Automatic detection method and equipment for surface quality of automobile seat

Abstract

The invention belongs to the field of automobile seat surface detection, and particularly relates to an automatic detection method and equipment for automobile seat surface quality, and the method comprises the following steps: after an automobile seat reaches a surface quality detection station, sending an in-place signal to a robot, and enabling the robot to carry out the photographing and precise visual positioning of the automobile seat, the robot starts a photographing function to photograph the automobile seat, the photograph is uploaded to the server, then AI software starts an AI algorithm, quality detection is carried out on the photographed image on the surface of the automobile seat, a detection result is automatically analyzed and judged, finally, the automobile seat is released to a subsequent process, and if the automobile seat is judged to be unqualified, the robot gives an alarm and stops action. And the automobile seat is conveyed to a repair area, enters the surface quality detection station again after being manually repaired, is detected and judged again, and is released to a subsequent process after being qualified. Robot AI vision is adopted, automatic surface quality detection is achieved, and the number of operators is reduced.

Description

Technical Field

[0001] The invention belongs to the field of automobile seat surface detection, and in particular relates to an automatic detection method and equipment for automobile seat surface quality. Background Art

[0002] At present, the inspection of automobile rear seats is generally carried out manually, mainly for defects such as color, wrinkles, dirt, scratches, broken or flying wires at seams, etc. Manual inspection is costly and prone to defective outflow due to subjective judgment errors, affecting customer use. Moreover, manual inspection cannot archive the data of the inspected seats, and cannot trace the quality of the inspected products. Summary of the invention

[0003] In order to solve the above problems existing in the prior art, the present invention provides an automatic detection method and equipment for the surface quality of automobile seats, which adopts robot AI vision, automatic surface quality detection and reduces the number of operators.

[0004] To achieve the above object, the present invention provides, on one hand, a method for automatically detecting the surface quality of a car seat, the method comprising the following steps: S1: When the car seat and the seat positioning tooling underneath it arrive at the surface quality inspection station along the conveyor line, a signal of arrival is sent to the robot and the model of the current car seat is sent; S2: The robot takes pictures of the car seat and accurately locates it visually; S3: The seat positioning tool automatically adjusts the position of each corner of the seat, and the robot starts the camera function to take a photo of the car seat. After taking the photo, it is uploaded to the server, and then the AI ​​software starts the AI ​​algorithm to perform quality inspection on the photos of the car seat surface; S4: After the robot detects all positions on the surface of the car seat, it automatically analyzes and determines the detection results; S5: If it is judged as "OK", the car seat is released to the subsequent process; if it is judged as "NG", the robot alarms and stops moving, and the car seat is transported to the rework area. After manual rework, it re-enters the surface quality inspection station and repeats steps 3 and 4 until it is judged as "OK" and released to the subsequent process.

[0005] Furthermore, the photo inspection of car seats can also perform flying vision tasks. The acquired pictures can be uploaded to the server through AI technology, and the surface inspection of the car seats can be carried out while the robot arm is running. At the same time, the result pictures of the inspected car seats can be archived to facilitate subsequent quality traceability.

[0006] Furthermore, the step of performing quality inspection on the photographed surface of the automobile seat specifically includes the following steps: Import correct seat pictures of various parts of car seats of different models in batches into the system; The robot retrieves the current car seat program and corresponding photos, and takes photos of the corresponding parts of the product, especially focusing on the places on the car seats that are prone to wrinkles, scratches, broken or flying stitches, foreign objects and dirt.

[0007] Furthermore, the step of automatic analysis and judgment specifically includes the following steps: Deviation values ​​are set in the system, including: color, wrinkles, scratches, broken or flying stitches, foreign matter and dirt of the car seat; Through the AI ​​algorithm, car seats within the deviation value are judged as qualified. At the same time, the pictures of qualified car seats are saved and the qualified requirements of the car seats are automatically readjusted and matched.

[0008] In another aspect, the present invention provides an automatic detection device for the surface quality of a car seat, wherein the automatic detection device is used to implement the above-mentioned automatic detection method.

[0009] Furthermore, a camera is arranged on the top of the robot.

[0010] Compared with the prior art, the beneficial effects of the present invention are: the present invention adopts robot AI visual inspection, which reduces the number of operators and reduces production costs; the AI ​​inspection technology used in the present invention can accurately identify various defects on the rear seats of the car, avoiding the outflow of defective products caused by misjudgment during manual inspection, affecting customer use; the robot of the present invention uploads the pictures taken of the car seats to the server for archiving, which is convenient for quality tracing of the inspected products. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a schematic diagram of the process of the present invention; Figure 2 It is a schematic diagram of the robot structure of the present invention. DETAILED DESCRIPTION

[0012] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0013] See also Figure 1In one aspect, the present invention provides an automatic detection method for the surface quality of a car seat, the method comprising the following steps: S1: When the car seat and the seat positioning tooling under it arrive at the surface quality inspection station along the conveyor line, a signal of arrival is sent to robot 1 and the model of the current car seat is sent; S2: Robot 1 takes a photo of the car seat and accurately locates it visually; In actual use, the robot 1 takes a picture of the positioning block on the conveyor line and then adjusts the photographing position so as to inspect the surface quality of different areas on the seat surface; S3: The seat positioning tool automatically adjusts the position of each corner of the seat. Robot 1 activates the camera function to take a photo of the car seat, which is then uploaded to the server. The AI ​​software then activates the AI ​​algorithm to perform quality inspection on the photos of the car seat surface. S4: After the robot 1 completes the detection of all positions on the surface of the car seat, it automatically analyzes and determines the detection results; S5: If it is judged as "OK", the car seat is released to the subsequent process; if it is judged as "NG", the robot 1 alarms and stops moving, and the car seat is transported to the rework area. After manual rework, it re-enters the surface quality inspection station and repeats steps 3 and 4 until it is judged as "OK" and released to the subsequent process.

[0014] Specifically, the photo inspection of car seats can also perform flying vision tasks. The acquired pictures can be uploaded to the server through AI technology, and the surface inspection of the car seats can be carried out while the robot arm is running. At the same time, the result pictures of the inspected car seats can be archived to facilitate subsequent quality tracing.

[0015] During actual use, the movement of the robot 1 arm drives the camera 2 to move, thereby taking pictures of various positions of the car seat.

[0016] Specifically, the step of performing quality inspection on the photographed image of the surface of the automobile seat includes the following steps: Import correct seat pictures of various parts of car seats of different models in batches into the system; Robot 1 retrieves the current car seat program and corresponding photos, and takes photos of the corresponding parts of the product, especially focusing on the places on the car seat that are prone to wrinkles, scratches, broken or flying stitches, foreign objects and dirt.

[0017] Specifically, the automatic analysis and judgment step includes the following steps: Deviation values ​​are set in the system, including: color, wrinkles, scratches, broken or flying stitches, foreign matter and dirt of the car seat; Through the AI ​​algorithm, car seats within the deviation value are judged as qualified. At the same time, the pictures of qualified car seats are saved and the qualified requirements of the car seats are automatically readjusted and matched.

[0018] See also Figure 2 On the other hand, the present invention provides an automatic detection device for the surface quality of automobile seats, and the automatic detection device is used to implement the above-mentioned automatic detection method.

[0019] Specifically, a camera 2 is disposed on the top of the robot 1. The camera 2 is controlled by the robot 1 to perform a photographing task, and the movement of the robot 1 will drive the camera 2 to follow the movement.

[0020] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein with equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An automatic detection method for the surface quality of automobile seats, characterized in that: The method comprises the following steps: S1: When the car seat and the seat positioning tooling thereunder arrive at the surface quality inspection station along the conveyor line, a signal indicating that the car seat has arrived at the station is sent to the robot (1) and the model of the current car seat is sent; S2: the robot (1) takes a photo of the car seat and accurately locates it visually; S3: The seat positioning tool automatically adjusts the position of each corner of the seat, and the robot (1) activates the camera function to take a photo of the car seat, which is uploaded to the server. Then, the AI ​​software activates the AI ​​algorithm to perform quality inspection on the photographed surface of the car seat; S4: After the robot (1) completes the detection of all positions on the surface of the automobile seat, it automatically analyzes and determines the detection results; S5: If the result is "OK", the car seat is released to the subsequent process; if the result is "NG", the robot (1) sounds an alarm and stops moving, and the car seat is transported to the repair area. After manual repair, the car seat is re-entered into the surface quality inspection station, and steps 3 and 4 are repeated until the result is "OK", and the car seat is released to the subsequent process.

2. The automatic detection method for the surface quality of automobile seats according to claim 1 is characterized in that: The photo inspection of the car seat can also perform a flying vision task, upload the acquired pictures to the server through AI technology, perform surface inspection of the car seat during the operation of the robot (1) arm, and archive the result pictures of the inspected car seat to facilitate subsequent quality tracing.

3. The automatic detection method for the surface quality of automobile seats according to claim 2 is characterized in that: The steps of performing quality inspection on the photographed car seat surface include the following steps: Import correct seat pictures of various parts of car seats of different models in batches into the system; The robot (1) retrieves the current car seat program and corresponding photos, and takes photos of corresponding parts of the product, especially focusing on taking photos and identifying places on the car seat that are prone to wrinkles, scratches, broken or flying stitches at seams, foreign objects, and dirt.

4. The automatic detection method for the surface quality of automobile seats according to claim 1 is characterized in that: The automatic analysis and judgment step specifically includes the following steps: Deviation values ​​are set in the system, including: color, wrinkles, scratches, broken or flying stitches, foreign matter and dirt of the car seat; Through the AI ​​algorithm, car seats within the deviation value are judged as qualified. At the same time, the pictures of qualified car seats are saved and the qualified requirements of the car seats are automatically readjusted and matched.

5. An automatic detection device for the surface quality of automobile seats, characterized in that: The automatic detection device is used to implement the automatic detection method according to any one of claims 1 to 4.

6. The automatic detection device for the surface quality of automobile seats according to claim 5, characterized in that: A camera (2) is arranged on the top of the robot (1).

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