Technology Overview
MODISQ is an AI-based intelligent recognition and analysis platform developed for marine environmental monitoring and smart inspection applications. It integrates image data management, artificial intelligence inference, target recognition, spatial information display, and result analysis to provide intelligent interpretation capability for marine pollution monitoring, coastal structure inspection, vessel activity monitoring, and marine survey missions.
The platform supports multi-source image inputs, including UAV aerial imagery, fixed surveillance equipment, shipborne sensing systems, and other optical image sources. Through a standardized analysis workflow, it can rapidly generate monitoring outputs and effectively improve marine environmental monitoring efficiency and decision-support capability.
AI Inference and Result Visualization
The MODISQ platform uses deep learning and computer vision as its core technologies to establish a complete AI inference workflow, automatically performing target detection, classification, segmentation, and quantity statistics. The system converts recognition results into intuitive visual outputs, including target annotations, hotspot distribution maps, statistical charts, and geographic information display interfaces, helping users quickly understand monitoring-area conditions.
The platform also provides data management and result query functions, enabling research analysis, monitoring missions, and response operations to establish a consistent and traceable interpretation workflow while improving the utility and analysis efficiency of monitoring data.
Real-Time Recognition Demonstration
MODISQ can demonstrate real-time recognition results for oil pollution, vessels, and other maritime targets, and it supports integration with UAVs, edge AI computing devices, and wireless data transmission systems to enable on-site real-time analysis and data return.
During mission execution, the system can complete target detection, position marking, and result display simultaneously, then transmit recognition outputs in real time to a ground monitoring station or backend platform so operators can quickly understand field conditions. Through real-time monitoring and intelligent analysis, the system can support marine pollution incident inspection, vessel activity monitoring, coastal facility inspection, and emergency response applications.