Aerial Drone Marine Object Detection and Tracking
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Solution Overview
Problem
Current marine observation methods rely on human visual detection using binoculars, which is subjective and limited by the observer's range and visibility, making it inefficient for identifying and tracking marine life and obstructions.
Innovation Solution
A system and method utilizing aerial drones equipped with sensors to detect, classify, and track marine objects, which includes capturing identifying data, analyzing it for classification, and storing the information in an archival catalog for future reference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human observers use binoculars for marine observation, then the method is simple and equipment is minimal, but the identification accuracy is low and coverage area is limited
Solution Approach 1:
The patent transitions from ground-based boat observation to aerial drone observation, adding a vertical dimension to the observation system. This dimensional change expands the coverage area significantly while also improving identification accuracy through higher vantage points and specialized sensors.
Solution Approach 2:
The patent replaces the mechanical visual observation system (human eyes + binoculars) with an automated sensor system on drones, including cameras, LIDAR, and other detection devices. This substitution enables both expanded coverage and improved measurement precision through automated image capture and analysis.
2Productivity
If human observers manually identify marine objects, then the system is simple to operate, but the productivity is low and time consumption is high
Solution Approach 1:
The patent implements automated object detection, classification, and tracking systems on drones that operate without continuous human intervention. The system autonomously captures images, processes data through AI algorithms, identifies marine objects, and tracks their movements, dramatically improving productivity while reducing the time observers spend on manual identification tasks.
Solution Approach 2:
The patent changes the operational parameters from manual visual inspection to automated sensor-based detection with algorithmic processing. This parameter change enables rapid data collection and analysis, significantly increasing observation efficiency and reducing the time required to identify and track marine objects.
3Measurement precision
If visual observation range is limited by observer position, then the equipment requirement is low, but the measurement precision and detection capability are insufficient
Solution Approach 1:
The patent employs multi-functional drone systems that combine various sensors (cameras, LIDAR, thermal imaging) and capabilities (navigation, communication, data processing) into a single platform. This universal system provides enhanced detection capability through multiple sensor types while managing complexity through integrated design and centralized control.
Data Source
AI summary
A method for identifying and tracking objects includes detecting a marine object to be cataloged. The method also includes capturing identifying data for the marine object from one or more sensors on an aerial drone. The method includes analyzing the identifying data to classify the marine object. The method includes storing a classification of the marine object and the identifying data in an archival catalog.