Tire pressure state determination method, device, equipment, medium and program product

Abstract

The invention discloses a tire air pressure state determination method, device and equipment, a medium and a program product, and belongs to the technical field of tire air pressure detection.The method comprises the steps that an initial tire image of a target tire is obtained; according to the contact length of a target tire in the initial tire image and the ground, performing image cutting processing on the initial tire image to obtain a target tire image; performing semantic segmentation processing on the target tire image to obtain a target image area; determining an overlapping distance of a spoke extension line of each spoke in the target tire image passing through the target image area; and determining the tire pressure state of the target tire according to each overlapping distance and the distance deviation threshold. Under the condition of not depending on a physical sensor, real-time monitoring and accurate determination of the bicycle tire pressure state are achieved; and meanwhile, the use burden of a rider is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of tire pressure detection, and in particular to a tire pressure state determination method, device, equipment, medium and program product. Background Art

[0002] With the widespread use of bicycles in daily travel and sports, real-time monitoring of bicycle tire pressure has become increasingly important. Detecting bicycle tire pressure can help avoid accidents caused by tire problems and ensure riding safety.

[0003] Existing tire pressure detection methods mainly rely on physical sensors or manual inspection, which not only increase the usage burden of riders, but also have certain limitations in detection accuracy. Summary of the invention

[0004] The present invention provides a tire pressure state determination method, device, equipment, medium and program product to reduce the use burden of riders and achieve accurate determination of the tire pressure state of a bicycle without relying on physical sensors.

[0005] According to one aspect of the present invention, a method for determining a tire pressure state is provided, the method comprising:

[0006] Acquire an initial tire image of a target tire;

[0007] According to the contact length between the target tire and the ground in the initial tire image, the initial tire image is cropped to obtain the target tire image;

[0008] Perform semantic segmentation on the target tire image to obtain the target image area;

[0009] Determine the overlap distance of the spoke extension line of each spoke in the target tire image crossing the target image area;

[0010] The tire pressure state of the target tire is determined according to each overlap distance and the distance deviation threshold.

[0011] According to another aspect of the present invention, there is provided a device for determining tire pressure status, the device comprising:

[0012] An initial tire image acquisition module, used to acquire an initial tire image of a target tire;

[0013] A target tire image determination module is used to perform image cropping processing on the initial tire image according to the contact length between the target tire and the ground in the initial tire image to obtain the target tire image;

[0014] A target image region determination module is used to perform semantic segmentation processing on the target tire image to obtain a target image region;

[0015] An overlap distance determination module, used to determine an overlap distance of a spoke extension line of each spoke in the target tire image crossing the target image area;

[0016] The tire pressure state determination module is used to determine the tire pressure state of the target tire according to each overlap distance and the distance deviation threshold.

[0017] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0018] at least one processor; and

[0019] a memory communicatively connected to at least one processor; wherein,

[0020] The memory stores a computer program executable by at least one processor. The computer program is executed by at least one processor so that the at least one processor can execute the tire pressure state determination method according to any embodiment of the present invention.

[0021] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the tire pressure state determination method of any embodiment of the present invention when executed.

[0022] According to another aspect of the present invention, a computer program product is provided, comprising a computer program, and when the computer program is executed by a processor, the method for determining the tire pressure state according to any embodiment of the present invention is implemented.

[0023] The technical solution of the embodiment of the present invention is to obtain an initial tire image of the target tire; perform image cropping on the initial tire image according to the contact length between the target tire and the ground in the initial tire image to obtain the target tire image; perform semantic segmentation on the target tire image to obtain the target image area; determine the overlapping distance of the spoke extension line of each spoke in the target tire image crossing the target image area; and determine the tire pressure status of the target tire according to each overlapping distance and distance deviation threshold. The above technical solution determines the tire pressure status of the target tire by performing image processing and image analysis on the initial tire image of the target tire obtained in real time without relying on physical sensors, thereby achieving real-time monitoring and accurate determination of the tire pressure status of the bicycle; at the same time, there is no need to install a pressure sensor on the bicycle tire, which is simple and easy to operate, thereby reducing the burden on the rider.

[0024] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments 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 creative work.

[0026] Figure 1A is a flow chart of a method for determining tire pressure status according to Embodiment 1 of the present invention;

[0027] Figure 1B is a schematic diagram of an initial tire image provided according to Embodiment 1 of the present invention;

[0028] Figure 1C is a schematic diagram of a target image area provided according to Embodiment 1 of the present invention;

[0029] Figure 2 is a flow chart of a method for determining tire pressure status according to Embodiment 2 of the present invention;

[0030] Figure 3 is a structural schematic diagram of a tire pressure state determination device provided according to Embodiment 3 of the present invention;

[0031] Figure 4 It is a structural schematic diagram of an electronic device for implementing the tire pressure state determination method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0033] It should be noted that the terms "initial", "target", "first" and "second" in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0034] In addition, it should be noted that in the technical solution of the present invention, the collection, storage, use, processing, transmission, provision and disclosure of the rim data and sidewall data of the target tire involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0035] Embodiment 1

[0036] Figure 1A This is a flow chart of a tire pressure state determination method provided in Embodiment 1 of the present invention. This embodiment is applicable to the case of determining the tire pressure state of a bicycle. The method can be executed by a tire pressure state determination device, which can be implemented in the form of hardware and / or software and can be configured in an electronic device. Figure 1A As shown, the method includes:

[0037] S101, acquiring an initial tire image of a target tire.

[0038] The target tire refers to the bicycle tire whose tire pressure state needs to be determined; optionally, the target tire may include a front tire and a rear tire. The initial tire image refers to a tire image that has not undergone any image processing.

[0039] Specifically, the initial tire image of the target tire may be acquired by a high-definition camera installed on the target tire.

[0040] Optionally, after obtaining the initial tire image of the target tire, in order to reduce the computational complexity of the image, the initial tire image may be grayed to obtain a tire gray image; thereafter, in order to remove noise in the image, a preset image denoising algorithm may be used to perform denoising on the tire gray image to obtain a preprocessed initial tire image. The preset image denoising algorithm may be pre-set according to actual business needs, for example, the preset image denoising algorithm may be one of a Gaussian filtering algorithm, a median filtering algorithm, and a bilateral filtering algorithm, etc., and the embodiments of the present invention do not specifically limit it.

[0041] S102: performing image cropping processing on the initial tire image according to the contact length between the target tire and the ground in the initial tire image to obtain a target tire image.

[0042] The contact length refers to the length of the target tire in contact with the ground in the initial tire image.

[0043] For details, see Figure 1B The contact length between the target tire and the ground in the initial tire image is taken as the cropping length, and the width of the initial tire image is taken as the cropping width. The initial tire image is cropped to obtain the target tire image.

[0044] S103: Perform semantic segmentation processing on the target tire image to obtain a target image area.

[0045] The target image area refers to an area required for determining the tire pressure state of the target tire, and is used to characterize the contact deformation of the target tire when the target tire contacts the ground.

[0046] Specifically, based on a preset image semantic segmentation model, semantic segmentation processing may be performed on the target tire image according to the rim data and the sidewall data of the target tire in the target tire image to obtain a target image region.

[0047] The image semantic segmentation model can be obtained by training the neural network with sample tire image data with rim labels and sidewall labels. The rim data includes the outer edge line of the rim and the inner edge line of the rim. The sidewall data refers to the image data of the side part of the target tire; optionally, the sidewall data may include the tire brand logo, tire model, tire specification information, tire production date, sidewall outer edge line and sidewall inner edge line.

[0048] More specifically, the target tire image is input into a preset image semantic segmentation model, and the preset image semantic segmentation model performs semantic segmentation on the target tire image according to the rim outer edge line and the sidewall outer edge line of the target tire in the target tire image to obtain the target image region (see Figure 1C ).

[0049] S104: Determine the overlapping distance of the spoke extension line of each spoke in the target tire image crossing the target image area.

[0050] The spoke extension line refers to the extended line segment obtained by extending the spoke to the ground, and the overlap distance refers to the length of the line segment of the spoke extension line passing through the target image area.

[0051] Specifically, for each spoke extension line, the starting mark point on the inner edge line of the target image area and the ending mark point on the outer edge line of the target image area when the spoke extension line passes through the target image area can be recorded; the straight-line distance between the starting mark point and the ending mark point is calculated as the overlapping distance of the spoke extension line crossing the target image area.

[0052] S105: Determine the tire pressure state of the target tire according to each overlapping distance and the distance deviation threshold.

[0053] The distance deviation threshold may be preset according to actual business requirements and the experience of those skilled in the art, and is not specifically limited in the embodiments of the present invention.

[0054] Specifically, the average value of all overlapping distances can be calculated as the average overlapping distance; the minimum overlapping distance is extracted from all overlapping distances and recorded as the minimum overlapping distance; the distance difference between the average overlapping distance and the minimum overlapping distance is calculated; if the absolute value of the distance difference is less than the distance deviation threshold, it is determined that the tire pressure state of the target tire is normal; otherwise, it is determined that the tire pressure state of the target tire is abnormal.

[0055] The technical solution of the embodiment of the present invention is to obtain an initial tire image of the target tire; perform image cropping on the initial tire image according to the contact length between the target tire and the ground in the initial tire image to obtain the target tire image; perform semantic segmentation on the target tire image to obtain the target image area; determine the overlapping distance of the spoke extension line of each spoke in the target tire image crossing the target image area; and determine the tire pressure status of the target tire according to each overlapping distance and distance deviation threshold. The above technical solution determines the tire pressure status of the target tire by performing image processing and image analysis on the initial tire image of the target tire obtained in real time without relying on physical sensors, thereby achieving real-time monitoring and accurate determination of the tire pressure status of the bicycle; at the same time, there is no need to install a pressure sensor on the bicycle tire, which is simple and easy to operate, thereby reducing the burden on the rider.

[0056] Embodiment 2

[0057] Figure 2 This is a flowchart of a tire pressure state determination method provided in Example 2 of the present invention. Based on the above example, this example further optimizes "determining the tire pressure state of the target tire according to each overlap distance and distance deviation threshold value" and provides an optional implementation scheme. It should be noted that for the parts not described in detail in the example of the present invention, reference can be made to the relevant descriptions of other examples.

[0058] like Figure 2 As shown, the method includes:

[0059] S201: Acquire an initial tire image of a target tire.

[0060] S202: Perform image cropping processing on the initial tire image according to the contact length between the target tire and the ground in the initial tire image to obtain a target tire image.

[0061] S203: Perform semantic segmentation processing on the target tire image to obtain a target image area.

[0062] S204: Determine the overlapping distance of the spoke extension line of each spoke in the target tire image crossing the target image area.

[0063] S205: Extract the maximum overlapping distance and the minimum overlapping distance from each overlapping distance.

[0064] The maximum overlap distance refers to the largest overlap distance among all overlap distances; the minimum overlap distance refers to the smallest overlap distance among all overlap distances.

[0065] Specifically, based on the maximum-minimum algorithm, the maximum overlap distance and the minimum overlap distance are extracted from each overlap distance.

[0066] S206: Calculate the distance difference between the maximum overlap distance and the minimum overlap distance.

[0067] Specifically, the distance difference between the maximum overlap distance and the minimum overlap distance can be calculated by the following formula:

[0068] ΔD=D max -D min ;

[0069] Among them, ΔD represents the distance difference, D max Indicates the maximum overlap distance, D min Indicates the minimum overlap distance.

[0070] S207: If the distance difference is within the deviation range of the distance deviation threshold, it is determined that the tire pressure state of the target tire is normal.

[0071] Among them, the deviation range of the distance deviation threshold can be preset according to actual business requirements and the experience of technical personnel in this field. For example, the deviation range of the distance deviation threshold can be 5% of the distance deviation threshold, which is not specifically limited in the embodiment of the present invention.

[0072] S208: Otherwise, determine that the tire pressure state of the target tire is abnormal.

[0073] Specifically, if the distance difference is not within the deviation range of the distance deviation threshold, it is determined that the tire pressure state of the target tire is in an abnormal state.

[0074] Optionally, the abnormal state may include a slightly insufficient tire pressure state and a seriously insufficient tire pressure state.

[0075] Optionally, when the tire pressure state of the target tire is abnormal, the target abnormal air pressure state corresponding to the distance difference can be determined from the first correspondence table with the distance difference as an index condition; wherein the first correspondence table is used to store the correspondence between the abnormal tire pressure state and the distance difference; then, with the target abnormal air pressure state as an index condition, the target warning level corresponding to the target abnormal air pressure state is determined from the second correspondence table; wherein the second correspondence table is used to store the correspondence between the abnormal tire pressure state and the warning level; according to the target warning level, a warning mechanism matching the target warning level is triggered, warning prompt information is generated, and the warning prompt information is displayed to the rider through a display device, or the warning prompt information is broadcast to the rider through a voice broadcast device, so that the rider can maintain the bicycle tire in time according to the warning prompt information to reduce tire wear, extend the tire service life of the bicycle tire, and ensure riding safety.

[0076] The technical solution of the embodiment of the present invention is to obtain the initial tire image of the target tire; perform image cropping on the initial tire image according to the contact length between the target tire and the ground in the initial tire image to obtain the target tire image; perform semantic segmentation on the target tire image to obtain the target image area; determine the overlapping distance of the spoke extension line of each spoke in the target tire image crossing the target image area; extract the maximum overlapping distance and the minimum overlapping distance from each overlapping distance; calculate the distance difference between the maximum overlapping distance and the minimum overlapping distance; if the distance difference is within the deviation range of the distance deviation threshold, determine that the tire pressure state of the target tire is normal; otherwise, determine that the tire pressure state of the target tire is abnormal. The above technical solution determines the tire pressure state of the target tire by performing image processing and image analysis on the initial tire image of the target tire obtained in real time without relying on physical sensors, thereby realizing real-time monitoring and accurate determination of the tire pressure state of the bicycle; at the same time, there is no need to install a pressure sensor on the bicycle tire, which is simple and easy to operate, thereby reducing the burden on the rider.

[0077] On the basis of the above-mentioned embodiment, as an optional method of the embodiment of the present invention, it is also possible to: count the number of tread blocks of the target tire in contact with the ground in the target tire image; if the number of tread blocks is less than or equal to the tread block number threshold, determine that the tire pressure state of the target tire is normal; otherwise, determine that the tire pressure state of the target tire is abnormal.

[0078] Wherein, a pattern block refers to a block-shaped structure pattern on a target tire. The number of pattern blocks refers to the total number of pattern blocks of the target tire in contact with the ground. The pattern block number threshold can be preset by the experience of those skilled in the art, for example, the pattern block number threshold can be 5, and the embodiment of the present invention does not specifically limit it.

[0079] It can be understood that determining the tire pressure state of the target tire by counting the number of tread blocks of the target tire in contact with the ground in the target tire image is simple and convenient, does not require complex calculations, saves computing resources, and can quickly determine the tire pressure state of the target tire.

[0080] Embodiment 3

[0081] Figure 3 This is a schematic diagram of the structure of a tire pressure state determination device provided in Embodiment 3 of the present invention. This embodiment is applicable to the case of determining the tire pressure state of a bicycle. The device can be implemented in the form of hardware and / or software and can be configured in an electronic device. Figure 3 As shown, the device comprises:

[0082] An initial tire image acquisition module 301 is used to acquire an initial tire image of a target tire;

[0083] The target tire image determination module 302 is used to perform image cropping processing on the initial tire image according to the contact length between the target tire and the ground in the initial tire image to obtain the target tire image;

[0084] The target image region determination module 303 is used to perform semantic segmentation processing on the target tire image to obtain the target image region;

[0085] An overlap distance determination module 304 is used to determine an overlap distance of a spoke extension line of each spoke in the target tire image crossing the target image area;

[0086] The tire pressure state determination module 305 is used to determine the tire pressure state of the target tire according to each overlap distance and the distance deviation threshold.

[0087] The technical solution of the embodiment of the present invention is to obtain an initial tire image of the target tire; perform image cropping on the initial tire image according to the contact length between the target tire and the ground in the initial tire image to obtain the target tire image; perform semantic segmentation on the target tire image to obtain the target image area; determine the overlapping distance of the spoke extension line of each spoke in the target tire image crossing the target image area; and determine the tire pressure status of the target tire according to each overlapping distance and distance deviation threshold. The above technical solution determines the tire pressure status of the target tire by performing image processing and image analysis on the initial tire image of the target tire obtained in real time without relying on physical sensors, thereby achieving real-time monitoring and accurate determination of the tire pressure status of the bicycle; at the same time, there is no need to install a pressure sensor on the bicycle tire, which is simple and easy to operate, thereby reducing the burden on the rider.

[0088] Optionally, the target image area determination module 303 is specifically configured to:

[0089] Based on a preset image semantic segmentation model, semantic segmentation processing is performed on the target tire image according to the rim data and sidewall data of the target tire in the target tire image to obtain a target image area.

[0090] Optionally, the tire pressure state determination module 305 is specifically used to:

[0091] Extract the maximum overlap distance and the minimum overlap distance from each overlap distance;

[0092] Calculate the distance difference between the maximum overlap distance and the minimum overlap distance;

[0093] If the distance difference is within the deviation range of the distance deviation threshold, it is determined that the tire pressure state of the target tire is normal;

[0094] Otherwise, it is determined that the tire pressure state of the target tire is in an abnormal state.

[0095] Optionally, the device further includes a state determination module, wherein the state determination module is specifically configured to:

[0096] Count the number of tread blocks of the target tire in contact with the ground in the target tire image;

[0097] If the number of pattern blocks is less than or equal to the pattern block number threshold, determining that the tire pressure state of the target tire is in a normal state;

[0098] Otherwise, it is determined that the tire pressure state of the target tire is in an abnormal state.

[0099] The tire pressure state determination device provided in the embodiment of the present invention can execute the tire pressure state determination method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing each tire pressure state determination method.

[0100] According to an embodiment of the present invention, the present invention also provides an electronic device, a readable storage medium and a computer program product.

[0101] Embodiment 4

[0102] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0103] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, ROM 12 and RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0104] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0105] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a tire pressure state determination method.

[0106] In some embodiments, the tire pressure state determination method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the tire pressure state determination method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the tire pressure state determination method in any other appropriate manner (e.g., by means of firmware).

[0107] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0108] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0109] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0110] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0111] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0112] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0113] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0114] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for determining tire pressure status, characterized in that: include: Acquire an initial tire image of a target tire; performing image cropping processing on the initial tire image according to the contact length between the target tire and the ground in the initial tire image to obtain a target tire image; performing semantic segmentation processing on the target tire image to obtain a target image area; determining an overlapping distance between an extension line of each spoke in the target tire image and the target image area; The tire pressure state of the target tire is determined according to each overlap distance and the distance deviation threshold.

2. The method according to claim 1, characterized in that Performing semantic segmentation processing on the target tire image to obtain a target image area, including: Based on a preset image semantic segmentation model, semantic segmentation processing is performed on the target tire image according to the rim data and sidewall data of the target tire in the target tire image to obtain a target image area.

3. The method according to claim 1, characterized in that The step of determining the tire pressure state of the target tire according to the overlap distances and the distance deviation thresholds includes: Extract the maximum overlap distance and the minimum overlap distance from each overlap distance; Calculating a distance difference between the maximum overlap distance and the minimum overlap distance; If the distance difference is within a deviation range of a distance deviation threshold, determining that the tire pressure state of the target tire is normal; Otherwise, it is determined that the tire pressure state of the target tire is abnormal.

4. The method according to claim 1, wherein The method further comprises: Counting the number of tread blocks of the target tire in contact with the ground in the target tire image; If the number of pattern blocks is less than or equal to a pattern block number threshold, determining that the tire pressure state of the target tire is normal; Otherwise, it is determined that the tire pressure state of the target tire is abnormal.

5. A tire pressure state determination device, characterized in that: include: An initial tire image acquisition module, used to acquire an initial tire image of a target tire; a target tire image determination module, configured to perform image cropping processing on the initial tire image according to the contact length between the target tire and the ground in the initial tire image to obtain a target tire image; a target image region determination module, configured to perform semantic segmentation processing on the target tire image to obtain a target image region; an overlap distance determination module, configured to determine an overlap distance of an extension line of each spoke in the target tire image crossing the target image area; The tire pressure state determination module is used to determine the tire pressure state of the target tire according to each overlap distance and the distance deviation threshold.

6. The device according to claim 5, characterized in that The target image area determination module is specifically configured to: Based on a preset image semantic segmentation model, semantic segmentation processing is performed on the target tire image according to the rim features and sidewall features of the target tire in the target tire image to obtain a target image area.

7. The device according to claim 5, characterized in that The tire pressure status determination module is specifically used to: Extract the maximum overlap distance and the minimum overlap distance from each overlap distance; Calculating a distance difference between the maximum overlap distance and the minimum overlap distance; If the distance difference is within a deviation range of a distance deviation threshold, determining that the tire pressure state of the target tire is normal; Otherwise, it is determined that the tire pressure state of the target tire is abnormal.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor. The computer program is executed by the at least one processor to enable the at least one processor to perform the tire pressure state determination method according to any one of claims 1 to 4.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the tire pressure state determination method according to any one of claims 1 to 4 when executed. 10 . A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the tire pressure state determination method according to claim 1 .

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