Paper
16 October 2024 Omnidirectional mobile rescue boat based on digital motion processor and target detection technology
Haotian Shan
Author Affiliations +
Proceedings Volume 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024); 132913J (2024) https://doi.org/10.1117/12.3034374
Event: Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 2024, Changchun, China
Abstract
Water rescue operations often face challenges related to timeliness and safety using conventional methods. In this paper, we present a solution to address these challenges by introducing an omnidirectional mobile boat that incorporates advanced technologies. The boat utilizes the YOLO algorithm for detecting individuals in distress within the water and the MPU6050 hardware Digital Motion Processor for accurate posture calculation. Additionally, a path planning algorithm has been implemented to enhance rescue efficiency. Compared to traditional rescue methods, our solution significantly mitigates the risk of personnel injuries during rescue operations while enhancing overall rescue efficiency. Furthermore, our solution effectively resolves the challenge of omnidirectional boat movement through the implementation of a modular three-motor layout scheme. This layout enables prompt rescue of individuals in distress from any location. Moreover, the modular design simplifies the operation and maintenance of the omnidirectional boat, enhancing its usability. Additionally, our solution offers the advantage of low manufacturing costs, making it easily scalable and deployable.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Haotian Shan "Omnidirectional mobile rescue boat based on digital motion processor and target detection technology", Proc. SPIE 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 132913J (16 October 2024); https://doi.org/10.1117/12.3034374
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KEYWORDS
Object detection

Detection and tracking algorithms

Target detection

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