CN107077659A - A kind of intelligent inventory management system, server, method, terminal and program product - Google Patents
A kind of intelligent inventory management system, server, method, terminal and program product Download PDFInfo
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- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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Abstract
The present invention relates to high in the clouds robotic technology field there is provided a kind of intelligent inventory management system, server, method, terminal and program product, the complexity for reducing stock control.Wherein this method includes：Intelligence machine terminal taking article, and the image photographed is sent to intelligent inventory management server；The intelligent inventory management server according to the intelligence machine terminal taking to image recognition determine article and storage in described image；And article and the inventory information storage for identifying the object identification module.The present invention utilizes object recognition technique, reduces the workload of manual entry, improves the accuracy of Item Information storage, reduces the complexity of stock control.
Description
Technical field
The present invention relates to high in the clouds robotic technology field, more particularly to a kind of intelligent inventory management system, server, side
Method, terminal and program product.
Background technology
High in the clouds robot is that cognitive system is placed in cloud, and body, driving, sensor are placed on robot body, are passed through
The intelligence machine terminal that mobile communication connects the two；High in the clouds robot is the direction of intelligent anthropomorphic robot development.
Article typing in current inventory management system, majority is the mode of manual typing, and also some are based on thing recently
Networking technology, the RFID being implanted into by recognizing in article (Radio Frequency Identification, radio frequency identification), two
The mode typing of code, bar code sensing element and Internet of Things chip is tieed up, but such article typing be present.Hand
Work typing list of articles is easy to because human negligence causes the problem of registration malfunctions；And be implanted into by recognizing in article
RFID, Quick Response Code, the mode of bar code sensing element and Internet of Things chip in article, it is necessary to be implanted into these sensing elements in advance
And Internet of Things chip so that handling process is more complicated, and identification each time is both needed to be implanted into these sensing elements and Internet of Things
The problem of chip also brings cost.
The content of the invention
The embodiment of the present application proposes a kind of intelligent inventory management system, server, method, terminal and program product, uses
In the complexity of reduction stock control.
In the first aspect, the embodiment of the present application provides a kind of intelligent inventory management server, including object identification mould
Block and inventory management module, wherein：
The object identification module, for according to intelligence machine terminal taking to image recognition determine in described image
Article and storage；
The inventory management module, for article and the inventory information storage for identifying the object identification module.
In second aspect, the embodiment of the present application provides a kind of intelligent inventory management system, including above-mentioned first side
The intelligent inventory management server that face is provided, and intelligence machine terminal：
The intelligence machine terminal, the server is sent to for shooting article, and by the image photographed.
At the 3rd aspect, the embodiment of the present application provides a kind of intelligence machine terminal, including camera, the second communication unit
Part, second processor part, wherein：
The camera, for shooting article；
The second processor part is used for the image that the article in warehouse is shot by the camera, and by described
The image photographed is sent to intelligent inventory management server by the second communication component.
At the 4th aspect, the embodiment of the present application provides a kind of intelligent inventory management method, including：
Intelligence machine terminal taking article, and the image photographed is sent to intelligent inventory management server；
The intelligent inventory management server receives the image that the intelligence machine terminal taking is arrived, by the intelligence
The image recognition that machine terminal is photographed determines the article and storage in described image and is saved in inventory information.
At the 5th aspect, the embodiment of the present application provides the computer program product that a kind of intelligent inventory is managed, described
Computer program product includes computer-readable storage medium and is embedded in computer program mechanism therein, the computer
Procedure mechanism includes the instruction for being used to perform each step in the 4th aspect methods described.
At the 6th aspect, the embodiment of the present application provides a kind of intelligent inventory management server, including the first communication unit
Part, first processor part and memory member, wherein：
First communication component, for receiving the image that intelligence machine terminal taking is arrived；
The memory member, for storing inventory information；
The first processor part, for by intelligence machine terminal taking to image recognition determine described image
In article and storage, and be saved in the memory member.
Have the beneficial effect that：
In the embodiment of the present application, intelligence machine terminal taking article, and the image photographed is sent to intelligent inventory
Management server；The image recognition described image that the intelligent inventory management server is arrived according to the intelligence machine terminal taking
In article and storage；And be put in storage article and inventory information.The embodiment of the present application utilizes article identification technology, by article
Taken pictures, identify the article, by Item Information automatic input into inventory information storehouse.The embodiment of the present application need not be by hand
Typing, it is to avoid manual typing list of articles is easy to because human negligence causes the problem of registration malfunctions；Without existing in advance
Any object is implanted into article so that handling process is more convenient.
Brief description of the drawings
The specific embodiment of the present invention is described below with reference to accompanying drawings, wherein：
Fig. 1 is the structural representation of intelligent inventory management system in the embodiment of the present application；
Fig. 2 is the intelligent inventory management method schematic flow sheet in the embodiment of the present application；
Fig. 3 is the intelligent inventory management method schematic flow sheet in the embodiment of the present application one；
Fig. 4 is the intelligent inventory management method schematic flow sheet in the embodiment of the present application two；
Fig. 5 is intelligence machine terminal stock's method for inspecting schematic flow sheet in the embodiment of the present application three；
Fig. 6 is the structural representation of intelligence machine terminal in the embodiment of the present application；
Fig. 7 be the embodiment of the present application in intelligent inventory management server structural representation；
Fig. 8 be the embodiment of the present application in intelligent inventory management server another structural representation.
Embodiment
In order that technical scheme and advantage are more clearly understood, below in conjunction with accompanying drawing to the exemplary of the present invention
Embodiment is described in more detail, it is clear that described embodiment is only a part of embodiment of the present invention, rather than
The exhaustion of all embodiments.And in the case where not conflicting, the feature in embodiment and embodiment in this explanation can be mutual
It is combined.
Fig. 1 shows the intelligent inventory management system in the embodiment of the present application, as illustrated, including intelligence machine terminal
101 and intelligent inventory management server 104, intelligent inventory management server 104 includes object identification module 102 and stock control
Module 103, wherein：
Intelligence machine terminal 101, object identification module 102 is sent to for shooting article, and by the image photographed；
Object identification module 102, for the article in the image recognition image that is photographed according to intelligence machine terminal 101
And storage；
Inventory management module 103, for article and the inventory information storage for identifying object identification module 102.
Wherein, object identification module 102 and inventory management module 103 can be arranged in different physical servers,
It can be arranged in same physical server.
Fig. 2 shows the intelligent inventory management method in the embodiment of the present application, as illustrated, including：
Step 201, intelligence machine terminal 101 shoots article, and the image photographed is sent into intelligent inventory management clothes
The object identification module 102 of business device 104；
Step 202, in the image recognition image that object identification module 102 is photographed according to intelligence machine terminal 101
Article and storage；
Step 203, the inventory management module 103 of intelligent inventory management server 104 identifies object identification module 102
Article and inventory information storage.
, can be fast and accurately using object recognition technique in the intelligent inventory management method that the embodiment of the present application is provided
Article is recognized, can be by Item Information automatic input inventory system, while can also be by thing by the training of large numbers of items data
The actual image information of product is entered into inventory management system, and the workload for reducing manual entry enters there is provided Item Information
The accuracy in storehouse, also also reduces the cost that RFID, Quick Response Code, bar code sensing element and Internet of Things chip are implanted into for article,
That is mentioned in the motion carries out the scheme of article typing using object recognition technique, can be used for the stock control of all kinds of industries.
Further, the image can also be put in storage object by inventory management module 103 together with the Item Information.
The image information for so having operated article perfect, and ensure accurately to correspond with article.Improve article letter
The integrality of breath, and the data for the typing in the prior art that inventor has found can not all include item image information.
Further, article can also be identified whether successful feedback information and is sent to intelligence by object identification module 102
Machine terminal 101；
When intelligence machine terminal 101 can also be recognized successfully in feedback information, next article shooting is carried out；In feedback
When information is recognition failures, article is re-shoot from another angle.
So processing can increase the fault freedom of article identification, if a None- identified success, intelligent inventory management
System itself can be carried out re-recognizing, so as to increase the successful possibility of identification.Certainly, in order to avoid None- identified always
Succeed and cause flow endless loop, the settable number of times re-recognized, if repeatedly identification still can not succeed, is carried out next
Article is shot；Or the different shooting angles of the article are recorded, if all angles have been attempted but still can not succeeded,
Then carry out next article shooting.
Further, intelligence machine terminal 101 by camera can shoot article according to predetermined period；Or
Instructed according to the wake-up of the object identification module 102 received, wake up and move to the object identification mould
The position that block 102 is specified carries out article shooting.
Support different wake-up modes so that the scheme of the embodiment of the present application is more flexible.
Intelligence machine terminal 101 in the embodiment of the present application is mainly used in warehousing management environment, is designed in storehouse
Arbitrarily walked in storage, oneself height can be lifted and the robot of object can be recognized.When implementing, intelligence machine terminal
101 can proceed by inspection in each inspection from first shelf in warehouse.Intelligence machine terminal 101 is known using overall
Each cut-off of each shelf is identified for the combination recognition methods of other and split identification.Intelligence machine terminal 101 is led to
Cross overall identification and obtain the cut-off article Global Information, (can further according to the interval between article for the article being stacked
Utilize the cut-off rule between article and article) each article of split identification, finally draw the information of article.
Further, object identification module 102 can be using the machine vision technique of feature based extraction and based on convolution
The deep learning technology of neutral net carries out object identification.
For the article identifying schemes based on convolutional neural networks deep learning, each article typing is all the one of self study
Individual process, for enriching its knowledge storehouse, improves the degree of accuracy of article identification.
When implementing, object identification module 102 can also be by the image that is photographed to intelligence machine terminal 101
The bar code of article is identified, so as to complete the identification of the article in the image.
Object identification module 102 and inventory management module 103 are that the feature of intelligent inventory management server 104 is drawn
Point, when not doing specific division, the intelligent inventory management method in the embodiment of the present application can be understood as：
Intelligence machine terminal 101 shoots article, and the image photographed is sent into intelligent inventory management server 104；
Intelligent inventory management server 104 receives the image that intelligence machine terminal 101 is photographed, by whole to intelligence machine
The image recognition that end 101 is photographed determines the article and storage in image and is saved in inventory information.
When not doing specific division, it is possible to understand that middle object identification module 102 and the institute of inventory management module 103 is described herein
The operation done is that intelligent inventory management server 104 is performed.
For the ease of being better understood from the present invention, illustrated below with example.
Embodiment one
In embodiment one, realize that angle is described from intelligence machine terminal 101, and by intelligent machine in embodiment one
Device terminal 101 actively initiates article identification mission, and Fig. 3 shows the intelligent inventory management method in embodiment one, as illustrated,
Including：
Step 301, the timing of intelligence machine terminal 101 is autonomous wakes up；
The timing of intelligence machine terminal 101 is autonomous wake up be for the power saving when being shot without article, in the specific implementation,
The step of not necessarily including waking up, intelligence machine terminal 101 can work always, and be shot according to predetermined period by camera
Article.
Step 302, intelligence machine terminal 101 shoots article；
Step 303, intelligence machine terminal 101 sends the image photographed to the object identification module 102 in high in the clouds；
Step 304, the article that the reception of intelligence machine terminal 101 object identification module 102 is sent identifies whether successfully anti-
Feedforward information；
Step 305, intelligence machine terminal 101 judges whether the feedback information is to recognize successfully, if so, step 306 is carried out,
Otherwise, step 307 is carried out；
Step 306, intelligence machine terminal 101 carries out next article shooting；
When implementing, intelligence machine terminal can also be that the article sent according to inventory management module 103 is successfully recorded
Enter information to determine whether the processing into next article.That is, if the feedback information that intelligence machine terminal 101 is received is into
Work(, wouldn't carry out subsequent operation, and inventory management module 103 can send article success typing information in typing success, intelligence
Machine terminal 101 is after article success typing information is received, then carries out the processing of next article.
Step 307, intelligence machine terminal 101 judges whether the number of times for shooting same article is more than setting value N, if so, entering
Row step 306, otherwise carries out step 308；
Wherein N is natural number, can be arranged as required to.
Step 308, intelligence machine terminal 101 moves and re-shoots article, return to step 304 from another angle.
Embodiment two
In embodiment two, realize that angle is described from intelligence machine terminal 101, and intelligence machine in embodiment two
Terminal 101 is waken up according to the wake-up instruction received, and Fig. 4 shows the intelligent inventory management method in embodiment two, such as schemes
It is shown, including：
Step 401, intelligence machine terminal 101 receives wake-up instruction, is carried in wake-up instruction and shoots specifying for article
Positional information；
The wake-up instruction that intelligence machine terminal 101 is received can be that the identification that high in the clouds object identification module 102 is initiated is appointed
Business.
In the specific implementation, shoot article specified location information not necessarily carry wake up instruction in, can also be independent
Send.
Step 402, intelligence machine terminal 101 is according to the wake instruction intelligence machine terminal 101 and moves to the wake-up and refers to
The position specified is made to carry out article shooting；
Step 403, intelligence machine terminal 101 sends the image photographed to the object identification module 102 in high in the clouds；
Step 404, the article that the reception of intelligence machine terminal 101 object identification module 102 is launched identifies whether successfully anti-
Feedforward information；
Step 405, intelligence machine terminal 101 judges whether the feedback information is to recognize successfully, if so, step 406 is carried out,
Otherwise, step 407 is carried out；
Step 406, intelligence machine terminal 101 carries out next article shooting；
Step 407, intelligence machine terminal 101 moves and re-shoots article, return to step 404 from another angle.
It can be seen that, in embodiment two, intelligence machine terminal 101 is direct mobile when recognizing unsuccessful and from another angle weight
It is new to shoot article, so it is likely to result in and recognizes endless loop that is unsuccessful and constantly being recognized on same article always always, but
It is in practice, to recognize that unsuccessful possibility is very low always, and a judgment step is set less, flow can be saved, because
This, this is also a kind of feasible implementation.
Embodiment three
A stock's patrol task flow of intelligence machine terminal 101, i.e. intelligence machine terminal 101 are provided in embodiment three
Inspection checking can be carried out after identification is completed, then to recognition result.The stock's inspection of intelligence machine terminal 101 of embodiment three
Method is as shown in figure 5, comprise the following steps：
Step 501, intelligence machine terminal 101 is taken pictures to stock article one by one；
Intelligence machine terminal 101 in this method, which can be that timing is autonomous, to be waken up, and also can carry out storehouse by network side wake-up
Deposit inspection.
Step 502, the image photographed is sent to object identification module 102 by intelligence machine terminal 101；
Step 503, object identification module 102 is identified according to the image received；
Step 504, inventory management module 103 inquires about inventory management system according to the recognition result of object identification module 102
The Item Information of middle preservation, is checked information such as the position of article, outward appearance, quantity.
The embodiment of the present application also provides a kind of computer program product of intelligent inventory management, the computer program product bag
Include computer-readable storage medium and be embedded in computer program mechanism therein, the computer program mechanism includes being used to hold
The instruction of each step in the method provided in row the embodiment of the present application.
Based on same inventive concept, a kind of intelligence machine terminal 101 is additionally provided in the embodiment of the present application, because these set
The standby principle solved the problems, such as is similar to a kind of intelligent inventory management method, therefore the implementation of these equipment may refer to the reality of method
Apply, repeat part and repeat no more.
As shown in fig. 6, a kind of intelligence machine terminal 101, including camera 601, the second communication component 602, second processing
Device part 603：
Camera 601, for shooting article；
Second processor part 603, for shooting the image of the article in warehouse by camera 601, and passes through second
The image photographed is sent to intelligent inventory management server 104 by communication component 602.
Further, second processor part 602 is used for the image bag that the article in warehouse is shot by camera 601
Include：
Article is shot by camera 601 according to predetermined period；Or
When the second communication component 602 receives wake-up instruction, according to the wake instruction intelligence machine terminal 101 and move
Article shooting is carried out to the position that the wake-up is specified.
Intelligent inventory management server 104 in the embodiment of the present application is as shown in fig. 7, comprises the He of object identification module 102
Inventory management module 103, wherein：
Object identification module 102, the image recognition for being photographed according to intelligence machine terminal 10 is determined in described image
Article and storage；
Inventory management module 103, for article and the inventory information storage for identifying object identification module 102.
Further, in the image recognition image that object identification module 102 is photographed according to intelligence machine terminal 101
Article and storage are specially：The machine vision technique extracted using feature based and the deep learning skill based on convolutional neural networks
Art carries out object identification.
Further, inventory management module 103 is also put in storage the image together with the article and inventory information.
Further, intelligent inventory management server 104 also includes the first interactive module；First interactive module is used to show
First interface, the first interface is used to need to check the article of inventory information for user's selection；
First interactive module is additionally operable to, and when user selects corresponding article by first interface, displaying is used
The corresponding picture of the selected article in family and inventory information；And when user changes shown inventory information, by the article
Corresponding inventory information updates.
Further, intelligent inventory management server 104 also includes the second interactive module, and the first interactive module is used to show
Second contact surface, second contact surface is used to need to check the article of realtime graphic for user's selection；
Second interactive module is additionally operable to, when user selects corresponding article by second contact surface, controls intelligent machine
Position where device terminal 101 reaches the article shoots and the realtime graphic photographed is uploaded into intelligent inventory management server
104；And the realtime graphic for receiving intelligent inventory management server 104 is shown.
When having the first interactive module and the second interactive module at the same time, the two can be realized by same interactive module.
Intelligent inventory management server 104 in the embodiment of the present application can be with as shown in figure 8, including the first communication component
801st, first processor part 802 and memory member 803, wherein：
First communication component 801, for receiving the image that intelligence machine terminal 101 is photographed；
Memory member 803, for storing inventory information；
First processor part 802, for by determining the figure to the image recognition that intelligence machine terminal 101 is photographed
Article and storage as in, and it is saved in memory member 803.
Further, by intelligence machine terminal taking to image recognition determine article and storage bag in image
Include：The machine vision technique extracted using feature based and the deep learning technology based on convolutional neural networks carry out object knowledge
Not.
Further, image is also saved in the storage by first processor part 802 together with article and inventory information
Device part 803.
Further, intelligent inventory management server 104 is additionally operable to show the first interface, and the first interface is used for for user's choosing
Selecting needs the article for checking inventory information；
Intelligent inventory management server 104 is additionally operable to, when user selects corresponding article by first interface, exhibition
Show the corresponding picture of the selected article of user and inventory information；And when user changes shown inventory information, by this
The corresponding inventory information of article updates.
Further, intelligent inventory management server 104 is additionally operable to show second contact surface, and second contact surface is used for for user's choosing
Selecting needs the article for checking realtime graphic；
Intelligent inventory management server 104 is additionally operable to, when user selects corresponding article by the second contact surface, control
Position where intelligence machine terminal 101 processed reaches the article shoots and the realtime graphic photographed is uploaded into intelligent inventory pipe
Manage server 104；And the realtime graphic for receiving intelligent inventory management server 104 is shown.
Intelligent inventory management system in the embodiment of the present application as shown in Figure 1, can include in the embodiment of the present application
Intelligence machine terminal 101 and intelligent inventory management server 104, further, object identification module 102 are additionally operable to know article
Whether successful feedback information is not sent to intelligence machine terminal 101；
Intelligence machine terminal 101 is additionally operable to, and when the feedback information is recognition failures, thing is re-shoot from another angle
Product.
Further, intelligence machine terminal 101 includes for shooting article：The timing of intelligence machine terminal 101 is autonomous to be waken up
Carry out article shooting；Or
Item identification module 102, which is additionally operable to send to intelligence machine terminal 101, wakes up instruction；
Intelligence machine terminal 101 includes for shooting article：Intelligence machine terminal 101 is instructed simultaneously according to the wake-up received
Carry out article shooting.Intelligence machine terminal 101 can specifically refer to according to the wake-up of the object identification module 102 received
Order, wakes up and moves to the position progress article shooting that the object identification module 102 is specified.
For convenience of description, each several part of apparatus described above is divided into various modules with function or unit is described respectively.
Certainly, each module or the function of unit can be realized in same or multiple softwares or hardware when implementing the present invention.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the present invention can be using the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the present invention can be used in one or more computers for wherein including computer usable program code
The computer program production that usable storage medium is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The present invention is the flow with reference to method, equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram are described.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
, but those skilled in the art once know basic creation although preferred embodiments of the present invention have been described
Property concept, then can make other change and modification to these embodiments.So, appended claims are intended to be construed to include excellent
Select embodiment and fall into having altered and changing for the scope of the invention.
Claims (24)
1. a kind of intelligent inventory management server, it is characterised in that including object identification module and inventory management module, wherein：
The object identification module, for according to intelligence machine terminal taking to image recognition determine article in described image
And storage；
The inventory management module, for article and the inventory information storage for identifying the object identification module.
2. server as claimed in claim 1, it is characterised in that the image recognition arrived according to intelligence machine terminal taking
Determine that article and storage in described image include：The machine vision technique that is extracted using feature based and based on convolutional Neural net
The deep learning technology of network carries out object identification.
3. server as claimed in claim 1, it is characterised in that the inventory management module is also by described image and the thing
Product and inventory information are put in storage together.
4. server as claimed in claim 3, it is characterised in that the server also includes the first interactive module；Described
One interactive module is used to show the first interface, and first interface is used to need to check the article of inventory information for user's selection；
First interactive module is additionally operable to, and when user selects corresponding article by first interface, shows user institute
The corresponding picture of article and inventory information of selection；And when user changes shown inventory information, by article correspondence
Inventory information update.
5. server as claimed in claim 3, it is characterised in that the server also includes the second interactive module, described the
One interactive module is used to show second contact surface, and the second contact surface is used to need to check the article of realtime graphic for user's selection；
Second interactive module is additionally operable to, and when user selects corresponding article by the second contact surface, controls the intelligence
Position where energy machine terminal reaches the article shoots and the realtime graphic photographed is uploaded into the server；And by institute
State the realtime graphic displaying that server is received.
6. a kind of intelligent inventory management system, it is characterised in that including the intelligent inventory management service described in claim 1 to 5
Device, and intelligence machine terminal：
The intelligence machine terminal, the server is sent to for shooting article, and by the image photographed.
7. system as claimed in claim 6, it is characterised in that the object identification module is additionally operable to identify whether into article
The feedback information of work(is sent to the intelligence machine terminal；
The intelligence machine terminal is additionally operable to, when the feedback information is recognition failures, article be re-shoot from another angle.
8. system as claimed in claim 6, it is characterised in that the intelligence machine terminal includes for shooting article：It is described
Intelligence machine terminal carries out article shooting according to predetermined period；
Or, the item identification module, which is additionally operable to send to intelligence machine terminal, wakes up instruction；
The intelligence machine terminal includes for shooting article：The intelligence machine terminal is gone forward side by side according to the wake-up instruction received
Row article is shot.
9. a kind of intelligence machine terminal, it is characterised in that including camera, the second communication component, second processor part, its
In：
The camera, for shooting article；
The second processor part, for shooting the image of the article in warehouse by the camera, and passes through described the
The image photographed is sent to intelligent inventory management server by two communication components.
10. intelligence machine terminal as claimed in claim 9, it is characterised in that second communication component is additionally operable to receive thing
Product identify whether successful feedback information；
The second processor part is used to include by the image that the camera shoots the article in warehouse：In the feedback
When information is recognition failures, article is re-shoot from another angle by the camera.
11. intelligence machine terminal as claimed in claim 9, it is characterised in that the second processor part is used to pass through institute
Stating the image of the article in camera shooting warehouse includes：
Article is shot by the camera according to predetermined period；Or
When second communication component receives wake-up instruction, according to the wake instruction intelligence machine terminal and institute is moved to
State the position progress article shooting for waking up and specifying.
12. a kind of intelligent inventory management method, it is characterised in that including：
Intelligence machine terminal taking article, and the image photographed is sent to intelligent inventory management server；
The intelligent inventory management server receives the image that the intelligence machine terminal taking is arrived, by the intelligence machine
Terminal taking to image recognition determine the article and storage in described image and be saved in inventory information.
13. method as claimed in claim 12, it is characterised in that the intelligent inventory management server passes through to the intelligence
The image recognition that machine terminal is photographed determines that article and storage in described image include：The machine extracted using feature based
Vision technique and the deep learning technology progress object identification based on convolutional neural networks.
14. method as claimed in claim 12, it is characterised in that the intelligent inventory management server also by described image with
The Item Information is saved in inventory information together.
15. method as claimed in claim 14, it is characterised in that the server also shows that the first interface, first boundary
Face is used to need to check the article of inventory information for user's selection；The server is also selected in user by first interface
During corresponding article, the corresponding picture of the displaying selected article of user and inventory information；And change what is shown in user
During inventory information, the corresponding inventory information of the article is updated.
16. method as claimed in claim 15, it is characterised in that the server shows second contact surface, the second contact surface
For needing to check the article of realtime graphic for user's selection；The server also passes through second contact surface selection pair in user
During the article answered, the position where the control intelligence machine terminal reaches the article is shot and by the realtime graphic photographed
Pass to server；And the realtime graphic for receiving server is shown.
17. method as claimed in claim 12, it is characterised in that article is also identified whether successful feedback by the server
Information is sent to the intelligence machine terminal；
The intelligence machine terminal taking article includes：When the feedback information is recognition failures, clapped again from another angle
Take the photograph article.
18. method as claimed in claim 12, it is characterised in that the intelligence machine terminal taking article includes：The intelligence
Energy machine terminal carries out article shooting according to predetermined period；
Or, the server also sends to the intelligence machine terminal and wakes up instruction；
The intelligence machine terminal taking article includes：The intelligence machine terminal instructs according to the wake-up received and carries out thing
Product are shot.
19. a kind of computer program product of intelligent inventory management, the computer program product includes computer-readable deposit
Storage media includes being used for perform claim requirement 12- with computer program mechanism therein, the computer program mechanism is embedded in
In 18 in any methods described each step instruction.
20. a kind of intelligent inventory management server, it is characterised in that including the first communication component, first processor part and deposit
Memory component, wherein：
First communication component, for receiving the image that intelligence machine terminal taking is arrived；
The memory member, for storing inventory information；
The first processor part, for by intelligence machine terminal taking to image recognition determine in described image
Article and storage, and it is saved in the memory member.
21. server as claimed in claim 20, it is characterised in that the image by being arrived to intelligence machine terminal taking
Identification determines that article and storage in described image include：The machine vision technique that is extracted using feature based and based on convolution god
Deep learning technology through network carries out object identification.
22. server as claimed in claim 20, it is characterised in that the first processor part is also by described image and institute
State article and inventory information and be saved in the memory member together.
23. server as claimed in claim 22, it is characterised in that the server is additionally operable to show the first interface, described
First interface is used to need to check the article of inventory information for user's selection；
The server is additionally operable to, and when user selects corresponding article by first interface, displaying user is selected
The corresponding picture of article and inventory information；And when user changes shown inventory information, by the corresponding storage of the article
Information updating.
24. server as claimed in claim 22, it is characterised in that the server is additionally operable to show second contact surface, described
Second contact surface is used to need to check the article of realtime graphic for user's selection；
The server is additionally operable to, and when user selects corresponding article by the second contact surface, controls the intelligence machine
Position where terminal reaches the article shoots and the realtime graphic photographed is uploaded into the server；And by the service
The realtime graphic displaying that device is received.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2016/100132 WO2018053847A1 (en) | 2016-09-26 | 2016-09-26 | Smart inventory management system, server and method, terminal, and program product |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107077659A true CN107077659A (en) | 2017-08-18 |
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ID=59623420
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| Application Number | Title | Priority Date | Filing Date |
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| CN201680002680.8A Pending CN107077659A (en) | 2016-09-26 | 2016-09-26 | A kind of intelligent inventory management system, server, method, terminal and program product |
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| CN (1) | CN107077659A (en) |
| WO (1) | WO2018053847A1 (en) |
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