Monitoring the crew of a ship can be performed by combining sensors and artificial intelligence methods to process sensing data. In this study, we developed a deep learning (DL)-assisted minimalist structure triboelectric smart mat system for obtaining abundant crew information without the privacy concerns of taking video. The smart mat system is fabricated using a conductive sponge with different filling rates and a fluorinated ethylene propylene membrane. The proposed dual-channel measurement method improves the stability of the generated signal. Comprehensive crew and cargo monitoring, including personnel and status identification, as well as positioning and counting functions are realized by the DL-assisted triboelectric smart mat system according to the analysis of instant sensory data. Real-time monitoring of crews through fixed and mobile devices improves the ability and efficiency of handling emergencies. The smart mat system provides privacy concerns and an effective way to build ship Internet of Things and ensure personnel safety.

中文翻译：

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用于海上安全人员综合监测的深度学习辅助摩擦电智能垫

可以通过结合传感器和人工智能方法来处理传感数据来监控船舶的船员。在这项研究中，我们开发了一种深度学习 (DL) 辅助的极简结构摩擦电智能垫系统，用于获取丰富的船员信息，而无需担心拍摄视频的隐私问题。智能垫系统由具有不同填充率的导电海绵和氟化乙烯丙烯膜制成。所提出的双通道测量方法提高了生成信号的稳定性。DL辅助摩擦电智能垫系统根据即时传感数据的分析，实现全面的船员和货物监控，包括人员和状态识别，以及定位和计数功能。通过固定和移动设备对船员进行实时监控，提高了处理突发事件的能力和效率。智能垫系统提供了隐私问题和构建船舶物联网和确保人员安全的有效途径。