope of protection of this application.Therefore, the protection scope of the application should be with scope of protection of the claims
Subject to.
Claims (10)
1. a kind of visual identity method of Behavior-based control detection, is applied to automatic vending machine, comprising:
First image acquisition step: the movement of the cabinet door of automatic vending machine is opened in response to user, obtains the automatic vending machine
First image of interior article, is sent to server for the first image；
User behavior signal detection step: detection user behavior signal, wherein the user behavior signal includes in following signals
At least one: action signal of the user in the cabinet body of automatic vending machine, the weight of article on the shelf of the automatic vending machine
Measure variable signal；With
Second image acquisition step: in the case where the user behavior signal meets preset condition, the automatic vending is obtained
Second image is sent to server by the second image of article in machine, so that server is based on the first image and institute
The article that the second image buys the user is stated to identify.
2. the method according to claim 1, wherein the user opens certainly in the first image acquisition step
The movement of the cabinet door of dynamic vending machine is judged by the following manner:
It is less than the feelings of first threshold in the value that the signal receiving device receives the strength signal that the sender unit is sent
Under condition, judge the movement of the user for the cabinet door of opening automatic vending machine, wherein the sender unit is arranged described
The corresponding position of the cabinet body is arranged in cabinet door, the signal receiving device.
3. the method according to claim 1, wherein movement letter of the user in the cabinet body of automatic vending machine
It number include: the electric signal that the sensor of the cabinet body inner sidewall is set and is generated；Setting is passed in the intracorporal outer pyroelectricity of the cabinet
The electric signal that sensor is generated based on infrared light variation.
4. according to the method described in claim 3, it is characterized in that, the sensor is that infrared sensor and/or ultrasonic wave pass
Sensor.
5. the method according to claim 1, wherein the preset condition are as follows: cabinet of the user in automatic vending machine
Action signal in body is less than or equal to second threshold, and the weight change signal of article is greater than on the shelf of the automatic vending machine
Or it is equal to third threshold value.
6. according to claim 1 to 5 described in any item methods, which is characterized in that object on the shelf of the automatic vending machine
The weight change signal of product includes: the weight change signal of article on the shelf based on gravity sensor detection, wherein institute
Gravity sensor is stated to be arranged in the bottom shelf.
7. a kind of device for visual identification of Behavior-based control detection, is applied to automatic vending machine, comprising:
First image collection module is disposed for opening the movement of the cabinet door of automatic vending machine in response to user, obtains institute
The first image for stating article in automatic vending machine, is sent to server for the first image；
User behavior signal detection module is disposed for detecting user behavior signal, wherein the user behavior signal packet
Include at least one of following signals: action signal of the user in the cabinet body of automatic vending machine, the goods of the automatic vending machine
The weight change signal of article on frame；With
Second image collection module is disposed in the case where the user behavior signal meets preset condition, obtains
Second image is sent to server by the second image of article in the automatic vending machine, so that server is based on described
The article that first image and second image buy the user identifies.
8. device according to claim 7, which is characterized in that the first image obtains module in the following manner
Judge that the user opens the movement of the cabinet door of automatic vending machine:
It is less than the feelings of first threshold in the value that the signal receiving device receives the strength signal that the sender unit is sent
Under condition, judge the movement of the user for the cabinet door of opening automatic vending machine, wherein the sender unit is arranged described
The corresponding position of the cabinet body is arranged in cabinet door, the signal receiving device.
9. device according to claim 7 or 8, which is characterized in that the user is dynamic in the cabinet body of automatic vending machine
It include: the electric signal that the sensor of the cabinet body inner sidewall is set and is generated as signal；Setting is released in the intracorporal outer heat of the cabinet
The electric signal that electric transducer is generated based on infrared light variation.
10. a kind of automatic vending machine, comprising: cabinet body and cabinet door, wherein the cabinet body is connect with the cabinet door, in the cabinet body
Multiple shelf are provided with, the shelf are for placing items for sale；
The cabinet door is provided with sender unit, and the cabinet body is provided with signal receiving device, the sender unit and
The signal receiving device is used to detect the movement for the cabinet door that user opens automatic vending machine；
The side wall of the cabinet body is provided with sensor, and the bottom shelf is arranged gravity sensor, the sensor and described heavy
Force snesor is for detecting user behavior signal；
It is provided with image collecting device above the shelf, for obtaining the image of article in the automatic vending machine；
The signal receiving device, the sensor and the gravity sensor are connect with master controller respectively, the main control
Device includes: radio receiving transmitting module, memory, processor and stores the meter that can be run in the memory and by the processor
Calculation machine program, wherein the processor is connect with the radio receiving transmitting module and the memory respectively, the wireless receiving and dispatching mould
Block is connect with server, and the processor is realized when executing the computer program as described in any one of claims 1 to 6
Method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910209592.0A CN109948538A (en) | 2019-03-19 | 2019-03-19 | The visual identity method, apparatus and automatic vending machine of Behavior-based control detection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910209592.0A CN109948538A (en) | 2019-03-19 | 2019-03-19 | The visual identity method, apparatus and automatic vending machine of Behavior-based control detection |
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| CN109948538A true CN109948538A (en) | 2019-06-28 |
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| CN108335406A (en) * | 2018-02-08 | 2018-07-27 | 合肥美的智能科技有限公司 | Self-service equipment and its good selling method and self-service system |
| WO2018137136A1 (en) * | 2017-01-24 | 2018-08-02 | 广州市蚁道互联网有限公司 | Vending machine and operation method thereof |
| CN108710874A (en) * | 2018-08-23 | 2018-10-26 | 深圳码隆科技有限公司 | A kind of automatic vending machine based on image collecting device |
| CN108765708A (en) * | 2018-08-23 | 2018-11-06 | 深圳码隆科技有限公司 | A kind of unmanned automatic vending machine |
| CN109190705A (en) * | 2018-09-06 | 2019-01-11 | 深圳码隆科技有限公司 | Self-service method, apparatus and system |
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| WO2018137136A1 (en) * | 2017-01-24 | 2018-08-02 | 广州市蚁道互联网有限公司 | Vending machine and operation method thereof |
| CN108335406A (en) * | 2018-02-08 | 2018-07-27 | 合肥美的智能科技有限公司 | Self-service equipment and its good selling method and self-service system |
| CN108710874A (en) * | 2018-08-23 | 2018-10-26 | 深圳码隆科技有限公司 | A kind of automatic vending machine based on image collecting device |
| CN108765708A (en) * | 2018-08-23 | 2018-11-06 | 深圳码隆科技有限公司 | A kind of unmanned automatic vending machine |
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Application publication date: 20190628 |