In the maritime industry, unsafe behaviors exhibited by crew members are a significant factor contributing to shipping and occupational accidents. Among these behaviors, unsafe operation of mooring lines is particularly prone to causing severe accidents. Video-based monitoring has been demonstrated as an effective means of detecting these unsafe behaviors in real time and providing early warning to crew members. To this end, this paper presents a dataset comprising videos of unsafe mooring line operations by crew members on the M.V. YuKun. Additionally, we propose an unsafe behavior recognition model based on the improved You Only Look Once (YOLO)-v4 network. Experimental results indicate that the proposed model, when compared to other models such as the original YOLO-v4 and YOLO-v3, demonstrates a significant improvement in recognition speed by approximately 35% while maintaining accuracy. Additionally, it also results in a reduction in computation burden. Furthermore, the proposed model was successfully applied to an actual ship test, which further verifies its effectiveness in recognizing unsafe mooring operation behaviors. Results of the actual ship test highlight that the proposed model’s recognition accuracy is on par with that of the original YOLO-v4 network but shows an improvement in processing speed by 50% and a reduction in processing complexity by about 96%. Hence, this work demonstrates that the proposed dataset and improved YOLO-v4 network can effectively detect unsafe mooring operation behaviors and potentially enhance the safety of marine operations.
In order to avoid and reduce the impact of water and underwater activities on navigation, maintain navigation order, protect ocean resources, ensure navigation safety, and promote the development of water transportation economy. Through the investigation and analysis of the project and the scientific evaluation method, the navigation safety of the ships involved in the project under the relevant water environment is analyzed and studied. Taking “Petrobras 76” as an example, the safety of towing is evaluated from the aspects of Meteorology, hydrology and local waterway conditions. Combined with the specific implementation scheme of the project, targeted risk assessment research is carried out. Finally, from the perspective of ship navigation safety, the rationality of the project design scheme is comprehensively evaluated, and the relevant safety is proposed Countermeasures, measures and suggestions for navigation.
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