Deep learning-based augmented reality work instruction assistance system for complex manual assembly
W Li, A Xu, M Wei, W Zuo, R Li - Journal of Manufacturing Systems, 2024 - Elsevier
The manual assembly process of complex products is lengthy, the assembly requirements
are difficult to recall, and the assembly quality requirements are high. The separation of the …
are difficult to recall, and the assembly quality requirements are high. The separation of the …
Online assembly inspection integrating lightweight hybrid neural network with positioning box matching
S Zhao, J Wang, W Li, L Lu - IEEE Access, 2023 - ieeexplore.ieee.org
Assembly inspection methods have been widely used in the process of mechanical product
assembly for quality issues. However, some challenges remain to be solved, such as low …
assembly for quality issues. However, some challenges remain to be solved, such as low …
Designing User-Guidance for eXtendend Reality Interfaces in Industrial Environments
Modern industrial environments evolve from collections of physical machines into networked
extended reality environments, where in addition to the physical machines digital content …
extended reality environments, where in addition to the physical machines digital content …
Assembly state detection based on deep learning and object matching
S Zhao, J Wang, W Li, M Liu - 2022 IEEE 18th International …, 2022 - ieeexplore.ieee.org
To improve assembly quality and efficiency, a method based on deep learning and object
matching is proposed to detect missing and wrong parts. An improved YOLO V3 neural …
matching is proposed to detect missing and wrong parts. An improved YOLO V3 neural …