AR Glasses for Marine Animal Detection via Computer Vision
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Solution Overview
Problem
Fishing techniques often struggle to accurately identify and locate marine animals, especially in environments with similar colors, glare, or camouflage, making it difficult for fishermen to notice and catch specific species.
Innovation Solution
An Augmented Reality (AR) system using AR glasses or devices with computerized vision processing to detect and recognize marine animals, providing real-time augmented information on their location, type, size, and movement patterns, superimposed on the user's view, through visual, auditory, or haptic feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional fishing techniques are used, then the equipment and method are simple, but the ability to accurately identify and locate marine animals is poor
Solution Approach 1:
The patent introduces an intermediary system consisting of AR glasses, cameras, and computer vision processors that mediate between the fisherman and the marine environment. This intermediary layer processes visual information and overlays augmented reality indicators to enhance identification accuracy without requiring the fisherman to directly analyze complex visual data.
Solution Approach 2:
The patent replaces manual visual inspection and mechanical fishing methods with an automated computer vision system. The AR glasses and image processing algorithms automatically detect, track, and identify marine animals, substituting the fisherman's manual observation and decision-making process with an automated electronic system.
2Difficulty of detecting and measuring
If AR technology is introduced to enhance detection capability, then the ability to locate marine animals improves, but the device complexity increases
Solution Approach 1:
The AR glasses serve multiple functions simultaneously: they display augmented reality indicators, provide audio feedback, offer haptic feedback through vibrations, and present visual overlays. This multi-functionality consolidates what would otherwise require multiple separate devices into a single wearable unit, managing complexity through integration.
Solution Approach 2:
The system performs self-service by automatically capturing images, processing visual data, identifying marine animals, and presenting information to the user without requiring manual intervention. The AR glasses autonomously detect and track marine animals, continuously updating the display without fisherman input, thereby reducing operational complexity.
3Speed
If real-time processing is performed to provide immediate information, then the responsiveness improves, but the computational requirements and energy consumption increase
Solution Approach 1:
The system performs partial processing by focusing computational resources on specific tasks such as detecting marine animal movements and identifying species, while using simpler processing for routine display updates. This selective processing approach maintains real-time responsiveness for critical detection functions while reducing overall energy consumption through optimized computational allocation.
Data Source
AI summary
An Augmented Reality (AR) device or gear or glasses or sunglasses, includes one or more imagers to capture images of an area-of-interest of an environment. A processor performs computer vision analysis or image recognition analysis, and detects one or more animals in the environment; and estimates their relative location, and further classifies them or estimates their properties. The detected and estimated information is then conveyed to the user, as an Augmented Reality layer of information that is super-imposed on the real-life field-of-view that is observed by the user. Optionally, additional indicators are used to convey the information, such as audio output, haptic output, or the like.