JP2024030984A - Tire management method and system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a tire management method and system capable of more surely identifying a tire corresponding to an object tire from among many tires stored in an arithmetic unit with high accuracy without requiring excessive work man-hours.

SOLUTION: Internal transparent image data D of each tire T acquired by a main image acquisition device 2A is associated with unique information of the tire T and stored in an arithmetic unit 5, object image data Dc of an object tire Tc is acquired by an object image acquisition device 2B, a collation candidate is extracted from each image data D on the basis of a portion of the unique information of the object tire Tc acquired from a mark M of the surface of the object tire Tc and the unique information of each tire T associated with each image data D, and a tire corresponding to image data D having the highest coincidence with the object image data Dc in the image data D of the collation candidate is identified as the object tire Tc.

SELECTED DRAWING: Figure 1

COPYRIGHT: (C)2024,JPO&INPIT

Description

The present invention relates to a tire management method and system, and more specifically, the present invention relates to a tire management method and system, and more specifically, it more reliably and accurately selects tires that correspond to target tires from among a large number of tires stored in a computing device while avoiding excessive work man-hours. This invention relates to a method and system for managing tires that can be identified.

In the tire manufacturing process, in order to improve traceability, it has been proposed to record manufacturing conditions, materials used, etc. for each tire (see Patent Document 1). Quality information such as tire uniformity and balance may also be recorded. In the method proposed in Patent Document 1, an identification label attached to a tire and unique information of the tire are stored in a computing device in association with each other. By reading the identification label with a label reader, unique information about each tire can be obtained, which is extremely useful for improving traceability.

If a barcode or the like is used as an identification label, it may become unreadable due to dirt or scratches. Further, when an IC tag is used as an identification label, it is also assumed that the IC tag may malfunction (damage).

A mark (engraved stamp) indicating information such as the tire manufacturer, tire size, and date of manufacture of the tire is attached to the surface of the tire. Therefore, based on these marks, it is possible to relatively easily grasp the outline of the manufacturing conditions and materials used for each tire stored in the computing device. However, since these marks do not identify and specify each tire, it is not possible to accurately grasp the manufacturing conditions and materials used of the target tire in detail. Therefore, there is room for improvement in order to more reliably and accurately identify a tire that corresponds to a target tire from among a large number of tires stored in a computing device without requiring an excessive number of man-hours.

Patent No. 7092240

An object of the present invention is to provide a tire management method and system that more reliably and accurately identify a tire that corresponds to a target tire from among a large number of tires stored in a calculation device without requiring excessive work man-hours. It is about providing.

The tire management method of the present invention is a tire management method in which a target tire is identified using internal perspective image data of the tire, in which the internal perspective image data of each tire is acquired in advance, and the internal perspective image data of each tire is acquired in advance. Fluoroscopic image data is stored in a calculation device in association with unique information of the tire, and when specifying the target tire, the internal fluoroscopic image data of the target tire is acquired as the target image data, and the target tire is A part of the unique information of the target tire is acquired from a mark attached to the surface of the tire, and the acquired part of the unique information of the target tire and each of the internal transparent views stored in the arithmetic unit are A matching candidate is extracted from each of the internal perspective image data stored in the computing device based on the image data and the unique information of each of the tires associated with the image data, and the extracted matching candidate is By performing a matching process that calculates the degree of coincidence between the internal perspective image data and the target image data, the internal perspective image data that has the highest degree of coincidence with the target image data is selected, and the selected internal perspective image The present invention is characterized in that the tire corresponding to the data is specified as the target tire.

The tire management system of the present invention is a tire management system that identifies a target tire using tire internal perspective image data, and includes a main image acquisition device that acquires the internal perspective image data of each tire; a computing device in which the internal perspective image data of the target tire and the unique information of the tire are stored in a linked manner; and when specifying the target tire, the internal perspective image data of the target tire is acquired as target image data. a target image acquisition device; and an input unit for inputting a part of the unique information of the target tire acquired from a mark attached to the surface of the target tire to the calculation device; Based on a part of the unique information of the target tire input to the calculation device and the unique information of each tire linked to each of the internal perspective image data stored in the calculation device an extraction step in which a matching candidate is extracted from each of the internal perspective image data stored in the arithmetic unit; and a degree of matching between the internal perspective image data of the extracted matching candidate and the target image data. a matching step of performing a matching process to calculate A specific step specified as:

According to the present invention, even if the number of internal perspective image data stored in the calculation device is enormous, the unique information of the target tire obtained from the mark attached to the surface of the target tire By using the unique information of each tire that is linked to the internal perspective image data stored in the arithmetic unit, it becomes a matching candidate when identifying the target tire. The number of internal fluoroscopic image data can be significantly reduced. Therefore, it is advantageous to avoid excessive work man-hours. Then, by performing a matching process to calculate the degree of coincidence between the internal perspective image data of the extracted matching candidate and the target image data, and using the calculated degree of coincidence as an index, the computing device The tire corresponding to the target tire can be specified more reliably and accurately from among the tires stored in the tire.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is an explanatory diagram illustrating an embodiment of a tire management system with a tire in a cross section. FIG. 2 is an explanatory diagram illustrating the main image acquisition device (target image acquisition device) of FIG. 1 in a top view. FIG. 2 is an explanatory diagram illustrating the right half of the tire in a cross-sectional view. FIG. 2 is an explanatory diagram schematically illustrating internal perspective image data of a tire. FIG. 3 is an explanatory diagram illustrating a process of matching processing.

EMBODIMENT OF THE INVENTION Hereinafter, the tire management method and system of the present invention will be explained based on the embodiment shown in the drawings.

By using the embodiment of the tire management system 1 (hereinafter referred to as the management system 1) illustrated in FIG. 1 and FIG. It is possible to specify which of the tires T this corresponds to. That is, this management system 1 has a function of identifying each individual tire among a large number of tires T stored in the storage device 5. Arrows W, R, and C in the figure indicate the width direction, radial direction, and circumferential direction of the tire T, respectively. Further, a dashed-dotted line CL in the figure indicates a center line passing through the center in the width direction of the tire.

As illustrated in FIG. 3, the tire T is composed of many types of tire members E (E1 to E7). Although only the right half of the tire T is shown in FIG. 3, the left half has substantially the same structure. In a typical tire T, an inner liner layer E1 is disposed on the innermost periphery, and a carcass layer E2 is laminated on the outer periphery of the inner liner layer E1. The carcass layer E2 contains a large number of fiber cords. The carcass layer E2 is mounted between a pair of left and right bead portions E3. Both left and right end portions of the carcass layer E2 are folded back from the inside of the tire to the outside around the bead core of each bead portion E3.

A belt layer E4 is embedded in the outer circumference of the carcass layer E2 at the center in the tire width direction, and a tread portion E7 is laminated on the outer circumference of the belt layer E4. Belt layer E4 includes a number of metal cords. The number of layers of the belt layer E4 is appropriately set. Side portions E5 are laminated on the outer sides of the carcass layer E2 on both sides in the tire width direction. A shoulder portion E6 is laminated on the outside of the carcass layer E2 between the tread portion E7 and each side portion E5.

The tire T is not limited to the structure illustrated in FIG. 3, and various structures may be employed. For example, in addition to the above-mentioned members, a belt cover layer may be provided which is laminated to cover both ends of the belt layer 7 on the outer peripheral side of the belt layer E4. The tire T is a composite body made of multiple types of materials such as vulcanized rubber, metal (metal cord), and resin (fiber cord).

As illustrated in FIGS. 1 and 2, the management system 1 includes a main image acquisition device 2A (hereinafter referred to as image acquisition device 2A), a target image acquisition device 2B (hereinafter referred to as image acquisition device 2B), and a calculation device 5. 6. A monitor 7 is connected to the arithmetic device 5 by wire or wirelessly. In this embodiment, the management system 1 further includes a tire holding machine 8 that holds the tires T.

The tire holding machine 8 has a holding part 8a that holds the tire T, and a rotating shaft 8b to which the holding part 8a is fixed and rotationally driving the holding part 8a. The holding portion 8a is equivalent to a rim, and the tire T is held in the holding portion 8a at a predetermined air pressure. By rotationally driving the rotating shaft 8b by a drive motor or the like, the tire T held by the holding portion 8a is rotationally driven around the rotating shaft 8b.

The image acquisition device 2A acquires internal perspective image data D (hereinafter referred to as image data D) of the tire T. The image acquisition device 2B acquires image data D of the target tire Tc. The image data D of the target tire Tc is treated as target image data Dc. The image acquisition device 2A and the image acquisition device 2B may be separate devices, and the image acquisition device 2A can also be used as the image acquisition device 2B as in this embodiment. Hereinafter, the image acquisition device 2A and the image acquisition device 2B will be collectively referred to as image acquisition devices 2A and 2B.

An example of the image acquisition devices 2A and 2B is an inspection device using electromagnetic waves, and in this embodiment, an X-ray inspection device is used. Known X-ray inspection apparatuses with various specifications can be used as the image acquisition apparatuses 2A and 2B. These image acquisition devices 2A and 2B have an irradiation section 3 that irradiates X-rays and a light reception section 4 that receives the irradiated X-rays. In this embodiment, the irradiation section 3 is arranged inside the tire T. The light receiving section 4 is arranged on the outside of the tire T. The light receiving section 4 is formed in a shape that covers the tread section E7, the shoulder section E6, and the side section E5.

The light receiving section 4 may be configured to be capable of acquiring image data D (Dc) of a desired range of the tire T. For example, if all that is needed is to acquire the image data D (Dc) of the side portion E5, the shape may be made to cover only the side portion E5, and if all that is needed is to be acquired the image data D (Dc) of the shoulder portion E6 It may be shaped to cover only the shoulder portion E6, or it may be shaped to cover only the tread portion E7 as long as it is sufficient to acquire the image data D (Dc) of the tread portion E7. Therefore, the image acquisition devices 2A and 2B are not limited to the specifications illustrated in FIGS. 1 and 2, but may adopt specifications that can acquire image data D (Dc) of a desired range of the tire T.

Each image data D (Dc) is acquired by setting each tire T (Tc) to the same state and conditions. Further, it is preferable that each image data D (Dc) is set to the same size, that is, set to the same scale size with respect to the tire T (Tc).

In order to specify the target tire Tc with higher accuracy, it is preferable to use image acquisition devices 2A and 2B that can acquire image data D (Dc) of a wider range of the tire T. In this embodiment, since the image data D (Dc) can be obtained by shifting the tire T in the circumferential direction C by the tire holding device 8, continuous images of the tread portion E7, shoulder portion E6, and side portion E5 for one rotation of the tire T can be obtained. Data D (Dc) can be obtained.

Image data D (Dc) acquired by the image acquisition devices 2A and 2B is input to the calculation device 5. Further, an input section 6 is communicably connected to the arithmetic device 5.

As the arithmetic device 5, various known computers, computer servers, etc. are used, and are equipped with a CPU, memory, and the like. Various data are input and stored in the arithmetic unit 5, and arithmetic processing is performed using these data. This arithmetic device 5 is installed with software that performs a matching process for image data D (Dc), which will be described later.

The input unit 6 is a device that inputs desired data (information) to the arithmetic device 5. As the input unit 6, a known keyboard, tablet terminal, mouse, or the like is used. In this embodiment, part of the unique information F of the target tire Tc (hereinafter referred to as mark M information) obtained from the mark M such as a stamp attached to the surface of the target tire Tc is calculated using the input unit 6. It is input into the device 5. Examples of mark M information include manufacturer information, tire brand name information, tire size information, manufacturing time information, manufacturing location information, and mold number used when vulcanizing the tire of the target tire Tc.

The monitor 7 is capable of displaying image data D (Dc) acquired by the image acquisition devices 2A and 2B, various arithmetic processing results by the arithmetic device 5, and the like.

In the image acquisition devices 2A and 2B, the tire T (tread portion E7, shoulder portion E6, and side portion E5) held by the tire holding machine 8 is arranged between the irradiation unit 3 and the light receiving unit 4. Therefore, the X-rays emitted from the irradiating section 3 and transmitted through the tire T are received by the light receiving section 4. Therefore, image data D (Dc) based on the X-ray transparency of the tire T is acquired by the image acquisition devices 2A and 2B.

The tire T is composed of multiple types of members (materials), and the specific gravity (density) of each member is not the same. Since the X-ray transmittance varies depending on the specific gravity (density) of the member, shading occurs in the image data D accordingly. Therefore, the image data D (Dc) illustrated in FIG. 4 can be acquired by the image acquisition devices 2A and 2B. In the image data D (Dc), the state (direction and spacing) of the fiber cords in the carcass layer E2 and the state (direction and spacing) of the metal cords in the belt layer E4 can be clearly understood. The X-ray irradiation intensity (voltage and current of the X-ray tube) in the image acquisition devices 2A and 2B is set within a range that allows acquisition of clear image data D (Dc) by conducting preliminary tests and the like.

It is natural that the condition of the fiber cord in the carcass layer E2 and the condition of the metal cord in the belt layer E4 will be different between tires T with different specifications, but even for tires T with the same specifications, the fiber cord in the carcass layer E2 will be different. There are slight differences in the state of the belt layer E4 and the state of the metal cord of the belt layer E4. Therefore, each tire T has different image data D from each other. The present invention has been created with this point in mind.

Hereinafter, an example of a procedure for identifying a tire corresponding to the target tire Tc from among a large number of tires T stored in the arithmetic device 5 using this management system 1 will be described.

First, as illustrated in FIGS. 1 and 2, image data D of a large number of tires T is acquired using the image acquisition device 2A. While rotating the tire T around the rotating shaft 8b, the irradiation unit 3 emits X-rays, and the X-rays that have passed through the tire T are sequentially received by the light receiving unit 4, resulting in image data D illustrated in FIG. be obtained. Generally, in a tire T manufacturing factory, image data D of each tire T is acquired during inspection in the manufacturing process, so it is preferable to use the image data D acquired in the manufacturing process. That is, it is preferable to acquire image data D of the tire T when it is not in use.

Each acquired image data D is stored in the calculation device 5 in association with the unique information F of the tire T. The unique information F includes, for example, each material used for the tire T, its lot number, manufacturing conditions (material mixing conditions, molding conditions, vulcanization conditions), and the like. Further, as part of the unique information T of each tire T, the above-mentioned mark M information is also stored in the arithmetic unit 5 in association with the image data D of that tire T. Therefore, the tire manufacturer can store the image data D of a huge number of tires T in the arithmetic device 5 in association with its unique information F.

It is also possible to acquire the image data D of each tire D in a place other than the manufacturing process of the tire T, for example, at a stock warehouse for the tires T, and store it in the arithmetic device 5 in association with the unique information F of the tire T. However, in consideration of work efficiency, it is preferable that these works be performed at a tire manufacturing factory.

For example, when a target tire Tc with a risk of quality abnormality is found on the market, it is specified to which of the tires T stored in the calculation device 5 the target tire Tc corresponds. Therefore, when identifying the target tire Tc, the image acquisition device 2B is used to acquire target image data Dc of the target tire Tc in the same manner as the image data D described above. Further, with reference to the appearance of the target tire Tc, the above-mentioned mark M information of the target tire Tc is acquired and input to the calculation device 5 using the input unit 6. Note that the target tire Tc may be unused or used.

The mark M information of the target tire Tc may include tire manufacturer information, tire size information, and tire manufacturing time information. Furthermore, it is preferable to input tire manufacturing date and place information to the calculation device 5 as the mark M information. That is, it is preferable to input as many types of mark M information that can be obtained from the target tire Tc into the calculation device 5 as possible. If the target tire Tc has already been used and part of the mark M has disappeared due to rubbing, etc., the mark M information remaining on the target tire Tc is input to the calculation device 5.

Next, the arithmetic unit 5 performs an extraction step. In the extraction step, the calculation device 5 uses the input mark M information of the target tire Tc and the unique information F of each tire T linked to each image data D stored in the calculation device 5. Based on this, matching candidates to be subjected to matching processing are extracted from each image data D stored in the arithmetic device 5.

The unique information F of the tire T linked to each image data D stored in the arithmetic device 5 includes mark M information of each tire T. Therefore, the image data D having the unique information F that matches the input mark M information of the target tire Tc is extracted and used as a matching candidate for the matching process.

By using the mark M information of the target tire Tc in this way, even if the number of image data D (tires T) stored in the calculation device 5 is enormous, it can be used as a matching candidate when identifying the target tire Tc. The number of image data D can be significantly reduced. Therefore, it is advantageous to avoid an excessive number of man-hours for specifying the target tire Tc. By using more types of mark M information, it becomes even more advantageous to narrow down the image data D to be compared to a smaller number.

Next, the arithmetic unit 5 performs a matching step. In the matching step, the calculation device 5 performs matching processing to calculate the degree of matching between the extracted image data D of the matching candidate and the target image data Dc. As illustrated in FIG. 5, this matching process uses a so-called pattern in which the target image data Dc is used as a template image, and the target image data Dc and each image data D of the matching candidates are compared to calculate the mutual matching degree. Perform matching. This matching process can utilize various known software that performs pattern matching.

In addition, in the matching process, it is also possible to match the image data D for one revolution of the tire T (Tc) with the target image data Dc, but in order to reduce the load of calculation processing, the target image data Dc is It is preferable to use data of a part of the section in the circumferential direction C. For example, target image data Dc of an area of 1/A of the entire circumference of the tire (A is, for example, 2 or more and 8 or less) is used. If the section (area) of the target image data Dc becomes smaller, it is advantageous in reducing the time required for calculation processing, but if this section (area) is too small, the characteristics of the target image data Dc will be greatly lost. , the accuracy of identifying the target tire T decreases. Therefore, as described above, the target image data Dc is preferably set in an area of 1/8 to 1/2 of the entire circumference of the tire.

When using the target image data Dc of a part of the section in the tire circumferential direction C, in the matching process with each image data Dc, this target image data Dc is moved at an appropriate pitch and compared with the image data D, A position (section) in the image data D that has the highest degree of matching with the target image data Dc is searched for. For example, in one matching process, searching is performed multiple times, and in the first search, the target image data Dc is moved at a constant pitch within the image data D to be matched, and a highly similar location is initially screened. . In the second search, a focused re-search is performed on the parts with high similarity detected in the first search, and the image with high clarity is obtained by lowering the compression level of the image data. Find the location. This makes it possible to reduce the time required for matching processing while maintaining high identification accuracy of the target tire Tc.

If the target tire Tc has already been used and a part is damaged or is excessively deformed, the target image data Dc of the section excluding the damaged or deformed part is Used for matching processing. Thereby, it is possible to avoid a decrease in the accuracy of identifying the target tire Tc.

Further, when the inner surface of the tire T (Tc) is provided with appendages such as a sound absorbing material or an electronic module, these appendages are often reflected in the image data D (Dc). These attachments tend to have different installation positions and orientations for each tire T (Tc). Therefore, when such an appendage is provided, it is preferable to use target image data Dc of a section including a portion where the appendage is reflected in the matching process. This also makes it possible to improve the accuracy of identifying the target tire T.

Further, the matching process may be performed by image processing the image data D and the target image data Dc into an edge aggregate model. That is, by leaving only the edge portions in the image data D and the target image data Dc to form a simplified edge aggregate model, it becomes possible to reduce the computational processing load in the matching process. If data of a part of the section in the tire circumferential direction C is used as the target image data Dc, the number of man-hours for creating an edge aggregate model can be reduced.

However, in the edge aggregate model, if the minimum edge length is too small, even minute edges will be included in the image data, which will reduce the effect of reducing the computational processing load. Therefore, the minimum edge length is, for example, 2 mm or more, more preferably 5 mm or more. On the other hand, if the minimum edge length is too large, the loss of characteristics of each of the image data D and the target image data Dc becomes large, and the accuracy of identifying the target tire Tc decreases. Therefore, the minimum edge length is, for example, 20 mm or less, more preferably 10 mm or less.

Next, the arithmetic device 5 performs a specifying step. In the identification step, by performing matching processing on all the image data D that are matching candidates, the image data D that has the highest degree of matching with the target image data Dc is determined. selected. Then, the tire T corresponding to the selected image data D is specified as the target tire Tc.

As described above, each tire T has different image data D, so the matching degree calculated by performing matching processing with the target image Dc is used to store the image data D in the calculation device 5. The tire T that corresponds to the target tire Tc from among the tires T can be specified more reliably and accurately. Accordingly, each material used in the target tire Tc, its lot number, manufacturing conditions (material mixing conditions, molding conditions, vulcanization conditions), etc. can be grasped in detail. As a result, it is advantageous to more accurately and quickly identify the cause of the quality problem in the target tire Tc, and to take effective countermeasures quickly.

If the target tire Tc is any tire T stored in the storage device 5, the individual can be identified and specified using the same procedure as described above. The type of tire T to which the present invention is applied is not particularly limited, and may be of various types other than pneumatic tires.

If the tire T is a retread tire, each time it is retreaded, each material used at that time, its lot number, and manufacturing conditions (material mixing conditions, molding conditions, vulcanization conditions) are added and stored in the computing device 5. I'll keep it. As a result, if the target tire Tc is a stand tire for retreading, by specifying the tire T corresponding to the target tire Tc from among the tires T stored in the calculation device 5, the manufacturing history in retreading can also be detailed. This greatly contributes to improving the quality control of retread tires.

Using 20 pneumatic tires T for passenger cars with the same specifications, each tire T was set as a target tire Tc, and the applicable tire T was identified from among the 20 tires by the method described above. In the matching process, image data D and target image data Dc were image-processed into a model of a collection of edges (minimum edge length was 4 mm). Further, as the target image data Dc, a 1/4 section in the tire circumferential direction was used. It was possible to identify the correct tires T for all target tires Tc, both when all target tires Tc were unused and when they were used to some extent (mileage distance of about 100 km).

This disclosure includes the following inventions.
[Invention 1]: A tire management method for identifying a target tire using tire internal perspective image data, comprising:
Obtaining the internal perspective image data of each tire in advance and storing each internal perspective image data in a computing device in association with unique information of the tire,
When identifying the target tire, the internal perspective image data of the target tire is acquired as target image data, and part of the unique information of the target tire is acquired from marks attached to the surface of the target tire. ,
The calculation is performed based on a part of the acquired unique information of the target tire and the unique information of each tire that is linked to each internal perspective image data stored in the calculation device. By extracting matching candidates from each of the internal perspective image data stored in the device, and performing a matching process to calculate the degree of matching between the internal perspective image data of the extracted matching candidates and the target image data. , a tire management method that selects the internal perspective image data that has the highest degree of matching with the target image data, and specifies the tire corresponding to the selected internal perspective image data as the target tire.
[Invention 2]: The tire management method according to [Invention 1], which includes tire manufacturer information, tire size information, and tire manufacturing date information as part of the unique information of the target tire acquired from the mark.
[Invention 3]: The tire management method according to [Invention 1] or [Invention 2], wherein each of the internal perspective image data is acquired in each of the tire manufacturing processes.
[Invention 4]: Tire management according to any one of [Invention 1] to [Invention 3], wherein the internal perspective image data and the target image data are image-processed into an edge aggregate model and the matching process is performed. Method.
[Invention 5]: The tire management method according to any one of [Invention 1] to [Invention 4], in which data of a partial section in the tire circumferential direction is used as the target image data.
[Invention 6]: The tire management method according to any one of [Invention 1] to [Invention 5], wherein the target tire is a stand tire for retreading.
[Invention 7]: A tire management system that identifies a target tire using tire internal perspective image data,
A main image acquisition device that acquires the internal perspective image data of each tire, an arithmetic device that stores each internal perspective image data and unique information of the tire in association with each other, and specifies the target tire. In this case, a target image acquisition device that acquires the internal perspective image data of the target tire as target image data, and a part of the unique information of the target tire acquired from marks attached to the surface of the target tire. an input section for inputting input to the arithmetic device,
The calculation device includes a portion of the unique information of the target tire inputted to the calculation device, and the information of each tire that is linked to the internal perspective image data stored in the calculation device. an extraction step in which matching candidates are extracted from each of the internal perspective image data stored in the arithmetic unit based on the unique information;
a matching step of performing a matching process to calculate a degree of matching between the internal perspective image data of the extracted matching candidate and the target image data;
A specifying step is performed in which the internal perspective image data having the highest degree of matching with the target image data is selected, and the tire corresponding to the selected internal perspective image data is identified as the target tire. Tire management system.

1 Management system 2A Main image acquisition device (X-ray inspection device)
2B Target image acquisition device (X-ray inspection device)
3 Irradiation section 4 Light receiving section 5 Arithmetic device 6 Input section 7 Monitor 8 Tire holder 8a Holding section 8b Rotating shaft T Tire Tc Target tire E Tire member E1 Inner liner layer E2 Carcass layer E3 Bead section E4 Belt layer E5 Side section E6 Shoulder Section E7 Tread section M Mark D Image data Dc Target image data

Claims (7)

A tire management method that identifies a target tire using tire internal perspective image data, the method comprising:
Obtaining the internal perspective image data of each tire in advance and storing each internal perspective image data in a computing device in association with unique information of the tire,
When identifying the target tire, the internal perspective image data of the target tire is acquired as target image data, and part of the unique information of the target tire is acquired from marks attached to the surface of the target tire. ,
The calculation is performed based on a part of the acquired unique information of the target tire and the unique information of each tire that is linked to each internal perspective image data stored in the calculation device. By extracting matching candidates from each of the internal perspective image data stored in the device, and performing a matching process to calculate the degree of matching between the internal perspective image data of the extracted matching candidates and the target image data. , a tire management method that selects the internal perspective image data that has the highest degree of matching with the target image data, and specifies the tire corresponding to the selected internal perspective image data as the target tire. The tire management method according to claim 1, wherein the tire manufacturer information, tire size information, and tire manufacturing time information are included as part of the unique information of the target tire acquired from the mark. The tire management method according to claim 1 or 2, wherein each of the internal perspective image data is acquired in a manufacturing process of each of the tires. 3. The tire management method according to claim 1, wherein the matching process is performed by image processing the internal perspective image data and the target image data into an edge aggregate model. 3. The tire management method according to claim 1, wherein data of a partial section in the tire circumferential direction is used as the target image data. The tire management method according to claim 1 or 2, wherein the target tire is a stand tire for retreading. A tire management system that identifies a target tire using tire internal perspective image data,
A main image acquisition device that acquires the internal perspective image data of each tire, an arithmetic device that stores each internal perspective image data and unique information of the tire in association with each other, and specifies the target tire. In this case, a target image acquisition device that acquires the internal perspective image data of the target tire as target image data, and a part of the unique information of the target tire acquired from marks attached to the surface of the target tire. an input section for inputting input to the arithmetic device,
The calculation device includes a portion of the unique information of the target tire inputted to the calculation device, and the information of each tire that is linked to the internal perspective image data stored in the calculation device. an extraction step in which matching candidates are extracted from each of the internal perspective image data stored in the arithmetic unit based on the unique information;
a matching step of performing a matching process to calculate a degree of matching between the internal perspective image data of the extracted matching candidate and the target image data;
A specifying step is performed in which the internal perspective image data having the highest degree of matching with the target image data is selected, and the tire corresponding to the selected internal perspective image data is identified as the target tire. Tire management system.

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