Parking lot package period vehicle information matching method and device and computer equipment

Abstract

The invention discloses a parking lot package period vehicle information matching method and device and computer equipment. The method comprises the steps of capturing a video or a picture of a vehicle through a camera when a complete license plate of a parked vehicle needing to exit from a parking lot cannot be recognized, and obtaining recognized partial license plate information of the vehicle and at least one piece of first feature information from the video or the picture, information reading is carried out on the video or the picture of the vehicle, second feature information of the vehicle is obtained through reading, the second feature information comprises feature information corresponding to the first feature information, the second feature information is matched with the first feature information, and a matching result is obtained; and determining the license plate information of the vehicle matched with the second feature information with the highest priority in the matching result as the license plate of the vehicle. Through the mode, the information of the parked vehicle can be effectively matched under the condition that the license plate of the parked vehicle in the parking lot is difficult to recognize, and the efficiency of normally leaving the parked vehicle from the parking lot can be guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of parking lot management, and in particular to a parking lot package vehicle information matching method, device and computer equipment. Background Art

[0002] Some parking lots have irregular crossings or old license plates of some vehicles, making it difficult for cameras to recognize them. As a result, some chartered vehicles in the parking lot cannot be effectively identified. When the vehicles leave the parking lot, they cannot be matched with the chartered vehicles entered into the system. The system charges them according to temporary vehicles, and the temporary vehicle charges need to be corrected to chartered vehicle charges, which reduces the efficiency of chartered vehicles leaving the parking lot normally. Summary of the invention

[0003] In view of this, the purpose of the present invention is to propose a parking lot package vehicle information matching method, device and computer equipment, which can effectively match the package vehicle information when the license plate of the parking lot package vehicle is difficult to recognize, and can ensure the efficiency of the package vehicle leaving the parking lot normally.

[0004] According to one aspect of the present invention, a method for matching parking lot package vehicle information is provided, comprising: when the complete license plate of a package vehicle that needs to leave the parking lot cannot be identified, capturing a video or photo of the vehicle through a camera, and obtaining the identified partial license plate information and at least one first feature information of the vehicle from the video or photo; reading information from the video or photo of the vehicle to obtain second feature information of the vehicle; wherein the second feature information includes feature information corresponding to all the first feature information; matching the second feature information with the first feature information of the corresponding type, and determining the license plate information of the vehicle matched with the second feature information with the highest priority in the matching result as the license plate of the vehicle.

[0005] Wherein, when the complete license plate of the package vehicle that needs to leave the parking lot cannot be identified, a video or photo of the vehicle is captured by a camera, and partial license plate information of the vehicle and at least one first feature information are obtained from the video or photo, including: when the complete license plate of the package vehicle that needs to leave the parking lot cannot be identified, a video or photo of the vehicle is captured by a camera, and partial license plate information of the vehicle and at least one first feature information are obtained from the video or photo; wherein, the at least one first feature information includes vehicle model, color, window decoration, and body stickers.

[0006] The step of reading information from the video or photo of the vehicle to obtain the second characteristic information of the vehicle, wherein the second characteristic information includes characteristic information corresponding to all the first characteristic information, comprises: reading information from the video or photo of the vehicle by a convolutional neural network method in deep learning to obtain the second characteristic information of the vehicle, wherein the second characteristic information includes characteristic information corresponding to all the first characteristic information.

[0007] Among them, the matching of the second feature information with the first feature information of the corresponding type and determining the license plate information of the vehicle matched by the second feature information with the highest priority in the matching results as the license plate of the vehicle includes: constructing a database containing multiple first feature information and associating corresponding license plate information, and preprocessing the second feature information to extract key features to ensure consistency with the format of the first feature information in the database, and using efficient matching algorithms such as cosine similarity and Euclidean distance to match the similarity between the second feature information and the first feature information in the database, sorting according to the similarity, and determining the license plate information of the vehicle matched by the second feature information with the highest priority in the matching results as the license plate of the vehicle.

[0008] Among them, after matching the second characteristic information with the first characteristic information of the corresponding type and determining the license plate information of the vehicle matched with the second characteristic information with the highest priority in the matching results as the license plate of the vehicle, it also includes: charging and notifying payment according to the parking record determined as the license plate of the vehicle.

[0009] According to another aspect of the present invention, a parking lot package vehicle information matching device is provided, comprising: an acquisition module, a reading module and a matching module; the acquisition module is used to capture a video or photo of a package vehicle that needs to leave the parking lot through a camera when the complete license plate of the vehicle cannot be identified, and obtain the identified partial license plate information and at least one first feature information of the vehicle from the video or photo; the reading module is used to read information from the video or photo of the vehicle to obtain second feature information of the vehicle; wherein the second feature information includes feature information corresponding to all the first feature information; the matching module is used to match the second feature information with the first feature information of the corresponding type, and determine the license plate information of the vehicle matched with the second feature information with the highest priority in the matching result as the license plate of the vehicle.

[0010] Among them, the acquisition module is specifically used to: when the complete license plate of a package vehicle that needs to leave the parking lot cannot be identified, capture the video or photo of the vehicle through a camera, and obtain the identified partial license plate information and at least one first feature information of the vehicle from the video or photo; wherein the at least one first feature information includes vehicle model, color, window decoration, and body sticker.

[0011] Among them, the reading module is specifically used to: read the video or photo of the vehicle through a convolutional neural network method in deep learning, and obtain the second characteristic information of the vehicle; wherein the second characteristic information includes all characteristic information corresponding to the first characteristic information.

[0012] Among them, the matching module is specifically used to: construct a database containing multiple first feature information, and associate corresponding license plate information, and preprocess the second feature information to extract key features to ensure consistency with the format of the first feature information in the database, and use cosine similarity and Euclidean distance efficient matching algorithms to match the similarity between the second feature information and the first feature information in the database, sort according to the similarity, and determine the license plate information of the vehicle matched by the second feature information with the highest priority in the matching results as the license plate of the vehicle.

[0013] The parking lot package vehicle information matching device further comprises a charging module for charging and notifying payment according to the parking record determined to be the license plate of the vehicle.

[0014] According to another aspect of the present invention, there is provided a computer device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the parking lot package vehicle information matching method as described in any one of the above.

[0015] According to another aspect of the present invention, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the parking lot package vehicle information matching method as described in any one of the above items is implemented.

[0016] It can be found that the above scheme can capture a video or photo of the vehicle through a camera when the complete license plate of a packaged vehicle that needs to leave the parking lot cannot be identified, and obtain the identified partial license plate information and at least one first feature information of the vehicle from the video or photo, and can read the video or photo of the vehicle to obtain the second feature information of the vehicle; wherein the second feature information includes feature information corresponding to all the first feature information, and the second feature information can be matched with the first feature information of the corresponding type, and the license plate information of the vehicle matched with the second feature information with the highest priority in the matching result is determined as the license plate of the vehicle, which can achieve effective matching of the packaged vehicle information when the license plate of the packaged vehicle in the parking lot is difficult to identify, and can ensure the efficiency of the packaged vehicles leaving the parking lot normally.

[0017] Furthermore, the above scheme can capture a video or photo of the vehicle through a camera when the complete license plate of a package vehicle that needs to leave the parking lot cannot be identified, and obtain the identified partial license plate information and at least one first feature information of the vehicle from the video or photo; wherein the at least one first feature information includes vehicle model, color, window decoration, body sticker, etc. The advantage of this is that it can provide basic data for subsequent effective matching of package vehicle information.

[0018] Furthermore, the above scheme can read the information from the video or photo of the vehicle through the convolutional neural network in deep learning, and obtain the second characteristic information of the vehicle; wherein the second characteristic information includes all characteristic information corresponding to the first characteristic information. The advantage of this is that the high adaptability and robustness of the convolutional neural network in deep learning can effectively improve the accuracy and efficiency of reading the vehicle characteristic information.

[0019] Furthermore, the above scheme can construct a database containing multiple types of first feature information, and associate corresponding license plate information, and pre-process the second feature information to extract key features to ensure consistency with the format of the first feature information in the database, and use efficient matching algorithms such as cosine similarity and Euclidean distance to match the similarity between the second feature information and the first feature information in the database, sort by similarity, and determine the license plate information of the vehicle matched with the second feature information with the highest priority in the matching results as the license plate of the vehicle, so as to achieve effective matching of the packaged vehicle information when the license plate of the packaged vehicle in the parking lot is difficult to identify, and ensure the efficiency of the packaged vehicles leaving the parking lot normally.

[0020] Furthermore, the above scheme can charge and notify payment according to the parking record determined as the license plate of the vehicle. The advantage of this is that it can ensure the efficiency of the normal exit of the parking lot for the scheduled vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 It is a flow chart of an embodiment of a parking lot package vehicle information matching method of the present invention;

[0023] Figure 2 It is a flow chart of another embodiment of the parking lot package vehicle information matching method of the present invention;

[0024] Figure 3 It is a structural schematic diagram of an embodiment of a parking lot package vehicle information matching device of the present invention;

[0025] Figure 4 It is a structural schematic diagram of another embodiment of the parking lot package vehicle information matching device of the present invention;

[0026] Figure 5 It is a structural schematic diagram of an embodiment of a computer device of the present invention. DETAILED DESCRIPTION

[0027] The present invention will be further described in detail below in conjunction with the accompanying drawings and examples. It is particularly noted that the following examples are only used to illustrate the present invention, but are not intended to limit the scope of the present invention. Similarly, the following examples are only partial embodiments of the present invention rather than all embodiments, and all other embodiments obtained by those of ordinary skill in the art without creative work are within the scope of protection of the present invention.

[0028] The present invention provides a parking lot package vehicle information matching method, which can achieve effective matching of package vehicle information when the license plate of the parking lot package vehicle is difficult to identify, and can ensure the efficiency of the package vehicle leaving the parking lot normally.

[0029] See also Figure 1 , Figure 1 FIG. 1 is a flow chart of an embodiment of a parking lot package vehicle information matching method of the present invention. It should be noted that if there is substantially the same result, the method of the present invention is not limited to the method of FIG. Figure 1 The process sequence shown is limited. Figure 1 As shown, the method comprises the following steps:

[0030] S101: When the complete license plate of a reserved vehicle that needs to leave the parking lot cannot be identified, a video or photo of the vehicle is captured by a camera, and partial license plate information and at least one first feature information of the identified vehicle are obtained from the video or photo.

[0031] When the complete license plate of the package vehicle that needs to leave the parking lot cannot be identified, capturing a video or photo of the vehicle through a camera, and obtaining the identified partial license plate information and at least one first feature information of the vehicle from the video or photo may include:

[0032] When the complete license plate of a package vehicle that needs to leave the parking lot cannot be identified, a video or photo of the vehicle is captured by a camera, and partial license plate information and at least one first feature information of the vehicle are obtained from the video or photo; wherein the at least one first feature information includes vehicle model, color, window decoration, body sticker, etc. The advantage of this is that basic data can be provided for subsequent effective matching of package vehicle information.

[0033] S102: Read information from the video or photo of the vehicle to obtain second characteristic information of the vehicle; wherein the second characteristic information includes characteristic information corresponding to all the first characteristic information.

[0034] The video or photo of the vehicle is read to obtain second characteristic information of the vehicle; wherein the second characteristic information includes characteristic information corresponding to all the first characteristic information, and may include:

[0035] Through the convolutional neural network method in deep learning, the video or photo of the vehicle is read to obtain the second characteristic information of the vehicle; wherein the second characteristic information includes all characteristic information corresponding to the first characteristic information. The advantage of this is that the high adaptability and robustness of the convolutional neural network in deep learning can effectively improve the accuracy and efficiency of reading the vehicle characteristic information.

[0036] S103: Match the second feature information with the first feature information of the corresponding type, and determine the license plate information of the vehicle matched with the second feature information with the highest priority in the matching results as the license plate of the vehicle.

[0037] The matching of the second feature information with the first feature information of the corresponding type and determining the license plate information of the vehicle matched with the second feature information with the highest priority in the matching result as the license plate of the vehicle may include:

[0038] A database containing multiple first feature information is constructed, and the corresponding license plate information is associated, and the second feature information is preprocessed to extract key features to ensure consistency with the format of the first feature information in the database, and efficient matching algorithms such as cosine similarity and Euclidean distance are used to match the similarity between the second feature information and the first feature information in the database. The matching results are sorted according to the similarity, and the license plate information of the vehicle matched with the second feature information with the highest priority in the matching results is determined as the license plate of the vehicle. This can achieve effective matching of the packaged vehicle information when the license plate of the packaged vehicle in the parking lot is difficult to identify, and can ensure the efficiency of the packaged vehicles leaving the parking lot normally.

[0039] Wherein, after matching the second feature information with the first feature information of the corresponding type and determining the license plate information of the vehicle matched with the second feature information with the highest priority in the matching result as the license plate of the vehicle, the method may further include:

[0040] The parking fee is calculated and the payment is notified according to the parking record of the vehicle's license plate. This has the advantage of ensuring the efficiency of the normal exit of the parking lot for the reserved vehicles.

[0041] It can be found that in this embodiment, when the complete license plate of a package vehicle that needs to exit the parking lot cannot be identified, a video or photo of the vehicle can be captured by a camera, and partial license plate information and at least one first feature information of the vehicle that are identified can be obtained from the video or photo, and information can be read from the video or photo of the vehicle to obtain the second feature information of the vehicle; wherein the second feature information includes feature information corresponding to all the first feature information, and the second feature information can be matched with the first feature information of the corresponding type, and the license plate information of the vehicle matched with the second feature information with the highest priority in the matching result is determined as the license plate of the vehicle, so that the package vehicle information can be effectively matched when the license plate of the package vehicle in the parking lot is difficult to identify, and the efficiency of the package vehicles exiting the parking lot normally can be guaranteed.

[0042] Furthermore, in this embodiment, when the complete license plate of a package vehicle that needs to leave the parking lot cannot be identified, a video or photo of the vehicle can be captured by a camera, and partial license plate information and at least one first feature information of the vehicle can be obtained from the video or photo; wherein the at least one first feature information includes vehicle model, color, window decoration, body stickers, etc. The advantage of this is that basic data can be provided for subsequent effective matching of package vehicle information.

[0043] Furthermore, in the present embodiment, the video or photo of the vehicle can be read through a convolutional neural network in deep learning to obtain second characteristic information of the vehicle; wherein the second characteristic information includes characteristic information corresponding to all the first characteristic information. The advantage of this is that the high adaptability and robustness of the convolutional neural network in deep learning can effectively improve the accuracy and efficiency of reading the vehicle characteristic information.

[0044] Furthermore, in this embodiment, a database containing multiple types of first feature information can be constructed, and the corresponding license plate information can be associated, and the second feature information can be preprocessed to extract key features to ensure consistency with the format of the first feature information in the database, and efficient matching algorithms such as cosine similarity and Euclidean distance can be used to match the similarity between the second feature information and the first feature information in the database. The matching results are sorted according to the similarity, and the license plate information of the vehicle matched with the second feature information with the highest priority in the matching results is determined as the license plate of the vehicle. This can achieve effective matching of the packaged vehicle information when the license plate of the parking lot packaged vehicle is difficult to identify, and can ensure the efficiency of the packaged vehicles leaving the parking lot normally.

[0045] See also Figure 2 , Figure 2 1 is a flow chart of another embodiment of the parking lot package vehicle information matching method of the present invention. In this embodiment, the method includes the following steps:

[0046] S201: When the complete license plate of a chartered vehicle that needs to leave the parking lot cannot be identified, a video or photo of the vehicle is captured by a camera, and partial license plate information and at least one first feature information of the identified vehicle are obtained from the video or photo.

[0047] This can be as described in S101 above and will not be elaborated here.

[0048] S202: Read information from the video or photo of the vehicle to obtain second characteristic information of the vehicle; wherein the second characteristic information includes characteristic information corresponding to all the first characteristic information.

[0049] This can be as described in S102 above, and will not be elaborated here.

[0050] S203: Match the second feature information with the first feature information of the corresponding type, and determine the license plate information of the vehicle matched with the second feature information with the highest priority in the matching results as the license plate of the vehicle.

[0051] This can be as described in S103 above, and will not be elaborated here.

[0052] S204: charging and notifying payment according to the parking record determined to be the license plate of the vehicle.

[0053] It can be found that in this embodiment, the parking record determined to be the license plate of the vehicle can be used for billing and payment notification. This has the advantage of ensuring the efficiency of the normal exit of the parking lot by the scheduled vehicles.

[0054] The present invention also provides a parking lot package vehicle information matching device, which can effectively match the package vehicle information when the license plate of the parking lot package vehicle is difficult to recognize, and can ensure the efficiency of the package vehicle leaving the parking lot normally.

[0055] See also Figure 3 , Figure 3 1 is a schematic diagram of the structure of an embodiment of a parking lot package vehicle information matching device of the present invention. In this embodiment, the parking lot package vehicle information matching device 30 includes an acquisition module 31, a reading module 32 and a matching module 33.

[0056] The acquisition module 31 is used to capture a video or photo of the vehicle through a camera when the complete license plate of the package vehicle that needs to leave the parking lot cannot be identified, and to obtain the identified partial license plate information and at least one first feature information of the vehicle from the video or photo.

[0057] The reading module 32 is used to read information from the video or photo of the vehicle to obtain second characteristic information of the vehicle; wherein the second characteristic information includes characteristic information corresponding to all the first characteristic information.

[0058] The matching module 33 is used to match the second feature information with the first feature information of the corresponding type, and determine the license plate information of the vehicle matched with the second feature information with the highest priority in the matching results as the license plate of the vehicle.

[0059] Optionally, the acquisition module 31 may be specifically used for:

[0060] When the complete license plate of a chartered vehicle that needs to leave the parking lot cannot be identified, a video or photo of the vehicle is captured by a camera, and partial license plate information and at least one first feature information of the vehicle are obtained from the video or photo; wherein the at least one first feature information includes vehicle model, color, window decoration, body sticker, etc.

[0061] Optionally, the reading module 32 may be specifically used for:

[0062] By using a convolutional neural network method in deep learning, information is read from the video or photo of the vehicle to obtain second characteristic information of the vehicle; wherein the second characteristic information includes characteristic information corresponding to all the first characteristic information.

[0063] Optionally, the matching module 33 may be specifically used for:

[0064] Construct a database containing multiple first feature information, and associate the corresponding license plate information, and pre-process the second feature information to extract key features to ensure consistency with the format of the first feature information in the database, and use efficient matching algorithms such as cosine similarity and Euclidean distance to match the similarity between the second feature information and the first feature information in the database, sort by similarity, and determine the license plate information of the vehicle matched by the second feature information with the highest priority in the matching results as the license plate of the vehicle.

[0065] See also Figure 4 , Figure 4 1 is a schematic diagram of another embodiment of the parking lot package vehicle information matching device of the present invention. Different from the previous embodiment, the parking lot package vehicle information matching device 40 of this embodiment further includes a charging module 41.

[0066] The charging module 41 is used for charging and notifying payment according to the parking record determined to be the license plate of the vehicle.

[0067] Each unit module of the parking lot package vehicle information matching device 30 / 40 can respectively execute the corresponding steps in the above method embodiment, so each unit module will not be described in detail here. Please refer to the description of the above corresponding steps for details.

[0068] The present invention further provides a computer device, such as Figure 5 As shown, it includes: at least one processor 51; and a memory 52 that is communicatively connected to the at least one processor 51; wherein the memory 52 stores instructions that can be executed by the at least one processor 51, and the instructions are executed by the at least one processor 51 so that the at least one processor 51 can execute the above-mentioned parking lot package vehicle information matching method.

[0069] The memory 52 and the processor 51 are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors 51 and the memory 52 together. The bus can also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor 51 is transmitted on a wireless medium via an antenna, and further, the antenna also receives data and transmits the data to the processor 51.

[0070] The processor 51 is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management and other control functions. The memory 52 can be used to store data used by the processor 51 when performing operations.

[0071] The present invention further provides a computer-readable storage medium storing a computer program, which implements the above method embodiment when executed by a processor.

[0072] It can be found that the above scheme can capture a video or photo of the vehicle through a camera when the complete license plate of a packaged vehicle that needs to leave the parking lot cannot be identified, and obtain the identified partial license plate information and at least one first feature information of the vehicle from the video or photo, and can read the video or photo of the vehicle to obtain the second feature information of the vehicle; wherein the second feature information includes feature information corresponding to all the first feature information, and the second feature information can be matched with the first feature information of the corresponding type, and the license plate information of the vehicle matched with the second feature information with the highest priority in the matching result is determined as the license plate of the vehicle, which can achieve effective matching of the packaged vehicle information when the license plate of the packaged vehicle in the parking lot is difficult to identify, and can ensure the efficiency of the packaged vehicles leaving the parking lot normally.

[0073] Furthermore, the above scheme can capture a video or photo of the vehicle through a camera when the complete license plate of a package vehicle that needs to leave the parking lot cannot be identified, and obtain the identified partial license plate information and at least one first feature information of the vehicle from the video or photo; wherein the at least one first feature information includes vehicle model, color, window decoration, body sticker, etc. The advantage of this is that it can provide basic data for subsequent effective matching of package vehicle information.

[0074] Furthermore, the above scheme can read the information from the video or photo of the vehicle through the convolutional neural network in deep learning, and obtain the second characteristic information of the vehicle; wherein the second characteristic information includes all characteristic information corresponding to the first characteristic information. The advantage of this is that the high adaptability and robustness of the convolutional neural network in deep learning can effectively improve the accuracy and efficiency of reading the vehicle characteristic information.

[0075] Furthermore, the above scheme can construct a database containing multiple types of first feature information, and associate corresponding license plate information, and pre-process the second feature information to extract key features to ensure consistency with the format of the first feature information in the database, and use efficient matching algorithms such as cosine similarity and Euclidean distance to match the similarity between the second feature information and the first feature information in the database, sort by similarity, and determine the license plate information of the vehicle matched with the second feature information with the highest priority in the matching results as the license plate of the vehicle, so as to achieve effective matching of the packaged vehicle information when the license plate of the packaged vehicle in the parking lot is difficult to identify, and ensure the efficiency of the packaged vehicles leaving the parking lot normally.

[0076] Furthermore, the above scheme can charge and notify payment according to the parking record determined as the license plate of the vehicle. The advantage of this is that it can ensure the efficiency of the normal exit of the parking lot for the scheduled vehicles.

[0077] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device implementation described above is only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0078] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0079] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0080] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) or a processor (processor) to perform all or part of the steps of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0081] The above descriptions are only some embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Any equivalent device or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A parking lot package vehicle information matching method, characterized in that: include: When the complete license plate of the package vehicle that needs to leave the parking lot cannot be identified, a video or photo of the vehicle is captured by a camera, and partial license plate information and at least one first feature information of the identified vehicle are obtained from the video or photo; Reading information from the video or photo of the vehicle to obtain second characteristic information of the vehicle; wherein the second characteristic information includes characteristic information corresponding to all the first characteristic information; The second feature information is matched with the first feature information of the corresponding type, and the license plate information of the vehicle matched with the second feature information with the highest priority in the matching result is determined as the license plate of the vehicle.

2. The parking lot package vehicle information matching method according to claim 1, characterized in that: When the complete license plate of the package vehicle that needs to leave the parking lot cannot be identified, a video or photo of the vehicle is captured by a camera, and partial license plate information and at least one first feature information of the identified vehicle are obtained from the video or photo, including: When the complete license plate of a chartered vehicle that needs to leave the parking lot cannot be identified, a video or photo of the vehicle is captured by a camera, and partial license plate information and at least one first feature information of the vehicle are obtained from the video or photo; wherein the at least one first feature information includes vehicle model, color, window decoration, and vehicle body sticker.

3. The parking lot package vehicle information matching method according to claim 1, characterized in that: The information of the video or photo of the vehicle is read to obtain the second characteristic information of the vehicle; wherein the second characteristic information includes characteristic information corresponding to all the first characteristic information, including: By using a convolutional neural network method in deep learning, information is read from the video or photo of the vehicle to obtain second feature information of the vehicle; wherein the second feature information includes feature information corresponding to all the first feature information.

4. The parking lot package vehicle information matching method according to claim 1, characterized in that: The matching of the second feature information with the first feature information of the corresponding type, and determining the license plate information of the vehicle matched with the second feature information with the highest priority in the matching result as the license plate of the vehicle, includes: A database containing multiple first feature information is constructed, and the corresponding license plate information is associated, and the second feature information is preprocessed to extract key features to ensure consistency with the format of the first feature information in the database, and an efficient matching algorithm using cosine similarity and Euclidean distance is used to match the similarity between the second feature information and the first feature information in the database, and the similarity is sorted according to the similarity, and the license plate information of the vehicle matched by the second feature information with the highest priority in the matching results is determined as the license plate of the vehicle.

5. The parking lot package vehicle information matching method according to claim 1, characterized in that: After matching the second feature information with the first feature information of the corresponding type and determining the license plate information of the vehicle matched with the second feature information with the highest priority in the matching results as the license plate of the vehicle, the method further includes: The parking fee is calculated and the payment is notified according to the parking record determined to be the license plate of the vehicle.

6. A parking lot package vehicle information matching device, characterized in that: include: Acquisition module, reading module and matching module; The acquisition module is used to capture a video or photo of the vehicle through a camera when the complete license plate of the package vehicle that needs to leave the parking lot cannot be identified, and to acquire the identified partial license plate information and at least one first feature information of the vehicle from the video or photo; The reading module is used to read information from the video or photo of the vehicle to obtain second characteristic information of the vehicle; wherein the second characteristic information includes characteristic information corresponding to all the first characteristic information; The matching module is used to match the second feature information with the first feature information of the corresponding type, and determine the license plate information of the vehicle matched with the second feature information with the highest priority in the matching results as the license plate of the vehicle.

7. The parking lot package vehicle information matching device according to claim 6, characterized in that: The acquisition module is specifically used for: When the complete license plate of a chartered vehicle that needs to leave the parking lot cannot be identified, a video or photo of the vehicle is captured by a camera, and partial license plate information and at least one first feature information of the vehicle are obtained from the video or photo; wherein the at least one first feature information includes vehicle model, color, window decoration, and vehicle body sticker.

8. The parking lot package vehicle information matching device according to claim 6, characterized in that: The reading module is specifically used for: By using a convolutional neural network method in deep learning, information is read from the video or photo of the vehicle to obtain second feature information of the vehicle; wherein the second feature information includes feature information corresponding to all the first feature information.

9. A computer device, characterized in that: include: at least one processor; And, a memory communicatively connected to at least one processor; wherein the memory stores instructions executable by at least one processor, and the instructions are executed by at least one processor so that at least one processor can execute the parking lot package vehicle information matching method as described in any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a processor, the parking lot package vehicle information matching method as described in any one of claims 1 to 5 is implemented.

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