Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan 701, Taiwan.
Department of Applied Mathematics, National Chung Hsing University, Taichung 402, Taiwan.
Sensors (Basel). 2023 Apr 13;23(8):3961. doi: 10.3390/s23083961.
Nuts are the cornerstone of human industrial construction, especially A-grade nuts that can only be used in power plants, precision instruments, aircraft, and rockets. However, the traditional nuts inspection method is to manually operate the measuring instrument for conducting an inspection, so the quality of the A-grade nut cannot be guaranteed. In this work, a machine vision-based inspection system was proposed, which performs a real-time geometric inspection of the nuts before and after tapping on the production line. In order to automatically screen out A-Grade nuts on the production line, there are 7 inspections within this proposed nut inspection system. The measurements of parallel, opposite side length, straightness, radius, roundness, concentricity, and eccentricity were proposed. To shorten the overall detection time regarding nut production, the program needed to be accurate and uncomplicated. By modifying the Hough line and Hough circle, the algorithm became faster and more suitable for nut detection. The optimized Hough line and Hough circle can be used for all measures in the testing process.
坚果是人类工业建设的基石，特别是 A 级坚果，只能用于发电厂、精密仪器、飞机和火箭。然而，传统的坚果检测方法是手动操作测量仪器进行检测，因此无法保证 A 级坚果的质量。在这项工作中，提出了一种基于机器视觉的检测系统，该系统可以在生产线上对敲击前后的坚果进行实时几何检测。为了在生产线上自动筛选出 A 级坚果，该坚果检测系统进行了 7 项检测。提出了平行、对面长度、直线度、半径、圆度、同心度和偏心度的测量方法。为了缩短坚果生产的整体检测时间，程序需要准确且不复杂。通过修改 Hough 线和 Hough 圆，算法变得更快，更适合坚果检测。优化后的 Hough 线和 Hough 圆可用于测试过程中的所有测量。
