Optimized vision inspection system and method for workpiece surface observation based on profile enhancement

Abstract

The application provides a workpiece surface observation optimization visual detection system based on profile enhancement, relates to the technical field of optical detection, and comprises an optical imaging module, a mechanical control module and a decision feedback visualization module, the decision feedback visualization module comprises a dynamic optimization system and a digital twin board, the optical imaging module and the mechanical control module are mounted on the surface of a visual detection device, the visual detection device comprises a base, a profile verification mechanism, a locking mechanism and a switching mechanism, a stand is welded to the top end of the base, the profile verification mechanism is driven to operate by a top shaft movement system, and is moved along a profile path obtained through scanning to achieve the purpose of verification, so that the edge profile result of visual recognition detection is verified, and the reliability of final data is improved, and the edge profile result of visual recognition detection is verified through the operation of the profile verification mechanism, and the reliability of final data is improved.

Description

Technical Field

[0001] This invention relates to the field of optical inspection technology, specifically to a visual inspection system and method for workpiece surface observation optimization based on contour enhancement. Background Technology

[0002] Visual inspection technology for rectangular sheet metal workpieces is an automated inspection method based on computer vision and image processing. It is primarily used in industrial manufacturing for the rapid identification and assessment of quality issues such as surface defects, scratches, stains, and dimensional deviations. This technology acquires workpiece surface images using a high-resolution camera or optical sensor, and then analyzes image features using algorithms (such as edge detection, template matching, and deep learning) to achieve high-precision, non-contact, real-time inspection. Its advantages include high efficiency, strong repeatability, and adaptability to complex environments (such as high-temperature, high-speed production lines). It is widely used in quality control processes in industries such as automotive, electronics, and semiconductors, significantly improving production yield and reducing labor costs.

[0003] In existing technologies for visual inspection of rectangular sheet metal workpieces, near-infrared industrial cameras are typically used to acquire multi-angle images of the workpiece surface. Digital models are then generated by simultaneously recording polarization or multispectral data. However, this approach is more prone to errors at the contour edges, resulting in unclear edge positions. Furthermore, since the sides also need to be inspected, frequent adjustments to the fixed angles of the rectangular sheet metal workpiece are required, making the inspection process cumbersome. Summary of the Invention

[0004] To address the shortcomings of existing technologies, the present invention aims to provide a workpiece surface observation optimization visual inspection system and method based on contour enhancement, thereby solving the problems mentioned in the background art. The present invention uses a top-mounted tilt-shifting system to drive the contour verification mechanism, which moves along the contour path obtained by human scanning to achieve the verification purpose. This verifies the edge contour results of visual recognition detection, improving the reliability of the final data.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a contour-enhanced workpiece surface observation optimization visual inspection system, comprising an optical imaging module, a mechanical control module, and a decision feedback visualization module. The decision feedback visualization module includes a dynamic optimization system and a digital twin dashboard. The digital twin dashboard is constructed using the Unity3D engine and is used to display contour defect heatmaps and three-dimensional deviation chromatograms in real time. The dynamic optimization system uses a Bayesian network for false detection analysis and adjusts the detection threshold in real time. Both the optical imaging module and the mechanical control module are mounted on the surface of the visual inspection equipment. The visual inspection equipment includes a base, a contour verification mechanism, a locking mechanism, and a switching mechanism. A column is welded to the top of the base, a tilting system is welded to the top of the column, a contour verification mechanism is installed in the middle of the tilting system, a locking mechanism is welded to the side of the column, a switching mechanism is inserted into the surface of the locking mechanism, a back plate is welded to the rear of the column, a near-infrared industrial camera is screwed onto the surface of the back plate, and a traction mechanism is connected to the bottom of the contour verification mechanism.

[0006] Furthermore, the contour verification mechanism includes an extension plate, a first motor, and a traction mechanism. The extension plate is screwed onto the shift axis system, and a groove is formed on the surface of the extension plate. One end of the traction mechanism passes through the inside of the groove. The first motor is screwed onto the surface of the extension plate, and a first drive shaft is inserted into the output end of the first motor.

[0007] Furthermore, a turntable is installed at the end of the first drive shaft, and a slot is provided at the bottom of the turntable. The traction mechanism includes a ranging module, a transmission rod, and a lower hanging rod. A docking sleeve is fitted on the top of the ranging module, and the transmission rod is integrally formed on the surface of the docking sleeve.

[0008] Furthermore, the top of the ranging module is fitted with a docking bearing, which is embedded in the slot. The other end of the transmission rod is welded to the lower hanging rod. A limit chuck is installed at the top of the lower hanging rod and presses against the surface of the extension plate.

[0009] Furthermore, the switching mechanism includes a support arm, a flip plate, a second motor, and a fixed platform. One end of the support arm is welded with a flip plate, and the other end of the support arm is screwed with a second motor. A locking pin is inserted into the surface of the flip plate, and a protruding plate is screwed to the end of the locking pin, which also has a threaded hole.

[0010] Furthermore, a laser scanner is screwed to the top of the support arm, a second drive shaft is inserted into the output end of the second motor, a first magnetic plate is embedded in the surface of the second drive shaft, a second magnetic plate is installed at the end of the surface of the support arm, a fixed platform is provided at the top of the second drive shaft, and four suction cups are installed on the surface of the fixed platform.

[0011] Furthermore, the locking mechanism includes a horizontal fixing plate and a vertical fixing plate. The bottom of the horizontal fixing plate is provided with a horizontal locking groove, and the side of the vertical fixing plate is provided with a vertical locking groove. Locking screws are inserted into both the horizontal locking groove and the vertical locking groove.

[0012] Furthermore, the horizontal fixing plate and the vertical fixing plate are integrally formed, and the two ends of the horizontal fixing plate are welded to the surface of the column. A rotating latch is installed on the surface of the horizontal fixing plate, one end of the flip plate is connected to the latch, and the end of the locking screw is used to be embedded into the surface of the locking column.

[0013] A detection method using the above-mentioned detection system includes the following steps:

[0014] S1. Multimodal image acquisition is performed using a near-infrared industrial camera. Adaptive median filtering is used to eliminate salt-and-pepper noise and enhance the contrast of weak texture areas, thus constructing a high-quality image base for contour extraction.

[0015] S2. Verify the edge contour offset parameters using visual inspection equipment;

[0016] S3. Flip the workpiece to achieve a vertical state and collect the workpiece thickness information;

[0017] S4. Three-dimensional topography reconstruction and distortion correction: Reconstruct the three-dimensional point cloud model of the workpiece by fusing multi-view data through point cloud registration;

[0018] S5. Defect feature quantitative analysis: Automatically detects burrs, dents, and dimensional defects out of tolerance through a preset geometric dimension and tolerance rule library, and generates a quantitative report;

[0019] S6. Dynamic optimization and decision feedback: dynamically adjust edge detection thresholds, lighting parameters, and judgment rules based on production line yield data.

[0020] Furthermore, in step S2, the edge contour position of the image acquired by S1 is used to drive the contour verification mechanism to move along the edge contour using a tilt-shifting system. During the movement, the ranging module is continuously rotated to obtain the change ratio period of two different sets of distance data, which is used to verify whether the edge contour position is correct. In step S3, the workpiece is flipped by manipulating the switching mechanism, and the state after flipping is locked by the locking mechanism. The contour verification mechanism is simultaneously controlled to check the thickness and straightness of the workpiece side.

[0021] The beneficial effects of this invention are:

[0022] 1. This invention uses a switching mechanism to adsorb and support the workpiece under test. After performing near-infrared recognition scanning on the surface of rectangular plate-type workpieces, the top-mounted axis-shifting system drives the contour verification mechanism to move along the scanned contour path to achieve the verification purpose. This verifies the edge contour results of visual recognition detection and improves the reliability of the final data.

[0023] 2. The present invention guides the ranging module by means of a top traction mechanism, and controls the ranging module to rotate at high speed by means of a first motor. The accuracy of the contour edge position obtained by visual recognition of the workpiece is determined by the change cycle of the measured distance data. At the same time, it can also ensure that the ranging module can operate stably, thereby improving the stability of the equipment operation.

[0024] 3. The present invention realizes the switching process of horizontal and vertical placement of rectangular plate workpieces to be tested through the switching mechanism at the bottom, and can lock the angle of the workpiece with the help of the locking mechanism after the switching is completed. Through this structure, in conjunction with the contour inspection mechanism at the top, the thickness of the workpiece can also be detected. Attached Figure Description

[0025] Figure 1 This is a flowchart of the workpiece surface observation optimization visual inspection method based on contour enhancement according to the present invention;

[0026] Figure 2 This is a block diagram illustrating the principle of the workpiece surface observation optimization vision inspection system based on contour enhancement according to the present invention.

[0027] Figure 3 This is a structural diagram of the workpiece surface visual inspection equipment of the present invention;

[0028] Figure 4 This is a schematic diagram of the contour verification mechanism of the present invention;

[0029] Figure 5 This is a schematic diagram of the turntable portion of the present invention;

[0030] Figure 6 This is a schematic diagram of the traction mechanism of the present invention;

[0031] Figure 7 This is a schematic diagram of the switching mechanism of the present invention;

[0032] Figure 8 This is a schematic diagram of the magnetic attraction structure of the present invention;

[0033] Figure 9 This is a schematic diagram of the locking mechanism of the present invention;

[0034] In the diagram: 1. Base; 2. Column; 3. Shifting axis system; 4. Back plate; 5. Near-infrared industrial camera; 6. Contour verification mechanism; 7. Locking mechanism; 8. Switching mechanism; 9. Extension plate; 10. Slide groove; 11. First motor; 12. First drive shaft; 13. Turntable; 14. Traction mechanism; 15. Slot; 16. Distance measuring module; 17. Docking sleeve; 18. Support bearing; 19. Transmission rod; 20. Lower hanging rod; 21. Limit chuck; 22. Support arm; 23. Laser scanner; 24. Flip plate; 25. Locking post; 26. Protruding plate; 27. Second motor; 28. Fixed platform; 29. ​​Suction cup; 30. Second drive shaft; 31. First magnetic suction plate; 32. Second magnetic suction plate; 33. Horizontal fixed plate; 34. Rotating pin; 35. Horizontal locking groove; 36. Vertical fixed plate; 37. Vertical locking groove; 38. Locking screw. Detailed Implementation

[0035] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0036] Please see Figures 1 to 9 This invention provides the following technical solution: a workpiece surface observation optimization visual inspection system based on contour enhancement, including an optical imaging module, a mechanical control module, and a decision feedback visualization module. The decision feedback visualization module includes a dynamic optimization system and a digital twin dashboard. The digital twin dashboard is built using the Unity3D engine and is used to display contour defect heatmaps and three-dimensional deviation chromatograms in real time. The dynamic optimization system builds a Bayesian network for false detection analysis and adjusts the detection threshold in real time. The optical imaging module and the mechanical control module are both mounted on the surface of the visual inspection equipment. The visual inspection equipment includes a base 1, a contour verification mechanism 6, a locking mechanism 7, and a switching mechanism 8. A column 2 is welded to the top of the base 1, a tilting system 3 is welded to the top of the column 2, the contour verification mechanism 6 is installed in the middle of the tilting system 3, the locking mechanism 7 is welded to the side of the column 2, the switching mechanism 8 is inserted into the surface of the locking mechanism 7, a back plate 4 is welded to the rear of the column 2, a near-infrared industrial camera 5 is screwed onto the surface of the back plate 4, and a traction mechanism 14 is connected to the bottom of the contour verification mechanism 6. This vision inspection system enables the creation of three-dimensional models of rectangular sheet metal workpieces and the calculation of edge contour positions, thereby obtaining more accurate position information, thickness, and edge straightness information of the edge contours.

[0037] In operation, the workpiece to be tested is first placed horizontally on the surface of the switching mechanism 8. The workpiece is then held in place by the suction cup 29. The switching mechanism 8 is then manually rotated until the workpiece reaches a vertical position. At this point, the locking mechanism 7 is engaged. The near-infrared industrial camera 5 then performs visual inspection and 3D modeling of the workpiece surface, acquiring positional information of the workpiece's edge contour. Simultaneously, the top contour verification mechanism 6 detects the thickness and straightness of the workpiece's sides. The switching mechanism 8 is repeatedly controlled to rotate the workpiece, completing the thickness detection process on different sides. This process is repeated until the workpiece is rotated to a horizontal position. The top tilt-shifting system 3 and the bottom contour verification mechanism 6 are then activated. Based on the acquired edge contour position information, the entire contour verification mechanism 6 is moved to align with the edge position, verifying the acquired contour position dimensions. The near-infrared industrial camera 5, tilt-shifting system 3, ranging module 16, and laser scanner 23 are all existing mature technologies. This invention only protects the mechanical structure of the detection system; the aforementioned electronic equipment is not within the scope of protection of this invention. Therefore, its internal circuit structure, specifications, and other related internal details are not described here.

[0038] In this embodiment, the contour verification mechanism 6 includes an extension plate 9, a first motor 11, and a traction mechanism 14. The extension plate 9 is screwed onto the axis shifting system 3, and a groove 10 is formed on the surface of the extension plate 9. One end of the traction mechanism 14 passes through the inside of the groove 10. The first motor 11 is screwed onto the surface of the extension plate 9, and a first drive shaft 12 is inserted into the output end of the first motor 11. A turntable 13 is installed at the end of the first drive shaft 12, and a slot 15 is formed at the bottom of the turntable 13. The traction mechanism 14 includes a ranging module 16, a transmission rod 19, and a lower hanging rod 20. A docking sleeve 17 is sleeved on the top of the ranging module 16, and the transmission rod 19 is integrally formed on the surface of the docking sleeve 17. The top of the ranging module 16 is fitted with a docking bearing, which is embedded entirely into the slot 15. The other end of the transmission rod 19 is welded to the lower hanging rod 20. A limiting chuck 21 is installed at the top of the lower hanging rod 20 and presses against the surface of the extension plate 9. The ranging module 16 is guided by the top traction mechanism 14, and the ranging module 16 is rotated at high speed by the first motor 11. The accuracy of the contour edge position obtained by the visual recognition of the workpiece is determined based on the change cycle of the measured distance data. This also ensures the stable operation of the ranging module 16 and improves the stability of the equipment operation.

[0039] Specifically, after the near-infrared industrial camera 5 completes the visual recognition and detection of the workpiece's surface and contour position, the top-mounted tilt-shifting system 3 is activated, driving the contour verification mechanism 6 to move to the recognized workpiece edge position, so that the center point of the bottom turntable 13 is aligned with the measured workpiece edge contour. The tilt-shifting system 3 drives the center point of the turntable 13 to move along the workpiece contour, and the first motor 11 is activated. At this time, the bottom-mounted ranging module 16 can be driven to rotate around the center point of the turntable 13. Since the workpiece to be measured is a rectangular plate, the side should theoretically be in a straight line. When the ranging module 16 rotates around the center point of the turntable, the time it illuminates the plate surface should be the same as the time it illuminates the outside of the plate. When the contour verification mechanism 6 moves, if the time of measurement of the two distance data collected by the ranging module 16 is greater than the time of measurement of the data with a larger distance, it means that a concave problem has occurred at the contour of the plate at that position. Conversely, a protruding problem has occurred. This detection scheme can achieve a continuous high-precision detection process.

[0040] In this embodiment, the switching mechanism 8 includes a support arm 22, a flip plate 24, a second motor 27, and a fixed platform 28. The flip plate 24 is welded to one end of the support arm 22, and the second motor 27 is screwed to the bottom of the other end of the support arm 22. A locking pin 25 is inserted into the surface of the flip plate 24, and a protruding plate 26 is screwed to the end of the locking pin 25, which also has a threaded hole. A laser scanner 23 is screwed to the top of the support arm 22. A second drive shaft 30 is inserted into the output end of the second motor 27. A first magnetic suction plate 31 is embedded in the surface of the second drive shaft 30, and a second magnetic suction plate 32 is installed at the end of the surface of the support arm 22. A fixed platform 28 is provided at the top of the second drive shaft 30, and four suction cups 29 are installed on the surface of the fixed platform 28. The switching mechanism 8 at the bottom enables the switching process between horizontal and vertical placement of the workpiece to be tested. After the switching is completed, the locking mechanism 7 can be used to lock the angle of the workpiece. This structure, in conjunction with the contour inspection mechanism at the top, can also be used to detect the thickness of the workpiece.

[0041] Specifically, the suction cup 29 is used to place and fix the workpiece. By activating the second motor 27 at the bottom, the workpiece placed on the fixed platform 28 can be rotated horizontally. During the rotation, the laser scanner 23 below can perform a preliminary detection of the bottom surface of the workpiece. When the second motor 27 drives the second drive shaft 30 to rotate, four first magnetic suction plates 31 are set on the second drive shaft 30. Therefore, after the workpiece at the top is rotated by the second motor 27, it will be attracted by the second magnetic suction plate 32 and one of the first magnetic suction plates 31, so that the rotation angle can be more precisely controlled to 90° each time. After manually controlling the rotation of the locking post 25 and the protruding plate 26, the locking mechanism 7 can control the entire switching mechanism 8 to switch between horizontal and vertical states on the vertical plane, so that the entire workpiece can be displayed horizontally or vertically while maintaining the suction state. When the workpiece is in a horizontal state, the top axis shifting system 3 can drive the contour verification mechanism 6 to detect and process the edge contour of the workpiece.

[0042] In this embodiment, the locking mechanism 7 includes a horizontal fixing plate 33 and a vertical fixing plate 36. The bottom of the horizontal fixing plate 33 has a horizontal locking groove 35, and the side of the vertical fixing plate 36 has a vertical locking groove 37. Locking screws 38 are inserted into both the horizontal locking groove 35 and the vertical locking groove 37. The horizontal fixing plate 33 and the vertical fixing plate 36 are integrally formed, and both ends of the horizontal fixing plate 33 are welded to the surface of the column 2. A rotating latch 34 is installed on the surface of the horizontal fixing plate 33. One end of the flip plate 24 is connected to the latch portion, and the end of the locking screw 38 is used to embed into the surface of the locking post 25.

[0043] Specifically, by manually rotating the locking pin 25, it can be moved into the horizontal fixed locking groove and the horizontal locking groove 35. At this time, by controlling the external locking screw 38, it can pass through the horizontal fixed plate 33 and fix the locking rod stuck in the horizontal locking groove 35, thereby ensuring that the workpiece can remain stable in the subsequent edge contour verification process. Alternatively, by rotating, the locking rod can be locked in the vertical locking groove 37, which can ensure that the workpiece always remains vertical, thus achieving the locking process in the visual recognition detection state.

[0044] This embodiment also provides a detection method using the above-described detection system, including the following steps:

[0045] S1. Multimodal image acquisition is performed using a near-infrared industrial camera 5. Adaptive median filtering is used to eliminate salt-and-pepper noise and enhance the contrast of weak texture areas, thus constructing a high-quality image base for contour extraction.

[0046] S2. Use a visual inspection device to verify the edge contour offset parameters. The edge contour position of the image acquired by S1 is used to drive the contour verification mechanism 6 to move along the edge contour with the help of the tilt-shifting system 3. During the movement, the ranging module 16 is continuously rotated to obtain the change ratio period of two different distance data, which is used to verify whether the edge contour position is correct.

[0047] S3. Flip the workpiece to achieve a vertical state, collect the workpiece thickness information, drive the workpiece to flip through the control switching mechanism 8, and lock the flipped state with the help of the locking mechanism 7, and simultaneously control the contour verification mechanism 6 to check the workpiece side thickness and straightness.

[0048] S4. Three-dimensional topography reconstruction and distortion correction: Reconstruct the three-dimensional point cloud model of the workpiece by fusing multi-view data through point cloud registration;

[0049] S5. Defect feature quantitative analysis: Automatically detects burrs, dents, and dimensional defects out of tolerance through a preset geometric dimension and tolerance rule library, and generates a quantitative report;

[0050] S6. Dynamic optimization and decision feedback: dynamically adjust edge detection thresholds, lighting parameters, and judgment rules based on production line yield data.

[0051] In this method, the switching mechanism 8 is used to adsorb and support the workpiece to be tested. After the surface of the workpiece is scanned by near-infrared recognition, the top-mounted axis-shifting system 3 drives the contour verification mechanism 6 to run and move along the contour path obtained by scanning to achieve the purpose of verification. This verifies the edge contour results of visual recognition detection and improves the reliability of the final data.

[0052] The foregoing has shown and described the basic principles and main features of the present invention and its advantages. It will be apparent to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention.

[0053] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A workpiece surface observation optimization vision inspection system based on contour enhancement, characterized in that: The system includes an optical imaging module, a mechanical control module, and a decision feedback visualization module. The decision feedback visualization module comprises a dynamic optimization system and a digital twin dashboard. The digital twin dashboard, built using the Unity3D engine, displays real-time contour defect heatmaps and three-dimensional deviation chromatograms. The dynamic optimization system uses a Bayesian network for false detection analysis and adjusts the detection threshold in real-time. Both the optical imaging module and the mechanical control module are mounted on the surface of the vision inspection equipment. The vision inspection equipment includes a base, a contour verification mechanism, a locking mechanism, and a switching mechanism. A column is welded to the top of the base, and a tilting system is welded to the top of the column. The contour verification mechanism is installed in the middle of the tilting system. A locking mechanism is welded to the side of the column, and a switching mechanism is inserted into the surface of the locking mechanism. A back plate is welded to the rear of the column, and a near-infrared industrial camera is screwed onto the surface of the back plate. A traction mechanism is connected to the bottom of the contour verification mechanism. The contour verification mechanism includes an extension plate, a first motor, and a traction mechanism. The extension plate is screwed onto the tilting system, and a groove is formed on the surface of the extension plate. One end of the traction mechanism passes through the inside of the groove. The first motor is screwed onto the surface of the extension plate, and a first drive shaft is inserted into the output end of the first motor. A turntable is installed at the end of the first drive shaft, and a slot is formed at the bottom of the turntable. The traction mechanism includes a ranging module, a transmission rod, and a lower hanging rod. A docking sleeve is fitted onto the top of the ranging module, and the transmission rod is integrally formed on the surface of the docking sleeve. A docking bearing is also fitted onto the top of the ranging module, and the docking bearing is integrally embedded in the slot. The other end of the transmission rod is welded to the lower hanging rod. A limit chuck is installed at the top of the lower hanging rod, and it limits movement. The chuck presses against the surface of the extension plate; the switching mechanism includes a support arm, a flip plate, a second motor, and a fixed platform. One end of the support arm is welded with the flip plate, and the other end of the support arm is screwed with the second motor. A locking pin is inserted into the surface of the flip plate, and a protruding plate is screwed to the end of the locking pin, which also has a threaded hole. The locking mechanism includes a horizontal fixed plate and a vertical fixed plate. The bottom of the horizontal fixed plate has a horizontal locking groove, and the side of the vertical fixed plate has a vertical locking groove. Locking screws are inserted into both the horizontal and vertical locking grooves.

2. The workpiece surface observation optimization visual inspection system based on contour enhancement according to claim 1, characterized in that: A laser scanner is screwed to the top of the support arm, a second drive shaft is inserted into the output end of the second motor, a first magnetic plate is embedded in the surface of the second drive shaft, a second magnetic plate is installed at the end of the surface of the support arm, a fixed platform is provided at the top of the second drive shaft, and four suction cups are installed on the surface of the fixed platform.

3. The workpiece surface observation optimization visual inspection system based on contour enhancement according to claim 1, characterized in that: The horizontal fixing plate and the vertical fixing plate are integrally formed, and the two ends of the horizontal fixing plate are welded to the surface of the column. The surface of the horizontal fixing plate is equipped with a rotating locking pin. One end of the flip plate is connected to the locking pin. The end of the locking screw is used to be embedded into the surface of the locking column.

4. A detection method using the detection system as described in claim 1, characterized in that, Includes the following steps: S1. Multimodal image acquisition is performed using a near-infrared industrial camera. Adaptive median filtering is used to eliminate salt-and-pepper noise and enhance the contrast of weak texture areas, thus constructing a high-quality image base for contour extraction. S2. Use a visual inspection device to verify the edge contour offset parameters. The edge contour position of the image acquired by S1 is used to drive the contour verification mechanism to move along the edge contour with the help of the tilt-shifting system. During the movement, the ranging module is continuously rotated to obtain the change ratio period of two different sets of distance data, which is used to verify whether the edge contour position is correct. S3. Flip the workpiece to achieve a vertical state, collect the workpiece thickness information, drive the workpiece to flip through the control switching mechanism, and lock the flipped state with the help of the locking mechanism, and simultaneously control the contour verification mechanism to check the workpiece side thickness and straightness. S4. Three-dimensional topography reconstruction and distortion correction: Reconstruct the three-dimensional point cloud model of the workpiece by fusing multi-view data through point cloud registration; S5. Defect feature quantitative analysis: Automatically detects burrs, dents, and dimensional defects out of tolerance through a preset geometric dimension and tolerance rule library, and generates a quantitative report; S6. Dynamic optimization and decision feedback: dynamically adjust edge detection thresholds, lighting parameters, and judgment rules based on production line yield data.

Images