Standard Assembly Action Sequence Detection Dataset

The current industrial sector faces issues of labor costs and efficiency in the assembly process, especially on production lines with high precision requirements; monitoring standard actions is crucial. However, existing monitoring systems often rely on manual inspection, prone to omissions and errors. This dataset aims to solve the action consistency issue by providing detection videos of standard assembly actions, improving the automation and intelligence levels of the production line. The data collection uses high-resolution camera equipment in a standardized production environment to ensure video quality. During data processing, multiple rounds of annotation and expert review are implemented to ensure high-quality data. The data is stored in MP4 format with clear organization, facilitating subsequent analysis and use. The core advantage of this dataset lies in the high precision and consistency of annotations, with expert reviews ensuring an annotation error rate below 1%. Additionally, innovative action detection algorithms improve detection speed by 30%. This dataset can be widely applied in the smart manufacturing field, significantly enhancing production efficiency and quality control capability.