CN210227088U

CN210227088U - Vamp detection device

Info

Publication number: CN210227088U
Application number: CN201821844234.4U
Authority: CN
Inventors: Chaozong Liao; 廖朝宗; Zhengyi Zhong; 钟正宜
Original assignee: Use Electronics Co ltd; Sincere Pioneer Enterprise Co ltd
Current assignee: Use Electronics Co ltd; Sincere Pioneer Enterprise Co ltd
Priority date: 2018-11-09
Filing date: 2018-11-09
Publication date: 2020-04-03
Anticipated expiration: 2028-11-09

Abstract

The utility model discloses a vamp detection device, which is used for detecting an object to be detected, the object to be detected comprises a shoe last and a vamp sleeved on the shoe last, the vamp detection device comprises an optical unit and a processing unit, the optical unit is used for identifying the object to be detected and outputting an optical signal; the processing unit is used for receiving the optical signal, constructing a three-dimensional model according to the optical signal, intercepting at least one section of the three-dimensional model along a sectioning line direction, obtaining at least one section data related to the section, comparing the section data with a preset standard data, and generating a detection result for judging whether the vamp is normal or abnormal; therefore, before the upper is formed, whether the positions of the upper and the shoe tree are normal or not can be judged correctly by constructing the three-dimensional model and intercepting the section of the three-dimensional model, and the quality of a finished product is improved.

Description

Vamp detection device

Technical Field

The utility model relates to a shoes field technique especially indicates a vamp detection device.

Background

Referring to fig. 1, the process of manufacturing the shoe sole 11 and the shoe upper 12 generally includes the following steps:

1. pulling, or climbing (Board lasting): sleeving the vamp 12 into a shoe tree 13 to shape the vamp 12;

2. lasting: bonding a midsole layer 111 to the upper 12;

3. sticking the outsole: a large bottom layer 112 is adhered to the upper 12 and the middle bottom layer 111, so that the sole 11 is combined with the upper 12.

The step of pulling the upper is mainly performed by a manual work or a machine tool (not shown), and since the position of the vamp 12 relative to the shoe tree 13 determines the shape of the finished product, which affects the comfort, no matter the upper is pulled by the manual work or the machine tool, the quality after pulling the upper needs to be judged by a master with rich experience, which consumes time and manpower, and the manpower is not easy to be developed, so that different judgment results are easy to be generated due to different experience values, and the quality control cannot be stable.

Therefore, a new technical solution is needed to solve the above problems.

SUMMERY OF THE UTILITY MODEL

In view of this, the present invention provides a vamp detection device, which can correctly and rapidly determine whether the positions of the vamp and the shoe tree are normal or not by constructing the three-dimensional model and intercepting at least one section of the three-dimensional model before the vamp is closed, thereby improving the quality of finished products.

In order to achieve the above purpose, the utility model adopts the following technical scheme:

a vamp detection device is suitable for being installed on a toe lasting machine and used for detecting an object to be detected, the object to be detected comprises a last and a vamp sleeved on the last, the vamp detection device comprises:

an optical unit for identifying the object to be tested and outputting at least one optical signal;

and the processing unit is used for receiving the optical signal, constructing a three-dimensional model according to the optical signal, intercepting at least one section of the three-dimensional model along a sectioning direction, obtaining at least one section data related to the at least one section, and comparing the at least one section data with preset standard data to generate a detection result for judging whether the vamp is normal or abnormal.

As a preferred scheme, the optical unit includes two image capturing modules spaced apart by a distance and located at two fixed points, each image capturing module is used for capturing an image of the object to be measured and outputting an optical signal of the image to the processing unit, the processing unit virtually counts cloud points on each image, and calculates the three-dimensional coordinates of each real point on the object to be measured by a triangulation method according to the triangular position relationship between the image capturing modules and the object to be measured and according to two cloud points corresponding to the same real point of the object to be measured in the images.

As a preferred scheme, the optical unit includes a light source module and an image capturing module, the light source module is used for generating structured light projected on the upper to form at least one light spot on the upper, the image capturing module is used for capturing an image including the at least one light spot and outputting the at least one optical signal of the image to the processing unit, and the processing unit calculates a three-dimensional coordinate information of the at least one light spot according to a deformation degree of the at least one light spot in the image and constructs the three-dimensional model according to the three-dimensional coordinate information of the at least one light spot.

Preferably, the light source module is a projector, and the at least one light spot is one of a grating and a light ray.

As a preferable scheme, the at least one section data is a centroid coordinate value of the at least one section, the standard data is a coordinate threshold, and the processing unit generates a detection result for determining the abnormality of the shoe upper when the centroid coordinate value does not meet the coordinate threshold.

As a preferred solution, the at least one section data is an inertia moment of the at least one section, the standard data is a judgment threshold, and the processing unit generates a detection result for judging the abnormality of the shoe upper when the inertia moment does not meet the judgment threshold.

Preferably, the at least one section data includes at least one slope of a straight line formed by any two points on a section contour of the at least one section, the standard data includes at least one slope threshold, and when the at least one slope does not meet the at least one slope threshold, a detection result for determining the shoe upper abnormality is generated.

Preferably, the at least one section data includes a section profile of the at least one section, the standard data includes a standard profile, and the processing unit generates a detection result for determining the abnormality of the shoe upper when the section profile is different from the standard profile.

As a preferable scheme, after the detection result determines that the shoe upper is abnormal, the processing unit further generates a warning message, wherein the warning message is one of sound, light and text.

Compared with the prior art, the utility model has obvious advantages and beneficial effects, particularly, can know by above-mentioned technical scheme, the utility model discloses can be before this vamp binds, through constructing this three-dimensional model, and intercept this three-dimensional model at least a sectional mode, can correctly judge whether the position of this vamp and this shoe tree is normal, therefore, unusual vamp can readjust the position, and need not scrap, not only can promote the finished product quality, and can reduce the quantity that the defective products produced, reduce this vamp spoilage by a wide margin; particularly, the above-mentioned method of judging by the section data of the section is different from the conventional method of judging by appearance, which not only is quick and accurate in judgment, but also can reduce the labor cost and achieve the purpose of quality control.

To illustrate the structural features and functions of the present invention more clearly, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments.

Drawings

FIG. 1 is a schematic view of a conventional process for joining a shoe sole and a shoe upper;

fig. 2 is a schematic view of the vamp detection device installed on the toe lasting machine according to the first embodiment of the present invention;

FIG. 3 is a schematic diagram illustrating a geometric relationship between two image capturing modules and one cloud point according to an embodiment of the present invention;

fig. 4 is a schematic diagram of an embodiment of the present invention, which implements a 3D modeling process and a vamp detection process through an application;

fig. 5 is a schematic flow chart illustrating steps of a 3D modeling procedure according to a first embodiment of the present invention;

fig. 6 is a schematic diagram of a three-dimensional model according to a first embodiment of the present invention;

fig. 7 is a schematic flow chart illustrating steps of a shoe upper detection process according to a first embodiment of the present invention;

FIG. 8 is a cross-sectional view and a standard profile view taken along line V-V of FIG. 6 according to one embodiment of the present invention;

FIG. 9 is a schematic diagram of a section data and a standard data according to an embodiment of the present invention;

fig. 10 is a schematic view of the vamp detection device of the second embodiment of the present invention installed on a toe lasting machine;

fig. 11 is a schematic view of an image captured by an image capturing module according to a second embodiment of the present invention;

fig. 12 is a flow chart illustrating steps of executing a 3D modeling process by an application according to an embodiment of the present invention.

The attached drawings indicate the following:

11. sole 111, midsole

112. Big bottom layer 12, vamp

13. Shoe tree 2, front upper machine

21. Clamping jaw device 22 and warning device

221. Warning light 222 and alarm

223. Display 3, object to be measured

3', three-dimensional model 30, section

301. Section profile 31, last

32. Shoe upper 4, optical unit

41. Image capture module 42 and light source module

43. Light source module 431 and structured light

44. Image acquisition module 5 and processing unit

6. 3D modeling programs 601-606, and step flow

611 to 615, step flow 7 and vamp detection program

701-704, process 91, image

92. Image P, cloud point, light spot

P', projection point O, optical signal

D. Section data C, core

C (x, y, z), coordinate value I, moment of inertia

M, slope T, Standard data

C '(x, y, z), coordinate threshold I', judgment threshold

M ', slope threshold 301', standard profile

W, warning message X, axis

Z, axis A, point

B. Dot

A straight line.

Detailed Description

Fig. 2 to 12 show two specific structures of two embodiments of the present invention.

Referring to fig. 2 and 3, the vamp detection device of the present invention is suitable for being installed on a toe lasting machine 2 for detecting an object 3 to be detected. The object 3 includes a last 31 and a vamp 32 covering the last 31. The toe lasting machine 2 comprises a clamping jaw device 21 for positioning the vamp 32 and a warning device 22. The warning device 22 includes a warning light 221, an alarm 222, and a display 223. The vamp detection device comprises an optical unit 4 and a processing unit 5.

The optical unit 4 includes two image capturing modules 41 spaced apart from each other along an axis X and located at two fixed positions. Each image capturing module 41 is spaced apart from the object 3 along an axis Z, and is configured to capture an image 91 of the object 3 and output an optical signal O of the image 91.

Referring to fig. 2,3 and 4, the processing unit 5 is connected to the image capturing modules 41 and the warning device 22 through a wired or wireless communication technology, and executes a 3D modeling program 6 and a vamp detection program 7 through an application program.

The 3D modeling program 6 includes the steps of:

step 601: referring to fig. 2,3, 5 and 6, the object 3 to be measured is defined to have a plurality of cloud points P, and each cloud point P corresponds to a real point on the object 3 to be measured.

Step 602: controlling each image capturing module 41 to capture an image 91 of the object 3.

Step 603: the images 91 are obtained by receiving the optical signals O transmitted from each image capturing module 41.

Step 604: two projected points P' corresponding to each cloud point P are obtained from the images 91.

Step 605: according to the parallax of the projection points P' and the triangular position relationship with the corresponding cloud point P, the three-dimensional coordinate P (x, y, z) of each cloud point P on the object 3 is calculated by triangulation.

Step 606: the three-dimensional model 3' is constructed according to the three-dimensional coordinates P (x, y, z) of the cloud points P.

It should be noted that the foregoing principles of calculating the three-dimensional coordinates P (x, y, z) of each cloud point P and constructing the three-dimensional model 3' can be applied to the 3D sensing technology of stereoscopic vision, which is a technology already in commercial use and is not described in detail.

Referring to fig. 2 and 3, the shoe upper detection program 7 includes the following steps:

step 701: referring to fig. 6, 7, 8 and 9, more than one section 30 of the three-dimensional model 3' in the plane of the axis X-axis Z is taken along a sectional line L.

Step 702: a cross-sectional data D relating to the cross-section 30 is obtained. The cross-section data D can be the coordinate value C (x, y, z) of a centroid C of the cross-section 30, an inertia moment I of the cross-section 30, a cross-section profile 301 of the cross-section 30, or a straight line formed by any two points A, B on at least one of the cross-section profiles 301

The slope M of (a).

In the first embodiment, it is a straight line with a unit length

On the basis of this, several straight lines are obtained from a starting point of the cross-sectional profile 301 following the cross-sectional profile 301

Then, each straight line is obtained

Coordinate values (x, z) of front and rear points A, B, and calculating each straight line

The slope M of (a).

Step 703: comparing the section data D with a preset standard data T, determining whether the section data D meets the standard data T, if yes, performing step 704, and if no, performing step 705.

The coordinate value C (x, y, z) of the standard data T in conjunction with the centroid C may be a coordinate threshold C '(x, y, z), or the moment of inertia I may be a judgment threshold I', or the slope M may be more than one slope threshold M ', or the profile 301 may be a standard profile 301'.

It should be noted that each item of the standard data T is created by a three-dimensional model 3' of a standard shoe upper 32 and a shoe tree 31.

Step 703: generating a detection result for judging the vamp 32 to be normal, and allowing the front upper machine 2 to continue the processes of gluing, forming upper and the like.

Step 704: a detection result for determining the abnormality of the shoe upper 32 is generated, and a warning message W is generated for controlling the warning lamp 221 to generate light, controlling the alarm 222 to generate sound, or controlling the display 223 to generate text, so as to remind the operator to eliminate the abnormal shoe upper 32.

Taking the coordinate threshold C '(x, y, z) ≦ C' (21 ≦ x ≦ 22,11 ≦ y ≦ 12,31 ≦ z ≦ 32) as an example, when the centroid coordinate value C (20,20,30) of the cross section 30 is obtained, it is determined that the cross section data D matches the standard data T, and a detection result for determining that the shoe upper 32 is normal is generated, and when the centroid coordinate value C (23,19,30) is obtained, it is determined that the cross section data D does not match the standard data T, and a detection result for determining that the shoe upper 32 is abnormal is generated.

Taking the determination threshold I' between 50-55 as an example, when the moment of inertia I of the cross section 30 is obtained as 53, the cross section data D is determined to be in accordance with the standard data T, and a detection result for determining that the shoe upper 32 is normal is generated, and when the moment of inertia I is obtained as 56, the cross section data D is determined to be not in accordance with the standard data T, and a detection result for determining that the shoe upper 32 is abnormal is generated.

Taking the example where a slope threshold M 'is 3 ≦ M' ≦ 4, when the corresponding straight line is obtained

When the slope M is 3, the section data D is judged to be in accordance with the standard data T, and a detection result for judging the vamp 32 to be normal is generated, and when a corresponding straight line is obtained

When the slope M is 5, it is determined that the section data D does not conform to the standard data T, and a detection result for determining that the shoe upper 32 is abnormal is generated.

In addition, taking the standard data T as the standard outline 301 ', the processing unit 4 compares the cross-sectional outline 301 with the standard outline 301' by an outline comparison method, determines that the cross-sectional data D conforms to the standard data T when the cross-sectional outline 301 is the same as the standard outline 301 ', and generates a detection result for determining that the shoe upper 32 is normal, and determines that the cross-sectional data D does not conform to the standard data T when the cross-sectional outline 301 is different from the standard outline 301', and generates a detection result for determining that the shoe upper 32 is abnormal.

It should be noted that, during comparison, not only one section data D is compared, but also in other variations of the first embodiment, any two or more section data D of the centroid coordinate value C (x, y, z), the moment of inertia I, the slope M, and the section profile 301 may be compared, and a detection result for determining the abnormality of the shoe upper 32 is generated as long as one section data D does not match, thereby improving the accuracy in detection. Additional details will not be set forth in order to provide those skilled in the art with a understanding of the above description.

The procedure for removing the abnormal shoe upper 32 can be to readjust the relative position of the shoe upper 32 and the shoe tree 31 by the clamping jaw device 21, or to remove the object 3 to be tested.

Referring to fig. 10, 11 and 12, a second embodiment of the present invention is substantially the same as the first embodiment, and also includes the optical unit 4 and the processing unit 5. The difference lies in that:

the optical unit 4 includes a light source module 43 and an image capturing module 44 at two fixed positions spaced apart from each other along the axis X. The light source module 43 is used for generating a plurality of structured lights 431 projected on the vamp 32, so that a light spot P is formed on the vamp 32. In the second embodiment, the light source module 43 is a projector (DLP), the structured light 431 is a projection light, and the light spot P is a grating covering the whole object to be measured. The image capturing module 44 is used for capturing an image 92 of the object 3 to be tested including the cloud points P, and outputting an optical signal O of the image 92.

It should be noted that the light spot P is not limited to be a grating, but may be a light beam for sequentially scanning the object 3 in other variations of the second embodiment, and the light source module 43 is not limited to be a projector, but may also be a laser emitter for generating laser light in other variations of the second embodiment.

Referring to fig. 10 and 4, the processing unit 5 also executes the 3D modeling program 6 and the upper detection program 7 through the application program.

Wherein the 3D modeling program 6 comprises the steps of:

step 611: referring to fig. 10, 11 and 12, the light source module 43 is controlled to generate the structured light 431 projected on the shoe upper 32, so that the object 3 to be measured forms a grating-type light spot P.

Step 612: controls the image capturing module 44 to capture an image 92 including the light spot P.

Step 613: the image 92 is obtained by receiving the optical signal O transmitted from the image capturing module 44.

Step 614: according to the deformation degree of the light spot P in the image 92 and the positional relationship among the light source module 43, the image capturing module 44 and the object 3, a three-dimensional coordinate information of the light spot P is calculated.

Step 615: based on the three-dimensional coordinate information of the spot P, the three-dimensional model 3' shown in FIG. 6 is constructed.

It should be noted that the principle of constructing the three-dimensional model 3' (as shown in fig. 6) can be referred to the 3D sensing technology of structured light, which is a technology already in commercial application and is not described in more detail.

Accordingly, as shown in fig. 4 and 5, the shoe upper detection program 7 can generate a detection result for determining whether the shoe upper 32 (see fig. 10) is abnormal or normal. Additional details will not be set forth in order to provide those skilled in the art with a understanding of the above description.

To sum up, the utility model discloses the design main points lie in: the utility model discloses can be before this vamp binds, through constructing this three-dimensional model, and intercept this three-dimensional model at least a section mode, can judge correctly whether the position of this vamp and this shoe tree is normal, borrow this, unusual vamp can readjust the position, and need not scrap, not only can promote the finished product quality, and can reduce the quantity that the defective products produced, reduce this vamp loss rate by a wide margin; particularly, the above-mentioned method of judging by the section data of the section is different from the conventional method of judging by appearance, which not only is quick and accurate in judgment, but also can reduce the labor cost and achieve the purpose of quality control.

The above description is only a preferred embodiment of the present invention, and is not intended to limit the technical scope of the present invention, so that any slight modifications, equivalent changes and modifications made by the technical spirit of the present invention to the above embodiments are all within the scope of the technical solution of the present invention.

Claims

1. A vamp detection device is suitable for being installed on a front upper machine and used for detecting an object to be detected before the upper is formed, and is characterized in that: the object to be detected comprises a shoe last and a shoe upper sleeved on the shoe last, and the shoe upper detection device comprises:

a processing unit connected to the optical unit for receiving the optical signal; the processing unit constructs a three-dimensional model according to the optical signal, intercepts at least one section of the three-dimensional model along a sectioning direction, obtains at least one section data related to the at least one section, compares the at least one section data with a preset standard data, and generates a detection result for judging whether the vamp is normal or abnormal;

and the processing unit is connected with a warning device for displaying the abnormal detection result.

2. A shoe upper detection device according to claim 1, wherein: the optical unit comprises two image capturing modules which are separated by a distance and located at two fixed points, each image capturing module is used for capturing an image of the object to be detected and outputting an optical signal of the image to the processing unit, the processing unit virtually counts cloud points on each image, and three-dimensional coordinates of each real point on the object to be detected are calculated by a triangulation method according to the triangular position relation between the image capturing modules and the object to be detected and two cloud points corresponding to the same real point of the object to be detected in the images.

3. A shoe upper detection device according to claim 1, wherein: the optical unit comprises a light source module and an image capturing module, wherein the light source module is arranged at two fixed points at intervals and used for generating structured light projected on the vamp to form at least one light spot on the vamp, the image capturing module is used for capturing an image comprising the at least one light spot and outputting at least one optical signal of the image to the processing unit, and the processing unit calculates a three-dimensional coordinate message of the at least one light spot according to the deformation degree of the at least one light spot in the image and constructs the three-dimensional model according to the three-dimensional coordinate message of the at least one light spot.

4. A shoe upper detection device according to claim 3, wherein: the light source module is a projector, and the at least one light spot is one of a grating and a light ray.

5. A shoe upper detection device according to claim 1, wherein: the processing unit generates a detection result for judging the abnormity of the shoe upper when the centroid coordinate value does not accord with the coordinate threshold value.

6. A shoe upper detection device according to claim 1, wherein: the processing unit generates a detection result for judging the abnormity of the vamp when the inertia moment does not accord with the judgment threshold value.

7. A shoe upper detection device according to claim 1, wherein: the standard data comprises at least one slope threshold value, and when the at least one slope does not accord with the at least one slope judgment threshold value, a detection result for judging the vamp abnormity is generated.

8. A shoe upper detection device according to claim 1, wherein: the processing unit generates a detection result for judging the abnormity of the shoe upper when the section profile is different from the standard profile.

9. A shoe upper detection device according to claim 1, wherein: the processing unit further generates a warning message after the detection result judges that the vamp is abnormal, wherein the warning message is one of sound, light and characters and is displayed by the warning device.