Vision-based vehicle load recognition device

Abstract

The utility model discloses a vehicle load identification device based on vision, and relates to the field of load measurement, the vehicle load identification device based on vision comprises a load identification main body and a handle connected with the load identification main body, the load identification main body comprises an acquisition assembly used for acquiring tire data of a vehicle; the processing assembly is connected with the acquisition assembly and used for obtaining load data of the vehicle based on the tire data; and the prompting assembly is connected with the processing assembly and used for prompting the load data. The vehicle load recognition device based on vision is a handheld device, is light, is easy to move, is not limited by terrain and distance, can be quickly deployed, improves the load recognition efficiency, determines the load data of the vehicle through the tire image of the vehicle collected by the collection assembly, achieves non-contact vehicle weighing, and improves the vehicle load recognition efficiency. The problem that the distance is too long and recognition is not clear is solved, parking is not needed during measurement, and blockage is avoided.

Description

Technical Field

[0001] The present application relates to the field of load measurement, and in particular to a vehicle load identification device based on vision. Background Art

[0002] Vehicle load is one of the most important loads on highways and bridges. Overloaded vehicles can cause serious damage to infrastructure such as roads and bridges, shortening the service life of bridges. Even under extreme conditions, overloaded trucks can exceed the carrying capacity of bridges, directly leading to bridge damage. In addition, overloaded vehicles are more likely to cause traffic accidents.

[0003] Based on the above problems, it is necessary to identify the load of the vehicle. Currently, the commonly used vehicle load identification methods include but are not limited to static weighing, pavement weighing-in-motion (WIM) and bridge weighing-in-motion (BWIM). Among them, the static weighing method transfers the vehicle load to the weighing sensor system through the load-bearing platform. Although the measurement accuracy is high, the vehicle needs to stop for a long time during measurement, which is easy to cause vehicle congestion; pavement weighing-in-motion is to install the induction coil into the groove of the pavement, and weigh the vehicle according to the principle that the piezoelectric material inside the induction coil generates charges on the surface after being stressed. Although this scheme does not require parking, the installation process of the measurement system required by this scheme is relatively cumbersome; bridge weighing-in-motion is a technology that uses the bridge as a carrier to invert the vehicle's axle weight, total weight, wheelbase and other information by measuring the bridge's dynamic response under the action of the vehicle load. However, the bridge bearing reaction force is inconvenient to measure and is easily disturbed by vibration and noise, and the measurement system needs to be installed on the bridge, which is greatly affected by the environment and has the problem of unclear identification at a distance.

[0004] Therefore, how to provide a solution to the above technical problems is a problem that those skilled in the art need to solve at present. Utility Model Content

[0005] The purpose of this application is to provide a vision-based vehicle load identification device that is lightweight and easy to move, is not restricted by terrain and distance, can be quickly deployed, and improves load identification efficiency. The vehicle load data is determined by collecting the vehicle tire data collected by the collection component, thereby realizing non-contact vehicle weighing and solving the problem of unclear identification due to long distances. There is no need to stop the vehicle during measurement, and no obstruction will be caused.

[0006] In order to solve the above technical problems, the present application provides a vehicle load identification device based on vision, including a load identification body and a handheld handle connected to the load identification body, wherein the load identification body includes:

[0007] A collection component for collecting tire data of a vehicle;

[0008] a processing component connected to the acquisition component and used to obtain the load data of the vehicle based on the tire data;

[0009] A prompting component connected to the processing component and used for prompting the load data.

[0010] Optionally, the acquisition component includes:

[0011] An image acquisition module connected to the processing component and used to acquire image data of a tire of the vehicle; the tire data includes the image data;

[0012] A distance measuring module connected to the processing component and used for collecting distance data between the image acquisition module and the tire; the tire data includes the distance data.

[0013] Optionally, the load identification body further includes a protective shell, the protective shell is provided with a groove for placing the image acquisition module, and the ranging module is arranged on a side of the protective shell close to the handheld handle.

[0014] Optionally, the image acquisition module includes:

[0015] A camera connected to the processing component and used to collect visible light image data of the tire of the vehicle;

[0016] An infrared imaging device connected to the processing component and used to collect infrared image data of the tire of the vehicle;

[0017] The image data includes the visible light image data and the infrared image data.

[0018] Optionally, the vision-based vehicle load identification device further includes:

[0019] A pan-tilt assembly for fixing the load identification body; the pan-tilt assembly includes a pan-tilt;

[0020] An adjustment component is arranged on the hand-held handle and is used to adjust the working angle of the pan / tilt head.

[0021] Optionally, the gimbal assembly includes a pitch axis, a roll axis and a yaw axis, the pitch axis and the roll axis are connected via a first connecting rod, the roll axis and the yaw axis are connected via a second connecting rod, the end of the handheld handle is connected to the yaw axis, and the pitch axis is connected to the acquisition assembly.

[0022] Optionally, the end of the hand-held handle is connected to the panning axis via a thread;

[0023] and / or,

[0024] The pitch axis is connected to the load identification body via a snap buckle.

[0025] Optionally, the adjustment component includes

[0026] An adjustment button and an adjustment knob connected to the processing component and used for adjusting the pitch axis, the roll axis and the yaw axis.

[0027] Optionally, the prompt component includes a touch display screen.

[0028] Optionally, the load identification body further includes:

[0029] A wireless communication module connected to the processing component and used for uploading the tire data to a cloud platform.

[0030] The present application provides a vision-based vehicle load identification device, which is provided with a handheld handle. The handheld device is light and easy to move, is not restricted by terrain and distance, can be quickly deployed, and improves load identification efficiency. The vehicle load data is determined by collecting the vehicle tire data collected by the collection component, thereby realizing non-contact vehicle weighing and solving the problem of unclear identification due to long distance. There is no need to stop the vehicle during measurement, and no obstruction will be caused. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0032] Figure 1 A schematic diagram of the structure of a vehicle load identification device based on vision provided in this application;

[0033] Figure 2 A schematic diagram of the structure of another vision-based vehicle load identification device provided in this application;

[0034] Figure 3 A schematic diagram of the structure of another vision-based vehicle load identification device provided in this application. DETAILED DESCRIPTION

[0035] The core of this application is to provide a vision-based vehicle load identification device, which is lightweight and easy to move, is not restricted by terrain and distance, can be quickly deployed, and improves load identification efficiency. The vehicle load data is determined by collecting the vehicle tire data collected by the collection component, thereby realizing non-contact vehicle weighing and solving the problem of unclear identification due to long distance. There is no need to stop the vehicle during measurement, and no obstruction will be caused.

[0036] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0037] Please refer to Figure 1 , Figure 1 This is a structural schematic diagram of a vision-based vehicle load identification device provided in the present application. The vision-based vehicle load identification device includes a handheld handle 1 and a load identification body 2 connected to the handheld handle 1. The load identification body 2 includes:

[0038] A collection component 21 for collecting tire data of a vehicle;

[0039] A processing component 22 connected to the acquisition component 21 and used to obtain vehicle load data based on tire data;

[0040] A prompting component 23 connected to the processing component 22 for prompting the load data.

[0041] The vehicle load identification device based on vision provided in this embodiment includes a load identification body 2 and a hand-held handle 1 for easy gripping by a user. As a preferred embodiment, the outer surface of the handle is provided with raised patterns for anti-slip. The load identification body 2 is provided with a protective shell, and the hand-held handle 1 is connected to the protective shell of the load identification body 2. The load identification body 2 includes a collection component 21, a processing component 22 and a prompt component 23.

[0042] The collection component 21 collects tire data of the vehicle without contact. The data sending end of the collection component 21 and the collection data receiving end of the processing component 22 are electrically connected so as to send the collected tire data to the processing component 22. The collection component 21 can be implemented in the form of a device, circuit, chip or a combination thereof having the above-mentioned collection function.

[0043] After receiving the tire data of the vehicle through its data collection receiving end, the processing component 22 obtains the load data of the vehicle based on the tire data, and the data sending end of the processing component 22 is connected to the load data receiving end of the prompt component 23 so as to send the load data to the prompt component 23. The processing component 22 can be implemented in the form of a device, circuit, chip or a combination thereof having the above functions. Among them, obtaining the load data of the vehicle based on the tire data can be implemented based on the existing solution, which will not be described in detail in this embodiment.

[0044] After the prompt component 23 obtains the load data of the vehicle through its load data receiving terminal, it prompts the load data. The prompt component 23 includes but is not limited to one or more of a display device or a sound prompt device, etc. The prompt component 23 and the collection component 21 can be arranged relative to each other for easy viewing by the user.

[0045] In an exemplary embodiment, the vision-based vehicle load identification device may also include a storage component, which is connected to the processing component 22 and is used to store load data and / or collected data, etc., to facilitate subsequent analysis.

[0046] It can be seen that in this embodiment, the vision-based vehicle load identification device is provided with a handheld handle. The handheld device is light and easy to move, is not restricted by terrain and distance, can be quickly deployed, and improves load identification efficiency. The vehicle load data is determined by collecting the vehicle tire data collected by the collection component, thereby realizing non-contact vehicle weighing and solving the problem of unclear identification due to long distance. There is no need to stop the vehicle during measurement, and no obstruction will be caused.

[0047] Please refer to Figure 2 and Figure 3 , Figure 2 and Figure 3 They are respectively structural schematic diagrams of another vision-based vehicle load identification device provided in the present application, Figure 2 and Figure 3 The processing component 22 is not shown in the figure. The vehicle load identification device based on vision is based on the above-mentioned embodiment:

[0048] In an exemplary embodiment, the acquisition component 21 includes:

[0049] An image acquisition module connected to the processing component 22 and used to acquire image data of a tire of the vehicle; the tire data includes image data;

[0050] A distance measuring module 211 connected to the processing component 22 and used for collecting distance data between the image acquisition module and the tire; the tire data includes distance data.

[0051] In this embodiment, the acquisition component 21 includes an image acquisition module and a distance measurement module 211, wherein the image acquisition module is used to acquire image data of the tire of the vehicle, and the distance measurement module 211 is used to measure the distance data between the image acquisition module and the tire. The distance data between the image acquisition module and the tire is acquired by the distance measurement module 211 to solve the problem of unclear identification due to too far distance. The data sending end of the image acquisition module and the data sending end of the distance measurement module 211 are both used as the data sending end of the acquisition component 21. The processing component 22 includes a plurality of acquisition data receiving ends. The data sending end of the image acquisition module is connected to the first acquisition data receiving end of the processing component 22 so as to send the acquired image data of the tire to the processing component 22. The acquisition data sending end of the distance measurement module 211 is connected to the second acquisition data receiving end of the processing component 22 so as to send the distance data between the image acquisition module and the tire to the processing component 22. In addition, the image acquisition module and the distance measurement module 211 are both electrically connected to the prompt component 23 so as to display the acquired tire data of the image acquisition module and the distance measurement module 211 through the prompt component 23.

[0052] The image acquisition module can be implemented in the form of a device, circuit, chip, sensor or a combination thereof with an image acquisition function, and the distance measurement module 211 can be implemented in the form of a device, circuit, chip, sensor or a combination thereof with a distance measurement function. In an exemplary embodiment, the image acquisition module includes but is not limited to a camera 212, and the distance measurement module 211 includes but is not limited to an infrared rangefinder.

[0053] In an exemplary embodiment, the load identification body 2 further includes a protective shell, the protective shell is provided with a groove for placing the image acquisition module, and the distance measurement module 211 is provided on a side of the protective shell close to the handheld handle 1 .

[0054] The load identification body 2 is also provided with a protective shell, the image acquisition device is built in the protective shell, and the distance measurement module 211 is externally arranged on the protective shell. Specifically, the distance measurement module 211 is arranged on a side of the protective shell close to the hand-held handle 1 to improve the distance measurement accuracy. In an exemplary embodiment, the image acquisition module includes:

[0055] A camera 212 connected to the processing component 22 and used to collect visible light image data of the tire of the vehicle;

[0056] An infrared imaging device 213 connected to the processing component 22 and used to collect infrared image data of tires of the vehicle;

[0057] The image data includes visible light image data and infrared image data.

[0058] In this embodiment, the image acquisition module includes a camera 212 for collecting visible light image data of the tire and an infrared imaging device 213 for collecting infrared image data of the tire, wherein the camera 212 and the prompt component 23 can be arranged relative to each other, wherein the visible light image data is used to determine the tire size, and the infrared image data is used to determine the tire temperature. Since the image acquisition module in this embodiment includes the camera 212 and the infrared imaging device 213, the comprehensiveness of the collected tire data is improved, so that the accuracy of the vehicle load data obtained based on the tire data is higher, and the weight measurement accuracy is improved. In an exemplary embodiment, the tire deformation amount and tire pressure can be determined based on the visible light image data, the distance data, and the infrared image data, so as to determine the weight of a single tire, and further determine the vehicle load data.

[0059] In an exemplary embodiment, the vision-based vehicle load identification device further includes:

[0060] A pan-tilt assembly for fixing the load identification body 2; the pan-tilt assembly includes a pan-tilt;

[0061] An adjustment component is provided on the hand-held handle 1 and is used to adjust the working angle of the pan / tilt head.

[0062] In this embodiment, the vision-based vehicle load identification device further includes a pan-tilt assembly and an adjustment assembly, wherein the pan-tilt assembly includes a pan-tilt, which is used to provide a stable working environment for the load identification subject 2. In this embodiment, the adjustment assembly is arranged on the handheld handle 1 for easy user operation. The user can adjust the working angle of the pan-tilt to meet the collection needs by operating the adjustment assembly on the handheld handle 1. It can be understood that the adjustment assembly is connected to the processing assembly 22, and the user operation instruction is sent to the processing assembly 22. The processing assembly 22 responds to the user operation instruction and adjusts the working angle of the pan-tilt.

[0063] It can be understood that the adjustment component includes a pan-tilt start switch 31, which is used to control the pan-tilt start or shut down. After the pan-tilt is started, a stable working environment can be provided for the load identification body 2.

[0064] In an exemplary embodiment, the gimbal assembly includes a pitch axis 41, a roll axis 42 and a yaw axis 43, the pitch axis 41 and the roll axis 42 are connected by a first connecting rod, the roll axis 42 and the yaw axis 43 are connected by a second connecting rod, the end of the handheld handle 1 is connected to the yaw axis 43, and the pitch axis 41 is connected to the acquisition assembly 21.

[0065] In this embodiment, the gimbal assembly also includes at least three rotation axes, namely the pitch axis 41, the roll axis 42 and the yaw axis 43. The three axes cooperate to enable the image acquisition module to rotate in all directions. It can be understood that a drive motor is configured at each rotation axis. Among them, the end of the handheld handle 1 is connected to the yaw axis 43 by a thread, and the yaw axis 43 and the handheld handle 1 can be firmly connected together, avoiding loosening due to vibration or force, and ensuring the safe and stable operation of the device. The pitch axis 41 is connected to the load identification body 2 by a snap-fit, which has the advantages of low cost and high efficiency assembly.

[0066] In an exemplary embodiment, the adjustment assembly includes

[0067] The adjustment button 32 and the adjustment knob 33 are connected to the processing component 22 and are used to coordinately adjust the pitch axis 41 , the roll axis 42 and the yaw axis 43 .

[0068] The adjustment component includes an adjustment button 32 and an adjustment knob 33, which cooperate to control the three rotation axes in the gimbal assembly to achieve the correction of the working angle of the gimbal and ensure that the shooting angle and the tire are 90°. The adjustment button 32 can be arranged near the gimbal start switch 31 for easy operation by the user. It can be understood that after the gimbal is started, the gimbal can automatically balance to a horizontal angle. By adjusting the knob 33 in conjunction with the adjustment button 32, the three rotation axes can be controlled to rotate to the required angles separately. For example, the adjustment button 32 includes a first button corresponding to the pitch axis 41, a second button corresponding to the roll axis 42, and a third button corresponding to the heading axis 43. When the adjustment knob 33 cooperates with the first button, the rotation angle of the pitch axis 41 is adjusted. When the adjustment knob 33 cooperates with the second button, the rotation angle of the roll axis 42 is adjusted. When the adjustment knob 33 cooperates with the third button, the rotation angle of the heading axis 43 is adjusted.

[0069] Specifically, the command sending end of the adjustment button 32 is connected to the first command receiving end of the processing component 22, and the command sending end of the adjustment knob 33 is connected to the second command receiving end of the processing component 22, so that the adjustment button 32 and the adjustment knob 33 respectively send their respectively generated user operation instructions to the processing component 22, and the control end of the processing component 22 is connected to the motors at each rotating shaft, so that the processing component 22 controls the motor action at each rotating shaft based on the received user operation instructions, and drives or locks the rotating shaft at the target angle through the motor.

[0070] In an exemplary embodiment, the prompt component 23 includes a touch screen to facilitate user operation and viewing of relevant information, see Figure 2As shown, the touch display screen can display visible light image data of the tire. The touch display screen includes but is not limited to vehicle information, tire specifications, tire pressure and other information selection virtual buttons, upload operation virtual buttons, distance measurement operation virtual buttons, confirmation operation virtual buttons, shooting operation virtual buttons, return operation virtual buttons, etc. The user can interact with the vehicle load identification device through the virtual buttons on the touch display screen.

[0071] In an exemplary embodiment, the load identification body 2 further includes:

[0072] A wireless communication module connected to the processing component 22 and used to upload tire data to the cloud platform.

[0073] In this embodiment, the load identification device also includes a wireless communication module to achieve wireless data transmission between the visual-based vehicle load identification device and the cloud platform. It can be understood that the processing component 22 is connected to the cloud platform through the wireless communication module, and the acquired tire data is uploaded to the cloud platform. The cloud platform calculates the vehicle load data based on the tire data. After the calculation is completed, the vehicle load data is sent to the processing component 22 of the visual-based vehicle load identification device through the wireless communication module, and the processing component 22 sends the load data to the prompt component 23 for prompting.

[0074] In another embodiment, the processing component 22 may include a chip, circuit or a combination thereof having the above-mentioned load data calculation function. When the communication between the load identification device and the cloud platform is disconnected, the processing component 22 calculates the load data of the vehicle based on the tire data. When the communication between the load identification device and the cloud platform is normal, the processing component 22 uploads the tire data to the cloud platform through the wireless communication module.

[0075] In summary, the present application can quickly pre-check the vehicle weight only through the non-contact camera 212 without using any contact equipment. The non-contact vehicle weighing technology based on computer vision breaks the traditional way of using sensors to obtain the vehicle weight, uses a gimbal to stabilize the shooting picture, keeps the shooting angle and the tire at 90 degrees, and uses an infrared rangefinder to record the shooting distance value, solving the problem of unclear recognition due to long distances.

[0076] It should also be noted that, in this specification, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0077] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A vehicle load identification device based on vision, characterized in that: It comprises a load identification body and a hand-held handle connected to the load identification body, and the load identification body comprises: A collection component for collecting tire data of a vehicle; A processing component connected to the acquisition component and used to obtain the load data of the vehicle based on the tire data; the processing component is a device, circuit, chip or combination thereof having the function of obtaining the load data of the vehicle based on the tire data; a prompting component connected to the processing component and used for prompting the load data; The acquisition component comprises: An image acquisition module connected to the processing component and used to acquire image data of a tire of the vehicle; the tire data includes the image data; A distance measuring module connected to the processing component and used for collecting distance data between the image acquisition module and the tire; the tire data includes the distance data.

2. The vehicle load identification device based on vision according to claim 1, characterized in that: The load identification body also includes a protective shell, the protective shell is provided with a groove for placing the image acquisition module, and the distance measurement module is arranged on a side of the protective shell close to the handheld handle.

3. The vehicle load identification device based on vision according to claim 1, characterized in that: The image acquisition module comprises: A camera connected to the processing component and used to collect visible light image data of the tire of the vehicle; An infrared imaging device connected to the processing component and used to collect infrared image data of the tire of the vehicle; The image data includes the visible light image data and the infrared image data.

4. The vehicle load identification device based on vision according to claim 3, characterized in that: The vehicle load identification device based on vision also includes: A pan-tilt assembly for fixing the load identification body; the pan-tilt assembly includes a pan-tilt; An adjustment component is arranged on the hand-held handle and is used to adjust the working angle of the pan / tilt head.

5. The vehicle load identification device based on vision according to claim 4, characterized in that: The gimbal assembly includes a pitch axis, a roll axis and a yaw axis, the pitch axis and the roll axis are connected via a first connecting rod, the roll axis and the yaw axis are connected via a second connecting rod, the end of the handheld handle is connected to the yaw axis, and the pitch axis is connected to the acquisition assembly.

6. The vehicle load identification device based on vision according to claim 5, characterized in that: The end of the hand-held handle is connected to the panning axis via a thread; and / or, The pitch axis is connected to the load identification body via a snap buckle.

7. The vehicle load identification device based on vision according to claim 5, characterized in that: The adjustment component includes An adjustment button and an adjustment knob connected to the processing component and used for adjusting the pitch axis, the roll axis and the yaw axis.

8. The vehicle load identification device based on vision according to claim 1, characterized in that: The prompt component includes a touch display screen.

9. The vehicle load identification device based on vision according to any one of claims 1 to 8, characterized in that: The load identification subject also includes: A wireless communication module connected to the processing component and used for uploading the tire data to a cloud platform.

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