Machine Vision Automation Defect Detection Solution for Anchor Plate Tooth Surface
Project Background In modern society, the quality and safety of construction projects are increasingly valued by both the government and individuals. Quality and safety are the bottom line of construction projects, as they are closely related to the property and life safety of the nation and its people. An anchor is a permanent anchoring device used in prestressed concrete, and it is an indispensable product in modern construction, mainly used in infrastructure such as highway bridges, railway bridges, urban interchanges, cable-stayed bridges, and suspension bridges. Prestressed anchors mainly consist of anchor plates, clamps, pads, and tendons. Clamps, as key components of clamp-type prestressed anchoring systems, directly affect the establishment of effective prestress in structures and are crucial for construction safety. Currently, defect detection on the tooth surface of anchor plate clamps is mainly done manually. Manual inspection is unstable, inefficient, and difficult to meet the requirements of high-speed automated production. Machine vision, as a non-contact detection method, offers advantages of efficiency and repeatability and can compensate for the shortcomings of manual inspection.
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