Apparatus and vehicle assembly line for online detection of an instrument panel assembly

Abstract

This utility model relates to a device for online inspection of dashboard assemblies. To automatically, quickly, and accurately detect defects in dashboard assemblies operating online, the device includes a trigger module, an image acquisition module, an image comparison module, and an alarm module. The trigger module is configured to receive an arrival signal from the location subsystem of the industrial production system indicating that the dashboard assembly is operating online and has reached the inspection station, and to trigger the image acquisition module based on the arrival signal. The image acquisition module includes at least three cameras configured to acquire images of different areas of the dashboard assembly to be inspected. The image comparison module is configured to compare the images acquired by the image acquisition module with a template image of the corresponding dashboard assembly to identify defects in the dashboard assembly. The alarm module is configured to activate an alarm signal when a defect is identified. This utility model also relates to a vehicle assembly line.

Description

Technical Field

[0001] This utility model relates to a device for online testing of dashboard assemblies and a vehicle assembly line. Background Technology

[0002] On traditional vehicle assembly lines, dashboard assemblies are typically inspected manually by quality control personnel to check for proper installation and defects in each component. However, due to the increasing complexity of dashboard assemblies and the growing number of inspection points—for example, quality control personnel may need to quickly check around ten points within seconds—and the continuous increase in production line speed in recent years, the workload for quality control personnel is increasing, leading to a higher probability of missed defects. If defects are not detected, the difficulty of rework after the defective dashboard assembly is installed in the vehicle will be significantly increased. Rework time could range from tens of minutes to several hours, with annual rework costs estimated at hundreds of thousands of yuan, undoubtedly reducing production quality and efficiency.

[0003] In some existing technologies, specialized equipment has been designed for photographic inspection of automotive dashboards to replace manual inspection. This involves moving the dashboard onto a dedicated positioning fixture and rotating it to fit the shooting angle of a top-mounted camera. However, such solutions are complex, time-consuming, and impractical for implementation on high-speed vehicle assembly lines. Furthermore, the additional moving process of the dashboard can easily cause unnecessary damage.

[0004] Therefore, there is an urgent need for a device for inspecting dashboard assemblies that can accurately identify defects in dashboard assemblies and is adapted to the production rhythm of vehicle assembly lines. Utility Model Content

[0005] The objective of this invention is to provide an apparatus for online inspection of dashboard assemblies and a vehicle assembly line, which can automatically, quickly and accurately detect defects in dashboard assemblies running online.

[0006] The first aspect of this utility model relates to a device for online inspection of dashboard assemblies, wherein the device includes a trigger module, an image acquisition module, an image comparison module, and an alarm module. The trigger module is configured to receive an arrival signal from the location subsystem of an industrial production system indicating that the dashboard assembly running online has reached the inspection station, and to trigger the image acquisition module based on the arrival signal. The image acquisition module includes at least three cameras configured to acquire images of different areas of the dashboard assembly to be inspected. The image comparison module is configured to compare the images acquired by the image acquisition module with a template image of the corresponding dashboard assembly to identify defects in the dashboard assembly. The alarm module is configured to activate an alarm signal when a defect is identified.

[0007] According to this invention, the device for online inspection of dashboard assemblies includes a trigger module, an image acquisition module, an image comparison module, and an alarm module that work closely together. The dashboard assembly operates online, for example, with conveyor equipment such as Automated Guided Vehicles (AGVs), Rail Guided Vehicles (RGVs), or Electrical Monorail Systems (EMS), and its operating position is monitored by the Industrial Production System Location (IPSL). The IPSL sends corresponding arrival signals to the equipment at the current workstation when a workpiece arrives at a different workstation. Here, the trigger module in the device for online inspection of the dashboard assembly receives the arrival signals and, if necessary, relevant information about the dashboard assembly from the IPSL. The trigger module then triggers the image acquisition module to acquire images. For accurate inspection of the dashboard assembly, the image acquisition module includes at least three cameras, each pointed at a different area of ​​the dashboard assembly to be inspected, to acquire high-resolution, low-distortion images of these different areas, thus providing a good image data foundation for subsequent defect identification by the image comparison module. Meanwhile, this image acquisition process can be completed in a very short time without hindering the online operation of the dashboard assembly. Next, the image comparison module compares a template image of the standard-assembled dashboard assembly with images that clearly reflect different areas of the dashboard assembly, thereby effectively identifying the differences between the dashboard assembly to be inspected and the standard-assembled dashboard assembly. This allows for accurate detection of defects in the dashboard assembly, such as missing, incorrectly assembled, and / or damaged components. Image comparison, a common task in computer vision and image processing, can be easily implemented using commercially available hardware. For example, the image comparison module can be implemented using conventional image processing hardware and existing programming techniques based on known image comparison algorithms. Exemplary defects may include damage or incorrect installation of the steering column switch center, missing horn cover, missing head-up display cover, damaged display, missing or incorrectly installed switches and knobs in the instrument cluster, missing or incorrectly installed air vent grilles along with their knobs, incorrect trim assembly, and missing headlight switches, etc. Once the image comparison module identifies a defect, the alarm module will issue an alarm signal to notify relevant personnel to handle the defect in a timely manner, thus preventing the instrument panel assembly with quality problems from being assembled into the vehicle.

[0008] The equipment according to this invention can automatically, quickly and accurately detect defects in the instrument panel assembly without affecting the operation of the vehicle assembly line, preventing defective instrument panel assemblies from entering subsequent processes, effectively improving production quality, reducing the defective product outflow rate, saving rework time and costs caused by quality problems, and thereby improving production efficiency.

[0009] It should be noted that the various modules in the device for online inspection of dashboard assemblies can also be integrated. In particular, the image acquisition module and the image comparison module can be integrated, for example, configured as a smart camera, especially a camera with an artificial intelligence chip (such as a CPU, GPU, ASIC, DSP, or FPGA hardware chip). The artificial intelligence chip can, for example, use programming methods known in the prior art to implement image recognition functions based on machine learning, neural networks, etc. Particularly advantageously, the image of the dashboard assembly acquired by the image acquisition module can be transmitted to the artificial intelligence chip for image comparison processing and image recognition processing. Here, the processor can use known image comparison processing and image recognition algorithms, such as edge extraction algorithms, to analyze whether there are contours, scratches, cracks, etc., of corresponding components in the acquired image. In addition, for example, to adapt to different lighting conditions, image preprocessing, such as noise reduction, contrast enhancement, geometric correction, and foreground target extraction, can be implemented for more targeted defect identification.

[0010] According to one embodiment of this utility model, at least three cameras can be arranged at intervals along the longitudinal direction of the instrument panel assembly in front of the front of the instrument panel assembly. Since the various components of the instrument panel assembly are distributed along its entire longitudinal length, in order to accurately detect the corresponding narrow acquisition areas, the at least three cameras are spaced apart from each other along this longitudinal direction, so as to be respectively aimed at different areas of interest of the instrument panel assembly, particularly the left, middle, and right ends. This effectively reduces the distortion of lines and contours caused by barrel distortion at the periphery of the image from camera lenses, especially wide-angle lenses, and restores the true details of the instrument panel assembly in the image as much as possible. Here, the longitudinal direction of the instrument panel assembly should be understood as the lateral direction of the vehicle, and the front of the instrument panel assembly should be understood as the side of the instrument panel assembly installed in the vehicle's cockpit facing the driver and front passenger.

[0011] According to one embodiment of this invention, the at least three cameras can be mounted on a straight guide rail, or the at least three cameras can be mounted on an arc-shaped guide rail. Here, the arrangement of the cameras on a straight guide rail is advantageous for inspecting regularly shaped dashboard assemblies. Regular shape here refers to the dashboard assembly having a configuration that substantially follows a prism shape, and the components of interest being substantially located on the same plane. However, vehicle designs are constantly evolving, and streamlined designs are increasingly favored by users. In such dashboard assemblies, the two ends of the dashboard assembly are rearwardly offset relative to the middle, and the components mounted on the dashboard assembly are also distributed in different planes, offset forward and backward, following the streamlined direction. To better inspect streamlined dashboard assemblies, the at least three cameras can be mounted on an arc-shaped guide rail, thereby aligning each camera forward with different areas of the streamlined dashboard assembly and, in particular, maintaining substantially the same distance from the area to be inspected. Particularly preferably, the arc-shaped guide rail can be configured as an arc of at least 120 degrees around the streamlined dashboard assembly to be inspected (i.e., with its center as the center). Here, the curved guide rails constructed in this way can better match the orientation of the streamlined dashboard assembly.

[0012] According to a particularly preferred embodiment of this invention, the at least three cameras may each be equipped with a motor for driving the camera to move along the guide rail. Taking into account possible positioning errors, positional offsets, longitudinal length differences, etc., of the instrument panel assembly to be inspected, moving the cameras along the guide rail can correspondingly compensate for these positioning errors, positional offsets, and / or longitudinal length differences. Here, the camera mobility can be achieved by means of motors, thereby enabling rapid adjustment of their respective positions to adapt to the varying states of the object to be inspected.

[0013] According to one embodiment of this utility model, the device may further include an image processing module, which is configured to stitch and / or fuse images acquired by the at least three cameras into a panoramic image. Here, to facilitate image comparison, upstream of the image comparison module, the image processing module can stitch and / or fuse multiple images acquired by different cameras. In this way, the image comparison module only needs to perform a one-to-one comparison and recognition between the panoramic image and a template image of the same panoramic view. This not only avoids matching failures and misjudgments caused by misaligned image positions but also facilitates the detection of components located on the boundaries of a single image. Simultaneously, it saves processing time and improves detection efficiency. Furthermore, the panoramic image can be stored and labeled more intuitively, facilitating subsequent quality traceability.

[0014] According to one embodiment of this utility model, the alarm module may include an alarm signal transmitting device and / or an alarm signal prompting device located at the inspection station. The alarm signal prompting device may be configured to visually and / or audibly indicate a defect in the instrument panel assembly. The alarm signal transmitting device may be configured to send an alarm signal to a personal portable device and / or the quality subsystem of the industrial production system. Here, the alarm signal prompting device located at the inspection station can alert relevant personnel on-site via sound and light. The alarm signal transmitting device can remotely report the alarm signal to the personal portable device of relevant personnel. Alternatively or additionally, the alarm signal transmitting device may also feed back the alarm signal to the industrial production system's quality subsystem (IPSQ) to systematically monitor the handling of instrument panel assemblies with quality problems.

[0015] According to one embodiment of this utility model, the device may further include a radar positioning module, which can be configured to detect the position of the instrument panel assembly to be inspected; and / or the device may further include an identification reading module, which is configured to read the identification of the instrument panel assembly from the instrument panel assembly to be inspected and / or from the position subsystem of the industrial production system. Here, for more accurate image acquisition, a radar positioning module, particularly a MEMS lidar, can be used to locate the instrument panel assembly to be inspected. For example, the spatial coordinates of the instrument panel assembly can be accurately determined by radar imaging, and the position and / or focal length of each camera can be adjusted according to these spatial coordinates to acquire images with precise location and high definition. Alternatively, the above-mentioned positioning can also be performed by an inertial measurement unit configured for the conveying equipment or the instrument panel assembly. Furthermore, to accurately associate the acquired images and detection results with the corresponding instrument panel assembly, an identification reading module can be used to read the identification of the instrument panel assembly. Here, the identification reading module can be configured as an optical scanner, RFID reader, etc., to read the unique identification representing the instrument panel assembly. The identifier could be, for example, a Vehicle Identification Number (VIN) displayed on the dashboard assembly. Alternatively, the identifier could be obtained from the location subsystem of an industrial production system along with the arrival signal.

[0016] According to one embodiment of this invention, the device further includes a template image database. The image comparison module retrieves a template image corresponding to the instrument panel assembly to be inspected from the template image database based on the identifier read by the identifier reading module. Due to the increasing use of mixed-line production in modern vehicle manufacturing, different instrument panel assemblies are assembled and transported on the same vehicle assembly line. Therefore, the equipment for online inspection of instrument panel assemblies also needs to inspect instrument panel assemblies of different models and / or differentiated configurations. For this purpose, the device can have a built-in template image database storing template images of instrument panel assemblies of different models and / or differentiated configurations. To accurately perform image comparison, the corresponding model and configuration can be determined based on the identifier read by the identifier reading module, and the corresponding template image can be retrieved from the template image database for targeted inspection. This complex and easily overlooked task is difficult to handle manually, but can be completed automatically, quickly, and accurately using the device according to this invention.

[0017] Another aspect of this utility model relates to a vehicle assembly line, wherein the assembly line includes equipment according to this utility model for online testing of instrument panel assemblies.

[0018] It should be noted that the features, functions, effects, and advantages of one aspect of this utility model can also be referred to the above description of another aspect of this utility model. Furthermore, the various aspects described in this utility model can be combined with each other in various ways.

[0019] Other features of this invention are derived from the accompanying drawings and the detailed description. All features and combinations thereof mentioned above in the specification, as well as features and combinations thereof mentioned below in the detailed description and / or shown separately in the drawings, can be used not only in the corresponding combinations given, but also in other combinations, or in their individual states. Attached Figure Description

[0020] Figure 1 This is a schematic block diagram of a device for online testing of dashboard assemblies according to an embodiment of the present invention;

[0021] Figure 2 This is an example of a dashboard assembly to be tested;

[0022] Figure 3 This is a top view schematic diagram of an exemplary arrangement structure of an image acquisition module in a device for online testing of an instrument panel assembly according to the present invention;

[0023] Figure 4 This is a top view schematic diagram of another exemplary arrangement of the image acquisition module in the device for online testing of the dashboard assembly according to the present invention;

[0024] Figure 5 This is a schematic block diagram of an apparatus for online testing of a dashboard assembly according to another embodiment of the present invention. Detailed Implementation

[0025] First, it should be noted that in different embodiments, the same components are essentially referred to by the same reference numerals or the same component names. In the various figures, in order to facilitate understanding of the arrangement and connection relationships of the device according to this utility model, the various components are not shown to scale and / or enlarged and / or reduced.

[0026] Figure 1 A schematic block diagram of an apparatus for online testing of a dashboard assembly according to an embodiment of the present invention is shown. Figure 1 The device 100 for online inspection of dashboard assemblies includes a trigger module 1, an image acquisition module 2, an image comparison module 3, and an alarm module 4. The trigger module 1 is configured to receive an arrival signal from the Industrial Production System's Position Subsystem (IPSL) indicating that the dashboard assembly 5 operating online has reached the inspection station, and trigger the image acquisition module 2 based on the arrival signal. The image acquisition module 2 includes at least three cameras, specifically a first camera 21, a second camera 22, and a third camera 23, configured to acquire images of different areas of the dashboard assembly 5 to be inspected. The image comparison module 3 is configured to compare the images acquired by the image acquisition module with a template image of the corresponding dashboard assembly to identify defects in the dashboard assembly 5. The alarm module 4 is configured to activate an alarm signal when a defect is identified.

[0027] The device 100 according to this utility model can automatically, quickly and accurately detect defects in the instrument panel assembly 5 without affecting the operation of the vehicle assembly line, preventing defective instrument panel assemblies from entering subsequent processes, effectively improving production quality, reducing the defective product outflow rate, saving rework time and costs caused by quality problems, and thereby improving production efficiency.

[0028] Figure 2 An exemplary dashboard assembly 5 to be tested is shown. Here, Figure 2The front of the instrument panel assembly 5 is shown, with the width of the diagram corresponding to the longitudinal direction L of the instrument panel assembly 5. Key components of the instrument panel assembly 5 are marked: steering column switch center 51, used for installing the steering wheel and connecting its control switch in a later process; display 52; horn cover 53; head-up display cover 54; air vent grille 55 with its knobs; switches and knobs 56 in the instrument cluster; trim strip 57; and headlight switch 58. These components, as the main areas of interest of the device 100, can be fully covered by the fields of view of the at least three cameras. Therefore, the image acquisition module 2 can acquire images of these different areas with high definition and low distortion, providing a good image data foundation for subsequent defect identification. Thus, the image comparison module 3 can detect differences between the instrument panel assembly 5 to be inspected and a standard-assembled instrument panel assembly through image detection, thereby accurately identifying possible defects such as missing, incorrectly installed, and / or damaged components.

[0029] Figure 3 This diagram shows a top view of an exemplary arrangement of an image acquisition module in an apparatus for online inspection of a dashboard assembly according to the present invention. Here, the dashboard assembly 5 to be inspected is placed on a conveyor 6, such as an automated guided vehicle (AGV) or a rail-guided vehicle (RGV), by means of which the dashboard assembly 5 moves along the vehicle assembly line in the direction of travel indicated by arrow P. The dashboard assembly 5 to be inspected is held on the conveyor 6 by a holding device 61 provided on the conveyor 6. When the dashboard assembly 5 arrives at the inspection station shown, the trigger module 1 receives an arrival signal from the position subsystem (IPSL) of the industrial production system and triggers the image acquisition module 2, i.e., each camera, to acquire images based on the arrival signal.

[0030] like Figure 3 As shown, the at least three cameras of the image acquisition module 2, namely the first camera 21, the second camera 22, the third camera 23, and the fourth camera 24, can be arranged at intervals along the longitudinal direction L of the instrument panel assembly 5 in front of the instrument panel assembly 5. Each of these cameras is directly facing a different area of ​​interest on the instrument panel assembly 5. This effectively reduces the distortion of lines and contours caused by barrel distortion at the periphery of the image from camera lenses, especially wide-angle lenses, and restores the true details of the instrument panel assembly 5 in the image as much as possible.

[0031] exist Figure 3 The diagram also specifically shows that the at least three cameras, here designated as first camera 21, second camera 22, third camera 23, and fourth camera 24, are mounted on a straight guide rail 7. The arrangement of the cameras on the straight guide rail facilitates the inspection of regularly shaped dashboard assemblies. Figure 3The shape rule, represented schematically by a rectangle, refers to the fact that the dashboard assembly 5 has a configuration that basically follows a prism shape and that the various components of interest are basically located on the same plane.

[0032] Figure 4 This is a top view schematic diagram showing another exemplary arrangement of the image acquisition module in the device for online inspection of a dashboard assembly according to the present invention. Here, the dashboard assembly 5 can also be held on the conveying device 6 by means of the holding device 61 and run online via the conveying device 6 in the direction indicated by arrow P. Figure 4 and Figure 3 The difference is Figure 4 The diagram shows a streamlined dashboard assembly 5'. In this streamlined dashboard assembly 5', the two ends are offset rearward relative to the middle, and the components mounted on the dashboard assembly 5' are also distributed in different planes with a front-to-back offset following the streamlined orientation. To better inspect the streamlined dashboard assembly 5', at least three cameras, here a first camera 21, a second camera 22, and a third camera 23, can be mounted on an arc-shaped guide rail 7', thereby aligning each camera forward with different areas of the streamlined dashboard assembly 5' and, in particular, maintaining substantially the same distance from the area to be inspected. Particularly preferably, the arc-shaped guide rail 7' can be configured as an arc of at least 120 degrees around the streamlined dashboard assembly 5' to be inspected (i.e., with its center as the center). Here, the arc-shaped guide rail configured in this way can better match the orientation of the streamlined dashboard assembly 5'.

[0033] Considering the possible positioning errors, positional offsets, and longitudinal length differences of the instrument panel assembly 5 to be inspected, the at least three cameras (i.e., the first camera 21, the second camera 22, the third camera 23, and the fourth camera 24) are particularly preferably each equipped with a motor (not shown) for driving the camera to move along the guide rail. By moving the cameras along the guide rail, positioning errors, positional offsets, and / or longitudinal length differences can be compensated accordingly. The camera mobility can be achieved here by means of motors, thereby allowing for rapid adjustment of their respective positions to adapt to the varying states of the object to be inspected.

[0034] Figure 5 A schematic block diagram of an apparatus for online testing of a dashboard assembly according to another embodiment of the present invention is shown. (Attached) Figure 1 The embodiment shown, Figure 5 The device 100 may additionally include an identifier reading module 8, an image processing module 9, a template image database 10, and a radar positioning module 12. These modules are described in detail below.

[0035] The identification reading module 8 can be configured as, for example, an optical scanner or an RFID reader, to read the identification of the instrument panel assembly 5 from the instrument panel assembly 5 to be inspected. Alternatively, the identification reading module 8 can also read the identification of the instrument panel assembly 5 from the location subsystem (IPSL) of an industrial production system. Here, the read identification can be, for example, a vehicle identification number (VIN) set on the instrument panel assembly. By means of this identification, the acquired image, along with its inspection results, can be accurately associated with the corresponding instrument panel assembly for subsequent quality traceability, etc.

[0036] To further improve the positional accuracy of image acquisition, the device 100 can also use a radar positioning module 12, particularly a MEMS lidar, to position the instrument panel assembly 5 to be inspected. Here, for example, the spatial coordinates of the instrument panel assembly 5 can be accurately determined using radar imaging. The position and / or focal length of each camera can be adjusted based on these spatial coordinates, thereby acquiring images with precise positional accuracy and high definition. Alternatively, the aforementioned positioning can also be performed using an inertial measurement unit configured for the conveying device 6 or the instrument panel assembly 5.

[0037] Furthermore, the image processing module 9 of the device 100 can be used to stitch and / or fuse images acquired by the at least three cameras into a single panoramic image. Here, to facilitate image comparison, upstream of the image comparison module 3, the image processing module 9 can stitch and / or fuse multiple images acquired by different cameras. In this way, the image comparison module 3 only needs to perform a one-to-one comparison and recognition between the panoramic image and a template image of the same panoramic view. This not only avoids matching failures and misjudgments caused by misaligned image positions but also facilitates the detection of components located on the boundaries of a single image. Simultaneously, it saves processing time and improves detection efficiency.

[0038] Furthermore, to better suit mixed-line production, the equipment 100 can also be equipped with a template image database 10. The image comparison module 3 retrieves the template image corresponding to the instrument panel assembly 5 to be inspected from the template image database 10 based on the identifier read by the identifier reading module 8. Thus, the same equipment 100 can be used to perform targeted inspections of instrument panel assemblies 5 for different vehicle models and / or differentiated configurations.

[0039] exist Figure 5The alarm module 4 shown may include an alarm signal transmitting device 42 and an alarm signal prompting device 41 located at the inspection station. The alarm signal prompting device 41 can alert relevant personnel on-site via sound and light; while the alarm signal transmitting device 42 can remotely report the alarm signal to relevant personnel's personal portable devices 11, such as mobile phones, smartwatches, tablets, and laptops. Alternatively or additionally, the alarm signal transmitting device 42 can also feed the alarm signal back to the industrial production system's quality subsystem IPSQ to systematically monitor the handling of instrument panel assemblies with quality problems, such as automatically transporting the instrument panel assembly to the rework station during subsequent operation of the conveyor equipment 6.

[0040] This invention is not limited to the embodiments shown, but includes or extends to all technical equivalents that fall within the scope of the appended claims. The positional descriptions chosen in the specification, such as, for example, top, bottom, left, right, etc., refer to the direct description and the accompanying drawings, and can be adapted to new positions according to their meaning when the positions change.

[0041] The features disclosed in this application are important for the implementation of embodiments in different design aspects, not only individually but also in any combination.

[0042] Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make possible changes and modifications to the technical solution of the present invention by utilizing the methods and techniques disclosed above without departing from the spirit and scope of the present invention. Therefore, any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall fall within the protection scope of the technical solution of the present invention.

Claims

1. A device for online testing of dashboard assemblies, characterized in that, The device (100) includes a trigger module (1), an image acquisition module (2), an image comparison module (3), and an alarm module (4). The triggering module (1) is configured to receive an arrival signal from the position subsystem (IPSL) of the industrial production system when the instrument panel assembly (5) running on the line reaches the detection station and trigger the image acquisition module (2) based on the arrival signal. The image acquisition module (2) includes at least three cameras, which are configured to acquire images of different areas of the dashboard assembly (5) to be inspected; The image comparison module (3) is configured to compare the image acquired by the image acquisition module (2) with the template image of the corresponding dashboard assembly to identify defects in the dashboard assembly (5); and The alarm module (4) is configured to activate an alarm signal when a defect is detected.

2. The device according to claim 1, characterized in that, The at least three cameras are arranged at a distance from each other along the longitudinal direction (L) of the instrument panel assembly (5) on the front of the instrument panel assembly (5).

3. The device according to claim 2, characterized in that, The at least three cameras are mounted on a straight guide rail (7), or the at least three cameras are mounted on an arc-shaped guide rail (7').

4. The device according to claim 3, characterized in that, The arc-shaped guide rail (7') is configured as an arc of at least 120 degrees around the instrument panel assembly (5) to be tested.

5. The device according to claim 3 or 4, characterized in that, Each of the at least three cameras is equipped with a motor for driving the camera to move along the guide rail.

6. The device according to any one of claims 1 to 4, characterized in that, The device also includes an image processing module (9) configured to stitch and / or fuse images acquired by the at least three cameras into a panoramic image.

7. The device according to any one of claims 1 to 4, characterized in that, The alarm module (4) includes an alarm signal transmitting device (42) and / or an alarm signal prompting device (41) located at the inspection station, wherein the alarm signal prompting device (41) is configured to visually and / or audibly indicate that there is a defect in the instrument panel assembly; the alarm signal transmitting device (42) is configured to send an alarm signal to a personal portable device (11) and / or the quality subsystem (IPSQ) of the industrial production system.

8. The device according to any one of claims 1 to 4, characterized in that, The device (100) further includes a radar positioning module (12) configured to detect the position of the instrument panel assembly (5) to be inspected; and / or the device (100) further includes an identification reading module (8) configured to read the identification of the instrument panel assembly (5) from the instrument panel assembly (5) to be inspected and / or from the location subsystem (IPSL) of the industrial production system.

9. The device according to claim 8, characterized in that, The device also includes a template image database (10), and the image comparison module (3) retrieves a template image corresponding to the dashboard assembly (5) to be detected from the template image database (10) based on the identifier read by the identifier reading module (8).

10. A vehicle assembly line, characterized in that, The vehicle assembly line includes equipment for online testing of instrument panel assemblies as described in any one of claims 1 to 9.

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