A luggage verification method and system

Abstract

The present application discloses a luggage verification method and system, which determines whether there is at least one set of similar luggage among the various pieces of luggage on the current flight that meets the similar conditions, and the similar conditions are used to characterize that the similarity between the luggage reaches a predetermined similarity level. If there is such luggage, when the luggage on the current flight passes through a preset induction area, target luggage information is obtained based on a predetermined induction method, and according to the target luggage information, it is determined whether the luggage passing through the preset induction area is the luggage in at least one set of similar luggage. If so, verification processing is performed on the luggage passing through the preset induction area. Through the above solution, even in the case of a large number of passengers, there is no need to verify all the luggage to be identified one by one. Only the luggage to be identified that meets the conditions of similar luggage needs to be specifically verified, preventing passengers from mistakenly taking the similar luggage of other passengers, thereby improving the efficiency and accuracy of the luggage verification method.

Description

Technical Field

[0001] This application relates to the field of image recognition technology, and more specifically, to a luggage verification method and system. Background Art

[0002] With the rapid development of China's civil aviation transportation industry, the number of passengers has been increasing year by year, and the volume of checked luggage of passengers has also been increasing year by year. In order to prevent passengers from mistakenly taking the wrong luggage when picking up their luggage at the airport, airport staff will verify the luggage picked up by passengers during the luggage pick-up process to prevent passengers from mistakenly taking the luggage of other passengers.

[0003] The existing method for verifying the luggage picked up by passengers is to manually check each piece of luggage one by one with the naked eye, which results in low verification efficiency. Moreover, when the number of passengers is large, it is also easy to make mistakes when manually verifying the luggage of passengers with the naked eye.

[0004] Therefore, the efficiency and accuracy of the existing luggage verification method are low. Summary of the Invention

[0005] In view of this, this application discloses a luggage verification method and system, aiming to prevent passengers from mistakenly taking similar luggage of other passengers, thereby improving the efficiency and accuracy of the luggage verification method.

[0006] To achieve the above object, the disclosed technical solution is as follows:

[0007] The first aspect of this application discloses a luggage verification method, and the method includes:

[0008] Determine whether there is at least one group of similar luggage that meets the similarity condition among the various pieces of luggage of the current flight; the similarity condition is used to characterize that the similarity between the luggage reaches a predetermined similarity degree;

[0009] If there is, when the luggage of the current flight passes through a preset induction area, obtain target luggage information based on a predetermined induction method;

[0010] According to the target luggage information, determine whether the luggage passing through the preset induction area is the luggage in the at least one group of similar luggage;

[0011] If so, perform a verification process on the luggage passing through the preset induction area.

[0012] Preferably, the determining whether there is at least one group of similar luggage that meets the similarity condition among the various pieces of luggage of the current flight includes:

[0013] Obtain the luggage pictures corresponding to the various pieces of luggage of the current flight;

[0014] Calculate the similarity of the luggage pictures corresponding to each piece of luggage to obtain a similarity calculation result; the similarity calculation result includes multiple groups of luggage similarity information;

[0015] Determine whether there is at least one group of luggage similarity information greater than or equal to a preset threshold in the multiple groups of luggage similarity information;

[0016] If there is at least one group of luggage similarity information greater than or equal to the preset threshold in the multiple groups of luggage similarity information, determine that there is at least one group of similar luggage that meets the similarity condition among the luggage of the current flight;

[0017] If there is no at least one group of luggage similarity information greater than or equal to the preset threshold in the multiple luggage similarity information, determine that there is no at least one group of similar luggage that meets the similarity condition among the luggage of the current flight.

[0018] Preferably, when the luggage of the current flight passes through a preset induction area, obtaining target luggage information based on a predetermined induction method includes:

[0019] When the luggage of the current flight passes through a preset induction area, scan a preset induction attachment on the luggage of the current flight passing through the preset induction area to obtain target luggage information.

[0020] Preferably, the preset induction attachment is a radio frequency identification chip.

[0021] Preferably, according to the target luggage information, determining whether the luggage passing through the preset induction area is the luggage in the at least one group of similar luggage includes:

[0022] Compare the target luggage information with the luggage information of each piece of luggage in the at least one group of similar luggage;

[0023] If there is luggage information in the luggage information of each piece of luggage included in the at least one group of similar luggage that is consistent with the target luggage information, determine that the luggage passing through the preset induction area is the luggage in the at least one group of similar luggage;

[0024] If there is no luggage information in the luggage information of each piece of luggage included in the at least one group of similar luggage that is consistent with the target luggage information, determine that the luggage passing through the preset induction area is not the luggage in the at least one group of similar luggage.

[0025] Preferably, after determining that the luggage passing through the preset induction area is the luggage in the at least one group of similar luggage if there is luggage information in the luggage information of each piece of luggage included in the at least one group of similar luggage that is consistent with the target luggage information, it further includes:

[0026] Generate verification prompt information; the verification prompt information is used to prompt that the luggage passing through the preset induction area is similar luggage.

[0027] The second aspect of the present application discloses a luggage verification system, and the system includes:

[0028] A first determination unit, configured to determine whether there is at least one group of similar luggage that meets the similarity condition among the luggage of the current flight; the similarity condition is used to characterize that the similarity between the luggage reaches a predetermined similarity degree;

[0029] An acquisition unit, configured to, if any, obtain target luggage information based on a predetermined induction method when the luggage of the current flight passes through a preset induction area;

[0030] A second determination unit, configured to determine whether the luggage passing through the preset induction area is the luggage in the at least one group of similar luggage according to the target luggage information;

[0031] A verification unit, configured to, if so, perform a verification process on the luggage passing through the preset induction area.

[0032] Preferably, the first determination unit includes:

[0033] An acquisition module, configured to acquire luggage pictures corresponding to the luggage of the current flight;

[0034] A calculation module, configured to calculate the similarity of the luggage pictures corresponding to the respective luggage to obtain a similarity calculation result; the similarity calculation result includes multiple groups of luggage similarity information;

[0035] A judgment module, configured to judge whether there is at least one group of luggage similarity information greater than or equal to a preset threshold in the multiple groups of luggage similarity information;

[0036] A first determination module, configured to, if there is at least one group of luggage similarity information greater than or equal to the preset threshold in the multiple groups of luggage similarity information, determine that there is at least one group of similar luggage that meets the similarity condition among the luggage of the current flight;

[0037] A second determination module, configured to, if there is no at least one group of luggage similarity information greater than or equal to the preset threshold in the multiple luggage similarity information, determine that there is no at least one group of similar luggage that meets the similarity condition among the luggage of the current flight.

[0038] Preferably, the acquisition unit is specifically configured to:

[0039] When the luggage of the current flight passes through the preset induction area, scan a preset induction attachment on the luggage of the current flight passing through the preset induction area to obtain target luggage information.

[0040] Preferably, the second determination unit includes:

[0041] A comparison module, configured to compare the target luggage information with the luggage information of each piece of luggage in the at least one group of similar luggage;

[0042] A third determination module, configured to determine that the luggage passing through the preset sensing area is the luggage in the at least one group of similar luggage if there is luggage information in the luggage information of each piece of luggage included in the at least one group of similar luggage that is consistent with the target luggage information;

[0043] A fourth determination module, configured to determine that the luggage passing through the preset sensing area is not the luggage in the at least one group of similar luggage if there is no luggage information in the luggage information of each piece of luggage included in the at least one group of similar luggage that is consistent with the target luggage information.

[0044] As can be seen from the above technical solutions, the present application discloses a luggage verification method and system, which determines whether there is at least one group of similar luggage that meets the similarity condition among the luggage of the current flight, and the similarity condition is used to characterize that the similarity between the luggage reaches a predetermined similarity degree. If there is, when the luggage of the current flight passes through the preset sensing area, the target luggage information is obtained based on the predetermined sensing method, and according to the target luggage information, it is determined whether the luggage passing through the preset sensing area is the luggage in the at least one group of similar luggage. If so, the luggage passing through the preset sensing area is subject to verification processing. Through the above solution, even in the case of a large number of passengers, it is not necessary to verify all the luggage to be identified one by one. Only the luggage to be identified that meets the conditions of similar luggage needs to be specifically verified, preventing passengers from mistakenly taking the similar luggage of other passengers, thereby improving the efficiency and accuracy of the luggage verification method. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on the provided drawings without creative efforts.

[0046] Figure 1 It is a schematic flowchart of a luggage verification method disclosed in an embodiment of the present application;

[0047] Figure 2 It is a schematic flowchart of determining whether there is at least one group of similar luggage that meets the similarity condition among the luggage of the current flight disclosed in an embodiment of the present application;

[0048] Figure 3A schematic flowchart for determining whether a piece of luggage passing through a preset sensing area is a piece of luggage in at least one group of similar luggage according to the target luggage information disclosed in an embodiment of the present application;

[0049] Figure 4 A schematic structural diagram of a luggage verification system disclosed in an embodiment of the present application;

[0050] Figure 5 A schematic structural diagram of an electronic device disclosed in an embodiment of the present application. Detailed implementation manners

[0051] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0052] In the present application, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the element.

[0053] The existing method for verifying the luggage retrieved by passengers is to manually check each piece of luggage item by item with the naked eye, resulting in low verification efficiency. Moreover, when the number of passengers is large, it is also easy to make mistakes in manually verifying the luggage of passengers with the naked eye. Therefore, the efficiency and accuracy of the existing luggage verification method are low.

[0054] To solve the above problems, an embodiment of the present application discloses a luggage verification method and system. Even when the number of passengers is large, it is not necessary to verify all the luggage to be identified one by one. Only the luggage to be identified that meets the conditions of similar luggage needs to be specifically verified, preventing passengers from accidentally taking the similar luggage of other passengers, thereby improving the efficiency and accuracy of the luggage verification method. The specific implementation manner is described through the following embodiments.

[0055] Refer to Figure 1 As shown, a schematic flowchart of a luggage verification method disclosed in an embodiment of the present application. The luggage verification method mainly includes the following steps:

[0056] S101: Determine whether there is at least one set of similar luggage among the luggage of the current flight that meets the similarity conditions; the similarity conditions are used to characterize that the similarity between the luggage reaches a predetermined similarity level. If there is, execute S102; if not, execute S105.

[0057] In S101, the specific process of determining whether there is at least one set of similar luggage among the luggage of the current flight that meets the similarity conditions is as shown in A1 - A5.

[0058] A1: Obtain the luggage pictures corresponding to each piece of luggage of the current flight.

[0059] After the luggage passes through security check, take an external photo of each piece of luggage to obtain the luggage pictures corresponding to each piece of luggage of the current flight.

[0060] Among them, the number of luggage photos taken for each piece of luggage is at least 1, greater than or equal to 1, and less than or equal to 3.

[0061] When a passenger checks in luggage, a luggage tag containing a Radio Frequency Identification (RFID) chip is printed for each piece of the passenger's luggage through a luggage label printer, and the luggage tag is attached to the passenger's luggage.

[0062] Among them, the RFID chip contains information such as luggage information, luggage number, flight date, flight number, etc.

[0063] RFID radio frequency identification technology is a type of automatic identification technology. It conducts non - contact two - way data communication through radio frequency, and reads and writes the electronic tag (or radio frequency card) on the luggage by using the radio frequency method, so as to achieve the purpose of identifying luggage information.

[0064] When uploading the luggage pictures corresponding to each piece of luggage, the luggage pictures will be parsed and the feature information therein will be obtained and stored in the database together.

[0065] The SURF scale - invariant algorithm is used to extract feature points from the pictures. This algorithm has good adaptability to the translation, rotation, and brightness changes of objects in the image, and is fast. However, since this algorithm only considers the "shape" of the pictures and loses color information, there is a large matching error. Therefore, color information of the pictures will also be extracted while extracting feature values.

[0066] A2: Calculate the similarity of the luggage pictures corresponding to each piece of luggage to obtain the similarity calculation result; the similarity calculation result includes multiple sets of luggage similarity information.

[0067] The specific process of calculating the similarity of the luggage pictures corresponding to each piece of luggage to obtain the similarity calculation result; the similarity calculation result includes multiple sets of luggage similarity information is as follows:

[0068] First, the Fast Library for Approximate Nearest Neighbors (FLANN) matching algorithm is used to extract the corresponding feature information from the luggage pictures corresponding to each piece of luggage.

[0069] Then, the feature information is matched. After separately matching the scale information and color information, the matching coefficients are obtained, and then weighted operations are performed. After multiple tests and debugging, the parameters in the matching process are adjusted to achieve a matching result that is relatively close to manual recognition.

[0070] Finally, the similarities of all picture matches are listed one by one, and the luggage with high matching degrees is found and the luggage similarity information is recorded.

[0071] Among them, through a preset image similarity matching algorithm, the similarity of the luggage pictures corresponding to each piece of luggage is calculated to obtain the similarity calculation result.

[0072] The luggage similarity information includes the luggage number information of similar luggage, luggage photos, flight numbers, flight dates, etc.

[0073] The preset image similarity matching algorithm can be the perceptual hashing algorithm, the FLANN matching algorithm, etc. The specific determination of the preset image similarity matching algorithm is set by the technical personnel according to the actual situation, and this application does not make specific limitations. This application preferably uses the FLANN matching algorithm.

[0074] A3: Determine whether there is at least one set of luggage similarity information greater than or equal to the preset threshold among multiple sets of luggage similarity information.

[0075] In A3, after the current flight is intercepted, through a preset image similarity matching algorithm, the similarity of the luggage pictures of the current flight is calculated, and the luggage similarity information representing high matching degrees / similarities of the luggage is screened out from multiple luggage similarity information. Specifically, if there is luggage similarity information greater than or equal to the preset threshold among multiple luggage similarity information, then the luggage similarity information greater than or equal to the preset threshold is determined as the luggage similarity information representing high matching degrees / similarities of the luggage, and the luggage corresponding to this luggage similarity information with high matching degrees / high similarities is similar luggage.

[0076] One set of luggage similarity information can contain multiple pieces of luggage similarity information.

[0077] The preset threshold is the predetermined similarity degree in the above S101. The determination of the preset threshold is set by the technical personnel according to the actual situation, and this application does not make specific limitations.

[0078] A4: If there is at least one set of baggage similarity information greater than or equal to a preset threshold value among the multiple sets of baggage similarity information, it is determined that there is at least one set of similar baggage that meets the similarity condition among the baggage of the current flight.

[0079] Among them, the inspectors can obtain relevant information about similar baggage on the current flight in advance through the baggage inspection system.

[0080] To facilitate understanding of the process of determining whether there is at least one group of similar baggage that meets similar conditions among the baggage of the current flight, an example is given here to illustrate:

[0081] For example, passenger A checked in a piece of luggage on his flight, and passenger B also checked in a piece of luggage on the same flight. The two pieces of luggage are similar in size and appearance color. Passengers A and B checked in their luggage, and both checked in luggage were printed with luggage tags containing RFID chips. After the luggage passed security inspection, photos of the appearance of both pieces of luggage were taken. After the flight was boarded, similarity matching calculations were performed on all the photos of luggage checked in on this flight. The similarity information of passenger A's luggage and the similarity information of passenger B's luggage both have luggage similarity information greater than or equal to a preset threshold. The calculation result is that the luggage checked in by passengers A and B is similar, and the similarity information of the luggage of passengers A and B is stored.

[0082] A5: If there is no at least one set of baggage similarity information greater than or equal to a preset threshold value among the multiple baggage similarity information, it is determined that there is no at least one set of similar baggage satisfying the similarity condition among the baggage of the current flight.

[0083] S102: When the luggage of the current flight passes through the preset sensing area, the target luggage information is obtained based on a predetermined sensing method.

[0084] In S102, when the luggage of the current flight passes through the preset sensing area, the preset sensing attachment on the luggage of the current flight passing through the preset sensing area is scanned to obtain the target luggage information.

[0085] The target baggage information is information obtained by sensing the target baggage passing through a preset sensing area using a predetermined sensing method; the target baggage is the baggage of the current flight.

[0086] The target baggage information includes the baggage number, the time when the baggage passes through the sensing area, and the video information of the passenger passing through the sensing area.

[0087] The preset sensing area is set at the baggage inspection gate of the destination airport where the passenger arrives.

[0088] It should be noted that passengers must go through the baggage inspection gate after retrieving their luggage from the baggage reclaim carousel.

[0089] The preset induction area can be an RFID induction area or other induction areas. The determination of the preset induction area is selected by technicians according to the actual situation, and this application does not make specific limitations. The preset induction area of this application is preferably an RFID induction area.

[0090] The preset induction accessory is a radio frequency identification chip. The preset induction accessory can be an RFID chip or other induction chips. The determination of the preset induction accessory is selected by technicians according to the actual situation, and this application does not make specific limitations. The preset induction accessory of this application is preferably an RFID induction chip.

[0091] The luggage number read through the preset RFID induction area is used to find out the corresponding passenger information, and obtain the passenger's head portrait and flight information for security inspection photos, etc., and push the passenger information, passenger's head portrait and flight information, etc. to the verification staff.

[0092] S103: According to the target luggage information, determine whether the luggage passing through the preset induction area is the luggage in at least one group of similar luggage. If so, execute S104; if not, execute S106.

[0093] In S103, the number of luggage included in a group of similar luggage can be multiple.

[0094] The process of specifically determining whether the luggage passing through the preset induction area is the luggage in at least one group of similar luggage according to the target luggage information mainly includes as shown in B1 - B3.

[0095] B1: Compare the target luggage information with the luggage information of each piece of luggage in at least one group of similar luggage.

[0096] The similar luggage information includes similar luggage color information, similar luggage size information, similar luggage flight information, etc.

[0097] B2: If there is luggage information in the luggage information of each piece of luggage included in at least one group of similar luggage that is consistent with the target luggage information, determine that the luggage passing through the preset induction area is the luggage in at least one group of similar luggage.

[0098] To facilitate the understanding of the process of determining that the luggage passing through the preset induction area is the luggage in at least one group of similar luggage if there is luggage information in the luggage information of each piece of luggage included in at least one group of similar luggage that is consistent with the target luggage information, an example is given here for illustration:

[0099] For example, when the luggage of the current flight passes through the preset sensing area, compare the target luggage color information (red) and target information size information (15 inches) corresponding to the luggage of the current flight with the color information (red) and size information (15 inches) of at least one group of similar luggage. The color information in the luggage information of each piece of luggage included in a group of similar luggage is consistent with the color information in the target luggage color information, and the size information in the luggage information of each piece of luggage included in a group of similar luggage is consistent with the size information in the target information size information. Determine that the luggage of the current flight passing through the preset sensing area is the luggage in at least one group of similar luggage. After determining that the luggage passing through the preset sensing area is the luggage in at least one group of similar luggage if there is luggage information in the luggage information of each piece of luggage included in at least one group of similar luggage that is consistent with the target luggage information, generate a verification prompt message; the verification prompt message is used to prompt that the luggage passing through the preset sensing area is similar luggage.

[0100] B3: If there is no luggage information in the luggage information of each piece of luggage included in at least one group of similar luggage that is consistent with the target luggage information, determine that the luggage passing through the preset sensing area is not the luggage in at least one group of similar luggage.

[0101] To facilitate understanding of the process of determining that the luggage passing through the preset sensing area is not the luggage in at least one group of similar luggage if there is no luggage information in the luggage information of each piece of luggage included in at least one group of similar luggage that is consistent with the target luggage information, an example is given here for illustration:

[0102] For example, when the luggage of the current flight passes through the preset sensing area, compare the target luggage color information (black) and target information size information (15 inches) corresponding to the luggage of the current flight with the color information (red) and size information (15 inches) of at least one group of similar luggage. The color information in the luggage information of each piece of luggage included in a group of similar luggage is inconsistent with the color information in the target luggage color information. Determine that the luggage of the current flight passing through the preset sensing area is not the luggage in at least one group of similar luggage.

[0103] S104: Conduct a verification process on the luggage passing through the preset sensing area.

[0104] Read multiple groups of luggage similarity information. If there is luggage similarity information greater than or equal to the preset threshold among the multiple luggage similarity information, determine that the luggage similarity information greater than or equal to the preset threshold is the luggage similarity information representing a high matching degree / similarity of the luggage. The luggage corresponding to the luggage similarity information with a high matching degree / high similarity is similar luggage. Then, send a verification prompt message to the portable handheld device carried by the verification staff for verification prompt. The verification staff can view the passenger boarding pass information, the number of passenger luggage, etc. through the portable handheld device, locate the luggage to be verified and the corresponding passenger, and conduct key verification.

[0105] Among them, the information for verifying the luggage passing through the preset sensing area includes verifying the passenger boarding pass information, verifying the number of the passenger's luggage, verifying the change of the passenger's luggage, verifying the photo of the passenger's luggage, etc.

[0106] Optionally, if it is found that the luggage tag does not correspond to the luggage, the verification staff locates the passenger whose luggage tag does not correspond to the luggage and exchanges the correct luggage.

[0107] S105: Determine whether there is at least one set of similar luggage that meets the similar conditions for each piece of luggage of the next flight.

[0108] In S105, the process of determining whether there is at least one set of similar luggage that meets the similar conditions for each piece of luggage of the next flight is the same as the process of determining whether there is at least one set of similar luggage that meets the similar conditions for each piece of luggage of the current flight, for reference.

[0109] S106: Determine that the luggage passing through the preset sensing area is not similar luggage.

[0110] This solution solves the problems of low efficiency in verifying departing luggage and poor passenger experience at present, enabling airport luggage verification staff to verify directionally whether passengers have taken the wrong luggage by mistake, and also enabling passengers to leave quickly without queuing for luggage verification after picking up their own luggage, thus improving the travel experience of passengers.

[0111] To facilitate the understanding of the process of the luggage verification method, an example is given here for illustration:

[0112] For example, Passenger A checked one piece of luggage on the flight he / she took, and Passenger B also checked one piece of luggage on the same flight. The two pieces of luggage are similar in size, appearance, and color. Passenger A and Passenger B checked their luggage, and the checked luggage was tagged with luggage tags containing RFID chips. After the luggage passed through the security check, the system took pictures of the appearance of both pieces of luggage and saved the pictures in the system. After the flight cut-off, the system performed a similarity matching calculation on all the luggage pictures checked on this flight. The calculation result showed that the luggage checked by Passenger A and Passenger B was similar. The calculation result was saved. After the flight arrived at the destination airport, the staff checked the information of the luggage to be verified on this flight and learned that the luggage of Passenger A and Passenger B was similar and needed to be checked with emphasis. In the airport luggage verification area, the RFID automatic induction device will read and record the passing time of each piece of luggage with an RFID chip. When Passenger A and Passenger B pick up their luggage and pass through the luggage verification area (preset induction area), after the RFID automatic induction device reads the luggage information of Passenger A and Passenger B, it sends a verification prompt message and the passing time of the luggage to the portable handheld device carried by the verification staff for verification prompt. The verification staff can view the passenger boarding pass information, the number of passenger luggage, etc. through the portable handheld device, and locate the luggage to be verified and the corresponding passengers.

[0113] In the embodiment of the present application, even in the case of a large number of passengers, it is not necessary to check all the luggage to be identified one by one. Only the luggage to be identified that meets the conditions of similar luggage needs to be checked specifically, preventing passengers from mistakenly taking similar luggage of other passengers, thereby improving the efficiency and accuracy of the luggage verification method.

[0114] Reference Figure 2 As shown, for the process of determining whether there is at least one group of similar luggage that meets the similar conditions among the various pieces of luggage on the current flight involved in step S101 of the above embodiment, it mainly includes the following steps:

[0115] S201: Obtain the luggage pictures corresponding to the various pieces of luggage on the current flight.

[0116] S202: Calculate the similarity of the luggage pictures corresponding to the various pieces of luggage to obtain a similarity calculation result; the similarity calculation result includes multiple groups of luggage similarity information.

[0117] S203: Determine whether there is at least one group of luggage similarity information greater than or equal to a preset threshold among the multiple groups of luggage similarity information. If so, execute S204; if not, execute S205.

[0118] S204: Determine that there is at least one group of similar luggage that meets the similar conditions among the various pieces of luggage on the current flight.

[0119] S205: Determine that there is no at least one set of similar luggage among the luggage of the current flight that meets the similarity conditions.

[0120] The implementation principles of S201 - S205 are the same as those in S101 above, which can be referred to and will not be elaborated here.

[0121] In the embodiments of the present application, by determining whether there is at least one set of luggage similarity information greater than or equal to a preset threshold among multiple sets of luggage similarity information, the purpose of determining whether there is at least one set of similar luggage that meets the similarity conditions among the luggage of the current flight is achieved.

[0122] Refer to Figure 3 As shown, for the process of determining whether the luggage passing through the preset sensing area is the luggage of at least one set of similar luggage involved in S103 of the above embodiment, it mainly includes the following steps:

[0123] S301: Compare the target luggage information with the luggage information of each piece of luggage in at least one set of similar luggage. If there is luggage information in the luggage information of each piece of luggage included in at least one set of similar luggage that is consistent with the target luggage information, then execute S302. If there is no luggage information in the luggage information of each piece of luggage included in at least one set of similar luggage that is consistent with the target luggage information, then execute S303.

[0124] S302: Determine that the luggage passing through the preset sensing area is the luggage of at least one set of similar luggage.

[0125] S303: Determine that the luggage passing through the preset sensing area is not the luggage of at least one set of similar luggage.

[0126] The implementation principles of S301 - S303 are the same as those in S103 above, which can be referred to and will not be elaborated here.

[0127] In the embodiments of the present application, the target luggage information is compared with the luggage information of each piece of luggage in at least one set of similar luggage to determine whether the luggage passing through the preset sensing area is the luggage of at least one set of similar luggage.

[0128] Verify that the luggage passing through the preset sensing area is the luggage of at least one set of similar luggage. Even in the case of a large number of passengers, there is no need to check each piece of luggage to be identified one by one. Only the luggage to be identified that meets the conditions of similar luggage needs to be specifically checked, preventing passengers from mistakenly taking the similar luggage of other passengers, thereby improving the efficiency and accuracy of the luggage verification method.

[0129] Based on the above embodiments Figure 1 A luggage verification method disclosed, the embodiments of the present application also correspondingly disclose a luggage verification system, as Figure 4As shown in the figure, the luggage verification system includes a first determination unit 401, an acquisition unit 402, a second determination unit 403, and a verification unit 404.

[0130] The first determination unit 401 is configured to determine whether there is at least one set of similar luggage among the luggage of the current flight that meets the similarity condition; the similarity condition is used to characterize that the similarity between the luggage reaches a predetermined similarity level.

[0131] The acquisition unit 402 is configured to, if any, when the luggage of the current flight passes through the preset induction area, obtain target luggage information based on a predetermined induction method.

[0132] The second determination unit 403 is configured to determine whether the luggage passing through the preset induction area is the luggage in at least one set of similar luggage according to the target luggage information.

[0133] The verification unit 404 is configured to, if so, perform a verification process on the luggage passing through the preset induction area.

[0134] Furthermore, the first determination unit 401 includes an acquisition module, a calculation module, a judgment module, a first determination module, and a second determination module.

[0135] The acquisition module is configured to acquire the luggage pictures corresponding to the luggage of the current flight.

[0136] The calculation module is configured to calculate the similarity of the luggage pictures corresponding to each piece of luggage to obtain a similarity calculation result; the similarity calculation result includes multiple sets of luggage similarity information.

[0137] The judgment module is configured to judge whether there is at least one set of luggage similarity information greater than or equal to a preset threshold in the multiple sets of luggage similarity information.

[0138] The first determination module is configured to, if there is at least one set of luggage similarity information greater than or equal to a preset threshold in the multiple sets of luggage similarity information, determine that there is at least one set of similar luggage that meets the similarity condition among the luggage of the current flight.

[0139] The second determination module is configured to, if there is no at least one set of luggage similarity information greater than or equal to a preset threshold in the multiple luggage similarity information, determine that there is no at least one set of similar luggage that meets the similarity condition among the luggage of the current flight.

[0140] Furthermore, the acquisition unit 402 is specifically configured to, when the luggage of the current flight passes through the preset induction area, scan the preset induction attachment on the luggage of the current flight passing through the preset induction area to obtain target luggage information.

[0141] The preset induction attachment is a radio frequency identification chip.

[0142] Further, the second determination unit 403 includes a comparison module, a third determination module, and a fourth determination module.

[0143] The comparison module is configured to compare the target luggage information with the luggage information of each piece of luggage in at least one group of similar luggage.

[0144] The third determination module is configured to determine that the luggage passing through the preset sensing area is the luggage in at least one group of similar luggage if there is luggage information in the luggage information of each piece of luggage included in at least one group of similar luggage that is consistent with the target luggage information.

[0145] The fourth determination module is configured to determine that the luggage passing through the preset sensing area is not the luggage in at least one group of similar luggage if there is no luggage information in the luggage information of each piece of luggage included in at least one group of similar luggage that is consistent with the target luggage information.

[0146] Further, a generation unit is further included.

[0147] The generation unit is configured to generate a verification prompt message; the verification prompt message is used to prompt that the luggage passing through the preset sensing area is similar luggage.

[0148] In the embodiment of the present application, even in the case of a large number of passengers, it is not necessary to verify all the luggage to be identified one by one. Only the luggage to be identified that meets the conditions of similar luggage needs to be specifically verified, preventing passengers from mistakenly taking the similar luggage of other passengers, thereby improving the efficiency and accuracy of the luggage verification method.

[0149] The embodiment of the present application further provides a storage medium, where the storage medium includes stored instructions, and when the instructions run, the device where the storage medium is located is controlled to execute the above-mentioned luggage verification method.

[0150] Next, refer to Figure 5 , which shows a schematic structural diagram of an electronic device 500 suitable for implementing the embodiment of the present application. The terminal device in the embodiment of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The electronic device shown is only an example and should not bring any limitation to the functions and usage scope of the embodiment of the present disclosure.

[0151] As Figure 5As shown, the electronic device 500 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 501, which may perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage device 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0152] Generally, the following devices may be connected to the I / O interface 505: an input device 506 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 507 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 508 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 509. The communication device 509 may allow the electronic device 500 to communicate with other devices wirelessly or wiredly to exchange data. Although Figure 5 the electronic device 500 with various devices is shown, it should be understood that it is not required to implement or have all the shown devices. Instead, more or fewer devices may be implemented or had.

[0153] Although the present subject matter has been described in language specific to structural features and / or method logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. On the contrary, the specific features and acts described above are merely example forms for implementing the claims.

[0154] Although several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the present disclosure. Certain features described in the context of separate embodiments may also be implemented combinatorially in a single embodiment. On the contrary, the various features described in the context of a single embodiment may also be implemented separately or in any suitable sub-combination in multiple embodiments.

[0155] The above description is only a preferred embodiment of the present disclosure and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the disclosure involved in the present disclosure is not limited to the technical solution formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosure concept. For example, a technical solution formed by mutually replacing the above features with the technical features (but not limited to) having similar functions disclosed in the present disclosure.

Claims

1. A luggage verification method, characterized in that, The method includes: Obtaining luggage pictures corresponding to each piece of luggage of the current flight; calculating the similarity of the luggage pictures corresponding to each piece of luggage to obtain a similarity calculation result; the similarity calculation result includes multiple groups of luggage similarity information; the luggage similarity information at least includes the luggage number information, luggage photo, flight number, and flight date of the similar luggage; determining whether there is at least one group of luggage similarity information greater than or equal to a preset threshold in the multiple groups of luggage similarity information; if there is at least one group of luggage similarity information greater than or equal to the preset threshold in the multiple groups of luggage similarity information, determining that there is at least one group of similar luggage that meets the similarity condition among the luggage of the current flight; if there is no at least one group of luggage similarity information greater than or equal to the preset threshold in the multiple groups of luggage similarity information, determining that there is no at least one group of similar luggage that meets the similarity condition among the luggage of the current flight; the similarity condition is used to represent that the similarity between the luggage reaches a predetermined similarity degree; If it is determined that there is at least one group of similar luggage that meets the similarity condition among the luggage of the current flight, when the luggage of the current flight passes through a preset sensing area, obtaining target luggage information based on a predetermined sensing method; Comparing the target luggage information with the luggage information of each piece of luggage in the at least one group of similar luggage; if there is luggage information that is the same as the target luggage information among the luggage information of each piece of luggage included in the at least one group of similar luggage, determining that the luggage passing through the preset sensing area is the luggage in the at least one group of similar luggage; if there is no luggage information that is the same as the target luggage information among the luggage information of each piece of luggage included in the at least one group of similar luggage, determining that the luggage passing through the preset sensing area is not the luggage in the at least one group of similar luggage; If it is determined that the luggage passing through the preset sensing area is the luggage in the at least one group of similar luggage, performing a verification process on the luggage passing through the preset sensing area.

2. The method according to claim 1, wherein The obtaining target luggage information based on a predetermined sensing method when the luggage of the current flight passes through a preset sensing area includes: When the luggage of the current flight passes through a preset sensing area, scanning a preset sensing attachment on the luggage of the current flight passing through the preset sensing area to obtain target luggage information.

3. The method according to claim 2, wherein The preset sensing attachment is a radio frequency identification chip.

4. The method according to claim 1, characterized in that, After determining that the luggage passing through the preset sensing area is the luggage in the at least one group of similar luggage if there is luggage information that is the same as the target luggage information among the luggage information of each piece of luggage included in the at least one group of similar luggage, it further includes: Generating a verification prompt information; the verification prompt information is used to prompt that the luggage passing through the preset sensing area is similar luggage.

5. A luggage verification system, characterized in that, The system includes: A first determination unit, including: an acquisition module, a calculation module, a judgment module, a first determination module, and a second determination module; The acquisition module is used to obtain luggage pictures corresponding to each piece of luggage of the current flight; The calculation module is configured to calculate the similarity of the luggage pictures corresponding to each piece of luggage, and obtain a similarity calculation result; the similarity calculation result includes multiple groups of luggage similarity information; the luggage similarity information at least includes the luggage number information, luggage photo, flight number, and flight date of the similar luggage; The judgment module is configured to judge whether there is at least one group of luggage similarity information greater than or equal to a preset threshold value in the multiple groups of luggage similarity information; The first determination module is configured to, if there is at least one group of luggage similarity information greater than or equal to the preset threshold value in the multiple groups of luggage similarity information, determine that there is at least one group of similar luggage that meets the similarity condition among the luggage of the current flight; The second determination module is configured to, if there is no at least one group of luggage similarity information greater than or equal to the preset threshold value in the multiple groups of luggage similarity information, determine that there is no at least one group of similar luggage that meets the similarity condition among the luggage of the current flight; the similarity condition is used to represent that the similarity between the luggage reaches a predetermined similarity degree; The acquisition unit is configured to, if it is determined that there is at least one group of similar luggage that meets the similarity condition among the luggage of the current flight, obtain target luggage information based on a predetermined sensing method when the luggage of the current flight passes through a preset sensing area; The second determination unit includes: a comparison module, a third determination module, and a fourth determination module; The comparison module is configured to compare the target luggage information with the luggage information of each piece of luggage in the at least one group of similar luggage; The third determination module is configured to, if there is luggage information in the luggage information of each piece of luggage included in the at least one group of similar luggage that is the same as the target luggage information, determine that the luggage passing through the preset sensing area is the luggage in the at least one group of similar luggage; The fourth determination module is configured to, if there is no luggage information in the luggage information of each piece of luggage included in the at least one group of similar luggage that is the same as the target luggage information, determine that the luggage passing through the preset sensing area is not the luggage in the at least one group of similar luggage; The verification unit is configured to, if it is determined that the luggage passing through the preset sensing area is the luggage in the at least one group of similar luggage, perform verification processing on the luggage passing through the preset sensing area.

6. The system according to claim 5, wherein The acquisition unit is specifically configured to: When the luggage of the current flight passes through the preset sensing area, scan a preset sensing attachment on the luggage of the current flight passing through the preset sensing area to obtain target luggage information.

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