Leveraging 3D laser profiling technology, our solution rapidly scans all four sides of the ball joint, integrating 2D imaging and 3D data for highly precise inspection. A deep learning-based 2D segmentation model first identifies potential defect areas, after which the system selectively crops only the relevant regions from the 3D data, optimizing the detection process for maximum efficiency. 

To further enhance accuracy and reliability, we incorporate plane fitting and noise reduction techniques, ensuring high data precision. Additionally, 3D-based defect classification significantly improves detection accuracy. This high-performance solution delivers both speed and precision, detecting micro defects as small as X/Y 0.4mm (@0.1mm) and Z 0.2mm (@0.05mm) in under 30 seconds.