Abstract
With the development of sensor technology and the increasing demand of industrial upgrading, high intelligence and high-precision processing and manufacturing is the development trend of the future automation industry. As the eye of industry, sensor is the core part of intelligent industrial system. Line-structured light sensor is widely used in automatic manufacturing because of its non-contact, high-robust, and high-precision characteristics. This paper analyzes the latest application and research of line-structured light sensing technology in the industrial application of workpiece object detection and positioning, geometric profile measurement, three-dimensional reconstruction. It is found that line-structured light can provide more convenient advantages for high-precision measurement in automatic production line with its non-contact advantage. Through the feature extraction and reconstruction of the surface profile, the accurate estimation of the three-dimensional shape and coordinates of the workpiece can be realized, which lays the theoretical foundation and practical basis for further realizing the automatic manufacturing.
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References
Liy Y, Yuan L, Zhang Z (2013) Survey on linear structured light stripe center extraction. Laser Optoelectron Prog 50(10):100002
Zhang X, Zhang J (2017) Summary on calibration method of line-structured light sensor. In: 2017 IEEE international conference on robotics and biomimetics (ROBIO). IEEE
Huang W, Kovacevic R (2011) A laser-based vision system for weld quality inspection. Sensors 11(1):506–521
Qingmeng L et al (2012) 3D scanning system for digital dental based on line structured light sensor. In: 2012 international conference on system science and engineering (ICSSE). IEEE
Zou Y, Li J, Chen X (2017) Seam tracking investigation via striped line laser sensor. Ind Robot Int J
Zhang Z (2000) A flexible new technique for camera calibration. IEEE Trans Pattern Anal Mach Intell 22(11):1330–1334
Qi Y, Jing F, Tan M (2013) Line-feature-based calibration method of structured light plane parameters for robot hand-eye system. Opt Eng 52(3):037202
Cui B et al (2020) Cross-point calibration method for the Scheimpflug measurement system. Appl Opt 59(28):8618–8627
Chen T-F, Ma Z, Wu X (2012) Calibration of light plane in line structured light sensor based on active vision. Guangxue Jingmi Gongcheng (Opt Precision Eng) 20(2):256–263
Inglis G et al (2012) A pipeline for structured light bathymetric mapping. In: 2012 IEEE/RSJ international conference on intelligent robots and systems. IEEE
Yu H et al (2020) Three-dimensional shape measurement technique for large-scale objects based on line structured light combined with industrial robot. Optik 202:163656
Liu F, Wang Z, Ji Y (2018) Precise initial weld position identification of a fillet weld seam using laser vision technology. Int J Adv Manuf Technol 99(5–8):2059–2068
Zeng J et al (2018) A weld position recognition method based on directional and structured light information fusion in multi-layer/multi-pass welding. Sensors 18(1):129
Li G et al (2020) Welding seam trajectory recognition for automated skip welding guidance of a spatially intermittent welding seam based on laser vision sensor. Sensors 20(13):3657
Wu K, Wang W (2018) Detection method of obstacle for plant protection UAV based on structured light vision. Opto-Electron Eng 45(04):170613
Mao XR, Yuan X, Zhao CX (2013) Detection of indoor robot’s passable areas based on a single-line structured light. Appl Mech Mater 433.
Shao H, Zhang Z, Li K (2015) Research on water hazard detection based on line structured light sensor for long-distance all day. In: 2015 IEEE international conference on mechatronics and automation (ICMA). IEEE
Qingchun F et al (2014) Design of structured-light vision system for tomato harvesting robot. Int J Agric Biol Eng 7(2):19–26
Gao Y, Shao S, Feng Q (2012) A new method for dynamically measuring diameters of train wheels using line structured light visual sensor. In: 2012 Symposium on photonics and optoelectronics. IEEE
Liu Z et al (2011) Simple and fast rail wear measurement method based on structured light. Opt Lasers Eng 49(11):1343–1351
Zhou P, Xu K, Wang D (2018) Rail profile measurement based on line-structured light vision. IEEE Access 6:16423–16431
Zhan D et al (2015) Multi-camera and structured-light vision system (MSVS) for dynamic high-accuracy 3D measurements of railway tunnels. Sensors 15(4):8664–8684
Mei J, Lai L-J (2019) Development of a novel line structured light measurement instrument for complex manufactured parts. Rev Sci Instrum 90(11):115106
Nguyen H-C, Lee B-R (2014) Laser-vision-based quality inspection system for small-bead laser welding. Int J Precision Eng Manuf 15(3):415–423
Roman C, Inglis G, Rutter J (2010) Application of structured light imaging for high resolution mapping of underwater archaeological sites. In: OCEANS'10 IEEE SYDNEY. IEEE
Bodenmann A, Thornton B, Ura T (2017) Generation of high-resolution three-dimensional reconstructions of the seafloor in color using a single camera and structured light. J Field Robot 34(5):833–851
Liang J, Gu X (2020) Development and application of a non-destructive pavement testing system based on linear structured light three-dimensional measurement. Constr Build Mater 260:119919
Rodriguez-Martin M et al (2017) Feasibility study of a structured light system applied to welding inspection based on articulated coordinate measure machine data. IEEE Sens J 17(13):4217–4224
Acknowledgements
This work is supported by the National Natural Science Foundation of China (No. 51975367, 61401275), the Shanghai Jiao Tong University New Teacher Support Program (No. 18X100040049), the Guangxi Natural Science Foundation of China (No. GKAD18281007), and the Research Fund of Yantai Information Technology Research Institute of Shanghai Jiao Tong University (No. G19YTJC004).
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Chen, S., Tao, W., Zhao, H., Lv, N. (2021). A Review: Application Research of Intelligent 3D Detection Technology Based on Linear-Structured Light. In: Chen, S., Zhang, Y., Feng, Z. (eds) Transactions on Intelligent Welding Manufacturing. Transactions on Intelligent Welding Manufacturing. Springer, Singapore. https://doi.org/10.1007/978-981-33-6502-5_2
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DOI: https://doi.org/10.1007/978-981-33-6502-5_2
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