CN109649916A - A kind of Intelligent cargo cabinet cargo recognition methods and device - Google Patents
A kind of Intelligent cargo cabinet cargo recognition methods and device Download PDFInfo
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- CN109649916A CN109649916A CN201811427143.5A CN201811427143A CN109649916A CN 109649916 A CN109649916 A CN 109649916A CN 201811427143 A CN201811427143 A CN 201811427143A CN 109649916 A CN109649916 A CN 109649916A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
- B65G1/137—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
- B65G1/1373—Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed for fulfilling orders in warehouses
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G1/00—Storing articles, individually or in orderly arrangement, in warehouses or magazines
- B65G1/02—Storage devices
- B65G1/04—Storage devices mechanical
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- Mechanical Engineering (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
This application discloses a kind of Intelligent cargo cabinet cargo recognition methods, comprising: obtains cargo actual gross weight value to be identified；Obtain the type and quantity of corresponding standard cargo；Selection variety classes and the standard cargo of quantity are combined, and obtain each combined standard cargo；The confidence level that each group is closed is calculated according to the cargo actual gross weight value to be identified and each combined standard cargo total weight, and selects maximum confidence；When maximum confidence is greater than pre-set threshold value, cargo to be identified is identified as the corresponding combined standard cargo of maximum confidence.Using technical solution disclosed in the present application, cargo can be rapidly and accurately identified by the variation of goods weight.
Description
Technical field
This application involves field of artificial intelligence, in particular to a kind of Intelligent cargo cabinet cargo recognition methods and device.
Background technique
With the development of artificial intelligence technology, all trades and professions intelligence is also quietly risen.Intelligent cargo cabinet is exactly artificial in this way
Product under intellectual technology.Intelligent cargo cabinet be it is a kind of meet customer need in the environment of not manual intervention, cargo is provided,
And collect a kind of product of currency.Due to easy for installation, when and where is not limited, without special shop-assistant, is got over
Carry out the favor of more businessmans.
But usually cargo is isolated with client with transparent material for current Intelligent cargo cabinet, client can only by counter outside press
Key selects cargo, transmits by counter internal mechanical, and cargo is launched into picking slot.This speed by recognition by pressing keys cargo
Spend slow, customer experience is also bad.
Summary of the invention
This application provides a kind of Intelligent cargo cabinet cargo recognition methods, can quickly move through goods weight variation and come accurately
Identify cargo.The specific scheme is that
A kind of Intelligent cargo cabinet cargo recognition methods, comprising:
Obtain cargo actual gross weight value to be identified；
Obtain the type and quantity of corresponding standard cargo；
Selection variety classes and the standard cargo of quantity are combined, and obtain each combined standard cargo；
Setting for each group conjunction is calculated according to the cargo actual gross weight value to be identified and each combined standard cargo total weight
Reliability, and select maximum confidence；
When maximum confidence is greater than pre-set threshold value, cargo to be identified is identified as the corresponding combination of maximum confidence
Standard cargo.
Further, described to be calculated respectively according to cargo actual gross weight value to be identified with each combined standard cargo total weight
The method of combined confidence level includes:
For each combination, the standard cargo total weight of the cargo actual gross weight value to be identified and the combination is calculated
Between difference absolute value；
Matching rate is obtained according to maximum difference set in advance and the absolute difference；
The confidence level of the combination is obtained according to the matching rate and the corresponding weight of the combination set in advance.
Further, this method further comprises:
When maximum confidence is not more than pre-set threshold value, the information of cargo recognition failures to be identified is returned.
Further,
The method for obtaining cargo actual gross weight value to be identified include: when cargo is removed, it is total according to former cargo
The difference of weight and innage total weight obtains cargo actual gross weight value to be identified；
The method of the type and quantity for obtaining corresponding standard cargo includes: to obtain from existing current cargo path record
Take the type and quantity of possessed standard cargo.
This method further comprises:
When maximum confidence is not more than pre-set threshold value, the information that cargo path places exception items is returned.
Further,
The method for obtaining cargo actual gross weight value to be identified include: when cargo is put back into, it is total according to former cargo
The difference of weight and newest cargo total weight obtains cargo actual gross weight value to be identified；
The method of the type and quantity for obtaining corresponding standard cargo includes: to obtain to be possessed from shopping cart record
Standard cargo type and quantity.
The embodiment of the present application scheme also provides a kind of Intelligent cargo cabinet stock keeping unit, which includes:
First acquisition unit, for obtaining cargo actual gross weight value to be identified；
Second acquisition unit, for obtaining the type and quantity of corresponding standard cargo；
Assembled unit obtains each combined standard goods for selecting the standard cargo of variety classes and quantity to be combined
Object；
Confidence computation unit, for total according to the cargo actual gross weight value to be identified and each combined standard cargo
Weight calculates the confidence level that each group is closed, and selects maximum confidence；
Recognition unit, for when maximum confidence is greater than pre-set threshold value, cargo to be identified to be identified as maximum
The corresponding combined standard cargo of confidence level.
Further, the confidence computation unit includes:
Matching rate computing unit, for calculating the cargo actual gross weight value to be identified and being somebody's turn to do for each combination
The absolute value of difference between combined standard cargo total weight；It is obtained according to maximum difference set in advance and the absolute difference
To matching rate；
Weight calculation unit, for obtaining the combination according to the matching rate and the corresponding weight of the combination set in advance
Confidence level.
The embodiment of the present application also provides a kind of computer readable storage medium, and the computer-readable recording medium storage refers to
It enables, described instruction makes the step of the upper Intelligent cargo cabinet cargo recognition methods of processor execution when executed by the processor
Suddenly.
The embodiment of the present application also provides a kind of Intelligent cargo cabinet, and the Intelligent cargo cabinet includes at least above-mentioned computer-readable deposit
Storage media, and the processor instructed in the computer readable storage medium can be performed.
As seen from the above technical solution, the application includes according to cargo actual gross weight value to be identified and each combined standard
Maximum confidence is calculated in cargo total weight, and when maximum confidence is greater than pre-set threshold value, cargo to be identified is known
It Wei not the corresponding combined standard cargo of maximum confidence.Since the embodiment of the present application can be identified by the variation of goods weight
Cargo avoids mechanical key, can rapidly and accurately identify cargo.
Detailed description of the invention
Fig. 1 is the Intelligent cargo cabinet schematic diagram of the embodiment of the present application method application.
Fig. 2 is the method flow diagram of the embodiment of the present application one.
Fig. 3 is the corresponding apparatus structure schematic diagram of one method of the embodiment of the present application.
Fig. 4 is the method flow diagram of the embodiment of the present application two.
Fig. 5 is the method flow diagram of the embodiment of the present application three.
Fig. 6 is the schematic diagram of internal structure of confidence computation unit L4 in the application Fig. 3.
Specific embodiment
It is right hereinafter, referring to the drawings and the embodiments, for the objects, technical solutions and advantages of the application are more clearly understood
The application is described in further detail.
Fig. 1 is the Intelligent cargo cabinet schematic diagram using the embodiment of the present application method.As shown in Figure 1, Intelligent cargo cabinet includes several
Cargo path, cargo path are used to carry the cargo for needing to sell.Have under each cargo path one for weighing scale, such as electronic scale.Electronics
Processor component of the result meeting Real-time Feedback of weighing to Intelligent cargo cabinet.By processor component according to the weight of feedback according to this Shen
Please the following scheme of embodiment calculated, cargo is quickly recognized according to the variation of weight.
Fig. 2 is the flow chart of one method of the embodiment of the present application.As shown in Figure 1, the weight when each cargo path changes
When, the cargo for leading to weight change can be identified with the following method.This method comprises:
Step S1: cargo actual gross weight value to be identified is obtained.
In practical application, cause the goods weight of a cargo path changed it may be the case that client is from Intelligent cargo cabinet
Remove cargo, it is also possible to client's returned goods in shopping cart.Regardless of situation, it can all lead to the weight of cargo path cargo
Amount changes, the actual gross weight value of this variable quantity i.e. cargo to be identified.
Step S2: the type and quantity of corresponding standard cargo are obtained.
Intelligent cargo cabinet can sell a variety of cargos simultaneously, each cargo path can carry the goods of variety classes and quantity
Object.In general, each cargo is produced according to standard specification, such as the food of various independent packagings, size and weight are all
There is unified standard.Standard cargo described here is exactly the cargo for referring to standard specification.The cargo of standard specification has the weight of standard
Amount.And there are errors in weight for the cargo and standard cargo actually sold.
For each cargo path before selling and during selling, cargo path carries the cargo of which type, and
The weight of the corresponding standard cargo of each cargo can recorde.In addition, be placed in shopping cart when client takes acquisition away, it can also
To record the type of merchandize and quantity in shopping cart.
Step S3: selection variety classes and the standard cargo of quantity are combined, and obtain each combined standard cargo.
Step S4: each group is calculated according to the cargo actual gross weight value to be identified and each combined standard cargo total weight
The confidence level of conjunction, and select maximum confidence.
Confidence level i.e. confidence level described here, the in other words matching between cargo to be identified and combined standard cargo
Degree.Confidence level is bigger, illustrates that a possibility that cargo to be identified is the combination is bigger, otherwise smaller.
Step S5: when maximum confidence is greater than pre-set threshold value, cargo to be identified is identified as maximum confidence
Corresponding combined standard cargo.
Fig. 3 is the corresponding schematic device of one method of the embodiment of the present application.As shown in figure 3, the device includes: the first acquisition
Unit L1, second acquisition unit L2, assembled unit L3, confidence computation unit L4, recognition unit L5.Wherein, first list is obtained
First L1 is for obtaining cargo actual gross weight value to be identified.Second acquisition unit L2 is used to obtain the type of corresponding standard cargo
And quantity.Assembled unit L3 obtains each combined standard goods for selecting the standard cargo of variety classes and quantity to be combined
Object.Confidence computation unit L4 is used for according to the cargo actual gross weight value to be identified and each combined standard cargo total weight
Each combined confidence level is calculated, and selects maximum confidence.Recognition unit L5 is used to be greater than in maximum confidence and preset
Threshold value when, cargo to be identified is identified as the corresponding combined standard cargo of maximum confidence.
That is, the embodiment of the present application one first knows cargo actual gross weight value to be identified, then marked from record
The type and quantity of quasi-goods.The standard cargo of variety classes and quantity is combined, combined weight, and therefrom looked for
To a kind of maximum combination of confidence level.If maximum confidence be greater than threshold value, illustrate cargo to be identified be the combination be that can believe
Appoint, then being identified as the corresponding cargo of the combination.
As previously mentioned, in practical application, cause the goods weight of a cargo path changed it may be the case that client from
Cargo is removed in Intelligent cargo cabinet, it is also possible to client's returned goods in shopping cart.Both of these case is carried out respectively below
Citing.
Fig. 4 is the method flow diagram of the present embodiment two.Assuming that the present embodiment is second is that client causes from certain cargo path taking-up cargo
The cargo path weight changes.As shown in figure 4, this method comprises:
Step M1: it when cargo is removed, is obtained according to the difference of former cargo total weight and innage total weight to be identified
Cargo actual gross weight value.
In practical application, the current goods weight of each cargo path will do it real-time record.It, should before client takes out cargo
Cargo path weight has been recorded with initial value.After client takes cargo away, the electronic scale under cargo path can be weighed out current surplus immediately
Remaining goods weight, then its difference is exactly the cargo actual gross weight value to be identified being removed.
Step M2: the type and quantity of possessed standard cargo are obtained from current cargo path record.
When the weight of some cargo path changes, it can go to inquire the cargo path from corresponding cargo path record and be gathered around
The type and quantity of some standard cargos.For example, cargo path record can indicate as follows:
Table one
Wherein, cargo path 1 carries three kinds of cargos, and cargo A has 8, and cargo B has 5, and cargo C has 7；Cargo path 2 carries
Three kinds of cargos, cargo D have 4, and cargo E has 5, and cargo F has 2.The type and quantity that each cargo path is carried do not limit
System, the bearing space by Intelligent cargo cabinet itself and the requirement to calculating speed determine.In general, counter space is big, each goods
The type of merchandize and quantity that road can carry are also relatively more, but the operation that subsequent combination calculates will increase.
Step M3: selection variety classes and the standard cargo of quantity are combined, and obtain each combined standard cargo.
The type and quantity of standard cargo are obtained from step M2, so that it may which these cargos are subjected to complete combination.With cargo path 1
For, these cargos can be combined as follows: the 1:1 cargo of cargo B+1 of cargo A+1 C of combination；Combine 2:3 cargo
A；A+1 cargo B ... of 3:2 cargo is combined in short, can be obtained by a variety of different combinations by this step.
Step M4: for each combination, the standard goods of the cargo actual gross weight value to be identified and the combination is calculated
The absolute value of difference between object total weight.
After various various combinations are obtained from step M3, the weight of these combinations can be directly calculated.In practical application
It can recorde the standard weights of each cargo, method is as shown in Table 2:
Table two
Assuming that cargo actual gross weight value W to be identified is 300 grams, certain combination is 1 goods of cargo B+1 of cargo A+1
Object C, then w=100+50+80=230 grams of the standard cargo total weight of combination can be calculated in this step.So, to be identified
The absolute value of difference is 300-230=70 grams between cargo actual gross weight value and the standard cargo total weight of the combination.
Step M5: matching rate is obtained according to maximum difference set in advance and the absolute difference.
A maximum difference can be arranged in the present embodiment based on experience value.Because in practical application, since physicals is
It is produced according to standard cargo, although being not necessarily standard weights, differing with the error of standard weights should not be too big.Assuming that this
In be arranged based on experience value maximum difference A be 100 grams, then matching rate p can be indicated are as follows:
P=(100- | 300- (100+50+80) |)/100=0.7
Step M6: the confidence level of the combination is obtained according to the matching rate and the corresponding weight of the combination set in advance.
It based on experience value can be the different weight b of different combination settings in practical application.Such as previous step M5 meter
It calculates matching rate and then utilizes p*b, using its result as confidence level.In practical application, when weight b is arranged, Ke Yikao
Consider: the combined weight of single goods type can be greater than the weight of a variety of cargos combination, the power of original possessed cargo of cargo path
Value can be greater than the weight that non-native cargo path possesses cargo.It assume that the combination pair of 1 cargo of cargo B+1 of cargo A+1 C
The weight answered is set as 5 in advance, then the confidence level that step is calculated just should be 0.7*5=3.5.
How step M4~step M6 is actually one kind according to cargo actual gross weight value to be identified and each combined mark
Quasi-goods total weight calculates the specific method for the confidence level that each group is closed, i.e. the concrete methods of realizing of one step S4 of embodiment, can be with
With formula: b* (A- | W-w |)/A is indicated.Wherein, A indicates that maximum difference, W indicate that cargo actual gross weight value, w indicate standard
Cargo total weight, b indicate combined weight.Setting for the various combinations that step M3 is obtained can be calculated according to above-mentioned this method
Reliability.Certainly, in practical application, confidence level can not also be calculated according to the method described above, as long as cargo to be identified can be indicated
Matching degree between actual gross weight value and combined standard cargo total weight is protected not as the application here
The limitation of range.
Step M7: calculated maximum confidence is selected.
Step M8: judging whether maximum confidence is greater than pre-set threshold value, if it is greater, then executing step M9；It is no
Then, step M10 is executed.
Step M9: cargo to be identified is identified as the corresponding combined standard cargo of maximum confidence, and terminates.
Step M10: the information of cargo recognition failures to be identified is returned, and is terminated.In this step, if calculated according to combination
Maximum confidence out does not reach threshold value, illustrates that the cargo of the cargo path may not placed according to mode set in advance, Ke Nengcun
It in the cargo that other are not belonging to the cargo path, can not settle accounts, therefore alarming is recognition failures.
Using this embodiment scheme, when client, which takes out cargo from some cargo path of Intelligent cargo cabinet, is put into shopping cart,
The scheme that can use the present embodiment two identifies the cargo that client is taken according to weight change.After the purpose of identification cargo is
Continuous Automatic-settlement, to fully achieve the shopping way of no Shopping Guide, artificial intelligence without cashier.
Fig. 5 is the method flow diagram of the present embodiment three.Assuming that the present embodiment is third is that when client retracts cargo from shopping cart
The cargo path weight is caused to change.As shown in figure 5, this method comprises:
Step N1: it when cargo is retired, is obtained according to the difference of former cargo total weight and newest cargo total weight to be identified
Cargo actual gross weight value.
In practical application, the current goods weight of each cargo path will do it real-time record.It, should after client takes out cargo
Cargo path weight has been recorded with initial value.When client's returned goods, the electronic scale under cargo path can be weighed out current cargo immediately
Weight, then its difference is exactly the cargo actual gross weight value to be identified being retired.
Step N2: the type and quantity of possessed standard cargo are obtained from current shopping cart record.
In some cargo path due to returned goods, when weight changes, can go to look into from corresponding shopping cart record
Ask the type and quantity for the standard cargo that shopping cart is possessed.For example, the existing record of shopping cart can indicate as follows:
Table three
Wherein, there are two types of cargo in shopping cart, cargo A has 1, and cargo C has 2
Step N3: selection variety classes and the standard cargo of quantity are combined, and obtain each combined standard cargo.
The type and quantity of standard cargo are obtained from step N2, so that it may which these cargos are subjected to complete combination.With table three
For, these cargos can be combined as follows: 1:1 cargo A of combination；Combine 2:1 cargo C；Combine 3:2 cargo C；Group
A+2 cargo C ... of 4:1 cargo is closed in short, can be obtained by a variety of different combinations by this step.
Step N4: for each combination, the standard goods of the cargo actual gross weight value to be identified and the combination is calculated
The absolute value of difference between object total weight.
After various various combinations are obtained from step N3, the weight of these combinations can be directly calculated.In practical application
It can recorde the standard weights of each cargo, method is still as shown in Table 2.
Assuming that cargo actual gross weight value W to be identified is 79 grams, said combination 1 is 1 cargo A, then this step can be with
W=100 grams of the standard cargo total weight of the combination is calculated.So, cargo actual gross weight value to be identified and the combination
The absolute value of difference is between standard cargo total weight | 79-100 |=21 grams.Similarly, the calculated cargo to be identified of combination 2 is real
The absolute value of difference is between border gross weight magnitude and the standard cargo total weight of the combination | 79-80 |=1 gram.
Step N5: matching rate is obtained according to maximum difference set in advance and the absolute difference.
A maximum difference can be arranged in the present embodiment based on experience value.Because in practical application, since physicals is
It is produced according to standard cargo, although being not necessarily standard weights, differing with the error of standard weights should not be too big.Assuming that this
In be arranged based on experience value maximum difference A be 100 grams, then for combination 1 matching rate p may be calculated: p=(100- |
79-100 |)/100=0.79.The matching rate p of combination 2 may be calculated: p=(100- | 79-80 |)/100=0.99
Step N6: the confidence level of the combination is obtained according to the matching rate and the corresponding weight of the combination set in advance.
It rule of thumb can be the different weight b of different combination settings in practical application.For example previous step M5 is calculated
Out matching rate and then utilize p*b, using its result as confidence level.Assuming that 1 cargo A this to combine corresponding weight prior
Being set as 5,1 cargo C, this combines corresponding weight and is also configured as 5 in advance, then the confidence level calculated for combination 1 is just
It should be 0.79*5=3.95, the confidence level calculated for combination 2 can be for 0.99*5=4.95.
How step N4~step N6 is actually one kind according to cargo actual gross weight value to be identified and each combined mark
Quasi-goods total weight calculates the specific method for the confidence level that each group is closed, i.e. the concrete methods of realizing of one step S4 of embodiment, can be with
With formula: b* (A- | W-w |)/A is indicated.Wherein, A indicates that maximum difference, W indicate that cargo actual gross weight value, w indicate standard
Cargo total weight, b indicate combined weight.Setting for the various combinations that step N3 is obtained can be calculated according to above-mentioned this method
Reliability.Certainly, in practical application, confidence level can not also be calculated according to the method described above, as long as cargo to be identified can be indicated
Matching degree between actual gross weight value and combined standard cargo total weight is protected not as the application here
The limitation of range.
Step N7: calculated maximum confidence is selected.
In the example above, the confidence level for combining 1 is 3.95, and the confidence level for combining 2 is 4.95, it is assumed that the selection combination of this step
2 corresponding confidence levels.
Step N8: judging whether maximum confidence is greater than pre-set threshold value, if it is greater, then executing step M9；It is no
Then, step M10 is executed.
Step N9: cargo to be identified is identified as the corresponding combined standard cargo of maximum confidence, and terminates.
Due to the corresponding combination 2 of maximum confidence, then cargo to be identified is identified as the standard cargo in combination 2, i.e. 1 goods
Object C.Hereafter, it can also be gone to update cargo path record according to the cargo retracted, be used when being bought for subsequent next client.Accordingly
Ground, can also update shopping cart record, and the cargo that will pulled back from is deleted from shopping cart record, correctly settled accounts so as to subsequent.
Step N10: it returns to cargo to be identified and is the information of abnormal cargo, and terminate.In this step, if total according to group
The maximum confidence of calculating does not reach threshold value, illustrates that the cargo retracted may not placed according to mode set in advance, may
Cargo path has been misplaced, therefore has been alarmed as abnormal cargo.
Using this embodiment scheme, when client retracts cargo in Intelligent cargo cabinet from shopping cart, this implementation can use
The scheme of example three identifies the cargo that client is retracted according to weight change.
Step M4~step M6 of above example two and step N4~step N6 of embodiment three be all how basis
Cargo actual gross weight value to be identified and each combined standard cargo total weight calculate the confidence level that each group is closed and provide specific side
Method can use identical method.Fig. 6 is the corresponding apparatus structure schematic diagram of this method, i.e. confidence computation unit L4 in Fig. 3
Schematic diagram of internal structure.As shown in fig. 6, the device includes: matching rate computing unit L41 and weight calculation unit L42.Its
In, matching rate computing unit L41 is used to calculate the cargo actual gross weight value to be identified and the combination for each combination
Standard cargo total weight between difference absolute value；It is obtained according to maximum difference set in advance and the absolute difference
With rate.Weight calculation unit L42 is used to obtain the combination according to the matching rate and the corresponding weight of the combination set in advance
Confidence level.
In practical application, when Intelligent cargo cabinet, which sells out cargo, requires supplementation with cargo, staff can will be required supplementation with
Cargo be placed in corresponding cargo path.Due to there is new cargo to be put into some cargo path, the cargo total weight of the cargo path can occur
Variation, and calculate cargo gross weight magnitude to be identified.The mark for the cargo that cargo gross weight magnitude/cargo path to be identified is possessed at this time
Quasi- weight to obtain the quantity of be put into cargo, and updates cargo path record.
In addition, since the actual weight of cargo and the weight of standard specification have deviation, utilizing implementation in practical application
Example two records its true weight when taking out cargo, i.e., the actual weight of cargo in shopping cart.In this way, when client retract it is certain
When cargo, it may be selected by physicals in shopping cart in step N3 and be combined, and obtain each combined actual weight value.Afterwards
Continuous step N4~step N6 carries out each combined confidence calculations using the actual weight of cargo in shopping cart, it is possible to reduce accidentally
Difference, recognition effect are more acurrate.
The method of the application the various embodiments described above scheme can be the instruction of series of computation machine, these instructions are stored in calculating
In machine readable storage medium storing program for executing, such as ROM, RAM, EPROM, SD card, SM card, mobile hard disk etc., it can be by Intelligent cargo cabinet
Reason device execution, which is stored in computer readable storage medium, to be instructed, to achieve the purpose that identify cargo.
So, there is such a Intelligent cargo cabinet in practical applications.The Intelligent cargo cabinet includes above-mentioned several cargo paths, each
A cargo path has the device that can be weighed, such as electronic scale.Intelligent cargo cabinet further includes computer readable storage medium and place
Device is managed, which can execute to be stored in computer readable storage medium and instruct, to achieve the purpose that identify cargo.
It can be seen that entire scheme is by handling since the embodiment of the present application identifies cargo using the weight change of cargo
For device according to instruction execution, speed is very fast, determines cargo more preferably rapid and convenient, user in the way of mechanical key than existing
It is very good to experience.
The foregoing is merely the preferred embodiments of the application, not to limit the application, all essences in the application
Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the application protection.
Claims (10)
1. a kind of Intelligent cargo cabinet cargo recognition methods characterized by comprising
Obtain cargo actual gross weight value to be identified；
Obtain the type and quantity of corresponding standard cargo；
Selection variety classes and the standard cargo of quantity are combined, and obtain each combined standard cargo；
The confidence level that each group is closed is calculated according to the cargo actual gross weight value to be identified and each combined standard cargo total weight,
And select maximum confidence；
When maximum confidence is greater than pre-set threshold value, cargo to be identified is identified as the corresponding combined mark of maximum confidence
Quasi-goods.
2. the method according to claim 1, wherein described according to cargo actual gross weight value to be identified and each group
The method that the standard cargo total weight of conjunction calculates the confidence level that each group is closed includes:
For each combination, calculate between the cargo actual gross weight value to be identified and the standard cargo total weight of the combination
The absolute value of difference；
Matching rate is obtained according to maximum difference set in advance and the absolute difference；
The confidence level of the combination is obtained according to the matching rate and the corresponding weight of the combination set in advance.
3. method according to claim 1 or 2, which is characterized in that this method further comprises:
When maximum confidence is not more than pre-set threshold value, the information of cargo recognition failures to be identified is returned.
4. according to the method described in claim 3, it is characterized in that,
The method for obtaining cargo actual gross weight value to be identified includes: when cargo is removed, according to former cargo total weight
Cargo actual gross weight value to be identified is obtained with the difference of innage total weight；
The method of the type and quantity for obtaining corresponding standard cargo includes: to obtain institute from existing current cargo path record
The type and quantity of the standard cargo possessed.
5. method according to claim 1 or 2, which is characterized in that this method further comprises:
When maximum confidence is not more than pre-set threshold value, the information that cargo path places exception items is returned.
6. according to the method described in claim 5, it is characterized in that,
The method for obtaining cargo actual gross weight value to be identified includes: when cargo is put back into, according to former cargo total weight
Cargo actual gross weight value to be identified is obtained with the difference of newest cargo total weight；
The method of the type and quantity for obtaining corresponding standard cargo includes: to obtain possessed mark from shopping cart record
The type and quantity of quasi-goods.
7. a kind of Intelligent cargo cabinet stock keeping unit, which is characterized in that the device includes:
First acquisition unit, for obtaining cargo actual gross weight value to be identified；
Second acquisition unit, for obtaining the type and quantity of corresponding standard cargo；
Assembled unit obtains each combined standard cargo for selecting the standard cargo of variety classes and quantity to be combined；
Confidence computation unit, for according to the cargo actual gross weight value to be identified and each combined standard cargo total weight
Each combined confidence level is calculated, and selects maximum confidence；
Recognition unit, for when maximum confidence is greater than pre-set threshold value, cargo to be identified to be identified as maximum confidence
The corresponding combined standard cargo of degree.
8. device according to claim 7, which is characterized in that the confidence computation unit includes:
Matching rate computing unit, for calculating the cargo actual gross weight value to be identified and the combination for each combination
Standard cargo total weight between difference absolute value；It is obtained according to maximum difference set in advance and the absolute difference
With rate；
Weight calculation unit, for obtaining setting for the combination according to the matching rate and the corresponding weight of the combination set in advance
Reliability.
9. a kind of computer readable storage medium, the computer-readable recording medium storage instruction, which is characterized in that the finger
Order executes the processor such as Intelligent cargo cabinet cargo as claimed in any one of claims 1 to 6 knowledge
The step of other method.
10. a kind of Intelligent cargo cabinet, which is characterized in that the Intelligent cargo cabinet includes at least computer as claimed in claim 9 can
Storage medium is read, and the processor instructed in the computer readable storage medium can be performed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811427143.5A CN109649916B (en) | 2018-11-27 | 2018-11-27 | Intelligent container cargo identification method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811427143.5A CN109649916B (en) | 2018-11-27 | 2018-11-27 | Intelligent container cargo identification method and device |
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