Mr. Jun Liu Profile

Jun Liu

at Ocean Univ. of China

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Proceedings Article | 13 December 2021 Paper

Position prediction of the oyster adductor muscle based on YOLOv3 algorithm

Chao Ma, Kai Cheng, Jun Liu, Shuang Xu, Jianhu Han

Proceedings Volume 12075, 120750K (2021) https://doi.org/10.1117/12.2604732

KEYWORDS: Feature extraction, Target detection, Network architectures, Image processing, Visualization, Performance modeling

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Oyster is one of the largest cultured shellfish in the world, though it remains a challenge to shuck oysters automatically by mechanical systems, which has attracted interests of research for a long time. We design a low-cost high-temperature steam beam to heat the adductor muscle attachment area with high precision to shuck the oysters. This approach, compared to the overall heating processes, causes much less damage to the quality and physiological structure of the oysters. The key issue of our method lies in locating the adductor muscle outside of the shells as there is no obvious feature of judgment due to the irregular shapes and variant sizes of the oysters. To this end, we proposed a deep learning method for predicting the position of the adductor muscle based on the YOLOv3 algorithm. In this paper, we establish an image dataset containing 520 oyster pictures, 120 of which are labeled pictures. These images are trained in the deployment environment of GTX 1060. Experiments show that the accuracy of the model is up to 99.5%, the prediction accuracy of the adductor muscle position reaches 79.17%, and the average time to detect one single image is around 0.03s.

Proceedings Article | 19 November 2019 Paper

LIBS underwater precision positioning system

Shuang Xu, Kai Cheng, Jun Liu

Proceedings Volume 11184, 1118415 (2019) https://doi.org/10.1117/12.2537968

KEYWORDS: Laser induced breakdown spectroscopy, Spectroscopy, Plasma, Cameras, Switches, Chemical elements, Process control, Ocean optics, Computing systems, Pulsed laser operation

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Laser induced breakdown spectroscopy (LIBS) is a type of atomic emission spectroscopy which uses a highly energetic laser pulse as the excitation source. The laser is focused to form a plasma, which atomizes and excites samples. The formation of the plasma only begins when the focused laser achieves a certain threshold for optical breakdown, which generally depends on the environment and the target material. Thereby, the detection and spectral analysis of the elements contained in the object are realized. However, the traditional LIBS system cannot achieve non-contact adjustment. When detecting objects underwater, the optical path is fixed and cannot be re-adjusted to accommodate the external environment. In this paper, the optical path system is integrated into the pressure cabin and controlled by a microcontroller unit. The host computer is connected to the microcontroller unit through the TCP/IP protocol. Then the focus of the optical path and the brightness of the illumination source can be adjusted by the PC through the host computer. An underwater HD camera is controlled by the host computer to realize in-situ detection and monitoring of the elements contained in the underwater object. Compared with the traditional LIBS system, the advantage of this system is that the underwater non-contact optical system can be adjusted and focused by the host computer. At the same time, the underwater object can be monitored by the high-definition camera to realize the in-situ detection and monitoring of the elements contained in the underwater object, so as to achieve accurate underwater positioning.

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