Underwater Shrimp Length Estimation Using Infrared Image Analysis
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Solution Overview
Problem
Conventional methods for determining the growth states of aquatic creatures, such as shrimps, involve manual catching and measuring, which are harmful and can lead to the death of the creatures.
Innovation Solution
A method and system that utilize an image capturing device, preferably an infrared camera, to capture underwater images of shrimps in a breeding pond, apply a creature structural model to identify feature points, and calculate lengths without physically catching the creatures, using a neural network model to estimate lengths based on lightness and structural data sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual catching and measuring methods are used to determine growth states of aquatic creatures, then measurement data can be obtained, but the creatures are harmed or even die
Solution Approach 1:
The patent replaces the mechanical manual catching and measuring system with an optical imaging system. An image capturing device takes pictures of creatures in the water, and a processor automatically measures lengths by identifying feature points and calculating distances based on lightness data, eliminating the need for physical contact that harms creatures
Solution Approach 2:
The patent introduces an intermediary measurement system consisting of an image capturing device and processing algorithm. Instead of directly catching and measuring creatures, the system uses captured images as an intermediary to obtain measurement data, allowing growth assessment without direct physical intervention that would harm the creatures
2Loss of information
If manual catching operations are performed to determine growth states, then growth data can be collected, but the operation complexity and time consumption increase
Solution Approach 1:
The patent implements a self-service measurement system where the image capturing device automatically captures images and the processor automatically identifies feature points, calculates distances, and determines creature lengths without requiring manual intervention for each measurement, significantly reducing time consumption and operational complexity
Solution Approach 2:
The patent replaces time-consuming manual operations with an automated optical measurement system that rapidly processes images to extract growth information, converting a labor-intensive mechanical process into an efficient automated computational process
Data Source
AI summary
A method for estimating a length of underwater creatures and a system for estimating a length of underwater creatures are provided. The system includes a memory and a processor. The processor is electrically connected to the memory to load instructions in the memory to perform the method. The method includes: receiving a underwater image, in which the underwater image is captured by an image capturing device and includes a creature pattern of a target creature; performing an identification step on the creature pattern to obtain a creature lightness data set corresponding to the target creature; calculating a creature distance between the target creature and the image capturing device. In some embodiments, the identification step further obtains a creature structure data set of the target creature, and thus a creature length of the target creature is calculated in accordance with the creature distance and the creature structure data set.