CN110210334A - Pig inspects method and device, pig random check system and computer storage medium by random samples - Google Patents
Pig inspects method and device, pig random check system and computer storage medium by random samples Download PDFInfo
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Abstract
The application provides pig sampling observation method, pig casual inspection device, pig random check system and the non-volatile computer readable storage medium storing program for executing in a kind of slaughterhouse.Pig sampling observation method includes: that acquisition and the associated all pigs of traceability code prestore pig face depth image；Obtain the veritification pig face depth image of current pig；Judge to veritify pig face depth image whether with prestore pig face depth image and match；And veritify pig face depth image and it is any prestore pig face depth image and mismatch when, issue prompt information.The pig sampling observation method and device of the application, pig random check system and computer readable storage medium pass through the veritification pig face depth image for judging current pig and prestore whether pig face depth image matches with the associated pig of traceability code, and veritify pig face depth image and it is any prestore pig face depth image and mismatch when, issue prompt information (as prompt pig has been replaced).Since pig face is unique and can not be modified substantially, it is higher to veritify accuracy rate.
Description
Technical field
This application involves information tracing technical field, in particular to the pig sampling observation method in a kind of slaughterhouse, pig sampling observation
Device, pig random check system and non-volatile computer readable storage medium storing program for executing.
Background technique
Currently, user can generally inspect pig by random samples during pig entrucking is transported to slaughterhouse, to guarantee pig
It is not replaced in transportational process, but inspects by random samples to veritify when whether current pig is entrucking often through modes such as ear tag matchings and examine
The pig of epidemic disease qualification, however, ear tag is easily replaced, sampling observation accuracy rate is not high.
Summary of the invention
Presently filed embodiment provides a kind of pig sampling observation method in slaughterhouse, pig casual inspection device, pig sampling observation
System and non-volatile computer readable storage medium storing program for executing.
The pig sampling observation method in the slaughterhouse of the application includes: that acquisition and the associated all pigs of traceability code prestore pig face
Depth image；Obtain the veritification pig face depth image of current pig；Judge the veritification pig face depth image whether with it is described pre-
Deposit the matching of pig face depth image；And it is mismatched in the veritification pig face depth image and any pig face depth image that prestores
When, issue prompt information.
The slaughterhouse of the application pig sampling observation method pass through judge current pig veritification pig face depth image and with chase after
The associated pig of the code that traces back prestores whether pig face depth image matches, and is veritifying pig face depth image and any to prestore pig face deep
When degree image mismatches, issue prompt information (as prompt pig has been replaced).Pig face depth image is used to indicate pig
It is higher to veritify accuracy rate since pig face is unique and can not be modified substantially for identity information.
In some embodiments, described to judge whether the veritification pig face depth image with described prestores pig face depth map
As matching, comprising: judge whether the veritification pig face depth image and the similarity for prestoring pig face depth image reach pre-
Determine similarity；When the veritification pig face depth image and the similarity for prestoring pig face depth image are greater than predetermined similarity
Determine that the veritification pig face depth image and the pig face depth image that prestores match；And in the veritification pig face depth image and
The similarity for prestoring pig face depth image determines the veritification pig face depth image and described pre- when being less than predetermined similarity
Deposit pig face depth image mismatch.
In some embodiments, the pig inspects method by random samples further include: the veritification pig face depth image with it is any
It is described when prestoring the matching of pig face depth image, generate veritify qualified information and be associated with the veritifications qualification information and with the veritification
Pig face depth image is prestored described in pig face depth image is matched.
In some embodiments, the pig inspects method by random samples further include: obtains and the associated all pigs of traceability code
Pig information is prestored, the pig information that prestores is associated with the pig face depth image that prestores；Obtain the veritification pig of current pig
Information；The veritification pig face depth image with it is any it is described prestore pig face depth image and match when, judge the veritification pig
Information whether with match pig information matches, the matching pig information for the matched institute of veritification pig face depth image
It states and prestores that pig face depth image is associated described to prestore pig information；And believe in the veritification pig information and the matching pig
When breath mismatches, the prompt information is issued.
In some embodiments, the pig inspects method by random samples further include: in the veritification pig information and the matching
When pig information matches, generate veritify qualified information and be associated with the veritifications qualification information and with the veritification pig face depth image
Pig face depth image is prestored described in matched.
The pig casual inspection device in the slaughterhouse of the application judges mould including the first acquisition module, the second acquisition module, first
Block and the first cue module.The first acquisition module is used to obtain and traceability code associated all pigs prestore pig face depth
Image；The second acquisition module is used to obtain the veritification pig face depth image of current pig；The first judgment module is used for
Judge whether the veritification pig face depth image matches with the pig face depth image that prestores；And first cue module is used for
The veritification pig face depth image and it is any it is described prestore pig face depth image and mismatch when, issue prompt information.
The pig random check system in the slaughterhouse of the application includes processor and prompting device, and the processor is for obtaining and chasing after
The associated all pigs of the code that traces back prestore pig face depth image；Obtain the veritification pig face depth image of current pig；And judge institute
It states and veritifies whether pig face depth image matches with the pig face depth image that prestores；The prompting device is used in the veritification pig face
Depth image and any described when prestoring pig face depth image and mismatching, issues prompt information.
In some embodiments, the processor is also used to: being judged the veritification pig face depth image and described is prestored
Whether the similarity of pig face depth image reaches predetermined similarity；In the veritification pig face depth image and described to prestore pig face deep
The similarity of degree image determines the veritification pig face depth image and described prestores pig face depth image when being greater than predetermined similarity
Matching；And it is true when the veritification pig face depth image and the similarity for prestoring pig face depth image are less than predetermined similarity
The fixed veritification pig face depth image and the pig face depth image that prestores mismatch.
In some embodiments, the processor is also used to: the veritification pig face depth image with it is any described pre-
When depositing the matching of pig face depth image, generate veritify qualified information and be associated with the qualified information of veritifications and with the veritification pig face depth
The described of degree images match prestores pig face depth image.
In some embodiments, the processor is also used to: acquisition prestores pig with the associated all pigs of traceability code
Information, the pig information that prestores are associated with the pig face depth image that prestores；Obtain the veritification pig information of current pig；
The veritification pig face depth image with it is any it is described prestore pig face depth image and match when, judge that the veritification pig information is
It is no with match pig information matches, the matching pig information be with the veritifications pig face depth image it is matched described in prestore pig
Pig information is prestored described in face depth image is associated.The prompting device is also used in the veritification pig information and the matching
When pig information mismatches, the prompt information is issued.
In some embodiments, the processor is also used to: being believed in the veritification pig information and the matching pig
When breath matching, generates and veritify qualified information and be associated with the veritifications qualification information and matched with the veritification pig face depth image
It is described to prestore pig face depth image.
The one or more of the application embodiment, which includes that the non-volatile computer of computer executable instructions is readable, deposits
Storage media, when the computer executable instructions are executed by one or more processors, so that processor execution is above-mentioned
Pig described in any embodiment inspects method by random samples.
Pig casual inspection device, pig random check system and the non-volatile computer readable storage medium storing program for executing in the application slaughterhouse are logical
Cross the veritification pig face depth image for judging current pig and with the associated pig of traceability code prestore pig face depth image whether
Match, and veritify pig face depth image and it is any prestore pig face depth image and mismatch when, issue prompt information (such as prompt pig
It has only been replaced).Pig face depth image is used to indicate the identity information of pig, since pig face is unique and can not be modified substantially,
Therefore it is higher to veritify accuracy rate.
The additional aspect and advantage of the application will be set forth in part in the description, and will partially become from the following description
It obtains obviously, or recognized by the practice of the application.
Detailed description of the invention
It, below will be to embodiment in order to illustrate more clearly of the application embodiment or technical solution in the prior art
Or attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only
It is some embodiments of the application, for those of ordinary skill in the art, without creative efforts,
It is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow diagram of the pig sampling observation method of the application certain embodiments；
Fig. 2 is the module diagram of the pig casual inspection device of the application certain embodiments；
Fig. 3 is the structural schematic diagram of the pig random check system of the application certain embodiments；
Fig. 4 is the schematic diagram of a scenario of the pig sampling observation method of the application certain embodiments；
Fig. 5 is the flow diagram of the pig sampling observation method of the application certain embodiments；
Fig. 6 is the module diagram of the pig casual inspection device of the application certain embodiments；
Fig. 7 is the flow diagram of the pig sampling observation method of the application certain embodiments；
Fig. 8 is the module diagram of the pig casual inspection device of the application certain embodiments；
Fig. 9 is the flow diagram of the pig sampling observation method of the application certain embodiments；
Figure 10 is the module diagram of the pig casual inspection device of the application certain embodiments；
Figure 11 to Figure 13 is the schematic diagram of a scenario of the pig sampling observation method of the application certain embodiments；
Figure 14 is the flow diagram of the pig sampling observation method of the application certain embodiments；
Figure 15 is the module diagram of the pig casual inspection device of the application certain embodiments；With
Figure 16 is the pig random check system of the application certain embodiments and the connection schematic diagram of storage medium.
Specific embodiment
Presently filed embodiment is described further below in conjunction with attached drawing.Same or similar label is from beginning in attached drawing
To the same or similar element of expression or element with the same or similar functions eventually.In addition, the sheet described with reference to the accompanying drawing
The embodiment of application is exemplary, and is only used for explaining presently filed embodiment, and should not be understood as the limit to the application
System.
Referring to Fig. 1, the pig sampling observation method of the application embodiment includes:
011: acquisition prestores pig face depth image with the associated all pigs of traceability code；
012: obtaining the veritification pig face depth image of current pig；
013: judge to veritify pig face depth image whether with prestore pig face depth image and match；And
014: veritify pig face depth image and it is any prestore pig face depth image and mismatch when, issue prompt information.
Referring to Fig. 2, the pig casual inspection device 10 of the application embodiment includes that the first acquisition module 11, second obtains mould
Block 12, first judgment module 13 and the first cue module 14.First acquisition module 11 is associated all with traceability code for obtaining
Pig prestores pig face depth image.Second acquisition module 12 is used to obtain the veritification pig face depth image of current pig.First
Judgment module 13 for judge veritification pig face depth image whether with prestore pig face depth image and match.First cue module 14 is used
In veritify pig face depth image and it is any prestore pig face depth image and mismatch when, issue prompt information.In other words, it walks
Rapid 011 is realized by the first acquisition module 11, and step 012 realizes that step 013 is by first judgment module 13 by the second acquisition module 12
It realizes, step 014 is realized by the first cue module 14.
Referring to Fig. 3, the pig random check system 100 of the application embodiment includes processor 20 and prompting device 30.Processing
Device 20 is used to obtain and traceability code associated all pigs prestore pig face depth image；The veritification pig face for obtaining current pig is deep
Spend image；And judge to veritify pig face depth image whether with prestore pig face depth image and match.Prompting device 30 is used to veritify pig
Face depth image and any when prestoring pig face depth image and mismatching, issues prompt information.In other words, step 011, step
012 and step 013 can realize that step 014 can be realized by prompting device 30 by processor 20.
Currently, the pig of pork pig is in sale, user needs to arrive first animal quarantine and applies quarantining, then animal quarantine
Quarantine animal doctor is assigned to detect whether the pig to be sold is problematic, and user also needs after quarantine animal doctor completes quarantine to pig farm
Fortune pig vehicle is left for into animal quarantine and applies for quarantine ticket (being quarantine qualification and vendible voucher currently to transport the pig of pig vehicle),
Take quarantine ticket after, can transport to slaughterhouse butcher it is laggard marketing sell.However, pig quarantine complete obtain quarantine ticket it
Afterwards, if being replaced during transporting slaughterhouse to, it is difficult to detect which pig is replaced, therefore, quarantine animal doctor can transport
Toward being inspected by random samples during slaughterhouse, to veritify qualified pig of quarantining when whether current pig is entrucking, but examination at random side
Formula generallys use the mode for veritifying ear tag, and ear tag is easily replaced, and influences the accuracy rate veritified.
Specifically, before pig entrucking, processor 20 obtains collected prestore first and pig face depth image and prestores pig
Information, then association prestores pig face depth image, prestores pig information and preset traceability code.Prestoring pig face depth image can
As the identity information of pig, and can not change.Prestoring pig information may include prestoring body weight parameters, prestoring body temperature parameter etc..
Traceability code can be one-dimension code, two dimensional code or three-dimension code, and the present embodiment is illustrated so that traceability code is two dimensional code as an example, traceability code
Principle is similar when for one-dimension code or three-dimension code, and details are not described herein.Traceability code can be associated with quarantine ticket mentioned above, such as directly
It is imprinted on quarantine ticket.In other words, a qualified vehicle pig of quarantining, which is not only associated with quarantine ticket, (indicates that the vehicle pig has been quarantined conjunction
Lattice), and also include traceability code on ticket of quarantining, user can obtain the qualified pig of the corresponding quarantine of the quarantine ticket by traceability code
Prestore and pig face depth image and prestore pig information.
In examination at random, processor 20 obtains first and traceability code associated all pigs prestore pig face depth image.Example
Such as, pig random check system 100 further includes terminal 40, and terminal 40 includes scanner 48 (such as camera), and user is by using scanning
The mode that device 48 scans traceability code, which is obtained, prestores pig face depth image with traceability code associated all pigs.
Then processor 20 obtains the veritification pig face depth image of current pig.Such as terminal 40 further includes depth camera
42, the depth camera 42 in user's using terminal 40 acquires the veritification pig face depth image of pig currently to be veritified.
After getting veritification pig face depth image and prestoring pig face depth image, pig face depth is veritified in the judgement of processor 20
Image whether with prestore pig face depth image and match.For example, processor 20 veritifies pig face depth image by judgement and prestores pig
The similarity of face depth image is to determine whether matching, is veritifying pig face depth image and prestoring the similarity of pig face depth image
When more than or equal to predetermined similarity (such as 80%), indicates to veritify pig face depth image and prestore the matching of pig face depth image；?
When veritifying pig face depth image and prestoring the similarity of pig face depth image less than predetermined similarity, indicate to veritify pig face depth map
Picture is mismatched with pig face depth image is prestored.
If veritifying pig face depth image and any pig face depth image that prestores mismatching, then it represents that currently pig is not
Same a collection of pig when entrucking, current pig may be replaced.Therefore, pig face depth is prestored with any in veritification pig face depth image
When degree image mismatches, prompting device 30 issues prompt information.As shown in figure 4, prompting device 30 can be the display of terminal 40
44.User inspects the pig in fortune pig vehicle P1 in transit by random samples, and user gets fortune pig vehicle P1 by terminal 40
The veritification pig face depth image of interior pig, veritify pig face depth image and it is any prestore pig face depth image and mismatch when,
44 display reminding information of display: " current pig has been replaced, and please be handled！" when to prompt the current pig of user not being entrucking
With a batch pig；Alternatively, prompting device 30 can also be mobile phone speaker 46, pig face depth is prestored with any veritifying pig face depth image
When degree image mismatches, " current pig has been replaced the sending of loudspeaker 46, please be handled！" prompt tone to prompt user current
Same a collection of pig when pig is not entrucking；Alternatively, veritifying pig face depth image and any prestoring pig face depth image not
Timing, 44 display reminding information of display: " current pig has been replaced, and please be handled！", and loudspeaker 46 issues " current pig
It has been be replaced that, please handle！" prompt tone to prompt user.It is appreciated that user can adopt due to being pressed for time in transit
It takes the mode of examination at random to veritify current pig and whether be replaced with to save the time, but user can also independently select to inspect by random samples or right
Whole pigs are veritified.
Pig sampling observation method, pig casual inspection device 10 and the pig random check system 100 in the slaughterhouse of the application pass through judgement
The veritification pig face depth image of current pig and prestore whether pig face depth image matches with the associated pig of traceability code, and
Veritify pig face depth image and any when prestoring pig face depth image and mismatching, issue prompt information (as prompt pig by
Replacement).Pig face depth image is used to indicate the identity information of pig, since pig face is unique and can not be modified substantially, core
It is higher to test accuracy rate.
In the application embodiment, terminal 40 can be hand held scanning device, mobile phone, tablet computer, laptop, platform
Formula computer, intelligent wearable device (such as smartwatch) terminal device.
Referring to Fig. 5, in some embodiments, step 013 includes:
0131: judge veritify pig face depth image and prestore pig face depth image similarity whether reach make a reservation for it is similar
Degree；
0132: veritifying pig face depth image and prestoring the similarity of pig face depth image more than or equal to predetermined similarity
When, it determines and veritifies pig face depth image and prestore the matching of pig face depth image；And
0133: when veritifying pig face depth image and prestoring the similarity of pig face depth image less than predetermined similarity, really
Surely it veritifies pig face depth image and prestores pig face depth image mismatch.
Referring to Fig. 6, in some embodiments, first judgment module 13 includes judging unit 131, the first determination unit
132 and second determination unit 133.Judging unit 131 is for judging to veritify pig face depth image and prestoring pig face depth image
Whether similarity reaches predetermined similarity.First determination unit 132 is used to veritify pig face depth image and prestore pig face depth
When the similarity of image is greater than or equal to predetermined similarity, determines and veritify pig face depth image and prestore pig face depth image
Match.Second determination unit 133 is used to veritify pig face depth image and prestore the similarity of pig face depth image less than predetermined phase
When seemingly spending, determines and veritify pig face depth image and prestore pig face depth image mismatch.In other words, step 0131 can be by sentencing
Disconnected unit 131 realizes that step 0132 can be realized that step 0133 can be by the second determination unit 133 by the first determination unit 132
It realizes.
Referring to Fig. 3, in some embodiments, processor 20 is also used to judge to veritify pig face depth image and pre-
Whether the similarity for depositing pig face depth image reaches predetermined similarity；It is veritifying pig face depth image and is prestoring pig face depth image
Similarity be greater than or equal to predetermined similarity when, determine veritify pig face depth image and prestore pig face depth image matching；And
When veritifying pig face depth image and prestoring the similarity of pig face depth image less than predetermined similarity, determines and veritify pig face depth
Image is mismatched with pig face depth image is prestored.In other words, step 0131, step 0132 and step 0133 can be by handling
Device 20 is realized.
Specifically, processor 20 is when judging whether to veritify pig face depth image with prestoring pig face depth image and match, head
It first passes through and judges that whether veritify pig face depth image reaches predetermined similarity with the similarity for prestoring pig face depth image, is veritifying
When pig face depth image and the similarity for prestoring pig face depth image are greater than or equal to predetermined similarity, determine and veritify pig face depth
Image is matched with pig face depth image is prestored.It is veritifying pig face depth image and is prestoring the similarity of pig face depth image less than pre-
When determining similarity, determines and veritify pig face depth image and prestore pig face depth image mismatch.For example, predetermined similarity is
85%, matching is indicated when veritifying pig face depth image and prestoring the similarity of pig face depth image more than or equal to 85%,
It then indicates to mismatch when veritifying pig face depth image and prestoring the similarity of pig face depth image less than 85%.In this way, can be fast
Speed judges to veritify pig face depth image and prestores whether pig face depth image matches.
Referring to Fig. 7, in some embodiments, pig inspects method by random samples further include:
015: veritify pig face depth image with it is any prestore pig face depth image and match when, generate veritification qualification information simultaneously
Association veritify qualified information and with veritify that pig face depth image is matched to prestore pig face depth image.
Referring to Fig. 8, in some embodiments, pig casual inspection device 10 further includes the first generation module 15.First is raw
At module 15 be used for veritify pig face depth image with it is any prestore pig face depth image and match when, generate veritification qualification information simultaneously
Association veritify qualified information and with veritify that pig face depth image is matched to prestore pig face depth image.In other words, step 015 can
To be realized by the first generation module 15.
Referring to Fig. 3, in some embodiments, processor 20 be also used to veritify pig face depth image with it is any
When prestoring the matching of pig face depth image, generate veritify qualified information and be associated with the qualified information of veritification and with veritify pig face depth image
It is matched to prestore pig face depth image.In other words, step 015 can be realized by processor 20.
Specifically, there is and veritify pig in associated all prestore in pig face depth image of the judgement of processor 20 and traceability code
Face depth image is matched when prestoring pig face depth image, that is, indicates that same a collection of pig when current pig is entrucking (is quarantined
Qualified pig), be not replaced, produce at this time veritify qualified information and be associated with the qualified information of veritification and with veritify pig face depth
Images match prestores pig face depth image, indicates that current pig has veritified qualification.Similarly, judge and trace in processor 20
Code it is associated it is all prestore in pig face depth image there is no with veritify that pig face depth image is matched prestores pig face depth image
When, it produces to veritify unqualified information (such as pig face is veritified unqualified) and be associated with and veritifies unqualified information and veritify pig face depth map
Picture it is unqualified to indicate that current pig is veritified, it may be necessary to emphasis inspection.In this way, user according to pig face depth image to pig
Information pig can be viewed when being traced whether by veritifying, and veritify it is whether qualified.
In some embodiments, if the veritification pig face depth image of current pig and two or more prestoring pig
The matching of face depth image is then considered as current pig and veritifies qualification, and generates the qualified information of veritification；Pig face depth image will be veritified to make
To prestore pig face depth image and being associated with the qualified information of veritification.
Specifically, processor 20 can will veritify pig face depth image and all pig face depth images that prestores match, at certain
In a little situations, in fact it could happen that the pig face depth image of pigs more than both ends or both ends is more similar, so deep veritifying pig face
Degree image and all when prestoring pig face depth image and being matched, while have a both ends pig prestores pig face depth image and core
Test the matching of pig face depth image.Above situation can still indicate pig when current pig is entrucking, be not replaced, locate at this time
Reason device 20 can directly generate the qualified information of veritification；It is appreciated that when veritifying pig face depth image and two or more pre-
Deposit pig face depth image matching when, indicate that two or more pig face depth images that prestore are not accurate enough, can directly with
It veritifies the replacement of pig face depth image and prestores pig face depth image, as the new identity information of current pig, and qualification will be veritified
Information is associated with pig face depth image is veritified.For example, when that veritifies pig face depth image and two prestores pig face depth image
Timing, indicate current fortune pig car there are two pig prestore pig face depth image be it is inaccurate, will entire fortune pig vehicle
After pig has been veritified, it can find that both ends pig matches two and prestores pig face depth image, so, by this both ends pig
Pig face depth image is veritified as it and prestores pig face depth image, it can be in the subsequent pig face depth image for veritifying this both ends pig
When correctly find and corresponding prestore pig face depth image.To guarantee that every pig only prestores pig face depth image with one
Matching guarantees the accuracy of retrospect.
In other embodiments, processor 20 will veritify pig face depth image and all prestore pig face depth image
When being matched, as long as prestoring pig face depth image as soon as having determined and veritifying the matching of pig face depth image, stop continuation
Prestore pig face depth image with remaining, processor 20, which generates, veritifies qualified information, and be associated with the qualified information of veritification and with veritification
Pig face depth image is matched to prestore pig face depth image, so that operand when reducing veritification, accelerates to veritify speed.
In some embodiments, processor 20 will veritify pig face depth image and with traceability code is associated all prestores pig
Face depth image is matched, with traceability code is associated all prestores in pig face depth image that there are two or more pigs
When face depth image and veritification pig face depth image match, it is unqualified to be considered as current pig veritification.
Specifically, with there are two or more pig face depth maps in the associated all pig face depth images of traceability code
When picture and veritification pig face depth image match, although same a collection of pig (the qualified pig of quarantining when current pig is entrucking
), but the pig information since matched two pigs may be got when subsequent tracing pig information simultaneously, lead to retrospect
Information is not accurate enough.Therefore, when processor 20 determines that current pig veritifies unqualified, gate 72 remains turned-off unqualified to prevent
Pig enters slaughterhouse, and (pig face is deep to prompt the pig of user's entrucking there are similar identity for the sending prompt information of prompting device 34
Spend image) pig.It veritifies underproof pig and can directly come back former vehicle to facilitate and transport former pig farm back and re-start entrucking.Guarantee
All pigs of entrucking only prestore pig face depth image with one and match, and guarantee the accuracy of retrospect.
In some embodiments, veritify pig face depth image and with traceability code is associated any prestores pig face depth map
When as mismatching, the pig farm information of the associated pig of current traceability code is obtained, all pigs on corresponding pig farm are then obtained
Prestore pig face depth image, prestore pig face depth map for veritify pig face depth image and all pigs on corresponding pig farm
As being matched.
Specifically, it is veritifying pig face depth image and is being mismatched with the associated any pig face depth image that prestores of traceability code
When, pig may be replaced.The all of pig face depth image and pig farm corresponding with the associated pig of traceability code will veritified
The pig face depth image that prestores of pig is matched, if still mismatching, current pig is for external pig farm pig or currently
, there is security risk in the unregistered pig in pig farm, it is therefore desirable to emphasis inspection.
Veritify pig face depth image and with traceability code it is associated it is any prestore pig face depth image and mismatch when, may be used also
It can be the exchange (such as the corresponding traceability code of each fortune pig vehicle) that the pig between multiple fortune pig vehicles of pig farm entrucking occurs.With
For the pigs of two fortune pig vehicles are exchanged, transport in pig vehicle A exist veritify pig face depth image and transport pig vehicle A's and traceability code
It is associated it is any prestore the unmatched pig M1 of pig face depth image, but pig M1's and fortune pig vehicle B is associated with traceability code
One prestore pig face depth image matching, similarly, transport pig vehicle B in exist veritify pig face depth image and fortune pig vehicle B with chase after
The code that traces back it is associated it is any prestore the unmatched pig M2 of pig face depth image, but pig M1 and fortune pig vehicle A is closed with traceability code
One of connection prestores the matching of pig face depth image；Above situation illustrates that the pig M1 for transporting pig vehicle A and the M2 of fortune pig vehicle B have occurred
It exchanges, pig M2 need to be only packed into fortune pig vehicle A, pig M1 is packed into fortune pig vehicle B.In this way, pig M1 and pig M2 are not necessarily to
It sends pig farm back to quarantine again and entrucking, avoids the waste of manpower and material resources.
Referring to Fig. 9, in some embodiments, pig inspects method by random samples further include:
016: acquisition prestores pig information with the associated all pigs of traceability code, prestores pig information and prestores pig face depth
Spend image association；
017: obtaining the veritification pig information of current pig；
018: veritify pig face depth image with it is any prestore pig face depth image and match when, judge that veritification pig information is
It is no with match pig information matches, matching pig information is and veritifies the matched pig face depth image that prestores of pig face depth image and close
Connection prestores pig information；And
019: when veritifying pig information and matching pig information mismatches, issuing prompt information.
Referring to Fig. 10, in some embodiments, pig casual inspection device 10 further includes that third acquisition module the 16, the 4th obtains
Modulus block 17, the second judgment module 18 and the second cue module 19.It is associated with traceability code for obtaining that third obtains module 16
All pigs prestore pig information, prestore pig information and are associated with pig face depth image is prestored.4th acquisition module 17 is used for
Obtain the veritification pig information of current pig.Second judgment module 18 is used to prestore pig face with any in veritification pig face depth image
When depth image matches, judge to veritify pig information whether with match pig information matches, matching pig information is and veritification pig
Face depth image is matched to prestore that pig face depth image is associated to prestore pig information.Second cue module 19 is used to veritify pig
When information and matching pig information mismatch, prompt information is issued.In other words, step 016 can obtain module by third
16 realize, step 017 can realize that step 018 can be realized by the second judgment module 18, step by the 4th acquisition module 17
019 can be realized by the second cue module 19.
Referring to Fig. 3, in some embodiments, processor 20 is also used to obtain and the associated all pigs of traceability code
Only prestore pig information, prestore pig information and be associated with pig face depth image is prestored；Obtain the veritification pig letter of current pig
Breath；Veritify pig face depth image with it is any prestore pig face depth image and match when, and judge veritification pig information whether with
With pig information matches, matching pig information is that matched to prestore pig face depth image associated pre- with pig face depth image is veritified
Deposit pig information.Prompting device 30 is also used to issue prompt information when veritifying pig information and matching pig information mismatches.?
I other words step 016, step 017 and step 018 can be realized by processor 20, step 019 can be realized by prompting device 30.
Specifically, processor 20 is obtaining and when prestoring pig face depth image of the associated all pigs of traceability code, acquisition
Pig information is prestored with the associated all pigs of traceability code, wherein is prestored pig information and is associated with pig face depth image is prestored.
And get the veritification pig face depth image of current pig in processor 20 with judge veritify pig face depth image whether with it is any
The matching of pig face depth image is prestored, if matching, obtains the veritification pig information of current pig, then processor 20 judges core again
Test pig information whether with pig information matches are matched (matching pig information is and veritifies that pig face depth image is matched prestores pig
Face depth image is associated to prestore pig information), veritifying pig information and matching pig information mismatch (i.e. current pig core
Test unqualified) when, prompting device 30 issues prompt information.
In example as shown in figure 11, user by the scanner 48 (such as camera) of terminal 40 scan traceability code obtain with
Prestoring for the associated all pigs of traceability code and prestores pig information at pig face depth image.Then user passes through the depth of terminal 40 again
Degree camera 42 acquires the veritification pig face depth image of current pig, and the veritification pig face depth image of the judgement acquisition of processor 20 is
It is no to be matched with any pig face depth image that prestores, it is matched if veritifying pig face depth image with any pig face depth image that prestores,
Prompting device 30 (such as display 44) capable of emitting prompt information: " it is qualified that pig face is veritified, continuing with veritification pig information！" to prompt pig
Face is veritified qualified.
Then processor 20 judge again veritify pig information whether with match pig information matches, wherein matching pig believe
Breath may include matching body weight parameters, matching body temperature parameter etc., and the application embodiment includes matching body weight to match pig information
It is illustrated for parameter and matching body temperature parameter, it will be understood that matching pig information may include more information, such as pig
The pig farm of birth, the pig farm for fattening pig, the kind of pig, the information of vehicles for transporting pig etc., this is not restricted.
Referring to Fig. 3, pig random check system 100 further includes detection device 50.Detection device 50 includes weighing apparatus 52
With temperature sensor 54.Weighing apparatus 52 is used to detect the body weight parameters of current pig.Temperature sensor 54 is mounted on weighing apparatus 52
On, for detecting the body temperature parameter of current pig.User acquires the veritification pig information (packet of current pig by detection device 50
It includes and veritifies body weight parameters and veritification body temperature parameter).Processor 20 veritifies body weight parameters by judgement and matches the difference of body weight parameters
Whether value is greater than predetermined weight difference (such as 10KG), if difference is greater than predetermined weight difference, since pig in transit can not
The so big weight of the loss of energy, so can determine whether that current pig has been replaced, it may be determined that current pig is veritified unqualified.
Processor 20 also can determine whether to veritify body temperature parameter whether default body temperature (default body temperature for pig just
Normal 38.5 degree to 39.5 degree of body temperature) in, if veritification body temperature parameter is not being preset in body temperature, then it represents that pig may be
It is infected in transit, it may be determined that current pig is veritified unqualified.
When current pig veritifies unqualified, prompting device 30 issues prompt information.For example, as shown in Figure 12 and Figure 13,
When veritifying body weight parameters and matching the difference of body weight parameters greater than predetermined weight difference, prompting device 30 (such as display 44) sending is mentioned
Show information: " changes of weight is excessive, and current pig has been replaced, and veritifies unqualified！"；Body temperature parameter is being veritified not in default body temperature
When in range, prompting device 30 issues prompt information: " current pig abnormal body temperature is veritified unqualified！".In this way, either pig face
Depth image or any pig information mismatch, be accordingly to be regarded as veritifying it is unqualified, only in pig face depth image, all pigs
When information matches, just it is judged to veritifying qualification, to further promote the accuracy rate of veritification, pig is prevented to be replaced, prevented
Infected pig enters slaughterhouse in transit.
Figure 14 is please referred to, in some embodiments, pig inspects method by random samples further include:
020: when veritifying pig information and matching pig information matches, generating and veritify qualified information and be associated with veritification qualification
Information and with veritify that pig face depth image is matched prestores pig face depth image.
Figure 15 is please referred to, in some embodiments, pig casual inspection device 10 further includes the second generation module 20.Second is raw
It is used at module 20 when veritifying pig information and matching pig information matches, generates and veritify qualified information and be associated with veritification qualification
Information and with veritify that pig face depth image is matched prestores pig face depth image.In other words, step 020 can be generated by second
Module 20 is realized.
Referring to Fig. 3, in some embodiments, processor 20 is also used to veritifying pig information and matching pig
When information matches, generate veritify qualified information and be associated with the qualified information of veritification and with veritify that pig face depth image is matched to prestore pig
Face depth image.In other words, step 020 can be realized by processor 20.
Specifically, it is veritifying pig face depth image and is prestoring the matching of pig face depth image, and veritifying pig information and matching
When pig information matches, it is qualified to indicate that pig is veritified, it may be determined that current pig is the pig of entrucking, is not replaced, handles at this time
Device 20, which produces, to be veritified qualified information and is associated with the qualified information of veritification and matched to prestore pig face deep with pig face depth image is veritified
Spend image.Similarly, veritify pig face depth image and prestore pig face depth image mismatch or any veritifications pig information with
When matching pig information mismatch, processor 20 can determine whether that pig veritification is unqualified, produces and veritifies unqualified information (such as pig
It is unqualified that face veritification is unqualified, body weight parameters veritify the veritification of unqualified, and/or body temperature parameter) and it is associated with the unqualified information of veritification
With veritification pig face depth image, it is unqualified to indicate that current pig is veritified, it may be necessary to emphasis inspection.In this way, user is subsequent right
The information of pig can view whether pig passes through veritification and pig specifically veritifies information when being traced.
In addition, can re-start quarantine on the spot for veritifying underproof pig, if quarantine is qualified, it is qualified to quarantine
The veritification pig face depth image of pig be associated with traceability code, without sending pig farm back to, entrucking is quarantined again, saves manpower and material resources.
Referring to Fig. 3, in some embodiments, pig random check system 100 further includes cloud server 60, cloud
Server 60 includes processing chip 62, and processing chip 62 can be communicated to connect with terminal 40 and detection device 50.At this point, processing core
The institute that piece 62 can execute the processor 20 in aforementioned any embodiment is functional.In other embodiments, the place of information
Reason can a part be handled by the processor 20 of terminal 40, another part is handled by the processing chip 62 of cloud server 60, can be with
Speed up processing.
Pig sampling observation method, pig casual inspection device 10 and the pig random check system 100 of the application is by judging current pig
Veritification pig face depth image and prestore whether pig face depth image matches with the associated pig of traceability code, and veritifying pig face
Depth image and any when prestoring pig face depth image and mismatching, issues prompt information (as prompt pig has been replaced).Pig
Face depth image is used to indicate the identity information of pig, since pig face is unique and can not be modified substantially, veritifies accuracy rate
It is higher.
Figure 16 is please referred to, embodiment of the present invention additionally provides a or multiple non-comprising computer executable instructions 302
Volatile computer readable storage medium storing program for executing 300.Computer readable storage medium 300 is connect with the processor 20 of traceability system 100.
When computer executable instructions 302 are executed by one or more processors 20, so that processor 20 executes any one of the above
The pig of embodiment inspects method by random samples.
For example, processor 20 executes the pig of following steps when computer executable instructions 302 are executed by processor 20
Sampling observation method:
011: acquisition prestores pig face depth image with the associated all pigs of traceability code；
012: obtaining the veritification pig face depth image of current pig；
013: judge to veritify pig face depth image whether with prestore pig face depth image and match；And
014: veritify pig face depth image and it is any prestore pig face depth image and mismatch when, issue prompt information.
In another example processor 20 executes the pig of following steps when computer executable instructions 302 are executed by processor 20
Only inspect method by random samples:
0131: judge veritify pig face depth image and prestore pig face depth image similarity whether reach make a reservation for it is similar
Degree；
0132: veritifying pig face depth image and prestoring the similarity of pig face depth image more than or equal to predetermined similarity
When, it determines and veritifies pig face depth image and prestore the matching of pig face depth image；And
0133: when veritifying pig face depth image and prestoring the similarity of pig face depth image less than predetermined similarity, really
Surely it veritifies pig face depth image and prestores pig face depth image mismatch.
Although presently filed embodiment has been shown and described above, it is to be understood that above embodiment is
Illustratively, it should not be understood as the limitation to the application, those skilled in the art within the scope of application can be right
Above embodiment is changed, modifies, replacement and variant, and scope of the present application is defined by the claims and their equivalents.
Claims (12)
1. a kind of pig in slaughterhouse inspects method by random samples, which is characterized in that the pig inspects method by random samples and includes:
Acquisition prestores pig face depth image with the associated all pigs of traceability code；
Obtain the veritification pig face depth image of current pig；
Judge whether the veritification pig face depth image matches with the pig face depth image that prestores；And
The veritification pig face depth image and it is any it is described prestore pig face depth image and mismatch when, issue prompt information.
2. pig according to claim 1 inspects method by random samples, which is characterized in that the judgement veritification pig face depth image
Whether matched with the pig face depth image that prestores, comprising:
Judge whether the veritification pig face depth image and the similarity for prestoring pig face depth image reach predetermined similarity；
When the veritification pig face depth image and the similarity for prestoring pig face depth image are greater than predetermined similarity, determine
The veritification pig face depth image and the pig face depth image that prestores match；And
When the veritification pig face depth image and the similarity for prestoring pig face depth image are less than predetermined similarity, determine
The veritification pig face depth image and the pig face depth image that prestores mismatch.
3. pig according to claim 1 inspects method by random samples, which is characterized in that the pig inspects method by random samples further include:
The veritification pig face depth image with it is any it is described prestore pig face depth image and match when, generate and veritify qualified information simultaneously
Be associated with the qualified information of the veritification and with the veritifications pig face depth image it is matched described in prestore pig face depth image.
4. pig according to claim 1 inspects method by random samples, which is characterized in that the pig inspects method by random samples further include:
It obtains and prestores pig information with the associated all pigs of traceability code, it is described to prestore pig information and described to prestore pig face deep
Spend image association；
Obtain the veritification pig information of current pig；
The veritification pig face depth image with it is any it is described prestore pig face depth image and match when, judge the veritification pig letter
Breath whether with match pig information matches, the matching pig information is matched described pre- with the veritification pig face depth image
Deposit that pig face depth image is associated described to prestore pig information；And
When the veritification pig information and the matching pig information mismatch, the prompt information is issued.
5. pig according to claim 4 inspects method by random samples, which is characterized in that the pig inspects method by random samples further include:
In the veritification pig information and the matching pig information matches, generates and veritify qualified information and be associated with the veritification
Qualified information and with the veritification pig face depth image is matched described prestores pig face depth image.
6. a kind of pig casual inspection device in slaughterhouse, which is characterized in that the pig casual inspection device includes:
First obtains module, for obtaining and traceability code associated all pigs prestore pig face depth image；
Second obtains module, for obtaining the veritification pig face depth image of current pig；
First judgment module, for judging whether the veritification pig face depth image matches with the pig face depth image that prestores；
And
First cue module, for being mismatched in the veritification pig face depth image and any pig face depth image that prestores
When, issue prompt information.
7. a kind of pig random check system in slaughterhouse, which is characterized in that the pig random check system includes processor and prompting device,
The processor is used to obtain and traceability code associated all pigs prestore pig face depth image；Obtain the veritification of current pig
Pig face depth image；And judge whether the veritification pig face depth image matches with the pig face depth image that prestores；It is described to mention
Show device for the veritifications pig face depth image and it is any it is described prestore pig face depth image and mismatch when, issue prompt and believe
Breath.
8. pig random check system according to claim 7, which is characterized in that the processor is also used to:
Judge whether the veritification pig face depth image and the similarity for prestoring pig face depth image reach predetermined similarity；
When the veritification pig face depth image and the similarity for prestoring pig face depth image are greater than predetermined similarity, determine
The veritification pig face depth image and the pig face depth image that prestores match；And
When the veritification pig face depth image and the similarity for prestoring pig face depth image are less than predetermined similarity, determine
The veritification pig face depth image and the pig face depth image that prestores mismatch.
9. pig random check system according to claim 7, which is characterized in that the processor is also used to:
The veritification pig face depth image with it is any it is described prestore pig face depth image and match when, generate and veritify qualified information simultaneously
Be associated with the qualified information of the veritification and with the veritifications pig face depth image it is matched described in prestore pig face depth image.
10. pig random check system according to claim 7, which is characterized in that the processor is also used to: obtaining and trace
The associated all pigs of code prestore pig information, and the pig information that prestores is associated with the pig face depth image that prestores；It obtains
Take the veritification pig information of current pig；And in the veritification pig face depth image and any described prestore pig face depth image
Timing, judge the veritification pig information whether with match pig information matches, the matching pig information is and the veritification
Pig face depth image is matched described to prestore that pig face depth image is associated described to prestore pig information；The prompting device is also used to
When the veritification pig information and the matching pig information mismatch, the prompt information is issued.
11. pig random check system according to claim 10, which is characterized in that the processor is also used to:
In the veritification pig information and the matching pig information matches, generates and veritify qualified information and be associated with the veritification
Qualified information and with the veritification pig face depth image is matched described prestores pig face depth image.
12. one or more includes the non-volatile computer readable storage medium storing program for executing of computer executable instructions, when the calculating
When machine executable instruction is executed by one or more processors, so that the processor perform claim requires any one of 1 to 5 institute
The pig sampling observation method stated.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111639629A (en) * | 2020-06-15 | 2020-09-08 | 安徽工大信息技术有限公司 | Pig weight measuring method and device based on image processing and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130125069A1 (en) * | 2011-09-06 | 2013-05-16 | Lubomir D. Bourdev | System and Method for Interactive Labeling of a Collection of Images |
| CN107439477A (en) * | 2017-08-30 | 2017-12-08 | 张爱军 | It is a kind of based on the interactive pig-breeding system and cultural method for tracing system |
| CN107667904A (en) * | 2017-07-27 | 2018-02-09 | 北京奥云牧数据科技有限公司 | Live pig big data system based on technology of Internet of things |
| CN107767137A (en) * | 2016-08-23 | 2018-03-06 | 中国移动通信有限公司研究院 | A kind of information processing method, device and terminal |
| CN107978051A (en) * | 2017-12-15 | 2018-05-01 | 亿城通智能科技（大冶）有限公司 | A kind of access control system and method based on recognition of face |
| CN108022113A (en) * | 2017-12-28 | 2018-05-11 | 深圳春沐源控股有限公司 | Verify method, server and the storage medium of tracing information accuracy |
| CN108447061A (en) * | 2018-01-31 | 2018-08-24 | 深圳市阿西莫夫科技有限公司 | Merchandise information processing method, device, computer equipment and storage medium |
| CN108764109A (en) * | 2018-05-23 | 2018-11-06 | 西安理工大学 | It is a kind of that dog system and method is sought based on dog face image identification technology |
-
2019
- 2019-05-15 CN CN201910406174.0A patent/CN110210334B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130125069A1 (en) * | 2011-09-06 | 2013-05-16 | Lubomir D. Bourdev | System and Method for Interactive Labeling of a Collection of Images |
| CN107767137A (en) * | 2016-08-23 | 2018-03-06 | 中国移动通信有限公司研究院 | A kind of information processing method, device and terminal |
| CN107667904A (en) * | 2017-07-27 | 2018-02-09 | 北京奥云牧数据科技有限公司 | Live pig big data system based on technology of Internet of things |
| CN107439477A (en) * | 2017-08-30 | 2017-12-08 | 张爱军 | It is a kind of based on the interactive pig-breeding system and cultural method for tracing system |
| CN107978051A (en) * | 2017-12-15 | 2018-05-01 | 亿城通智能科技（大冶）有限公司 | A kind of access control system and method based on recognition of face |
| CN108022113A (en) * | 2017-12-28 | 2018-05-11 | 深圳春沐源控股有限公司 | Verify method, server and the storage medium of tracing information accuracy |
| CN108447061A (en) * | 2018-01-31 | 2018-08-24 | 深圳市阿西莫夫科技有限公司 | Merchandise information processing method, device, computer equipment and storage medium |
| CN108764109A (en) * | 2018-05-23 | 2018-11-06 | 西安理工大学 | It is a kind of that dog system and method is sought based on dog face image identification technology |
Non-Patent Citations (1)
| Title |
|---|
| 段延娥: "基于计算机视觉的水产动物视觉特征测量研究综述", 《农业工程学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111639629A (en) * | 2020-06-15 | 2020-09-08 | 安徽工大信息技术有限公司 | Pig weight measuring method and device based on image processing and storage medium |
| CN111639629B (en) * | 2020-06-15 | 2024-02-23 | 安徽工大信息技术有限公司 | Pig weight measurement method and device based on image processing and storage medium |
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|---|---|
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