Vehicle headlight detection method, detection device and computer-readable storage medium

Abstract

The present invention discloses a vehicle headlight detection method, detection device, and computer-readable storage medium. The method comprises the following steps: performing optical axis precision adjustment on a vehicle to be detected, obtaining a first headlight to be detected of the vehicle after the optical axis precision adjustment, and a target optical axis offset corresponding to the first headlight to be detected; classifying the first headlights to be detected according to the target offset and a preset offset threshold to obtain a first group of headlights to be detected and a second group of headlights to be detected; and selecting a number of target headlights to be detected from the first group of headlights to be detected and the second group of headlights to be detected for optical axis precision testing, thereby obtaining a test result. The present invention ensures the quality level of headlight headlight axis precision.

Description

Technical Field

[0001] The present invention relates to the field of vehicle detection technology, and in particular to a vehicle headlight detection method, a detection device, and a computer-readable storage medium. Background Art

[0002] Headlights are an active safety component on a car, and they also highlight the car's exterior and decorative style, occupying a crucial position among automotive parts. Headlights, in particular, are crucial for nighttime driving safety, providing sufficient illumination for the driver and alerting other drivers.

[0003] The position of the headlight beam, that is, the position of the headlight optical axis, has strict requirements in the national standard GB7258. If the height is too high or too low, or if it is tilted to the left or right horizontally, it does not meet the national standard requirements, resulting in the driver of this vehicle or other vehicles being unable to drive normally.

[0004] The current quality control method for the position of the light axis of the headlights on automobiles is that after the light axis of the headlights is adjusted on the production line, the inspection project will conduct random inspections and measurements on the vehicles to confirm the stability of the adjustment project, thereby ensuring the quality of the produced vehicles. The adjustment method of the production line is to set up a qualified correction frame in the headlight light axis adjustment equipment of the production line in advance, move the vehicle to the work station, and confirm whether the headlight light axis is in the correction frame. When the headlight light axis is in the correction frame, the equipment automatically determines that it is qualified. When it is not in the correction frame, personnel are required to adjust the light axis with the adjustment screws on the vehicle's headlights and achieve a qualified state. The inspection project detects the position of the headlight light axis through random sampling according to the national standard method, which can more accurately confirm the position accuracy of the vehicle's headlight light axis and then judge the quality status of the adjustment project.

[0005] However, the adjustment data for the production line in the past was not used reasonably, and the sampling method of the inspection project was random. Scientific sampling was not carried out in combination with the adjustment status of the production line. The sampling effectiveness was insufficient and the quality level of the headlight axis accuracy could not be ensured.

[0006] The above content is only used to assist in understanding the technical solution of this application and does not constitute an admission that the above content is prior art. Summary of the Invention

[0007] The main purpose of the present invention is to provide a vehicle headlight detection method, detection device and computer-readable storage medium, aiming to solve the problem of not being able to ensure the quality level of the optical axis accuracy of vehicle headlights.

[0008] To achieve the above object, the present invention provides a vehicle headlight detection method, the vehicle headlight detection method comprising the steps of:

[0009] Performing optical axis precision adjustment on the vehicle to be adjusted to obtain a first headlight to be detected on the vehicle after the optical axis precision adjustment, and a target offset of the headlight optical axis corresponding to the first headlight to be detected;

[0010] Classifying the first vehicle lights to be detected according to the target offset and a preset offset threshold to obtain a first vehicle light group to be detected and a second vehicle light group to be detected;

[0011] In the first group of vehicle lights to be detected and the second group of vehicle lights to be detected, a number of target vehicle lights to be detected are selected to perform optical axis accuracy detection to obtain detection results.

[0012] Optionally, the step of performing optical axis precision adjustment on the vehicle to be adjusted to obtain a first headlight to be detected of the vehicle after the optical axis precision adjustment, and a target offset of the headlight optical axis corresponding to the first headlight to be detected includes:

[0013] Obtaining the optical axis center of the vehicle light to be adjusted, and adjusting the optical axis precision of the vehicle light according to the optical axis center and a preset correction frame to obtain a first vehicle light to be detected;

[0014] A first offset between the center of the light axis of the first vehicle lamp to be detected and the center of the preset correction frame is recorded, and the first offset is used as a target offset.

[0015] Optionally, the step of classifying the first vehicle lights to be detected according to the target offset and a preset offset threshold to obtain a first group of vehicle lights to be detected and a second group of vehicle lights to be detected includes:

[0016] Comparing the target offset with a preset offset threshold to obtain a comparison result;

[0017] According to the comparison result, the first vehicle lights to be detected are classified to obtain a first vehicle light group to be detected and a second vehicle light group to be detected.

[0018] Optionally, the comparison result includes that the target offset is greater than or equal to the preset offset threshold and that the target offset is less than the preset offset threshold;

[0019] The step of classifying the first vehicle lights to be detected according to the comparison result to obtain a first group of vehicle lights to be detected and a second group of vehicle lights to be detected comprises:

[0020] If the target offset is greater than or equal to the preset offset threshold, determining the first to-be-detected vehicle light as a first to-be-detected vehicle light group;

[0021] If the target offset is less than the preset offset threshold, the first to-be-detected vehicle lights are determined to be grouped as a second to-be-detected vehicle light group.

[0022] Optionally, the step of selecting a plurality of target headlights to be detected from the first group of headlights to be detected and the second group of headlights to be detected to perform optical axis accuracy detection and obtaining the detection results includes:

[0023] Selecting a first number of second headlights to be detected from the first group of headlights to be detected, and selecting a second number of third headlights to be detected from the second group of headlights to be detected, wherein the first number is greater than the second number;

[0024] The second vehicle lamp to be detected and the third vehicle lamp to be detected are used as target vehicle lamps to be detected, and optical axis accuracy detection is performed on the target vehicle lamps to obtain detection results.

[0025] Optionally, the step of performing optical axis accuracy detection on the target vehicle headlight to be detected and obtaining a detection result includes:

[0026] Obtaining the maximum brightness point of the target vehicle lamp to be inspected on a preset screen when the target vehicle lamp is on a preset standard inspection platform;

[0027] According to the maximum brightness point, recording a first height between the position of the maximum brightness point and the preset standard detection platform;

[0028] Recording a second height between a preset reference center of the target vehicle lamp to be inspected and the preset standard inspection platform;

[0029] A detection result is obtained according to the first height and the second height.

[0030] Optionally, the step of obtaining a detection result according to the first height and the second height includes:

[0031] Obtaining a difference between the first height and the second height according to the first height and the second height;

[0032] If the difference is within the preset threshold, the test result is determined to be qualified.

[0033] Optionally, after obtaining the difference between the first height and the second height according to the first height and the second height, the method further includes:

[0034] If the difference is not within the preset threshold, the test result is determined to be unqualified.

[0035] In addition, to achieve the above-mentioned purpose, the present invention also provides a detection device, which includes a memory, a processor, and a vehicle headlight detection program stored in the memory and runnable on the processor. When the vehicle headlight detection program is executed by the processor, the steps of the vehicle headlight detection method described above are implemented.

[0036] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, on which a vehicle headlight detection program is stored. When the vehicle headlight detection program is executed by a processor, the steps of the vehicle headlight detection method described above are implemented.

[0037] The present invention proposes a vehicle headlight detection method, detection device, and computer-readable storage medium. The vehicle headlight detection method includes the following steps: performing optical axis precision adjustment on a vehicle to be adjusted, obtaining a first headlight to be detected of the vehicle after the optical axis precision adjustment, and a target offset of the headlight optical axis corresponding to the first headlight to be detected; classifying the first headlights to be detected according to the target offset and a preset offset threshold to obtain a first group of headlights to be detected and a second group of headlights to be detected; and selecting a number of target headlights to be detected from the first group of headlights to be detected and the second group of headlights to be detected for optical axis precision testing to obtain a test result. Through the above method, the present invention can associate the headlight optical axis production line adjustment system with the sampling method of the inspection project, rationally utilize the data of the production line adjustment system, improve the sampling effectiveness of the inspection project, and ensure the quality assurance level of the headlight optical axis precision. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 Schematic diagram of the hardware operating environment of the embodiment of the present invention;

[0039] Figure 2 This is a flow chart of an embodiment of a vehicle headlight detection method of the present invention;

[0040] Figure 3 It is a schematic diagram of a scenario for performing optical axis accuracy detection in the vehicle headlight detection method of the present invention.

[0041] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0043] like Figure 1 As shown, Figure 1 It is a schematic diagram of the terminal structure of the hardware operating environment involved in the embodiment of the present invention.

[0044] like Figure 1 As shown, the terminal may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a DVI interface 1004, a USB interface 1005, and a memory 1006. The communication bus 1002 is used to implement connection and communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard. Optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The DVI interface 1004 may optionally include a standard wired interface for connecting to other external devices via a DVI cable. The USB interface 1005 may optionally include a standard wired interface for connecting to other external devices via a USB cable. The memory 1006 may be a high-speed RAM memory or a non-volatile memory, such as a disk storage device. The memory 1006 may also be a storage device independent of the aforementioned processor 1001.

[0045] Optionally, the terminal may further include an audio circuit and the like, which will not be described in detail here.

[0046] Those skilled in the art will understand that Figure 1 The terminal structure shown in the figure does not constitute a limitation to the terminal, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0047] like Figure 1 As shown, the memory 1006 as a computer storage medium may include an operating system, a DVI interface module, a USB interface module, a user interface module, and a vehicle headlight detection program.

[0048] exist Figure 1 In the terminal shown, the DVI interface 1004 is mainly used to connect to external devices and communicate data with them; the USB interface 1005 is mainly used to connect to external devices and communicate data with them; the user interface 1003 is mainly used to connect to a client and communicate data with the client; and the processor 1001 can be used to call the vehicle headlight detection program stored in the memory 1006 and perform the following operations:

[0049] Performing optical axis precision adjustment on the vehicle to be adjusted to obtain a first headlight to be detected on the vehicle after the optical axis precision adjustment, and a target offset of the headlight optical axis corresponding to the first headlight to be detected;

[0050] Classifying the first vehicle lights to be detected according to the target offset and a preset offset threshold to obtain a first vehicle light group to be detected and a second vehicle light group to be detected;

[0051] In the first group of vehicle lights to be detected and the second group of vehicle lights to be detected, a number of target vehicle lights to be detected are selected to perform optical axis accuracy detection to obtain detection results.

[0052] Furthermore, the processor 1001 may call the vehicle headlight detection program stored in the memory 1006 and perform the following operations:

[0053] Obtaining the optical axis center of the vehicle light to be adjusted, and adjusting the optical axis precision of the vehicle light according to the optical axis center and a preset correction frame to obtain a first vehicle light to be detected;

[0054] A first offset between the center of the light axis of the first vehicle lamp to be detected and the center of the preset correction frame is recorded, and the first offset is used as a target offset.

[0055] Furthermore, the processor 1001 may call the vehicle headlight detection program stored in the memory 1006 and perform the following operations:

[0056] Comparing the target offset with a preset offset threshold to obtain a comparison result;

[0057] According to the comparison result, the first vehicle lights to be detected are classified to obtain a first vehicle light group to be detected and a second vehicle light group to be detected.

[0058] Furthermore, the processor 1001 may call the vehicle headlight detection program stored in the memory 1006 and perform the following operations:

[0059] If the target offset is greater than or equal to the preset offset threshold, determining the first to-be-detected vehicle light as a first to-be-detected vehicle light group;

[0060] If the target offset is less than the preset offset threshold, the first to-be-detected vehicle lights are determined to be grouped as a second to-be-detected vehicle light group.

[0061] Furthermore, the processor 1001 may call the vehicle headlight detection program stored in the memory 1006 and perform the following operations:

[0062] Selecting a first number of second headlights to be detected from the first group of headlights to be detected, and selecting a second number of third headlights to be detected from the second group of headlights to be detected, wherein the first number is greater than the second number;

[0063] The second vehicle lamp to be detected and the third vehicle lamp to be detected are used as target vehicle lamps to be detected, and optical axis accuracy detection is performed on the target vehicle lamps to obtain detection results.

[0064] Furthermore, the processor 1001 may call the vehicle headlight detection program stored in the memory 1006 and perform the following operations:

[0065] Obtaining the maximum brightness point of the target vehicle lamp to be inspected on a preset screen when the target vehicle lamp is on a preset standard inspection platform;

[0066] According to the maximum brightness point, recording a first height between the position of the maximum brightness point and the preset standard detection platform;

[0067] Recording a second height between a preset reference center of the target vehicle lamp to be inspected and the preset standard inspection platform;

[0068] A detection result is obtained according to the first height and the second height.

[0069] Furthermore, the processor 1001 may call the vehicle headlight detection program stored in the memory 1006 and perform the following operations:

[0070] Obtaining a difference between the first height and the second height according to the first height and the second height;

[0071] If the difference is within the preset threshold, the test result is determined to be qualified.

[0072] Furthermore, the processor 1001 may call the vehicle headlight detection program stored in the memory 1006 and perform the following operations:

[0073] If the difference is not within the preset threshold, the test result is determined to be unqualified.

[0074] The specific embodiments of the vehicle of the present invention are basically the same as the embodiments of the vehicle headlight detection program described below, and will not be described in detail here.

[0075] See also Figure 2 , Figure 2 This is a flow chart of a first embodiment of a vehicle headlight detection method according to the present invention. The vehicle headlight detection method provided in this embodiment includes the following steps:

[0076] Step S10, performing optical axis precision adjustment on the vehicle to be adjusted, obtaining a first headlight to be detected of the vehicle after the optical axis precision adjustment, and a target offset of the headlight optical axis corresponding to the first headlight to be detected;

[0077] In this embodiment, the vehicle to be adjusted is a vehicle that needs to undergo optical axis precision adjustment. The first vehicle lamp to be detected is the left headlamp corresponding to the vehicle that has undergone optical axis precision adjustment, or the right headlamp of each vehicle.

[0078] It should be noted that, in this embodiment, the optical axis accuracy can be adjusted by a production line adjustment device. Specifically, the production line adjustment device includes a light sensor, a display screen, a correction frame and a data recording unit, wherein the light sensor is used to determine the center of the optical axis on the display screen according to the strongest light spot of the light of the vehicle to be adjusted on the display screen; the adjustment unit adjusts the optical axis accuracy of the headlights of each vehicle to be adjusted, and records the target offset of the headlights of each vehicle to be adjusted; the correction frame is determined according to the preset reference center of the vehicle to be adjusted, wherein the preset reference center refers to the physical mark on the headlight structure, that is, each vehicle to be adjusted has a different reference center, specifically, the center of the correction frame can be calculated according to 0.9H+50, where H is the reference center, and the border of the correction frame can be the center of the correction frame ±10mm, and the length unit in this embodiment is mm. It should be noted that the national standard GB7258 stipulates that the height of the light axis of the car light should be between 0.8H and H+100, while the center point of the correction frame in this embodiment is 0.9H+50, and the frame height is ±10mm, which fully meets the height of the light axis of the car light stipulated in the national standard.

[0079] In one embodiment, step S10 further includes:

[0080] Step A11, obtaining the light axis center of the vehicle to be adjusted, and adjusting the light axis precision of the vehicle light according to the light axis center and a preset correction frame to obtain a first vehicle light to be detected;

[0081] In this embodiment, the optical axis center of the headlight is the strongest light spot emitted by the headlight, which can be displayed on the above-mentioned display screen. The preset correction frame is the above-mentioned correction frame, and the present invention will not be described in detail here. Specifically, when adjusting the optical axis accuracy, it is necessary to control the optical axis center of the headlight within the correction frame to complete the adjustment of the optical axis accuracy. After completing the optical axis accuracy adjustment, the adjusted headlight also needs to be tested. Therefore, the first headlight to be tested is the left front headlight corresponding to the vehicle that has undergone optical axis accuracy adjustment, or the right front headlight of each vehicle.

[0082] Step A12: Record a first offset between the center of the light axis of the first vehicle lamp to be detected and the center of the preset correction frame, and use the first offset as a target offset.

[0083] In this embodiment, the center of the preset correction frame has been described in the above embodiment and will not be repeated here. In this embodiment, the center of the headlight light axis and the center of the preset correction frame are both located on the same display screen. Therefore, the value of the first offset can be calculated based on the distance between the two points.

[0084] Step S20, classifying the first vehicle lights to be detected according to the target offset and a preset offset threshold to obtain a first vehicle light group to be detected and a second vehicle light group to be detected;

[0085] In this embodiment, step S20 further includes:

[0086] Step A21, comparing the target offset with a preset offset threshold to obtain a comparison result;

[0087] In this embodiment, before executing step A21, a preset offset threshold value needs to be calculated. Specifically, the preset offset threshold value is determined based on the difference between the upper limit of the offset and the fluctuation amount. The upper limit of the offset is the height of the correction frame, and the fluctuation amount can be set to 20% of the height of the correction frame. For example, if the total height of the correction frame is 20 mm, the upper limit is 10 mm and the lower limit is 10 mm. The fluctuation amount can be 20% of the upper or lower limit, that is, 2 mm. Therefore, the preset offset threshold value is 8 mm.

[0088] Step A21: Classify the first vehicle lights to be detected according to the comparison result to obtain a first vehicle light group to be detected and a second vehicle light group to be detected.

[0089] In one embodiment, the step A21 further includes:

[0090] Step A211: if the target offset is greater than or equal to the preset offset threshold, determining the first to-be-detected vehicle headlight as a first to-be-detected vehicle headlight group;

[0091] Step A212: If the target offset is less than the preset offset threshold, the first to-be-detected headlights are determined to be grouped as the second to-be-detected headlights.

[0092] In this embodiment, the comparison results include two types: the target offset is greater than or equal to the preset offset threshold, and the target offset is less than the preset offset. If the target offset is greater than or equal to the preset offset threshold, the first headlight to be detected is determined to be in the first headlight group to be detected; if the target offset is less than the preset offset threshold, the first headlight to be detected is determined to be in the second headlight group to be detected.

[0093] Step S30 : Selecting a number of target headlights to be detected from the first group of headlights to be detected and the second group of headlights to be detected to perform optical axis accuracy detection and obtain detection results.

[0094] In this example, see Figure 3 , Figure 3 A schematic diagram of the scenario for optical axis accuracy testing. First, place the vehicle corresponding to the target headlight to be tested on a standard testing platform so that the headlight is illuminated on the screen. Then use a measuring ruler to measure the first height Di and the second height Bi. The first height is measured and the second height is measured.

[0095] Specifically, in one embodiment, step S30 further includes:

[0096] Step A31: selecting a first number of second headlights to be detected from the first group of headlights to be detected, and selecting a second number of third headlights to be detected from the second group of headlights to be detected, wherein the first number is greater than the second number;

[0097] In this embodiment, the second vehicle headlight to be detected and the third vehicle headlight to be detected are both randomly selected, and the ratio between the first number and the second number is greater than 2.

[0098] Step A32: taking the second to-be-detected vehicle lamp and the third to-be-detected vehicle lamp as target to-be-detected vehicle lamps, and performing an optical axis accuracy test on the target to-be-detected vehicle lamps to obtain a test result;

[0099] In one embodiment, the step A33 further includes:

[0100] Step A331, obtaining the maximum brightness point of the target vehicle lamp to be inspected on a preset screen when the target vehicle lamp is on a preset standard inspection platform;

[0101] Step A332: recording a first height between the position of the maximum brightness point and the preset standard detection platform according to the maximum brightness point;

[0102] Step A333, recording a second height between a preset reference center of the target vehicle lamp to be inspected and the preset standard inspection platform;

[0103] In this example, see Figure 3When a car light shines on a screen, it produces a maximum brightness point with the highest illumination intensity. Therefore, the distance between this maximum brightness point on the screen and the standard detection platform is the first height, Di. The preset reference center of the car light is the physical reference center of the car light structure, and the height between this reference center and the standard detection platform is the second height, Bi. The maximum brightness point can be determined by a light receiver disposed on the screen.

[0104] Step A334: Obtain a detection result based on the first height and the second height.

[0105] In one embodiment, the step A334 further includes:

[0106] Step A3341: Obtain a difference between the first height and the second height according to the first height and the second height;

[0107] Step A3342: If the difference is within the preset threshold, the test result is determined to be qualified;

[0108] Step A3343: If the difference is not within the preset threshold, the test result is determined to be unqualified.

[0109] In this embodiment, the preset threshold can be determined based on the headlight's reference center. Specifically, since the second height is the height between the headlight's preset reference center and the preset standard testing platform, the standard second height is the preset reference center point height. According to national standards, the standard first height in this embodiment can be between 0.8H and H+100. Therefore, the preset threshold can range from 0.8HH to H+100-H. If the difference is within the threshold, the test is considered acceptable; if not, the test is considered unacceptable.

[0110] The present invention proposes a vehicle headlight detection method, comprising the following steps: performing optical axis precision adjustment on a vehicle to be adjusted, obtaining a first headlight to be detected of the vehicle after the optical axis precision adjustment, and a target offset of the headlight optical axis corresponding to the first headlight to be detected; classifying the first headlights to be detected according to the target offset and a preset offset threshold, obtaining a first group of headlights to be detected and a second group of headlights to be detected; and selecting a number of target headlights to be detected from the first group of headlights to be detected and the second group of headlights to be detected for optical axis precision testing, thereby obtaining a test result. Through the above method, the present invention can link the headlight optical axis production line adjustment system with the sampling method of the inspection project, rationally utilize the data of the production line adjustment system, improve the sampling effectiveness of the inspection project, and ensure the quality assurance level of the headlight optical axis precision.

[0111] In addition, an embodiment of the present invention further provides a computer-readable storage medium, wherein a vehicle headlight detection program is stored on the computer-readable storage medium. When the vehicle headlight detection program is executed by a processor, the following operations are implemented:

[0112] Performing optical axis precision adjustment on the vehicle to be adjusted to obtain a first headlight to be detected on the vehicle after the optical axis precision adjustment, and a target offset of the headlight optical axis corresponding to the first headlight to be detected;

[0113] Classifying the first vehicle lights to be detected according to the target offset and a preset offset threshold to obtain a first vehicle light group to be detected and a second vehicle light group to be detected;

[0114] In the first group of vehicle lights to be detected and the second group of vehicle lights to be detected, a number of target vehicle lights to be detected are selected to perform optical axis accuracy detection to obtain detection results.

[0115] Furthermore, when the vehicle headlight detection program is executed by the processor, the following operations are also implemented:

[0116] The step of adjusting the optical axis precision of the vehicle to be adjusted to obtain a first headlight to be detected of the vehicle after the optical axis precision adjustment and a target offset of the headlight optical axis corresponding to the first headlight to be detected comprises:

[0117] Obtaining the optical axis center of the vehicle light to be adjusted, and adjusting the optical axis precision of the vehicle light according to the optical axis center and a preset correction frame to obtain a first vehicle light to be detected;

[0118] A first offset between the center of the light axis of the first vehicle lamp to be detected and the center of the preset correction frame is recorded, and the first offset is used as a target offset.

[0119] Furthermore, when the vehicle headlight detection program is executed by the processor, the following operations are also implemented:

[0120] The step of classifying the first vehicle lights to be detected according to the target offset and the preset offset threshold to obtain a first vehicle light group to be detected and a second vehicle light group to be detected includes:

[0121] Comparing the target offset with a preset offset threshold to obtain a comparison result;

[0122] According to the comparison result, the first vehicle lights to be detected are classified to obtain a first vehicle light group to be detected and a second vehicle light group to be detected.

[0123] Furthermore, when the vehicle headlight detection program is executed by the processor, the following operations are also implemented:

[0124] The comparison result includes that the target offset is greater than or equal to the preset offset threshold and that the target offset is less than the preset offset threshold;

[0125] The step of classifying the first vehicle lights to be detected according to the comparison result to obtain a first group of vehicle lights to be detected and a second group of vehicle lights to be detected includes:

[0126] If the target offset is greater than or equal to the preset offset threshold, determining the first to-be-detected vehicle light as a first to-be-detected vehicle light group;

[0127] If the target offset is less than the preset offset threshold, the first to-be-detected vehicle lights are determined to be grouped as a second to-be-detected vehicle light group.

[0128] Furthermore, when the vehicle headlight detection program is executed by the processor, the following operations are also implemented:

[0129] The step of selecting a plurality of target headlights to be detected from the first group of headlights to be detected and the second group of headlights to be detected to perform optical axis accuracy detection and obtaining the detection results comprises:

[0130] Selecting a first number of second headlights to be detected from the first group of headlights to be detected, and selecting a second number of third headlights to be detected from the second group of headlights to be detected, wherein the first number is greater than the second number;

[0131] The second vehicle lamp to be detected and the third vehicle lamp to be detected are used as target vehicle lamps to be detected, and optical axis accuracy detection is performed on the target vehicle lamps to obtain detection results.

[0132] Furthermore, when the vehicle headlight detection program is executed by the processor, the following operations are also implemented:

[0133] The step of performing optical axis accuracy detection on the target vehicle lamp to be detected and obtaining the detection result comprises:

[0134] Obtaining the maximum brightness point of the target vehicle lamp to be inspected on a preset screen when the target vehicle lamp is on a preset standard inspection platform;

[0135] According to the maximum brightness point, recording a first height between the position of the maximum brightness point and the preset standard detection platform;

[0136] Recording a second height between a preset reference center of the target vehicle lamp to be inspected and the preset standard inspection platform;

[0137] A detection result is obtained according to the first height and the second height.

[0138] Furthermore, when the vehicle headlight detection program is executed by the processor, the following operations are also implemented:

[0139] The step of obtaining a detection result according to the first height and the second height includes:

[0140] Obtaining a difference between the first height and the second height according to the first height and the second height;

[0141] If the difference is within the preset threshold, the test result is determined to be qualified.

[0142] Furthermore, when the vehicle headlight detection program is executed by the processor, the following operations are also implemented:

[0143] After the step of obtaining the difference between the first height and the second height according to the first height and the second height, the method further includes:

[0144] If the difference is not within the preset threshold, the test result is determined to be unqualified.

[0145] The specific embodiments of the computer-readable storage medium of the present invention are substantially the same as the embodiments of the vehicle headlight detection program described above, and are not described in detail herein.

[0146] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0147] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0148] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0149] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A vehicle headlight detection method, characterized in that: The vehicle headlight detection method comprises the steps of: Performing optical axis precision adjustment on the vehicle to be adjusted to obtain a first headlight to be detected on the vehicle after the optical axis precision adjustment, and a target offset of the headlight optical axis corresponding to the first headlight to be detected; Classifying the first vehicle lights to be detected according to the target offset and a preset offset threshold to obtain a first vehicle light group to be detected and a second vehicle light group to be detected; Selecting a plurality of target headlights to be detected from the first group of headlights to be detected and the second group of headlights to be detected to perform optical axis accuracy detection and obtain detection results; The step of adjusting the optical axis precision of the vehicle to be adjusted to obtain a first headlight to be detected of the vehicle after the optical axis precision adjustment and a target offset of the headlight optical axis corresponding to the first headlight to be detected comprises: Obtaining the optical axis center of the vehicle light to be adjusted, and adjusting the optical axis precision of the vehicle light according to the optical axis center and a preset correction frame to obtain a first vehicle light to be detected; Recording a first offset between the center of the headlight axis of the first headlight to be detected and the center of the preset correction frame, and using the first offset as a target offset; The step of classifying the first vehicle lights to be detected according to the target offset and the preset offset threshold to obtain a first vehicle light group to be detected and a second vehicle light group to be detected includes: Comparing the target offset with a preset offset threshold to obtain a comparison result; Classifying the first vehicle lights to be detected according to the comparison result to obtain a first vehicle light group to be detected and a second vehicle light group to be detected; The comparison result includes that the target offset is greater than or equal to the preset offset threshold and that the target offset is less than the preset offset threshold; The step of classifying the first vehicle lights to be detected according to the comparison result to obtain a first group of vehicle lights to be detected and a second group of vehicle lights to be detected includes: If the target offset is greater than or equal to the preset offset threshold, determining the first to-be-detected vehicle light as a first to-be-detected vehicle light group; If the target offset is less than the preset offset threshold, the first to-be-detected headlight is determined to be grouped as a second to-be-detected headlight; The step of selecting a plurality of target headlights to be detected from the first group of headlights to be detected and the second group of headlights to be detected to perform optical axis accuracy detection and obtaining the detection results comprises: Selecting a first number of second headlights to be detected from the first group of headlights to be detected, and selecting a second number of third headlights to be detected from the second group of headlights to be detected, wherein the first number is greater than the second number; The second vehicle lamp to be detected and the third vehicle lamp to be detected are used as target vehicle lamps to be detected, and optical axis accuracy detection is performed on the target vehicle lamps to obtain detection results.

2. The vehicle headlight detection method according to claim 1, wherein: The step of performing optical axis accuracy detection on the target vehicle lamp to be detected and obtaining the detection result comprises: Obtaining the maximum brightness point of the target vehicle lamp to be inspected on a preset screen when the target vehicle lamp is on a preset standard inspection platform; According to the maximum brightness point, recording a first height between the position of the maximum brightness point and the preset standard detection platform; Recording a second height between a preset reference center of the target vehicle lamp to be inspected and the preset standard inspection platform; A detection result is obtained according to the first height and the second height.

3. The vehicle headlight detection method according to claim 2, wherein: The step of obtaining a detection result according to the first height and the second height includes: Obtaining a difference between the first height and the second height according to the first height and the second height; If the difference is within the preset threshold, the test result is determined to be qualified.

4. The vehicle headlight detection method according to claim 3, wherein: After the step of obtaining the difference between the first height and the second height according to the first height and the second height, the method further includes: If the difference is not within the preset threshold, the test result is determined to be unqualified.

5. A detection device, characterized in that: The detection device includes a memory, a processor, and a vehicle headlight detection program stored in the memory and executable on the processor. When the vehicle headlight detection program is executed by the processor, the steps of the vehicle headlight detection method according to any one of claims 1 to 4 are implemented.

6. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a vehicle headlight detection program, which, when executed by a processor, implements the steps of the vehicle headlight detection method according to any one of claims 1 to 4.

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