Research on the Safety Judgment of Cuplok Scaffolding Based on the Principle of Image Recognition

Due to their technical complexity, multi-step procedures, and low efficiency, traditional monitoring techniques have struggled to meet the rapid development of safety management on construction sites in assessing the safety of cuplok scaffolding. Therefore, this study applied image recognition technology to the safety monitoring of cuplok scaffold systems. A recognition model for identifying member shapes in images of cuplok scaffolds was proposed. Combined with a judgment criterion established based on the energy method, the safety state of the scaffold system was evaluated, ultimately forming an image recognition-based technique for detecting the safety performance of cuplok scaffolds. Experimental studies on a reduced-scale model demonstrated that the proposed method achieved an accuracy and efficiency of 80% in both recognition and judgment. The results indicated that this method enables rapid and efficient safety performance monitoring of cuplok scaffolding, holding significant practical implications for improving monitoring efficiency.