Study of the influence of optical measurement of slope geometry in the working chamber for AISI 316L

Method and Application of Spraying Developer Defect Detection in Three-Dimensional Optical Scanning Measurement Process Based on YOLO v7

“…Three-dimensional (3D) optical scanning has emerged as a prominent measurement technique in various fields, experiencing rapid development over the past decade [1][2][3][4][5][6]. Compared to touch probe CMM systems, 3D optical scanning systems offer advantages of high efficiency and quality, particularly in accurately measuring complex shapes [7][8][9]. These systems find applications in diverse industries such as automotive, medical, architecture, and historic preservation.…”

“…They exhibit reduced sensitivity to operator influence [12,14,15]. However, several factors can still impact the quality of point cloud data, and the presence of defects in the data can adversely affect subsequent data processing [7,[16][17][18]. These factors can be attributed to both internal and external influences on the scanning process.…”

“…Among the external factors, controlling the surface characteristics of the scanned objects presents a particular challenge. The surface properties determine the reflection behavior after laser illumination, which has a substantial impact on the quality of the acquired data [7,9,20]. To achieve high-quality reflected light, researchers have explored methods such as utilizing diffuse reflection from the surface or employing specific filters on CCD sensors [20,21].…”

“…In such cases, the optical system is calibrated based on factors such as laser power and exposure time to acquire accurate point cloud data. However, it is crucial to note that defects generated on the surface during the spray developer application process can significantly affect the accuracy and integrity of the threedimensional scanning data construction for the product [7,9,23]. Section 2.1.2 of this paper will provide a detailed explanation of the impact mechanism of spray defects on data construction.…”

“…Section 2.1.2 of this paper will provide a detailed explanation of the impact mechanism of spray defects on data construction. Currently, the detection of spray developer defects relies mainly on manual visual observation, and the quality of the point cloud data obtained from three-dimensional optical scanning is dependent on the skills and expertise of the spray application operator [7,12,19]. The process of detecting spray developer defects is time-consuming, labor-intensive, and lacks a standardized approach, leading to uncertainties in the subsequent three-dimensional scanning measurement results.…”