A machine vision-based production line automatic primer detection device
The automatic identification of the quality of the base coat on the roof radar cover by the machine vision inspection device solves the problems of missed brushing and dry brushing in the robot painting process, and improves product quality and production efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- CHENGDU FUWEI YANFENG BIO AUTOMOTIVE EXTERIOR CO LTD
- Filing Date
- 2025-01-21
- Publication Date
- 2026-06-02
AI Technical Summary
During the process of applying the primer to the radar laser cover plate on the roof by a robot, there were instances of missed areas and dry brushing, resulting in insufficient product adhesion and affecting product quality.
An automated inspection device based on machine vision is used on the production line. The device captures image information after the primer coating process using a camera, processes the image brightness value using an industrial control computer, determines whether the primer coating is qualified, and displays alarm information through an alarm mechanism to control the production line equipment to stop.
It enables automated and rapid identification of missed or broken brush strokes in the primer application area, reducing labor costs, ensuring product quality, and features a simple structure, versatility, and no impact on production cycle time.
Smart Images

Figure CN224309032U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of automotive parts manufacturing technology, and in particular to an automated production line inspection device for primer based on machine vision. Background Technology
[0002] A roof-mounted radar / laser cover typically refers to a cover or protective shield installed on the roof of a car to protect the LiDAR (Light Detection and Ranging) sensor. As a crucial sensor in automobiles, LiDAR is essential for enabling advanced intelligent driver assistance functions. The roof-mounted radar / laser cover effectively prevents external factors such as dust, rain, and dirt from corroding the LiDAR, ensuring its normal operation and extending its lifespan.
[0003] To ensure that the roof radar laser cover has stable waterproof and dustproof functions and meets the waterproof rating (IPX6) requirements before production, the product needs to be coated with a primer, sprayed with adhesive, and then pressed together.
[0004] However, during the process of applying the primer by the robot, there are instances of missed areas and dry brushing. When the primer application is incomplete or substandard, applying glue directly may result in insufficient product adhesion, affecting product quality. Utility Model Content
[0005] In view of the above problems, this utility model provides an automated production line inspection device based on machine vision for primer.
[0006] To achieve the above-mentioned objectives, the technical solution adopted by this utility model is as follows:
[0007] An automated inspection device for primer coating on a production line based on machine vision is provided. It is installed at the moving end of a primer coating robot and includes a data acquisition module, a processing module, and an alarm mechanism. The data acquisition module is connected to the input end of the processing module, and the output end of the processing module is connected to the input end of the alarm mechanism. The alarm mechanism includes a display.
[0008] The acquisition module is used to acquire images of the radar cover plate after each primer coating operation, and obtain image information of the radar cover plate.
[0009] The processing module is used to receive image information sent by the acquisition module, and when it is determined from the image information that the base coating on the radar cover plate is unqualified, it sends a warning signal to the warning mechanism.
[0010] The warning mechanism is used to respond to warning signals sent by the processing module and control the display to show warning signs.
[0011] Furthermore, the acquisition module includes a camera, which is set at the active end of the base coating robot. The camera's lens faces the radar cover plate, and the camera is used to photograph the radar cover plate to obtain image information.
[0012] Furthermore, the processing module includes an industrial control computer, which processes the image information to obtain the actual brightness value of the reflected light on the radar cover plate base in the image information. When the actual brightness value is greater than the preset brightness value set in the industrial control computer, it is determined that the base coating on the radar cover plate base is unqualified, and a warning signal is sent to the warning mechanism.
[0013] Furthermore, multiple cameras are spaced around the moving end of the base coating robot. All cameras are connected to an industrial control computer. The industrial control computer receives image information sent by multiple cameras and processes each image information in sequence. When the actual brightness value in any image information is greater than the preset brightness value, an alarm signal is sent.
[0014] Furthermore, it also includes a light source, which is set at the moving end of the base coating robot and faces the radar cover plate base. The light source is used to supplement the lighting of the radar cover plate base as captured by the camera.
[0015] Furthermore, it also includes a light source voltage regulator, which is electrically connected to the light source and is used to stabilize the current and voltage passing through the light source.
[0016] The beneficial effects of this utility model are as follows: After the primer coating robot completes the primer coating operation on the radar cover plate, the robot's movable end lifts the primer coating equipment upwards by a fixed distance. The camera located at the robot's movable end takes a picture of the radar cover plate, collecting image information. The industrial control computer receives the image information sent by the camera, increases the image contrast, and measures the brightness of the reflected light at the designated position of the primer coating in the image. If the average brightness value measured within the specified range is less than or equal to the preset brightness value in the industrial control computer, it is determined that the primer coating line segment within that range is normal, and an OK message is sent to the PLC device and displayed. The device displays an OK message and the location of the detection box in green on the image. If the average brightness value measured within the specified range is greater than the preset brightness value in the industrial control computer, it determines that the primer line segment is missed or interrupted, and sends an alarm message to the PLC device and the display. The PLC device signals to control the equipment on the production line to stop, and the display shows the alarm message and the location of the detection box in red on the image. It can automatically and quickly identify whether there are missed or interrupted primer lines on the automated production line, reducing labor costs. The equipment has a simple structure, can be applied to many scenarios, and the identification is fast and does not affect the production cycle. Attached Figure Description
[0017] Figure 1 This is a schematic diagram of the overall structure of an embodiment of this application.
[0018] Figure 2 This is a schematic diagram of the structure of the automated production line testing primer device according to an embodiment of this application.
[0019] Figure 3Schematic diagram of the logic circuit for automatic detection of the primer coating in the production line of the embodiment of the present application.
[0020] Among them, 1. Primer coating robot; 2. Camera; 3. Industrial control computer; 4. Display; 5. Light source. Detailed implementation manners
[0021] In order to better understand the above technical solutions, the above technical solutions will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.
[0022] The embodiment of the present application discloses an automatic detection primer coating device for a production line based on machine vision. Refer to Figure 1 、 Figure 2 and Figure 3 , which includes an acquisition module, a processing module, and a warning mechanism. The output end of the acquisition module is connected to the input end of the processing module, and the output end of the processing module is connected to the input end of the warning mechanism. Among them, the acquisition module can be the camera 2, the processing module can be the central control computer, and the warning mechanism can be the display 4.
[0023] The acquisition module is used to collect the image of the bottom plate of the radar cover plate after each primer coating operation, and obtain the image information of the bottom plate of the radar cover plate. The end of the primer coating operation specifically means that the primer coating robot 1 (which can be a manipulator, and a primer coating brush is installed at the movable end of the manipulator) vertically rises to a set height position upward after primer coating the bottom plate of the radar cover plate. At least a bracket for installing the primer coating brush is included at the movable end of the primer coating robot 1, the camera 2 is installed on the bracket, and the camera lens of the camera 2 faces the bottom plate of the radar cover plate below the primer coating brush.
[0024] The processing module is used to receive the image information sent by the acquisition module, and when it is determined that the primer coating on the bottom plate of the radar cover plate is unqualified according to the image information, it sends a warning signal to the warning mechanism. Among them, the processing module can be the industrial control computer 3. The industrial control computer 3 receives the image information sent by the camera 2 and processes the image information. The processing method is to increase the contrast of the image information, detect the brightness of the set primer coating area to be coated on the bottom plate of the radar cover plate, and obtain the actual brightness value of the reflected light on the bottom plate of the radar cover plate in the image information. When the actual brightness value is less than or equal to the preset brightness in the industrial control computer 3, it is determined that the primer coating on the bottom plate of the radar cover plate is qualified, the primer coating line segment is normal, the industrial control computer 3 sends an OK message to the PLC device and displays the OK message and the detection frame position in green on the display 4. When the actual brightness value is greater than the preset brightness value preset in the industrial control computer 3, it is determined that the primer coating on the bottom plate of the radar cover plate is unqualified, and a warning signal is sent to the warning mechanism.
[0025] The warning mechanism responds to warning signals sent by the processing module, controlling display 4 to show warning indicators. Specifically, display 4 shows alarm information and a red highlight on the detection frame. The warning signal also sends alarm information to the PLC device for forwarding and timely shutdown of other equipment on the production line.
[0026] Furthermore, multiple cameras 2 are spaced circumferentially along the movable end of the primer coating robot 1. Each camera 2 is electrically connected to an industrial control computer 3. The industrial control computer 3 receives image information from the multiple cameras 2 and processes each image information sequentially. When the actual brightness value in any image information exceeds a preset brightness value, an alarm signal is sent. By using multiple cameras 2 to capture images of the primer coating area on the radar cover plate from multiple angles, the accuracy of primer coating detection can be improved, as can the adhesion quality of the radar cover plate during installation.
[0027] Furthermore, it also includes a light source 5, which is set at the moving end of the base coating robot 1. The light source 5 faces the radar cover plate base and can be used to supplement the light on the radar cover plate base captured by the camera 2, thereby improving the contrast between the base coating on the radar cover plate base and the surrounding area.
[0028] Furthermore, a light source voltage regulator is also provided. The light source voltage regulator is electrically connected to the light source 5. The light source voltage regulator is used to stabilize the current and voltage passing through the light source 5, reduce the flicker of the light source 5, and improve the image acquisition effect of the camera 2.
[0029] Those skilled in the art will understand that although preferred embodiments of the present invention have been described, those skilled in the art, once they understand the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the present invention. Clearly, those skilled in the art can make various alterations and modifications to the present invention without departing from its spirit and scope. Thus, if these modifications and modifications of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention also intends to include these modifications and modifications.
Claims
1. A machine vision-based automated production line inspection device for primer coating, installed at the movable end of a primer coating robot (1), characterized in that: It includes a data acquisition module, a processing module, and an alarm mechanism. The data acquisition module is connected to the input end of the processing module, and the output end of the processing module is connected to the input end of the alarm mechanism. The alarm mechanism includes a display (4). The acquisition module is used to acquire images of the radar cover plate after each base coating operation to obtain image information of the radar cover plate. The acquisition module includes a camera (2), which is set at the active end of the base coating robot (1). The camera of the camera (2) faces the radar cover plate. The camera (2) is used to take pictures of the radar cover plate to obtain image information. Multiple cameras (2) are arranged circumferentially along the active end of the base coating robot (1). Multiple cameras (2) are all connected to an industrial control computer (3). The industrial control computer (3) receives image information sent by multiple cameras (2) and processes each image information in sequence. When the actual brightness value in any image information is greater than the preset brightness value, a warning signal is sent. The module also includes a light source (5), which is set at the active end of the base coating robot (1). The light source (5) faces the radar cover plate. The light source (5) is used to supplement the light of the radar cover plate captured by the camera (2). The processing module is used to receive image information sent by the acquisition module, and when it is determined from the image information that the base coating on the radar cover plate is unqualified, it sends a warning signal to the warning mechanism. The warning mechanism is used to respond to the warning signal sent by the processing module and control the display (4) to display the warning sign.
2. The automated production line inspection device based on machine vision according to claim 1, characterized in that, The processing module includes an industrial control computer (3). The industrial control computer (3) processes the image information to obtain the actual brightness value of the reflected light on the bottom plate of the radar cover in the image information. When the actual brightness value is greater than the preset brightness value set in the industrial control computer (3), it is determined that the base coating on the bottom plate of the radar cover is unqualified and a warning signal is sent to the warning mechanism.
3. The automated production line inspection device for primer based on machine vision according to any one of claims 1 to 2, characterized in that, It also includes a light source voltage regulator, which is electrically connected to the light source (5) and is used to stabilize the current and voltage passing through the light source (5).