Vessel Image Matching for Real-Time Identification Without AIS
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Solution Overview
Problem
Current systems face challenges in identifying water surface objects without Automatic Identification System (AIS) and require manual, time-consuming methods for multiple objects in ports, leading to imprecise identification.
Innovation Solution
A real-time vessel identity and image matching system utilizing cameras, a processing module, storage module, and an object information receiving module to automatically identify and label water surface objects through image recognition and AIS data, with cameras capable of capturing and processing images in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual search and identification methods are used for water surface objects, then identification can be performed without additional equipment, but the process becomes time-consuming and imprecise
Solution Approach 1:
The patent replaces manual mechanical search and identification methods with an automated image recognition system using cameras and processing modules. The system captures images of water surface objects, automatically processes them through object detection and recognition algorithms, and identifies objects based on visual features rather than manual inspection, thereby improving both precision and speed.
Solution Approach 2:
The system enables water surface objects to be automatically identified through their own visual characteristics captured by cameras. The processing module autonomously performs object detection, recognition, and identification without requiring manual intervention, allowing the system to serve itself in the identification process.
2Measurement precision
If Automatic Identification System (AIS) is installed on water surface objects, then identity recognition is enabled, but objects without AIS installation cannot be identified
Solution Approach 1:
The patent creates a universal identification system that can identify both AIS-equipped objects and AIS-less objects. The processing module integrates multiple identification approaches: it can recognize objects with AIS by matching AIS data with image data, and identify objects without AIS by relying solely on image recognition and visual feature analysis, thereby expanding identification coverage to all water surface objects regardless of AIS installation.
Solution Approach 2:
The system uses image data as an intermediary to bridge the identification gap for AIS-less objects. The camera captures visual information, the processing module extracts features and performs recognition, and this image-based identification serves as a mediator to identify objects that lack AIS transmission capabilities, complementing the AIS-based identification method.
3Quantity of substance
If multiple water surface objects are present in the port, then comprehensive monitoring is achieved, but manual identification becomes increasingly time-consuming and imprecise
Solution Approach 1:
The patent replaces manual identification processes with automated image recognition technology that can simultaneously process multiple objects. The processing module uses object detection algorithms to identify and track multiple water surface objects in parallel, performing simultaneous recognition and classification without the sequential nature of manual identification, thereby maintaining high efficiency even as the number of objects increases.
Solution Approach 2:
The system performs comprehensive image capture and processing that covers all water surface objects within the monitoring area. The camera system captures images of multiple objects simultaneously, and the processing module processes beyond the minimum required by analyzing all detected objects, ensuring no object is missed even when multiple objects are present, thereby maintaining identification efficiency at scale.
Data Source
AI summary
The present invention discloses a real-time vessel identity and image matching system and operating method thereof. Specifically, the real-time vessel identity and image matching system comprises a processing module, a storage module, at least one camera and a water surface object information receiving module. The processing module may match the camera location information, image recognition information which are provided by the camera with the water surface information which is provided by the water surface object information receiving module, generating a water surface object information tag. Therefore, the processing module is able to label the water surface object information tag beside the water surface object which is displayed.