Research integration of a real-time object detection model on an underwater observation system using Laser Range-Gated imaging
DOI:
https://doi.org/10.54939/1859-1043.j.mst.CSCE9.2025.13-22Keywords:
Underwater observation device; Laser range-gated imaging; Real-time object detection; Adaptive image processing.Abstract
In recent years, underwater observation technology utilizing Laser Range-Gated (LRG) imaging has garnered considerable attention. This is attributed to its capability to provide high-resolution imagery in low-light environments, particularly in deep-sea settings at depths of hundreds of meters, which are characterized by the absence of light and low water transparency. However, practical deployment remains challenging due to significant light attenuation and scattering within the water medium. This paper presents a study on the integration of a real-time object detection model into an LRG underwater observation system. This integration is based on the analysis of reflected laser signals and adaptive image processing. The system utilizes a pulsed laser illumination source operating at a 532 nm wavelength. Image acquisition is performed by a high-sensitivity gated Intensified CCD (ICCD) camera, which is synchronized with the emitted laser pulses. The processing framework is built upon Python–OpenCV. Experimental results demonstrate that the system operates stably, clearly detecting the reflective regions of the target image. It automatically adjusts thresholding based on background illumination and achieves real-time performance at a rate of 28 - 30 frames per second (FPS).
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