CN110222725B - Pig checking method, pig checking device and pig checking system - Google Patents
Pig checking method, pig checking device and pig checking system Download PDFInfo
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- CN110222725B CN110222725B CN201910401878.9A CN201910401878A CN110222725B CN 110222725 B CN110222725 B CN 110222725B CN 201910401878 A CN201910401878 A CN 201910401878A CN 110222725 B CN110222725 B CN 110222725B
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Abstract
The application provides a pig checking method, a pig checking device and a pig checking system. The pig checking method comprises the following steps: obtaining prestored pig face depth images of all pigs related to the tracing codes; acquiring a verified pig face depth image and verified body temperature parameters of a current pig; when the verified pig face depth image is not matched with any pre-stored pig face depth image and/or the verified body temperature parameter is out of the preset body temperature range, the current pig is not allowed to enter a slaughter house. According to the pig verification method, the pig verification device and the pig verification system, the pig face depth image can not be modified basically, the detection accuracy rate is high when the pig identity verification is carried out through the pig face depth image, a user can determine whether the current pig is replaced or not according to the prompt information, the pig can be prevented from being replaced, and the detection loophole is made up. In addition, the user can judge whether the pig is infected or not in an auxiliary manner according to the prompt message of the abnormal body temperature of the pig, so that the infected pig is prevented from entering a slaughterhouse.
Description
Technical Field
The application relates to the technical field of information tracing, in particular to a pig checking method, a pig checking device and a pig checking system when a pig enters a slaughterhouse.
Background
China is the biggest pork producing country in the world, and the pork accounts for 65% of the meat yield in China, but the pork quality safety condition in China is poor, and the safety incidents of meat products occur occasionally. In 2005, the ministry of agriculture began to perform animal identification and epidemic disease traceable system construction test points according to relevant laws and regulations, and attempted animal husbandry information construction. However, there are still more difficulties in achieving accurate tracing of pig information.
At present, before a pig is loaded and transported to a slaughterhouse, a user firstly verifies a quarantine ticket when checking the pig, and then detects whether the current pig is the pig which is qualified in quarantine by means of detecting ear tags and the like (for example, whether the ear tag of the current pig is one of the ear tags of all the pigs loaded during loading) so as to ensure that the pig is not replaced in the transportation process. However, the ear tag is easy to replace, the pig can pass the detection only by replacing the ear tag when being replaced, and the detection leak can lead lawless persons to mix in the pig which is not qualified by quarantine. If the mixed pigs which are not qualified by quarantine are just pigs infected with pathogenic bacteria, the pigs infected with the pathogenic bacteria are easy to infect other healthy pigs in the transportation process, once the pigs enter a slaughterhouse, the pigs to be slaughtered in the slaughterhouse can be infected, and if the pigs are normally slaughtered due to omission in spot inspection in the transportation process of the slaughterhouse, the meat of the sick pigs can flow into the market, so that the health of consumers is influenced.
Disclosure of Invention
Embodiments of the present application provide a method of pig verification when entering a slaughterhouse, a pig verification device, and a pig verification system.
The method for checking pigs entering a slaughterhouse comprises the following steps: obtaining prestored pig face depth images of all pigs related to the tracing codes; acquiring a verified pig face depth image and verified body temperature parameters of a current pig; and when the verified pig face depth image is not matched with any one of the pre-stored pig face depth images and/or the verified body temperature parameter is out of a preset body temperature range, the current pig is not allowed to enter the slaughterhouse.
According to the pig verification method, the identity information of each pig is represented through the pig face depth image, the pig face depth image cannot be modified basically, the detection accuracy rate is high when the pig identity verification is carried out, a user can determine whether the current pig is replaced or not according to the prompt information, the pig can be prevented from being replaced, and the detection loopholes are made up. In addition, the user can be according to the unusual suggestion information of pig body temperature supplementary judgement pig and only receive the infection, prevents that the pig that infects from only getting into the slaughterhouse, and the pig that to a certain extent can ensure to get into the slaughterhouse is healthy pig to the pork of guaranteeing to follow the output in the slaughterhouse is healthy pork.
In certain embodiments, the swine only testing method further comprises: judging whether the similarity between the verified pig face depth image and the prestored pig face depth image reaches a preset similarity or not; when the similarity between the verified pig face depth image and the prestored pig face depth image is greater than a preset similarity, determining that the verified pig face depth image is matched with the prestored pig face depth image; and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image.
In certain embodiments, the swine only testing method further comprises: and when the verified pig face depth image is matched with any one of the pre-stored pig face depth images and the verified body temperature parameter is within the preset body temperature range, generating verified qualified information and associating the verified qualified information with the pre-stored pig face depth image matched with the verified pig face depth image.
In certain embodiments, the swine only testing method further comprises: obtaining pre-stored pig information of all pigs related to the tracing code, wherein the pre-stored pig information is related to the pre-stored pig face depth image and comprises pre-stored weight parameters; obtaining the verification weight parameters of the current pig; when the verified pig face depth image is matched with any one of the prestored pig face depth images, judging whether the verified weight parameter is matched with a prestored weight parameter of a matched pig, wherein the matched weight parameter is the prestored weight parameter associated with the prestored pig face depth image matched with the verified pig face depth image; and if not, not allowing the current pig to enter the slaughterhouse.
In some embodiments, when the verified weight parameter matches the matching weight parameter, generating verified information and associating the verified information with the pre-stored pig face depth image matched with the verified pig face depth image.
The pig checking device when entering a slaughterhouse comprises a first obtaining module, a second obtaining module and a first control module. The first acquisition module is used for acquiring prestored pig face depth images of all pigs related to the tracing codes; the second acquisition module is used for acquiring the face depth image and the body temperature parameter of the current pig to be checked; and the first control module is used for not allowing the current pig to enter the slaughterhouse when the verified pig face depth image is not matched with any one of the pre-stored pig face depth images and/or the verified body temperature parameter is out of a preset body temperature range.
The application discloses pig when advancing slaughterhouse only verifies system includes scanner, camera, thermoscope and gate. The scanner is used for acquiring prestored pig face depth images of all pigs related to the tracing codes; the camera is used for acquiring the depth image of the face of the current pig to be checked; the temperature measuring instrument is used for acquiring the verified body temperature parameters of the current pig; and the gate is used for not allowing the current pig to enter the slaughterhouse when the verified pig face depth image is not matched with any one of the pre-stored pig face depth images and/or the verified body temperature parameter is out of a preset body temperature range.
In some embodiments, the verification system further comprises a processor configured to: judging whether the similarity between the verified pig face depth image and the prestored pig face depth image reaches a preset similarity or not; when the similarity between the verified pig face depth image and the prestored pig face depth image is greater than a preset similarity, determining that the verified pig face depth image is matched with the prestored pig face depth image; and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image.
In some embodiments, the verification system further comprises a processor configured to: and when the verified pig face depth image is matched with any one of the pre-stored pig face depth images and the verified body temperature parameter is within the preset body temperature range, generating verified qualified information and associating the verified qualified information with the pre-stored pig face depth image matched with the verified pig face depth image.
In certain embodiments, the assay system further comprises a processor, a scale, and an assay chamber, the scale disposed within the assay chamber, the assay chamber comprising the gate; the processor is configured to: obtaining pre-stored pig information of all pigs related to the tracing code, wherein the pre-stored pig information is related to the pre-stored pig face depth image and comprises pre-stored weight parameters; the weighing device is used for acquiring the verification weight parameters of the current pig; the processor is further configured to determine whether the verified weight parameter matches a matched weight parameter when the verified pig face depth image matches any of the pre-stored pig face depth images, the matched weight parameter being the pre-stored weight parameter associated with the pre-stored pig face depth image that matches the verified pig face depth image; the gate is also used for not allowing the current pig to enter the slaughterhouse when the verified weight parameter is not matched with the matched weight parameter.
In some embodiments, the processor is further configured to: and when the verified weight parameters are matched with the matched weight parameters, generating verified qualified information and associating the verified qualified information with the prestored pig face depth image matched with the verified pig face depth image.
This application is pig when entering slaughterhouse only verifies device and pig only verifies the system and passes through the identity information that every pig was shown to pig face depth image, because pig face depth image can't modify basically, and the detection rate of accuracy when carrying out the pig only identity verification is higher, and the user can confirm according to tip information that the pig is only replaced by the replacement, can prevent that the pig is only replaced, compensaties the detection leak. In addition, the user can be according to the unusual suggestion information of pig body temperature supplementary judgement pig and only receive the infection, prevents that the pig that infects from only getting into the slaughterhouse, and the pig that to a certain extent can ensure to get into the slaughterhouse is healthy pig to the pork of guaranteeing to follow the output in the slaughterhouse is healthy pork.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow chart of a swine review method according to certain embodiments of the present application;
FIG. 2 is a block schematic diagram of a swine testing device according to certain embodiments of the present application;
FIG. 3 is a schematic diagram of the construction of a swine only testing system according to certain embodiments of the present application;
FIGS. 4-6 are schematic views of a pig review method according to certain embodiments of the present application;
FIG. 7 is a schematic flow chart of a swine review method according to certain embodiments of the present application;
FIG. 8 is a block schematic diagram of a swine testing device according to certain embodiments of the present application;
FIG. 9 is a schematic flow chart of a swine review method according to certain embodiments of the present application;
FIG. 10 is a block schematic diagram of a swine testing device according to certain embodiments of the present application;
FIG. 11 is a schematic flow chart of a swine review method according to certain embodiments of the present application;
FIG. 12 is a block schematic diagram of a swine testing device according to certain embodiments of the present application;
FIGS. 13 and 14 are schematic views of a pig test method according to certain embodiments of the present application;
FIG. 15 is a schematic flow chart of a swine review method according to certain embodiments of the present application; and
FIG. 16 is a block schematic diagram of a swine testing device according to certain embodiments of the present application;
Detailed Description
Embodiments of the present application will be further described below with reference to the accompanying drawings. The same or similar reference numbers in the drawings identify the same or similar elements or elements having the same or similar functionality throughout. In addition, the embodiments of the present application described below in conjunction with the accompanying drawings are exemplary and are only for the purpose of explaining the embodiments of the present application, and are not to be construed as limiting the present application.
Referring to fig. 1, a method for verifying pigs entering a slaughterhouse according to an embodiment of the present invention includes:
011: obtaining prestored pig face depth images of all pigs related to the tracing codes;
012: acquiring a verified pig face depth image and verified body temperature parameters of a current pig;
013: when the verified pig face depth image is not matched with any pre-stored pig face depth image and/or the verified body temperature parameter is out of the preset body temperature range, the current pig is not allowed to enter a slaughter house.
Referring to fig. 2, the pig verification device 10 according to the embodiment of the present application includes a first obtaining module 11, a second obtaining module 12, and a first control module 13. The first obtaining module 11 is configured to obtain pre-stored pig face depth images of all pigs associated with the tracing codes. The second obtaining module 12 is configured to obtain a face depth image and a body temperature parameter of a pig under examination of the current pig. The first control module 13 is used for preventing the current pig from entering the slaughter house when the verified pig face depth image is not matched with any pre-stored pig face depth image and/or the verified body temperature parameter is out of the preset body temperature range. That is, step 011 is implemented by the first obtaining module 11, step 012 is implemented by the second obtaining module 12, and step 013 is implemented by the first control module 13.
Referring to fig. 3, a pig verification system 100 for entry into a slaughterhouse according to an embodiment of the present application includes a scanner 32, a camera 40, a thermometer 50, and a gate 72. The scanner 32 is used for acquiring prestored pig face depth images of all pigs related to the tracing codes; the camera 40 is used for acquiring the depth image of the face of the current pig to be checked; the temperature measuring instrument 50 is used for acquiring the verified body temperature parameters of the current pig; the gate 72 is used for preventing the current pig from entering a slaughterhouse when the verified pig face depth image is not matched with any pre-stored pig face depth image and/or the verified body temperature parameter is out of a preset body temperature range. That is, step 011 can be implemented by the scanner 32, and step 012 can be implemented by the camera 40 in cooperation with the thermometer 50, and step 013 can be implemented by the shutter 72.
At present, when pigs in a pork pig farm are sold, a user needs to enter an animal quarantine institute for applying for quarantine, then a quarantine veterinarian assigned by the animal quarantine institute detects whether the pigs to be sold are in question or not, after the quarantine veterinarian finishes the quarantine, the user also needs to drive a pig transporting vehicle to an animal quarantine ticket applied by the animal quarantine institute (the pigs in the current pig transporting vehicle are only certified and marketable certificates), and the pigs can be transported to a slaughter house for sale after the quarantine ticket is taken. However, after the pigs are quarantined to obtain the quarantine ticket, in order to prevent the pigs from being replaced only during transportation to the slaughter house, the quarantine veterinarian checks all the loaded pigs one by one when the pigs are unloaded after transportation to the slaughter house (i.e., the pigs on the vehicle are driven to the slaughter house) to check whether all the pigs are qualified for quarantine when loaded.
Specifically, before loading pigs, the processor 20 (which may be the processor 20 in the terminal 30) first acquires the pre-stored pig face depth images and the pre-stored pig information of all the pigs, and then associates the pre-stored pig face depth images, the pre-stored pig information and the preset trace back code. The pre-stored pig face depth image can be used as the identity information of the pig and cannot be changed. The pre-stored pig information can comprise pre-stored weight parameters, pre-stored body temperature parameters and the like. The tracing code may be a one-dimensional code, a two-dimensional code, or a three-dimensional code, which is described in this embodiment by taking the tracing code as the two-dimensional code as an example, and the principle is similar when the tracing code is the one-dimensional code or the three-dimensional code, and is not described herein again. The traceability code can be associated with the above-mentioned quarantine ticket, e.g. printed directly on the quarantine ticket. That is to say, a car of pigs which are qualified for quarantine is associated with a quarantine ticket (indicating that the car of pigs is qualified for quarantine), the quarantine ticket further comprises a tracing code, and a user can obtain the pre-stored pig face depth image and the pre-stored pig face information of the pig which is qualified for quarantine and corresponds to the quarantine ticket through the tracing code.
Referring to fig. 4, the verification system 100 further includes a terminal 30, a pig unloading table 60, and a verification room 70, the terminal 30 includes a scanner 32, the camera 40 and the thermometer 50 are disposed in the verification room 70, and the verification room 70 further includes a gate 72. When unloading, the user firstly scans the tracing code through the scanner 32 of the terminal 30 to obtain the pre-stored pig face depth images of all pigs associated with the tracing code (i.e. all pigs in the pig transporting vehicle associated with the tracing code). The verification room 70 is associated with the connection code P1, and the user can establish communication connection (such as bluetooth connection) between all devices (the camera 40, the temperature measuring instrument 50, etc.) in the verification room 70 after scanning the connection code P1 by the scanner 32 of the terminal 30, so that the terminal 30 can receive information collected by all devices in the verification room 70 in real time.
And after the acquisition of the pig face depth images of all pigs related to the tracing codes and the preparation work of the communication connection of the equipment are finished, the unloading is formally started. At this time, the pig unloading platform 60 is placed behind the pig transporting vehicle, the pig unloading platform 60 is connected with the verification room 70, pigs only get on and off from the pig transporting vehicle, firstly pass through the pig unloading platform 60, then enter the verification room 70 for verification, and when the verification is not completed, the gate 72 of the verification room 70 is kept closed all the time. After the pigs enter the verification room 70, the camera 40 collects the verified pig face depth images of the current pigs, and the temperature measuring instrument 50 collects the verified body temperature parameters of the current pigs. Then the processor 20 of the terminal 30 communicates with the thermometer 50 and the camera 40, reads the verified pig face depth image collected by the camera 40 and the verified body temperature parameter collected by the thermometer 50, and judges whether the verified pig face depth image is matched with any pre-stored pig face depth image. For example, the processor 20 of the terminal 30 determines whether there is a match by determining the similarity of the verified pig face depth image and the pre-stored pig face depth image. And when the similarity between the verified pig face depth image and any prestored pig face depth image is greater than or equal to (or greater than) a preset similarity (such as 80%), determining that the verified pig face depth image is matched with the prestored pig face depth image. And when the similarity of the verified pig face depth image and any pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with any pre-stored pig face depth image, indicating that the verified pig face depth image is unqualified in verification, and the current pig is not the same batch of pigs during loading and is possibly replaced. At this point, the terminal 30 sends a control command to the gate 72 of the laboratory 70, the gate 72 remaining closed so as not to allow the current pig to enter the slaughterhouse only. In other embodiments, the gate 72 may also be a gate 72 for the entrance to the slaughter house, which gate 72 remains closed to disallow a pig to enter the slaughter house when the pig is not verified.
The terminal 30 may further include a prompter 34, and when the pig face check is not qualified, the prompter 34 sends out a prompt message that the pig face check is not qualified; as shown in fig. 4, the prompter 34 may be a display that displays the prompting message: "unqualified pig face check! "; alternatively, the prompt 34 may be a speaker that emits a "pig face check is not acceptable"! The prompt tone prompts the user that the current pig is not the same pig batch when loading the car; or when the pig face is not qualified in the verification, the display displays prompt information: "unqualified pig face check! ", and the speaker sends out" the pig face is not qualified for verification, please process! "to prompt the user. Therefore, the user is reminded to process the pigs while the pigs which are not qualified in the verification are ensured not to enter a slaughterhouse. At the moment, the user can return the pigs with unqualified checks to the original car so as to conveniently transport the pigs back to the original pig farm.
In another embodiment, the processor 20 of the terminal 30 determines whether the verified body temperature parameter is outside the predetermined body temperature range, and if the verified body temperature parameter is outside the predetermined body temperature range, it indicates that the pig is likely to be infected during transportation, and determines that the current pig is not verified, and the gate 72 is kept closed to prevent the current pig from entering the slaughterhouse. Similarly, the prompter 34 sends out a prompt indicating that the body temperature check is not qualified. As shown in fig. 5, the prompter 34 (display) displays the prompt information: "abnormal body temperature of pig, please handle! "; alternatively, the reminder 34 (speaker) may issue a "swine fever is abnormal! "prompt tone to prompt; or when the body temperature check is not qualified, the display displays prompt information: "abnormal body temperature of pig, please handle! ", and the speaker emits" the temperature of the pig is abnormal, please process! "to prompt the user. If the temperature checking parameter is in the preset temperature range, the temperature of the current pig is determined to be normal, and the temperature of the current pig is checked to be qualified.
In yet another embodiment, the processor 20 of the terminal 30 determines whether the verified pig face depth image matches any of the pre-stored pig face depth images and determines whether the verified body temperature parameter is outside of a predetermined body temperature range. When the verified pig face depth image and any pre-stored pig face depth image are not matched and the verified body temperature parameter is out of the preset body temperature range, it can be determined that the pig is only abnormal in body temperature and possibly replaced, and the prompter 34 sends out prompt information that the pig face verification is unqualified and the pig body temperature is abnormal. Gate 72 remains closed to disallow the current pig from entering the slaughterhouse only. Similarly, as shown in fig. 6, the prompter 34 (display) displays the prompt information: "unqualified face check and abnormal body temperature of pig! "; alternatively, the prompt 34 (speaker) sends out "the pig face is not qualified, the body temperature of the pig is abnormal! The prompt tone prompts the user that the current pig is not the same pig batch when loading the car; or when the pig face and the body temperature are both checked to be unqualified, the display displays prompt information: "unqualified face check and abnormal body temperature of pig! ", and the loudspeaker sends out" the pig face is unqualified for verification, the body temperature of the pig is abnormal, please process! "prompt tone to prompt user, the processing method at this time includes: the pig is quickly isolated from the healthy pig, transported back to the original pig farm, and the replaced pig on the same vehicle is checked more carefully. Thus, the prompter 34 can send out corresponding prompt information at the face check reject and/or the body temperature check reject of each pig, and the user can determine whether the pig is the face check reject caused by replacement or the body temperature check reject caused by infection during the transportation of the pig according to the prompt information, and if the pig is the face check reject caused by replacement, the user can also judge whether the replaced pig is infected, so that the worker can conveniently treat the pig by classification. For example, if the pig belongs to a replaced non-infected pig, the treatment mode comprises the following steps: conveying the pig back to the original pig farm; if the pig belongs to the replaced and infected pig, the treatment mode comprises the following steps: quickly isolating healthy pigs, transferring the pigs to the original pig farm by changing the vehicles, informing the original pig farm of infection, and performing more careful verification on the replaced pigs on the same vehicle, such as rechecking to prevent the infection of the replaced pigs by the infected pigs from being undetected.
According to the pig verification method, the pig verification device 10 and the pig verification system 100 when the pig enters the slaughterhouse, the identity information of each pig is represented through the pig face depth image, the pig face depth image cannot be modified basically, the detection accuracy rate is high when the pig identity verification is carried out, a user can determine whether the current pig is replaced or not according to the prompt information, the pig can be prevented from being replaced, and the detection loopholes are made up. In addition, the user can be according to the unusual suggestion information of pig body temperature supplementary judgement pig and only receive the infection, prevents that the pig that infects from only getting into the slaughterhouse, and the pig that to a certain extent can ensure to get into the slaughterhouse is healthy pig to the pork of guaranteeing to follow the output in the slaughterhouse is healthy pork.
In the embodiment of the present application, the terminal 30 may be a handheld scanning device, a mobile phone, a tablet computer, a notebook computer, a desktop computer, an intelligent wearable device (such as an intelligent watch), or other terminal devices.
In some embodiments, the laboratory 70 includes two gates 72, the two gates 72 controlling the movement of pigs into and out of the laboratory 70, respectively, and the two gates 72 do not open simultaneously.
Specifically, the two gates 72 (e.g., gate A and gate B, respectively) of the laboratory 70 do not open simultaneously. For example, the pig enters from the gate A and exits from the gate B, the gate A is opened firstly when the pig enters the verification room 70, the gate A is closed after the pig enters the verification room 70, and the gate B is opened after the pig is verified to be qualified, so that the pig enters the slaughtering area of the slaughterhouse from the gate B. Therefore, the pigs entering the verification room 70 can be guaranteed to enter a slaughterhouse only after being verified to be qualified, two pigs cannot enter the verification room 70 at the same time, one pig is verified at a time, and verification is accurate.
Referring to fig. 7, in some embodiments, the swine review method further comprises:
014: judging whether the similarity of the verified pig face depth image and the prestored pig face depth image reaches a preset similarity or not;
015: when the similarity between the verified pig face depth image and the prestored pig face depth image is greater than the preset similarity, determining that the verified pig face depth image is matched with the prestored pig face depth image; and
016: and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image.
Referring to fig. 8, in some embodiments, the pig verification device 10 further includes a first determination module 14, a first determination module 15, and a second determination module 16. The first judging module 14 is configured to judge whether the similarity between the verified pig face depth image and the pre-stored pig face depth image reaches a predetermined similarity. The first determining module 15 is configured to determine that the verified pig face depth image matches the pre-stored pig face depth image when the similarity between the verified pig face depth image and the pre-stored pig face depth image is greater than a predetermined similarity. The second determining module 16 is configured to determine that the verified pig face depth image is not matched with the pre-stored pig face depth image when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than a predetermined similarity. That is, step 014 may be implemented by the determination module 14, step 015 may be implemented by the first determination module 15, and step 016 may be implemented by the second determination module 16.
Referring again to fig. 3, in some embodiments, the verification system 100 further includes a processor 20, and the processor 20 is further configured to determine whether the similarity between the verified pig face depth image and the pre-stored pig face depth image reaches a predetermined similarity; when the similarity between the verified pig face depth image and the prestored pig face depth image is greater than the preset similarity, determining that the verified pig face depth image is matched with the prestored pig face depth image; and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image. That is, step 014, step 015, and step 016 may be implemented by the processor 20.
Specifically, when determining whether the verified pig face depth image matches the pre-stored pig face depth image, the processor 20 first determines that the verified pig face depth image matches the pre-stored pig face depth image by determining whether the similarity between the verified pig face depth image and the pre-stored pig face depth image reaches a predetermined similarity, and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is greater than or equal to the predetermined similarity, determines that the verified pig face depth image matches the pre-stored pig face depth image. And when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image. For example, the predetermined similarity is 85%, and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is greater than or equal to 85%, matching is indicated, and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is less than 85%, mismatching is indicated. Therefore, whether the verified pig face depth image is matched with the prestored pig face depth image can be quickly judged.
Referring to fig. 9, in some embodiments, the swine review method further comprises:
017: and when the verified pig face depth image is matched with any pre-stored pig face depth image and the verified body temperature parameter is within the preset body temperature range, generating verified qualified information and associating the verified qualified information with the pre-stored pig face depth image matched with the verified pig face depth image.
Referring to fig. 10, in some embodiments, the swine verification apparatus 10 further comprises a first generation module 17. The first generation module 17 is configured to generate the qualified verification information and associate the qualified verification information with the pre-stored pig face depth image matched with the depth image of the verified pig face when the depth image of the verified pig face is matched with any pre-stored pig face depth image and the verified body temperature parameter is within the predetermined body temperature range. That is, step 017 may be realized by the first generation module 17.
Referring again to fig. 3, in some embodiments, the processor 20 is further configured to generate the qualification information and associate the qualification information with the pre-stored pig face depth image matched with the verified pig face depth image when the verified pig face depth image is matched with any of the pre-stored pig face depth images and the verified body temperature parameter is within the predetermined body temperature range. That is, step 017 may be carried out by processor 20.
Specifically, when the processor 20 determines that the prestored pig face depth image matched with the verified pig face depth image exists in all the prestored pig face depth images associated with the traceback code, that is, the current pig is the same pig (that is, a qualified pig) during loading, and is not replaced. Then the processor 20 judges whether the verified body temperature parameter of the current pig is within the preset body temperature range, and when the verified body temperature parameter is within the preset body temperature range, the body temperature of the current pig is normal. At this time, the processor 20 may generate the verification-qualified information and associate the verification-qualified information with the pre-stored pig face depth image matched with the verified pig face depth image, indicating that the current pig is verified to be qualified. Similarly, when the processor 20 determines that there is no pre-stored pig face depth image matching the verified pig face depth image in all the pre-stored pig face depth images associated with the tracing code and/or when the verified body temperature parameter is outside the predetermined body temperature range, it may generate the unqualified verified information (e.g., unqualified pig face verification, unqualified body temperature verification, etc.) and associate the unqualified verified information with the verified pig face depth image, indicating that the current pig is only unqualified for verification and may need to be re-emphasized for inspection. That is, the prompter 34 generates the corresponding generation verification failure information at the same time as the prompt information is sent. Therefore, when the user traces the information of the pig according to the pig face depth image, the user can check whether the pig is checked or not and the specific checking qualified information of the pig.
In some embodiments, if the verified pig face depth image of the current pig is matched with two or more pre-stored pig face depth images, the current pig is considered to be verified to be qualified, and verification qualified information is generated; and taking the verified pig face depth image as a prestored pig face depth image and associating verified qualified information.
Specifically, processor 20 may match the verified pig face depth image with all pre-stored pig face depth images, and in some cases, it may happen that the pig face depth images of two or more pigs are similar, so when the verified pig face depth image is matched with all pre-stored pig face depth images, the pre-stored pig face depth images of two pigs are matched with the verified pig face depth image. The above situation still indicates that the current pig is the pig loaded in the car and is not replaced, and the processor 20 can directly generate the verification qualified information; it can be understood that when the verified pig face depth image is matched with two or more pre-stored pig face depth images, the two or more pre-stored pig face depth images are not accurate enough, the pre-stored pig face depth images can be directly replaced by the verified pig face depth images to serve as new identity information of the current pig, and the verified qualified information is associated with the verified pig face depth images. For example, when the verified pig face depth image is matched with the two pre-stored pig face depth images, the pre-stored pig face depth images of two pigs in the current pig transporting vehicle are inaccurate, and after the pigs of the whole pig transporting vehicle are verified, the two pigs can be found to be matched with the two pre-stored pig face depth images, so that the verified pig face depth images of the two pigs serve as the pre-stored pig face depth images, and the corresponding pre-stored pig face depth images can be accurately found in the subsequent verification of the pig face depth images of the two pigs. Therefore, each pig is matched with one pre-stored pig face depth image, and the tracing accuracy is guaranteed.
In other embodiments, when matching the verified pig face depth image with all the pre-stored pig face depth images, the processor 20 stops continuously matching the remaining pre-stored pig face depth images as long as it is determined that one pre-stored pig face depth image matches the verified pig face depth image, and the processor 20 generates verified information and associates the verified information with the pre-stored pig face depth image matching the verified pig face depth image, thereby reducing the amount of operation in verification and increasing the verification speed.
In some embodiments, the processor 20 matches the verified pig face depth image with all pre-stored pig face depth images associated with the traceback code, and when there are two or more pig face depth images in all pre-stored pig face depth images associated with the traceback code that match the verified pig face depth image, the current pig is deemed to be not qualified for verification.
Specifically, when two or more pig face depth images are matched with the verified pig face depth image in all pig face depth images associated with the tracing code, although the current pig is the same pig (i.e. qualified pig) when loading, the information of the two matched pigs may be simultaneously obtained when the information of the pig is subsequently traced, so that the traced information is not accurate enough. Thus, when the processor 20 determines that the current pig is not eligible for verification, the gate 72 remains closed to prevent the ineligible pig from entering the slaughter house, and the prompter 34 issues a prompt to prompt the user that the loaded pig has only pigs of similar identity (pig face depth image). The pigs which are not qualified in the verification test can only be directly returned to the original pig farm to be conveniently transported to the original pig farm for loading again. All pigs loaded on the car are matched with one prestored pig face depth image, and the tracing accuracy is guaranteed.
In some embodiments, when the verified pig face depth image is not matched with any pre-stored pig face depth image associated with the tracing code, obtaining pig farm information of a pig associated with the current tracing code, and then obtaining pre-stored pig face depth images of all pigs in the corresponding pig farm, so as to match the verified pig face depth image with the pre-stored pig face depth images of all pigs in the corresponding pig farm.
In particular, a pig may only have been replaced when the verified pig face depth image does not match any of the pre-stored pig face depth images associated with the traceback code. And matching the verified pig face depth image with the prestored pig face depth images of all pigs in a pig farm corresponding to the pigs associated with the tracing codes, wherein if the verified pig face depth images are not matched with the prestored pig face depth images, the current pigs are only external pigs in the pig farm or unregistered pigs in the current pig farm, and potential safety hazards exist, so that key inspection is needed.
When the verified pig face depth image is not matched with any pre-stored pig face depth image associated with the traceability codes, the interchange of pigs among a plurality of pig transporting vehicles loaded in a pig farm can be possible (for example, each pig transporting vehicle corresponds to one traceability code). Taking the example that the pigs of the two pig transporting vehicles are interchanged, the pig transporting vehicle A has a pig M1 with a verified pig face depth image which is not matched with any pre-stored pig face depth image associated with the tracing code of the pig transporting vehicle A, but the pig M1 is matched with one pre-stored pig face depth image associated with the tracing code of the pig transporting vehicle B, and similarly, the pig transporting vehicle B has a pig M2 with a verified pig face depth image which is not matched with any pre-stored pig face depth image associated with the tracing code of the pig transporting vehicle B, but the pig M2 is matched with one pre-stored pig face depth image associated with the tracing code of the pig transporting vehicle A; in the above situation, the pig M1 of the pig transport vehicle A and the pig M2 of the pig transport vehicle B are exchanged, and the pig M2 is only required to be loaded into the pig transport vehicle A, and the pig M1 is only required to be loaded into the pig transport vehicle B. Therefore, the pigs M1 and the pigs M2 do not need to be sent back to a pig farm for re-quarantine and loading, and waste of manpower and material resources is avoided.
Referring to fig. 11, in some embodiments, the swine review method further comprises:
018: obtaining pre-stored pig information of all pigs related to the tracing codes, wherein the pre-stored pig information is related to a pre-stored pig face depth image and comprises pre-stored weight parameters;
019: obtaining the verification weight parameters of the current pig;
020: when the verified pig face depth image is matched with any pre-stored pig face depth image, judging whether the verified weight parameter is matched with the matched weight parameter, wherein the matched weight parameter is a pre-stored weight parameter associated with the pre-stored pig face depth image matched with the verified pig face depth image; and
021: if not, the current pig is not allowed to enter the slaughter house.
Referring to fig. 12, in some embodiments, the swine verification apparatus 10 further includes a third obtaining module 18, a fourth obtaining module 19, a second determining module 20, and a second control module 21. The third obtaining module 18 is configured to obtain pre-stored pig information of all pigs associated with the tracing code, where the pre-stored pig information is associated with a pre-stored pig face depth image, and the pre-stored pig information includes pre-stored weight parameters. The fourth obtaining module 19 is configured to obtain the check weight parameter of the current pig. The second judging module 20 is configured to judge whether the verified weight parameter matches with the matching weight parameter when the verified pig face depth image matches with any pre-stored pig face depth image, and the matching weight parameter is a pre-stored weight parameter associated with the pre-stored pig face depth image matching with the verified pig face depth image. The second control module 21 is configured to not allow the current pig to enter the slaughterhouse only when the verified weight parameter and the matched weight parameter do not match. That is, step 018 can be implemented by the third acquiring module 18, step 019 can be implemented by the fourth acquiring module 19, step 020 can be implemented by the second determining module 20, and step 021 can be implemented by the second controlling module 21.
Referring again to FIG. 3, in some embodiments, the verification system 100 further includes a scale 80. The weighing device 80 is arranged in the verification chamber 70, and the verification chamber 70 comprises a gate 72; the processor 20 is configured to: obtaining pre-stored pig information of all pigs related to the tracing codes, wherein the pre-stored pig information is related to a pre-stored pig face depth image and comprises pre-stored weight parameters; the weighing device 80 is used for acquiring the weight parameters of the current pigs for verification; the processor 20 is further configured to determine whether the verified weight parameter matches the matching weight parameter when the verified pig face depth image matches any of the pre-stored pig face depth images, the matching weight parameter being a pre-stored weight parameter associated with the pre-stored pig face depth image matching the verified pig face depth image; the gate 72 is also used to disallow the current pig from entering the slaughterhouse only if the verified weight parameter and the matched weight parameter do not match. That is, steps 018 and 020 can be implemented by the processor, step 019 can be implemented by the weigher 80, and step 021 can be implemented by the gate 72.
Specifically, when acquiring the pre-stored pig face depth images of all pigs associated with the tracing code, the processor 20 may further acquire pre-stored pig information of all pigs associated with the tracing code, where the pre-stored pig information is associated with the pre-stored pig face depth images, and the pre-stored pig information includes pre-stored weight parameters. And the processor 20 acquires the verified pig face depth image of the current pig to judge whether the verified pig face depth image matches with any pre-stored pig face depth image, and if the verified pig face depth image matches with any pre-stored pig face depth image, as shown in fig. 13, the prompter 34 (display) sends out prompt information: "the pig face is qualified, please continue to check the weight of the pig! ". Then, the processor 20 obtains the check weight parameter of the current pig collected by the weigher 80, and then judges whether the check weight parameter matches with the matching weight parameter (the matching weight parameter is a prestored weight parameter associated with a prestored pig face depth image matched with the checked pig face depth image). For example, after obtaining the check weight parameter, the processor 20 determines whether the difference between the check weight parameter and the matching weight parameter is greater than a predetermined weight difference (e.g., 10KG), and if the difference is greater than the predetermined weight difference, since the pig cannot lose such a large weight during transportation, it may be determined that the current pig has been replaced, and it may be determined that the weight check of the current pig is not qualified. When the check weight parameter and the matching weight parameter do not match (i.e., the current pig is not checked), the gate 72 remains closed to prevent the pig from entering the slaughter house, and the prompter 34 sends a prompt, as shown in fig. 13, the prompter 34 (display) sends a prompt: "too much weight change, current pig has been replaced, and the verification is not qualified! "to indicate that the weight check is not qualified. In this way, the processor 20 can determine whether the pig is replaced according to the weight conservation of the pig, not only by using the pig face depth image, but also by determining whether the pig is replaced, so that the detection accuracy can be improved.
It is understood that the processor 20 may also determine whether more information of the pig under examination (such as the variety of the pig under examination) matches with the corresponding information of the pig under examination (the variety of the pig under examination) to determine whether the current pig is replaced, which is not limited herein.
Referring to fig. 15, in some embodiments, the swine review method further comprises:
022: and when the verified weight parameters are matched with the matched weight parameters, generating verified qualified information and associating the verified qualified information with the prestored pig face depth image matched with the verified pig face depth image.
Referring to fig. 16, in some embodiments, the swine-only testing device 10 further includes a second generation module 22. The second generating module 22 is configured to generate the verification-qualified information and associate the verification-qualified information with the pre-stored pig face depth image matched with the verified pig face depth image when the verified weight parameter is matched with the matched weight parameter. That is, step 022 can be implemented by the second generating module 22.
Referring again to fig. 3, in some embodiments, the processor 20 is further configured to generate the qualifying information and associate the qualifying information with the pre-stored pig face depth image that matches the verified pig face depth image when the verified weight parameter matches the matching weight parameter. That is, step 022 may be implemented by processor 20.
Specifically, when the verified pig face depth image is matched with the pre-stored pig face depth image and the verified weight parameter is matched with the matched weight parameter, the verification of the pig is qualified, it can be determined that the current pig is the loaded pig and is not replaced, and at this time, the processor 20 can generate the verified information and associate the verified information with the pre-stored pig face depth image matched with the verified pig face depth image. Similarly, when the depth image of the pig face to be verified is not matched with the depth image of the prestored pig face, or the weight parameter to be verified is not matched with the matched weight parameter, the processor 20 may determine that the pig is not qualified for verification, may generate information of unqualified verification (e.g., unqualified pig face verification, unqualified weight parameter verification, etc.) and associate the information of unqualified verification with the depth image of the pig face to be verified, which indicates that the current pig is not qualified for verification, and may need to be re-emphatically checked. Therefore, the user can check whether the pig is verified or not and the specific qualified information of the pig when tracing the information of the pig in the following process.
Referring again to fig. 3, in some embodiments, the pig verification system 100 further includes a cloud server 90, the cloud server 90 includes a processing chip 92, and the processing chip 92 can be communicatively connected to the terminal 30, the camera 40, the thermometer 50, the verification chamber 70, and the weighing device 80. At this time, the processing chip 62 may perform all the functions of the processor 20 in any of the foregoing embodiments. In other embodiments, a part of the processing of the information may be processed by the processor 20 of the terminal 30, and another part of the processing may be processed by the processing chip 92 of the cloud server 90, so as to increase the processing speed.
According to the pig verification method, the pig verification device 10 and the pig verification system 100 when the pig enters the slaughterhouse, the identity information of each pig is represented through the pig face depth image, the pig face depth image cannot be modified basically, the detection accuracy rate is high when the pig identity verification is carried out, a user can determine whether the current pig is replaced or not according to the prompt information, the pig can be prevented from being replaced, and the detection loopholes are made up. In addition, the user can be according to the unusual suggestion information of pig body temperature supplementary judgement pig and only receive the infection, prevents that the pig that infects from only getting into the slaughterhouse, and the pig that to a certain extent can ensure to get into the slaughterhouse is healthy pig to the pork of guaranteeing to follow the output in the slaughterhouse is healthy pork.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations of the above embodiments may be made by those of ordinary skill in the art within the scope of the present application, which is defined by the claims and their equivalents.
Claims (11)
1. A method of verifying pigs as they enter a slaughterhouse, the method comprising:
obtaining prestored pig face depth images of all pigs related to the tracing codes, wherein each pig transporting vehicle corresponds to one tracing code;
acquiring a verified pig face depth image and verified body temperature parameters of a current pig; and
when the verified pig face depth image is not matched with any one of the prestored pig face depth images and/or the verified body temperature parameter is out of a preset body temperature range, the current pig is not allowed to enter the slaughter house,
when the verified pig face depth image is matched with two or more pre-stored pig face depth images, replacing the pre-stored pig face depth image with the verified pig face depth image to serve as new identity information of the current pig, and associating verified qualified information with the verified pig face depth image;
the method comprises the steps of checking a pig face depth image, obtaining pig farm information of pigs related to a current tracing code when the pre-stored pig face depth image is not matched with the tracing code, obtaining all pigs of a corresponding pig farm, and matching the pre-stored pig face depth image with the checked pig face depth image.
2. The method of claim 1, further comprising:
judging whether the similarity between the verified pig face depth image and the prestored pig face depth image reaches a preset similarity or not;
when the similarity between the verified pig face depth image and the prestored pig face depth image is greater than a preset similarity, determining that the verified pig face depth image is matched with the prestored pig face depth image; and
and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image.
3. The method of claim 1, further comprising:
and when the verified pig face depth image is matched with any one of the pre-stored pig face depth images and the verified body temperature parameter is within the preset body temperature range, generating verified qualified information and associating the verified qualified information with the pre-stored pig face depth image matched with the verified pig face depth image.
4. The method of claim 1, further comprising:
obtaining pre-stored pig information of all pigs related to the tracing code, wherein the pre-stored pig information is related to the pre-stored pig face depth image and comprises pre-stored weight parameters;
obtaining the verification weight parameters of the current pig;
when the verified pig face depth image is matched with any one of the prestored pig face depth images, judging whether the verified weight parameter is matched with a matched weight parameter, wherein the matched weight parameter is the prestored weight parameter associated with the prestored pig face depth image matched with the verified pig face depth image; and
if not, the current pig is not allowed to enter the slaughterhouse.
5. The method of claim 4, further comprising:
and when the verified weight parameters are matched with the matched weight parameters, generating verified qualified information and associating the verified qualified information with the prestored pig face depth image matched with the verified pig face depth image.
6. A pig verification device for entry into a slaughterhouse, the verification device comprising:
the first acquisition module is used for acquiring prestored pig face depth images of all pigs related to the tracing codes, and each pig transporting vehicle corresponds to one tracing code;
the second acquisition module is used for acquiring the face depth image and the body temperature parameter of the current pig to be checked; and
the first control module is used for sending prompt information when the verified pig face depth image is not matched with any one of the prestored pig face depth images and/or the verified body temperature parameter is out of a preset body temperature range,
the verification device is further configured to:
when the verified pig face depth image is matched with two or more pre-stored pig face depth images, replacing the pre-stored pig face depth image with the verified pig face depth image to serve as new identity information of the current pig, and associating verified qualified information with the verified pig face depth image;
the method comprises the steps of checking a pig face depth image, obtaining pig farm information of pigs related to a current tracing code when the pre-stored pig face depth image is not matched with the tracing code, obtaining all pigs of a corresponding pig farm, and matching the pre-stored pig face depth image with the checked pig face depth image.
7. A pig verification system for entry into a slaughterhouse, the verification system comprising:
the scanner is used for acquiring prestored pig face depth images of all pigs related to the tracing codes, and each pig transporting vehicle corresponds to one tracing code;
the camera is used for acquiring the depth image of the face of the current pig to be checked;
the temperature measuring instrument is used for acquiring the verified body temperature parameters of the current pig; and
the gate is used for not allowing the current pig to enter the slaughter house when the verified pig face depth image is not matched with any pre-stored pig face depth image and/or the verified body temperature parameter is out of a preset body temperature range,
the verification system is further configured to:
when the verified pig face depth image is matched with two or more pre-stored pig face depth images, replacing the pre-stored pig face depth image with the verified pig face depth image to serve as new identity information of the current pig, and associating verified qualified information with the verified pig face depth image;
the method comprises the steps of checking a pig face depth image, obtaining pig farm information of pigs related to a current tracing code when the pre-stored pig face depth image is not matched with the tracing code, obtaining all pigs of a corresponding pig farm, and matching the pre-stored pig face depth image with the checked pig face depth image.
8. The verification system of claim 7, further comprising a processor configured to:
judging whether the similarity between the verified pig face depth image and the prestored pig face depth image reaches a preset similarity or not;
when the similarity between the verified pig face depth image and the prestored pig face depth image is greater than a preset similarity, determining that the verified pig face depth image is matched with the prestored pig face depth image; and
and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image.
9. The verification system of claim 7, further comprising a processor configured to:
and when the verified pig face depth image is matched with any one of the pre-stored pig face depth images and the verified body temperature parameter is within the preset body temperature range, generating verified qualified information and associating the verified qualified information with the pre-stored pig face depth image matched with the verified pig face depth image.
10. The testing system of claim 7, further comprising a processor, a scale and a testing chamber, said scale being disposed within said testing chamber, said testing chamber including said gate; the processor is configured to: obtaining pre-stored pig information of all pigs related to the tracing code, wherein the pre-stored pig information is related to the pre-stored pig face depth image and comprises pre-stored weight parameters; the weighing device is used for acquiring the verification weight parameters of the current pig; the processor is further configured to determine whether the verified weight parameter matches a matched weight parameter when the verified pig face depth image matches any of the pre-stored pig face depth images, the matched weight parameter being the pre-stored weight parameter associated with the pre-stored pig face depth image that matches the verified pig face depth image; the gate is also used for not allowing the current pig to enter the slaughterhouse when the verified weight parameter is not matched with the matched weight parameter.
11. The verification system of claim 10, wherein the processor is further configured to:
and when the verified weight parameters are matched with the matched weight parameters, generating verified qualified information and associating the verified qualified information with the prestored pig face depth image matched with the verified pig face depth image.
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| CN110222725A (en) | 2019-09-10 |
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