Fish Fillet Gaping Assessment Using 3D and Optical Data Fusion
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Solution Overview
Problem
Existing methods for determining the measure of gaping in fish fillet items are labor-intensive, subjective, and lack precision and accuracy.
Innovation Solution
A method and apparatus that utilize both three-dimensional surface data and optical imaging data to automate the determination of gaping in fish fillet items, improving precision and accuracy by combining and processing these data types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated imaging methods are used to determine gaping in fish fillet items, then labor requirements are reduced and objectivity is improved, but device complexity increases due to the need for multiple imaging devices and data processing systems
Solution Approach 1:
The patent combines multiple imaging devices (first imaging device for 2D images and second imaging device for 3D images) into a single integrated system that captures both surface characteristics and gaping information simultaneously, resolving the contradiction by merging functionality rather than adding separate systems
Solution Approach 2:
The imaging system is designed to perform multiple functions: detecting surface defects, measuring gaping, and providing three-dimensional visualization, thereby reducing the need for separate specialized devices while maintaining automation benefits
2Measurement precision
If multiple imaging devices are used to capture both 2D and 3D data, then measurement precision and accuracy are improved, but device complexity increases
Solution Approach 1:
The patent merges 2D and 3D imaging capabilities into a coordinated system where the first imaging device captures surface characteristics and the second imaging device captures gaping information, with both devices working together to achieve high measurement precision without requiring completely separate analysis systems
Solution Approach 2:
The processor acts as an intermediary that receives data from both imaging devices, aligns the 2D and 3D image data, and integrates the information to produce accurate gaping measurements, thereby managing the complexity of coordinating multiple devices
3Reliability
If automated image processing is implemented, then objectivity of assessment is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing of the images, including alignment and feature extraction, before the final gaping assessment is made. This preliminary action prepares the data in advance, enabling faster and more objective analysis when the actual measurement is needed
Solution Approach 2:
The patent replaces manual subjective assessment with automated image processing algorithms that objectively analyze the imaging data, eliminating human bias while the processing is performed computationally rather than mechanically, thereby improving reliability without excessive time loss
Data Source
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AI summary
There is presented a method (100, 300, 400) of determining a measure of gaping in a fish fillet item (3, 803), the method comprising the steps of obtaining (102) three-dimensional profile data of a first area of the fish fillet item, obtaining (104) optical imaging data of a second area of the fish fillet item, wherein the first area and the second area are overlapping at least within an overlap area; and determining (106) the measure of gaping in the fish fillet item based on the three-dimensional profile data within the overlap area and the optical imaging data within the overlap area.