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Article http://dx.doi.org/10.26855/acc.2024.02.009

Research on Autonomous Navigation and Intelligent Recognition Technology of Ship Hull Cleaning Robots Based on Deep Learning

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Linjun Fu

Shanghai Maritime University (Lingang Campus), Shanghai, China.

*Corresponding author: Linjun Fu

Published: April 9,2024

Abstract

This paper provides a comprehensive analysis of the profitability outlook and cost projections for a company operating in the intelligent robotics sector, with a specific focus on its flagship product, intelligent warehouse cleaning robots. Utilizing the Tob business model, the company strategically positions itself to deliver high-value services and cultivate enduring client partnerships, thereby ensuring a stable revenue stream. However, the company faces challenges due to initial capital constraints, which hinder timely product development and market competitiveness. Situated in the China (Shanghai) Pilot Free Trade Zone Lingang New Area, the company benefits from favorable policy incentives and a conducive development environment. This examination delves into the favorable factors contributing to profitability, such as innovative technologies and market demand, as well as the unfavorable factors constraining growth, including capital limitations and market saturation. Additionally, a comprehensive cost projection analysis covering various operational facets is presented to provide insights into the company's financial outlook.

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How to cite this paper

Research on Autonomous Navigation and Intelligent Recognition Technology of Ship Hull Cleaning Robots Based on Deep Learning

How to cite this paper: Linjun Fu. (2024) Research on Autonomous Navigation and Intelligent Recognition Technology of Ship Hull Cleaning Robots Based on Deep Learning. Advances in Computer and Communication5(1), 53-58.

DOI: http://dx.doi.org/10.26855/acc.2024.02.009