ROV-based binocular vision system for underwater structure crack detection and width measurement

Ma, Yunpeng; Wu, Yi; Li, Qingwu; Zhou, Yaqin; Yu, Dabing

doi:10.1007/s11042-022-14168-1

Cited by 16 publications

(2 citation statements)

References 47 publications

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“…For roads, bridges, and other large detection areas, many institutions are unable to use these methods for regular inspection of cracks in the concrete surface, usually only one inspection a year, leading to their inability to timely evaluate the safety situation, resulting in a lot of accidents due to the deterioration of the road, and bridge deck structure. Compared with the above technology, the measurement method based on visual inspection technology has the advantages of non-contact and low hardware cost [4,5]. Therefore, in recent years, the vision-based crack measurement method has gradually become a hot research topic.…”

Section: Introductionmentioning

confidence: 99%

Research on Crack Width Measurement Based on Binocular Vision and Improved DeeplabV3+

Chen

Shen

2023

Applied Sciences

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Crack width is the main manifestation of concrete material deterioration. To measure the crack information quickly and conveniently, a non-contact measurement method of concrete planar structure crack based on binocular vision is proposed. Firstly, an improved DeeplabV3+ semantic segmentation model is proposed, which uses L-MobileNetV2 as the backbone feature extraction network, adopts IDAM structure to extract high-level semantic information, introduces ECA attention mechanism, and optimizes the loss function of the model to achieve high-precision segmentation of crack areas. Secondly, the plane space coordinate equation of the concrete structure was constructed based on the principle of binocular vision and SIFT feature point matching, and the crack width was calculated by combining the segmented image. Finally, to verify the performance of the above method, a measurement test platform was built. The experimental results show that the RMSE of the crack measurement by using the algorithm is less than 0.2 mm, and the error rate is less than 4%, which has stable accuracy in different measurement angles. It solves the problem of fast and convenient measurement of the crack width of concrete planar structures in an outdoor environment.

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Section: Introductionmentioning

confidence: 99%

Research on Crack Width Measurement Based on Binocular Vision and Improved DeeplabV3+

Chen

Shen

2023

Applied Sciences

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“…Chen Lin et al [ 22 ] designed a new precise measurement method based on binocular vision and proposed a novel stereoscopic matching algorithm combined with epipolar geometry and cross-ratio invariance (CMEC) to improve the accuracy of binocular vision stereoscopic matching. Yunpeng Ma et al [ 23 ] developed an ROV (Remotely Operated Vehicle) based on a binocular vision system to carry out underwater crack detection in real-time. Pranjali Pathre et al [ 24 ] proposed and showcased a monocular multi-view layout estimation for warehouse racks and shelves and used a single monocular camera to portray a 3D rendering of a warehouse scene in terms of its semantic components.…”

Section: Introductionmentioning

confidence: 99%

Decision Method of Optimal Needle Insertion Angle for Dorsal Hand Intravenous Robot

Zhu

Zhang

et al. 2023

Sensors

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In the context of COVID-19, the research on various aspects of the venipuncture robot field has become increasingly hot, but there has been little research on robotic needle insertion angles, primarily performed at a rough angle. This will increase the rate of puncture failure. Furthermore, there is sometimes significant pain due to the patients’ differences. This paper investigates the optimal needle entry angle decision for a dorsal hand intravenous injection robot. The dorsal plane of the hand was obtained by a linear structured light scan, which was used as a basis for calculating the needle entry angle. Simulation experiments were also designed to determine the optimal needle entry angle. Firstly, the linear structured optical system was calibrated and optimized, and the error function was constructed and solved iteratively by the optimization method to eliminate measurement error. Besides, the dorsal hand was scanned to obtain the spatial point clouds of the needle entry area, and the least squares method was used to fit it to obtain the dorsal hand plane. Then, the needle entry angle was calculated based on the needle entry area plane. Finally, the changes in the penetration force under different needle entry angles were analyzed to determine the optimal needle insertion angle. According to the experimental results, the average error of the optimized structured light plane position was about 0.1 mm, which meets the needs of the project, and a large angle should be properly selected for needle insertion during the intravenous injection.

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An automated crack detection method for underwater structures based on multilevel DWT and LPQ feature generation

Yaman

Tuncer

Ertam

2023

Multimed Tools Appl

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ROV-based binocular vision system for underwater structure crack detection and width measurement

Cited by 16 publications

References 47 publications

Research on Crack Width Measurement Based on Binocular Vision and Improved DeeplabV3+

Research on Crack Width Measurement Based on Binocular Vision and Improved DeeplabV3+

Decision Method of Optimal Needle Insertion Angle for Dorsal Hand Intravenous Robot

An automated crack detection method for underwater structures based on multilevel DWT and LPQ feature generation

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