Intelligent clothing measuring equipment

Abstract

The present invention proposes an intelligent clothing measurement device, which includes a height detection device, a 3D scanning device, an infrared camera device, a weight detection device and a control module. The intelligent clothing measurement device is cylindrical, the 3D scanning device is a ring structure, the height detection device is arranged on the top of the intelligent clothing measurement device, the weight detection device is arranged on the bottom of the intelligent clothing measurement device, and the inner wall of the intelligent clothing measurement device is symmetrically provided with moving tracks. The 3D scanning device and two infrared cameras are arranged on the moving tracks in sequence, and can move up and down along the moving tracks. The control module is arranged above the moving tracks. The present invention is based on a human body model obtained by accurate modeling in advance, and the final model is obtained through personalized adjustment, so as to achieve higher detection accuracy with less data volume and detection time.

Description

Technical Field

[0001] The present invention relates to the technical field of human body detection, in particular to an intelligent clothing measuring device. Background Art

[0002] When customizing clothing, it is necessary to measure the customer's chest circumference, waist circumference, hip circumference, back width, shoulder width and other body-related data in advance. There are two methods: contact manual measurement and non-contact automatic measurement. Contact manual measurement requires the measurer to measure the customer's body data with tools such as handheld tape measures and record it with tools such as paper and pen. It is time-consuming and labor-intensive, with a large workload, and is very dependent on the measurer's experience. In order to improve efficiency and measurement accuracy, human body measurement has gradually developed from contact manual measurement to non-contact automatic measurement. Some devices that can automatically scan and build human body models have appeared on the market, but due to the limitation of detection time, these devices can only detect the static data of customers in specific postures, and cannot detect the complete data of customers when exercising. In addition, if the customer makes an operational error during the detection process, detection errors are likely to occur, affecting the accuracy of the data. Summary of the invention

[0003] In order to solve the technical problems of limited non-contact human body measurement detection data and low accuracy in the prior art, the intelligent clothing measurement device proposed in the present invention includes a height detection device, a 3D scanning device, an infrared camera device, a weight detection device and a control module. The intelligent clothing measurement device is cylindrical, and the 3D scanning device is a ring structure;

[0004] The height detection device is arranged on the top of the intelligent clothing measurement device, the weight detection device is arranged on the bottom of the intelligent clothing measurement device, and movable tracks are symmetrically arranged on the inner wall of the intelligent clothing measurement device. The 3D scanning device and the two infrared camera devices are arranged on the movable tracks in sequence, and can move up and down along the movable tracks. The control module is arranged above the movable tracks.

[0005] Preferably, the height detection device includes a head detection sensor and a reference detection sensor, the head detection sensor is located at the center of the top of the intelligent clothing measurement device, facing the weight detection device, and the two reference detection sensors are located on both sides of the head detection sensor, facing the bottom of the intelligent clothing measurement device.

[0006] Preferably, the specific process of height detection is that the head detection sensor and the reference detection sensor perform distance detection respectively, and the data of the two reference detection sensors are averaged to obtain the internal height H of the intelligent clothing measurement device, and the distance D between the top of the intelligent clothing measurement device and the head is obtained according to the data of the head detection sensor, and the height S=HD-D1, where D1 represents the height of the weight detection device.

[0007] Preferably, the weight detection device is disc-shaped, disposed at the center of the bottom of the intelligent clothing measurement device, and has a built-in pressure sensor.

[0008] Preferably, the 3D scanning device is symmetrically provided with upper and lower movable ends at both ends, and the upper and lower movable ends are arranged in the movable track 5. The bottom of the 3D scanning device is provided with a horizontal movable groove, and a plurality of scanning units are arranged inside the horizontal movable groove, and the scanning units can move along the horizontal movable groove.

[0009] Preferably, the operation process of the intelligent clothing measurement device is as follows:

[0010] S1, the height detection device and the weight detection device obtain the height information and weight information of the user, and transmit the height information and weight information to the control module;

[0011] S2, the control module controls the infrared camera device to collect infrared images according to the height information to obtain an infrared image of the user;

[0012] S3, the control module obtains the closest basic human body model from the cloud server according to the infrared image, height information and weight information;

[0013] S4, the control module performs initial adjustment on the basic human body model according to the height information to obtain a first human body model;

[0014] S5, analyzing the difference between the infrared image and the first human body model, and determining a normal adjustment area and a key adjustment area;

[0015] S6. The 3D scanning device scans the user from top to bottom according to the normal adjustment area and the key adjustment area, and adjusts the first human body model again based on the scan data to obtain a second human body model.

[0016] Preferably, in S3, a human body model database is provided in the cloud server, and human body models of different age groups and different body shapes are stored in the human body model database. The human body models can present different postures according to requirements and are interactive.

[0017] Preferably, in S5, the specific process determined is to adjust the posture of the first human body model to make it the same as the posture of the user, capture a cross-sectional view with the same shooting angle as the infrared camera device, divide the cross-sectional view into multiple areas according to the scanning range of the 3D scanning device, compare the cross-sectional view with the infrared image in each area, and mark the area as a normal adjustment area or a key adjustment area according to the comparison result.

[0018] Preferably, in S5, image comparison is performed, and the specific process of calibrating the area based on the comparison result is to uniformly process the cross-sectional view and the infrared image into the same size, determine the contour curves of the cross-sectional view and the infrared image in a specific area, compare the coordinate difference of each feature pixel point in the contour curve, and calculate the root mean square error of all feature pixel points. If the root mean square error is less than the error threshold, the area is calibrated as a normal adjustment area; otherwise, the area is calibrated as a key adjustment area.

[0019] Preferably, in S6, the specific scanning process is: if the area is a normal adjustment area, the scanning units in the 3D scanning device are controlled to be evenly distributed, and a scanning data collection is performed; if the area is a key adjustment area, the scanning units in the 3D scanning device are controlled to be evenly distributed, and a scanning data collection is performed, and then the scanning units in the 3D scanning device are controlled to gather together to improve the detection accuracy, and slowly move along the horizontal moving groove to perform multiple scanning data collections until the user is surrounded.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] Based on the user's infrared image, height information and weight information, a basic human body model is selected from the human body model database. The basic human body model is adjusted twice according to the height information and the scanning data obtained by the 3D scanning device to obtain a second human body model. Based on the human body model obtained by precise modeling in advance, the final model is obtained through personalized adjustment, achieving higher detection accuracy with less data volume and detection time. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a structural schematic diagram of the intelligent clothing measuring device of the present invention;

[0023] Figure 2 is a schematic diagram of the bottom structure of the 3D scanning device of the present invention;

[0024] Figure 3 It is a structural schematic diagram of the scanning unit of the present invention.

[0025] Among them: 11. Head detection sensor; 12. Reference detection sensor; 2. 3D scanning device; 21. Horizontal moving slot; 22. Scanning unit; 221. Fixed end; 222. First rotating joint; 223. First supporting axis; 224. Second rotating joint; 225. Second supporting axis; 226. Scanning end; 23. Up and down moving end; 3. Infrared camera device; 4. Weight detection device; 5. Moving track; 6. Control module. DETAILED DESCRIPTION

[0026] The technical solution of the present invention is described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0027] like Figure 1 As shown, the intelligent clothing measurement device proposed in the present invention includes a height detection device, a 3D scanning device 2, an infrared camera device 3, a weight detection device 4 and a control module 6. The intelligent clothing measurement device is cylindrical, the height detection device is arranged on the top of the intelligent clothing measurement device, and the weight detection device 4 is arranged at the bottom of the intelligent clothing measurement device. The inner wall of the intelligent clothing measurement device is symmetrically provided with a moving track 5, the 3D scanning device 2 is a ring structure, and the 3D scanning device 2 and the two infrared cameras are arranged on the moving track 5 from top to bottom, and can move up and down along the moving track 5. The control module 6 is arranged above the moving track 5.

[0028] The height detection device includes a head detection sensor 11 and a reference detection sensor 12. Both the head detection sensor 11 and the reference detection sensor 12 are ultrasonic sensors. The head detection sensor 11 is located at the center of the top of the intelligent clothing measurement device, facing the weight detection device 4. The two reference detection sensors 12 are located on both sides of the head detection sensor 11, facing the bottom of the intelligent clothing measurement device. The specific process of height detection is that the head detection sensor and the reference detection sensor perform distance detection respectively, and the data of the two reference detection sensors are averaged to obtain the internal height H of the intelligent clothing measurement device. According to the data of the head detection sensor, the distance D between the top of the intelligent clothing measurement device and the head is obtained. The height S=HD-D1, where D1 represents the height of the weight detection device.

[0029] The infrared camera device 3 specifically uses the miniature dual-view airborne thermal imager FLIR DUO launched by Youwei Technology, which can freely switch between visible light and infrared, and uses proprietary MSX fusion technology to add key detail information captured by the visible light camera to the entire infrared image, greatly improving the image quality and contour clarity through fusion.

[0030] The weight detection device 4 is disc-shaped and is disposed at the central position of the bottom of the intelligent clothing measurement device. It has a built-in pressure sensor and detects weight based on the data of the pressure sensor.

[0031] like Figure 2 As shown, the symmetrical ends of the 3D scanning device 2 are provided with up-and-down moving ends 23, which are arranged in the moving track 5. The bottom of the 3D scanning device 2 is provided with a horizontal moving groove 21, and a plurality of scanning units 22 are arranged inside the horizontal moving groove 21. The scanning units 22 can move along the horizontal moving groove 21, and the distribution of the plurality of scanning units can be adjusted according to the detection requirements. Figure 3 As shown, the scanning unit 22 includes a fixed end 221, a first rotating joint 222, a first support shaft 223, a second rotating joint 224, a second support shaft 225 and a scanning end 226 connected in sequence. The fixed end 221 is arranged in the horizontal moving slot 21. The first rotating joint 222 and the second rotating joint 224 are both provided with micro motors and angle detectors, which can accurately control the rotation angle. The scanning unit 22 can realize multi-degree-of-freedom detection angle adjustment and provide more accurate detection data. The scanning end 226 adopts a millimeter wave radar array.

[0032] The control module 6 controls the automatic operation of the intelligent clothing measurement device based on the data of the height detection device, the 3D scanning device, the infrared camera device and the weight detection device. The operation process of the intelligent clothing measurement device is as follows:

[0033] S1. The height detection device and the weight detection device obtain the height information and weight information of the user, and transmit the height information and weight information to the control module.

[0034] S2. The control module controls the infrared camera device to collect infrared images according to the height information to obtain an infrared image of the user. The infrared image collection process is that the control module determines the middle position of the head, the middle position of the upper body and the middle position of the lower body according to the height information, so that the infrared camera device stops and shoots at the determined positions respectively, and the control module combines the images collected by the infrared camera device to form an infrared image of the user.

[0035] S3, the control module obtains the closest basic human body model from the cloud server according to the infrared image, height information and weight information. The cloud server is provided with a human body model database, which stores human body models of different age groups and different body shapes. The human body model can present different postures according to the needs and is interactive. The process of constructing the human body model is to perform accurate 3D scanning on the posture of the target under different actions, obtain 3D models under different postures, fuse multiple 3D models, and obtain an interactive human body model.

[0036] S4, the control module performs initial adjustment on the basic human body model according to the height information to obtain a first human body model. The initial adjustment process is to adjust the size of the basic human body model in proportion to the proportional relationship between the height information of the user and the height size of the basic human body model to obtain the first human body model.

[0037] S5. Analyze the difference between the infrared image and the first human body model, and determine the normal adjustment area and the key adjustment area. The specific process of determination is to adjust the posture of the first human body model to make it the same as the posture of the user, intercept a cross-sectional view with the same shooting angle as the infrared camera device, divide the cross-sectional view into multiple areas according to the scanning range of the 3D scanning device, compare the cross-sectional view with the infrared image in each area, and calibrate the area as the normal adjustment area or the key adjustment area according to the comparison result. Perform image comparison, and the specific process of calibrating the area based on the comparison result is to uniformly process the cross-sectional view and the infrared image into the same size, determine the contour curves of the cross-sectional view and the infrared image in a specific area, compare the coordinate difference of each characteristic pixel point in the contour curve, and calculate the root mean square error of all characteristic pixel points. If the root mean square error is less than the error threshold, the area is calibrated as the normal adjustment area, otherwise, the area is calibrated as the key adjustment area.

[0038] S6. The 3D scanning device scans the user from top to bottom according to the normal adjustment area and the key adjustment area, and adjusts the first human body model again based on the scanning data to obtain the second human body model. The specific scanning process is that if the area is the normal adjustment area, the scanning units in the 3D scanning device are controlled to be evenly distributed, and a scanning data collection is performed once. If the area is the key adjustment area, the scanning units in the 3D scanning device are first controlled to be evenly distributed, and a scanning data collection is performed once, and then the scanning units in the 3D scanning device are controlled to gather together to improve the detection accuracy, and slowly move along the horizontal moving groove to perform multiple scanning data collections until the user is surrounded. The second human body model is the final human body model, and the specific data of the user in different postures can be obtained according to the second human body model to improve the accuracy of clothing making and ensure the comfort of the user.

[0039] The above disclosure is only the preferred embodiment of the present invention, and certainly cannot be used to limit the scope of the present invention. It should be pointed out that for those skilled in the art, any equivalent changes made to the scheme of the present invention without departing from the design structure and principle of the present invention are considered to be within the protection scope of the present invention.

Claims

1. An intelligent clothing measurement device, characterized in that The intelligent clothing measuring device includes a height detection device, a 3D scanning device, an infrared camera device, a weight detection device and a control module. The intelligent clothing measuring device is cylindrical, and the 3D scanning device is a ring structure; The height detection device is arranged on the top of the intelligent clothing measurement device, the weight detection device is arranged on the bottom of the intelligent clothing measurement device, and a moving track is symmetrically arranged on the inner wall of the intelligent clothing measurement device. The 3D scanning device and the two infrared camera devices are arranged on the moving track in sequence, and can move up and down along the moving track. The control module is arranged above the moving track; The 3D scanning device is provided with up and down moving ends at symmetrical ends, and the up and down moving ends are arranged in the moving track. The bottom of the 3D scanning device is provided with a horizontal moving groove, and a plurality of scanning units are arranged inside the horizontal moving groove, and the scanning units can move along the horizontal moving groove; The operation process of the intelligent clothing measuring device is as follows: S1, the height detection device and the weight detection device obtain the height information and weight information of the user, and transmit the height information and weight information to the control module; S2, the control module controls the infrared camera device to collect infrared images according to the height information to obtain an infrared image of the user; S3, the control module obtains the closest basic human body model from the cloud server according to the infrared image, height information and weight information; S4, the control module performs initial adjustment on the basic human body model according to the height information to obtain a first human body model; S5, analyzing the difference between the infrared image and the first human body model, and determining a normal adjustment area and a key adjustment area; S6. The 3D scanning device scans the user from top to bottom according to the normal adjustment area and the key adjustment area, and adjusts the first human body model again based on the scan data to obtain a second human body model; In S6, the specific scanning process is as follows: if the area is a normal adjustment area, the scanning units in the 3D scanning device are controlled to be evenly distributed, and a scanning data collection is performed; if the area is a key adjustment area, the scanning units in the 3D scanning device are controlled to be evenly distributed, and a scanning data collection is performed, and then the scanning units in the 3D scanning device are controlled to gather together to improve the detection accuracy, and slowly move along the horizontal moving groove to perform multiple scanning data collections until the user is surrounded.

2. The intelligent clothing measuring device according to claim 1, characterized in that: The height detection device includes a head detection sensor and a reference detection sensor. The head detection sensor is located at the center of the top of the intelligent clothing measurement device, facing the weight detection device. The two reference detection sensors are located on both sides of the head detection sensor, facing the bottom of the intelligent clothing measurement device.

3. The intelligent clothing measuring device according to claim 2, characterized in that: The specific process of height detection is that the head detection sensor and the reference detection sensor perform distance detection respectively, and the data of the two reference detection sensors are averaged to obtain the internal height H of the intelligent clothing measurement device. The distance D between the top of the intelligent clothing measurement device and the head is obtained according to the data of the head detection sensor. The height S=HD-D1, where D1 represents the height of the weight detection device.

4. The intelligent clothing measuring device according to claim 1, characterized in that: The weight detection device is in the shape of a disc, is arranged at the central position of the bottom of the intelligent clothing measuring device, and has a built-in pressure sensor.

5. The intelligent clothing measurement device according to claim 1, characterized in that: In S3, a human body model database is provided in the cloud server, and human body models of different age groups and different body shapes are stored in the human body model database. The human body models can present different postures according to requirements and are interactive.

6. The intelligent clothing measurement device according to claim 1, characterized in that: In S5, the specific process determined is to adjust the posture of the first human body model to make it the same as the posture of the user, capture a cross-sectional view with the same shooting angle as the infrared camera device, divide the cross-sectional view into multiple areas according to the scanning range of the 3D scanning device, compare the cross-sectional view with the infrared image in each area, and mark the area as a normal adjustment area or a key adjustment area according to the comparison result.

7. The intelligent clothing measuring device according to claim 6, characterized in that: In S5, image comparison is performed, and the specific process of calibrating the area based on the comparison result is to uniformly process the cross-sectional view and the infrared image into the same size, determine the contour curves of the cross-sectional view and the infrared image in a specific area, compare the coordinate difference of each feature pixel point in the contour curve, and calculate the root mean square error of all feature pixel points. If the root mean square error is less than the error threshold, the area is calibrated as a normal adjustment area, otherwise, the area is calibrated as a key adjustment area.

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