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Computer Vision Techniques in Manufacturing
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DOI：10.1109/TSMC.2022.3166397.png)
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摘要
En 中文
Computer vision (CV) techniques have played an important role in promoting the informatization, digitization, and intelligence of industrial manufacturing systems. Considering the rapid development of CV techniques, we present a comprehensive review of the state of the art of these techniques and their applications in manufacturing industries. We survey the most common methods, including feature detection, recognition, segmentation, and three-dimensional modeling. A system framework of CV in the manufacturing environment is proposed, consisting of a lighting module, a manufacturing system, a sensing module, CV algorithms, a decision-making module, and an actuator. Applications of CV to different stages of the entire product life cycle are then explored, including product design, modeling and simulation, planning and scheduling, the production process, inspection and quality control, assembly, transportation, and disassembly. Challenges include algorithm implementation, data preprocessing, data labeling, and benchmarks. Future directions include building benchmarks, developing methods for nonannotated data processing, developing effective data preprocessing mechanisms, customizing CV models, and opportunities aroused by 5G.
Keyword:
Image edge detection
Image segmentation
Task analysis
Robot sensing systems
Sensors
Feature detection
Three-dimensional displays
Assembly
computer vision (CV)
deep learning
inspection
machine intelligence
machine learning
manufacturing
production
robotics
survey
期刊
IF:
10.5
论文数:
1.1W
被引数:
5.0W
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