Real-time height limiting system and method using tension detection

Abstract

The present application relates to a kind of real-time height limiting system using tension detection, comprising: tension detection mechanism, set in the spring structure of trampoline project one side, for detecting the current tension of spring structure;Data conversion mechanism is used to when the current tension of spring structure is greater than or equal to preset tension limit, first wireless signal is sent;Numerical analysis equipment is used to the following analysis actions are performed to the detection picture block: the pixel row of the largest number value that the detection picture block occupies is obtained as representative number value output;Boundary judgment equipment is used to when the received representative number value is greater than or equal to preset value threshold, jump too high command is sent.The present application also relates to a kind of real-time height limiting method using tension detection.Through the present application, whether the jumping height of the trampoline personnel of non-professional trampoline place reaches safety boundary can be carried out high-precision identification operation based on pixel level, so as to improve the intelligent level of project management.

Description

Technical Field

[0001] This invention relates to the field of tension detection, and more particularly to a real-time height restriction system and method utilizing tension detection. Background Technology

[0002] Tension, a term in physics. When an object is subjected to a pulling force, the mutual attraction force existing within it and perpendicular to the contact surface of two adjacent parts.

[0003] Tension is the force exerted by a stretched flexible object such as a string or rope on other objects that stretch it, or the force between different parts within a stretched flexible object. When subjected to tension, it is the mutual pulling force existing on both sides of any cross-section within an object. Crustal movement generates pressure and tension; pressure is commonly seen in converging plates, while tension is commonly seen in diverging plates, such as seafloor spreading, the Red Sea Rift Valley, and the East African Rift Valley. In crustal movement, pressure and tension are complementary.

[0004] Currently, in trampoline parks outside of sports venues, participants are often ordinary recreational individuals who find it difficult to grasp the safety boundaries of the trampoline. For example, if someone jumps too high during a trampoline activity, it becomes difficult to control their landing position, potentially causing them to land on the outer edge of the trampoline and resulting in injury. Furthermore, the landing posture is difficult to control, which can easily lead to tissue contusions. Summary of the Invention

[0005] To address the technical problems in the prior art, this invention provides a real-time height restriction system and method using tension detection, which can perform pixel-level high-precision identification of whether the jumping height of trampoline participants in non-professional trampoline venues reaches the safety limit, thereby improving the safety performance of trampoline projects.

[0006] Compared with the prior art, the present invention has the following outstanding substantive features:

[0007] (1) A targeted intelligent identification mechanism is used to detect and analyze the jumping height of people engaged in trampoline projects, so as to execute the corresponding alarm operation when the detected height exceeds the allowable limit;

[0008] (2) In a specific targeted intelligent recognition mechanism, the pixel row with the largest number value in the person imaging area with the largest area is used as the representative number value, and when the representative number value is greater than or equal to the preset value threshold, a jump-to-high command is issued.

[0009] According to one aspect of the present invention, a real-time height limiting system utilizing tension detection is provided, the system comprising:

[0010] A tension detection mechanism is installed on one side of the spring structure in non-professional trampoline projects and connected to the spring structure to detect the current tension of the spring structure.

[0011] A data conversion mechanism, connected to the tension detection mechanism, is used to emit a first wireless signal when the current tension of the spring structure is greater than or equal to a preset tension limit;

[0012] An eagle-eye recording mechanism is installed on the side of the trampoline project and connected to the data conversion mechanism. It is used to perform a side recording operation on the trampoline project when the first wireless signal is received, so as to obtain the corresponding side recording frame.

[0013] A signal correction device, connected to the eagle-eye recording and shooting mechanism, is used to perform geometric correction processing on the received side recording and shooting frames in order to obtain the corresponding on-site correction image;

[0014] A customized conversion device, connected to the signal correction device, is used to perform Wiener filtering on the received phenomenon correction screen to obtain the corresponding customized conversion screen;

[0015] An object recognition mechanism, connected to the customized conversion device, is used to identify the imaging image block of each human object in the customized conversion image by applying human imaging features;

[0016] The content filtering mechanism is connected to the object recognition mechanism and is used to output the image blocks in the customized conversion image whose depth of field value is lower than the preset depth of field limit and whose area exceeds the limit as the image blocks to be detected.

[0017] A numerical analysis device, connected to the content filtering mechanism, is used to perform the following analysis operation on the image block to be detected: obtain the pixel row with the largest number value occupied by the image block to be detected as the representative number value output.

[0018] The boundary judgment device is connected to the numerical analysis device and is used to issue a jump-to-high command when the received representative number value is greater than or equal to a preset numerical threshold.

[0019] The step of obtaining the pixel row with the largest number value occupied by the image block to be detected as the representative number value output includes: setting the number value of the pixel row at the lowest position in the image to be detected to zero.

[0020] The step of obtaining the pixel row with the largest number value occupied by the image block to be detected as the representative number value output also includes: in the image to be detected, the number value of the pixel row is incremented by 1 sequentially from the lowest pixel row to the highest pixel row.

[0021] According to another aspect of the present invention, a real-time height limiting method utilizing tension detection is also provided, the method comprising:

[0022] A tension detection mechanism is used, which is installed on one side of the spring structure in non-professional trampoline projects and connected to the spring structure, to detect the current tension of the spring structure;

[0023] A data conversion mechanism is used, connected to the tension detection mechanism, to emit a first wireless signal when the current tension of the spring structure is greater than or equal to a preset tension limit;

[0024] An eagle-eye recording mechanism is used, which is set on the side of the trampoline project and connected to the data conversion mechanism. When the first wireless signal is received, it is used to perform a side recording operation on the trampoline project to obtain the corresponding side recording frame.

[0025] A signal correction device is used, connected to the eagle-eye recording mechanism, to perform geometric correction processing on the received side recording frames in order to obtain the corresponding on-site correction image.

[0026] A customized conversion device is used, connected to the signal correction device, to perform Wiener filtering on the received phenomenon correction screen to obtain the corresponding customized conversion screen;

[0027] An object recognition mechanism is used, connected to the customized conversion device, to identify the imaging image block of each human object in the customized conversion image by applying human imaging features;

[0028] A content filtering mechanism is used, connected to the object recognition mechanism, to output the image blocks in the customized conversion image whose depth of field value is lower than the preset depth of field limit and whose area occupies the limit as the image blocks to be detected.

[0029] A numerical analysis device is used, connected to the content filtering mechanism, to perform the following analysis action on the image block to be detected: obtain the pixel row with the largest number value occupied by the image block to be detected as the representative number value output.

[0030] An out-of-bounds detection device is connected to the numerical analysis device to issue a jump-to-high command when the received representative number value is greater than or equal to a preset numerical threshold.

[0031] The step of obtaining the pixel row with the largest number value occupied by the image block to be detected as the representative number value output includes: setting the number value of the pixel row at the lowest position in the image to be detected to zero.

[0032] The step of obtaining the pixel row with the largest number value occupied by the image block to be detected as the representative number value output also includes: in the image to be detected, the number value of the pixel row is incremented by 1 sequentially from the lowest pixel row to the highest pixel row. Attached Figure Description

[0033] The embodiments of the present invention will now be described with reference to the accompanying drawings, wherein:

[0034] Figure 1 This is a schematic diagram of the internal structure of the eagle-eye recording mechanism used in the real-time height restriction system and method utilizing tension detection according to an embodiment of the present invention. Detailed Implementation

[0035] The implementation scheme of the real-time height limiting method using tension detection of the present invention will now be described in detail with reference to the accompanying drawings.

[0036] Trampoline is a competitive sport in which athletes use the bounce of a trampoline to perform acrobatic skills in the air. It is a type of gymnastics and is known as "aerial ballet".

[0037] A standard trampoline frame is made of metal, measuring 5.05 meters long, 2.91 meters wide, and 1.15 meters high. The net is 4.26 meters long and 2.13 meters wide, and it contains 112 springs. The trampoline surface is made of nylon or another similar material, and is only 6 millimeters thick.

[0038] There is a large, thick mat on each side of the trampoline to prepare the athletes for landing. A jumping area, marked with a red line, is located within the net and measures 2 meters by 1 meter. The height of the competition hall must be at least 8 meters. The floor along the longitudinal sides of the trampoline is covered with standard protective mats, and safety platforms with landing mats must be used at both lateral ends.

[0039] Currently, in trampoline parks outside of sports venues, participants are often ordinary recreational individuals who find it difficult to grasp the safety boundaries of the trampoline. For example, if someone jumps too high during a trampoline activity, it becomes difficult to control their landing position, potentially causing them to land on the outer edge of the trampoline and resulting in injury. Furthermore, the landing posture is difficult to control, which can easily lead to tissue contusions.

[0040] To overcome the above shortcomings, this invention provides a real-time height restriction system and method utilizing tension detection, which can effectively solve the corresponding technical problems.

[0041] The real-time height limiting system utilizing tension detection, as shown in the embodiments of the present invention, includes:

[0042] A tension detection mechanism is installed on one side of the spring structure in non-professional trampoline projects and connected to the spring structure to detect the current tension of the spring structure.

[0043] A data conversion mechanism, connected to the tension detection mechanism, is used to emit a first wireless signal when the current tension of the spring structure is greater than or equal to a preset tension limit;

[0044] The internal structure of the Eagle Eye recording and filming mechanism is as follows: Figure 1 As shown, it is set on the side of the trampoline project and connected to the data conversion mechanism. When the first wireless signal is received, it performs a side recording operation on the trampoline project to obtain the corresponding side recording frame.

[0045] A signal correction device, connected to the eagle-eye recording and shooting mechanism, is used to perform geometric correction processing on the received side recording and shooting frames in order to obtain the corresponding on-site correction image;

[0046] A customized conversion device, connected to the signal correction device, is used to perform Wiener filtering on the received phenomenon correction screen to obtain the corresponding customized conversion screen;

[0047] An object recognition mechanism, connected to the customized conversion device, is used to identify the imaging image block of each human object in the customized conversion image by applying human imaging features;

[0048] The content filtering mechanism is connected to the object recognition mechanism and is used to output the image blocks in the customized conversion image whose depth of field value is lower than the preset depth of field limit and whose area exceeds the limit as the image blocks to be detected.

[0049] A numerical analysis device, connected to the content filtering mechanism, is used to perform the following analysis operation on the image block to be detected: obtain the pixel row with the largest number value occupied by the image block to be detected as the representative number value output.

[0050] The boundary judgment device is connected to the numerical analysis device and is used to issue a jump-to-high command when the received representative number value is greater than or equal to a preset numerical threshold.

[0051] The step of obtaining the pixel row with the largest number value occupied by the image block to be detected as the representative number value output includes: setting the number value of the pixel row at the lowest position in the image to be detected to zero.

[0052] The step of obtaining the pixel row with the largest number value occupied by the image block to be detected as the representative number value output also includes: in the image to be detected, the number value of the pixel row is incremented by 1 sequentially from the lowest pixel row to the highest pixel row.

[0053] Next, the specific structure of the real-time height limiting system utilizing tension detection of the present invention will be further described.

[0054] In the real-time height restriction system utilizing tension detection:

[0055] The boundary judgment device is also used to issue a jump normal command when the received representative number value is less than the preset value threshold.

[0056] The process of identifying each human body object's image segment in the customized conversion image using human body imaging features includes: identifying each human body object's image segment in the customized conversion image based on the brightness value distribution range of pixels in the human body imaging region.

[0057] In the real-time height restriction system utilizing tension detection:

[0058] The signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device are all located in an instrument box near the trampoline project;

[0059] The signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device share the same quartz oscillation device and the same timing service device.

[0060] The quartz oscillation device is connected to the signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device, respectively, and the timing service device is connected to the signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device, respectively.

[0061] In the real-time height restriction system utilizing tension detection:

[0062] The data conversion mechanism is also used to emit a second wireless signal when the current tension of the spring structure is less than the preset tension limit.

[0063] In the real-time height restriction system utilizing tension detection:

[0064] The Eagle Eye recording mechanism is also used to terminate the side recording operation of the trampoline project when the second wireless signal is received.

[0065] The real-time height limiting method utilizing tension detection, as shown in the embodiments of the present invention, includes:

[0066] A tension detection mechanism is used, which is installed on one side of the spring structure in non-professional trampoline projects and connected to the spring structure, to detect the current tension of the spring structure;

[0067] A data conversion mechanism is used, connected to the tension detection mechanism, to emit a first wireless signal when the current tension of the spring structure is greater than or equal to a preset tension limit;

[0068] Using the Eagle Eye recording mechanism, the internal structure is as follows: Figure 1 As shown, it is set on the side of the trampoline project and connected to the data conversion mechanism. When the first wireless signal is received, it performs a side recording operation on the trampoline project to obtain the corresponding side recording frame.

[0069] A signal correction device is used, connected to the eagle-eye recording mechanism, to perform geometric correction processing on the received side recording frames in order to obtain the corresponding on-site correction image.

[0070] A customized conversion device is used, connected to the signal correction device, to perform Wiener filtering on the received phenomenon correction screen to obtain the corresponding customized conversion screen;

[0071] An object recognition mechanism is used, connected to the customized conversion device, to identify the imaging image block of each human object in the customized conversion image by applying human imaging features;

[0072] A content filtering mechanism is used, connected to the object recognition mechanism, to output the image blocks in the customized conversion image whose depth of field value is lower than the preset depth of field limit and whose area occupies the limit as the image blocks to be detected.

[0073] A numerical analysis device is used, connected to the content filtering mechanism, to perform the following analysis action on the image block to be detected: obtain the pixel row with the largest number value occupied by the image block to be detected as the representative number value output.

[0074] An out-of-bounds detection device is connected to the numerical analysis device to issue a jump-to-high command when the received representative number value is greater than or equal to a preset numerical threshold.

[0075] The step of obtaining the pixel row with the largest number value occupied by the image block to be detected as the representative number value output includes: setting the number value of the pixel row at the lowest position in the image to be detected to zero.

[0076] The step of obtaining the pixel row with the largest number value occupied by the image block to be detected as the representative number value output also includes: in the image to be detected, the number value of the pixel row is incremented by 1 sequentially from the lowest pixel row to the highest pixel row.

[0077] Next, the specific steps of the real-time height limiting method utilizing tension detection of the present invention will be further explained.

[0078] In the real-time height limiting method utilizing tension detection:

[0079] The boundary judgment device is also used to issue a jump normal command when the received representative number value is less than the preset value threshold.

[0080] The process of identifying each human body object's image segment in the customized conversion image using human body imaging features includes: identifying each human body object's image segment in the customized conversion image based on the brightness value distribution range of pixels in the human body imaging region.

[0081] In the real-time height limiting method utilizing tension detection:

[0082] The signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device are all located in an instrument box near the trampoline project;

[0083] The signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device share the same quartz oscillation device and the same timing service device.

[0084] The quartz oscillation device is connected to the signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device, respectively, and the timing service device is connected to the signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device, respectively.

[0085] In the real-time height limiting method utilizing tension detection:

[0086] The data conversion mechanism is also used to emit a second wireless signal when the current tension of the spring structure is less than the preset tension limit.

[0087] In the real-time height limiting method utilizing tension detection:

[0088] The Eagle Eye recording mechanism is also used to terminate the side recording operation of the trampoline project when the second wireless signal is received.

[0089] In addition, in the real-time height limiting system and method utilizing tension detection, a quartz oscillation mechanism can also be used to connect to the signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device, respectively. The quartz oscillation mechanism is used to provide the signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device with their respective required clock pulse signals.

[0090] The real-time height restriction system and method utilizing tension detection of this invention addresses the technical problem in existing technologies where trampoline personnel in non-professional trampoline venues are prone to various safety accidents due to excessive jumping height. By performing pixel-level high-precision identification of whether the jumping height of trampoline personnel in non-professional trampoline venues reaches the safety limit, the system improves the intelligence level and safety grade of project management.

[0091] Those skilled in the art will understand that further modifications can be made within the scope of the invention, which is defined by the appended claims.

Claims

1. A real-time height restriction system utilizing tension detection, characterized by, The system includes: A tension detection mechanism is installed on one side of the spring structure in non-professional trampoline projects and connected to the spring structure to detect the current tension of the spring structure. A data conversion mechanism, connected to the tension detection mechanism, is used to emit a first wireless signal when the current tension of the spring structure is greater than or equal to a preset tension limit; An eagle-eye recording mechanism is installed on the side of the trampoline project and connected to the data conversion mechanism. It is used to perform a side recording operation on the trampoline project when the first wireless signal is received, so as to obtain the corresponding side recording frame. A signal correction device, connected to the eagle-eye recording and shooting mechanism, is used to perform geometric correction processing on the received side recording and shooting frames in order to obtain the corresponding on-site correction image; A customized conversion device, connected to the signal correction device, is used to perform Wiener filtering on the received phenomenon correction screen to obtain the corresponding customized conversion screen; An object recognition mechanism, connected to the customized conversion device, is used to identify the imaging image block of each human object in the customized conversion image by applying human imaging features; The content filtering mechanism is connected to the object recognition mechanism and is used to output the image blocks in the customized conversion image whose depth of field value is lower than the preset depth of field limit and whose area exceeds the limit as the image blocks to be detected. A numerical analysis device, connected to the content filtering mechanism, is used to perform the following analysis operation on the image block to be detected: obtain the pixel row with the largest number value occupied by the image block to be detected as the representative number value output. The boundary judgment device is connected to the numerical analysis device and is used to issue a jump-to-high command when the received representative number value is greater than or equal to a preset numerical threshold. The step of obtaining the pixel row with the largest number value occupied by the image block to be detected as the representative number value output includes: setting the number value of the pixel row at the lowest position in the image to be detected to zero. The step of obtaining the pixel row with the largest number value occupied by the image block to be detected as the representative number value output also includes: in the image to be detected, the number value of the pixel row is incremented by 1 sequentially from the lowest pixel row to the highest pixel row.

2. The real-time height limiting system utilizing tension detection as described in claim 1, characterized in that: The boundary judgment device is also used to issue a jump normal command when the received representative number value is less than the preset value threshold. The process of identifying each human body object's image segment in the customized conversion image using human body imaging features includes: identifying each human body object's image segment in the customized conversion image based on the brightness value distribution range of pixels in the human body imaging region.

3. The real-time height limiting system utilizing tension detection as described in claim 1, characterized in that: The signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device are all located in an instrument box near the trampoline project; The signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device share the same quartz oscillation device and the same timing service device. The quartz oscillation device is connected to the signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device, respectively, and the timing service device is connected to the signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device, respectively.

4. The real-time height limiting system utilizing tension detection as described in claim 1, characterized in that: The data conversion mechanism is also used to emit a second wireless signal when the current tension of the spring structure is less than the preset tension limit.

5. The real-time height limiting system utilizing tension detection as described in claim 4, characterized in that: The Eagle Eye recording mechanism is also used to terminate the side recording operation of the trampoline project when the second wireless signal is received.

6. A real-time height restriction method using tension detection, characterized by, The method includes: A tension detection mechanism is used, which is installed on one side of the spring structure in non-professional trampoline projects and connected to the spring structure, to detect the current tension of the spring structure; A data conversion mechanism is used, connected to the tension detection mechanism, to emit a first wireless signal when the current tension of the spring structure is greater than or equal to a preset tension limit; An eagle-eye recording mechanism is used, which is set on the side of the trampoline project and connected to the data conversion mechanism. When the first wireless signal is received, it is used to perform a side recording operation on the trampoline project to obtain the corresponding side recording frame. A signal correction device is used, connected to the eagle-eye recording mechanism, to perform geometric correction processing on the received side recording frames in order to obtain the corresponding on-site correction image. A customized conversion device is used, connected to the signal correction device, to perform Wiener filtering on the received phenomenon correction screen to obtain the corresponding customized conversion screen; An object recognition mechanism is used, connected to the customized conversion device, to identify the imaging image block of each human object in the customized conversion image by applying human imaging features; A content filtering mechanism is used, connected to the object recognition mechanism, to output the image blocks in the customized conversion image whose depth of field value is lower than the preset depth of field limit and whose area occupies the limit as the image blocks to be detected. A numerical analysis device is used, connected to the content filtering mechanism, to perform the following analysis action on the image block to be detected: obtain the pixel row with the largest number value occupied by the image block to be detected as the representative number value output. An out-of-bounds detection device is connected to the numerical analysis device to issue a jump-to-high command when the received representative number value is greater than or equal to a preset numerical threshold. The step of obtaining the pixel row with the largest number value occupied by the image block to be detected as the representative number value output includes: setting the number value of the pixel row at the lowest position in the image to be detected to zero. The step of obtaining the pixel row with the largest number value occupied by the image block to be detected as the representative number value output also includes: in the image to be detected, the number value of the pixel row is incremented by 1 sequentially from the lowest pixel row to the highest pixel row.

7. The real-time height limiting method using tension detection as described in claim 6, characterized in that: The boundary judgment device is also used to issue a jump normal command when the received representative number value is less than the preset value threshold. The process of identifying each human body object's image segment in the customized conversion image using human body imaging features includes: identifying each human body object's image segment in the customized conversion image based on the brightness value distribution range of pixels in the human body imaging region.

8. The real-time height limiting method using tension detection as described in claim 6, characterized in that: The signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device are all located in an instrument box near the trampoline project; The signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device share the same quartz oscillation device and the same timing service device. The quartz oscillation device is connected to the signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device, respectively, and the timing service device is connected to the signal correction device, the customized conversion device, the object identification mechanism, the content filtering mechanism, and the numerical analysis device, respectively.

9. The real-time height limiting method using tension detection as described in claim 6, characterized in that: The data conversion mechanism is also used to emit a second wireless signal when the current tension of the spring structure is less than the preset tension limit.

10. The real-time height limiting method using tension detection as described in claim 9, characterized in that: The Eagle Eye recording mechanism is also used to terminate the side recording operation of the trampoline project when the second wireless signal is received.

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