Aquaculture Fish Sorting With Imaging-Based Condition Classification

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Solution Overview

Problem

Manual sorting of fish in aquaculture often results in inaccurate classification and prolonged processing times, leading to suboptimal conditions for harvested fish and additional losses.

Innovation Solution

An automated system using imaging devices and machine learning algorithms to analyze fish characteristics, such as weight and condition factor, and sort them into predefined areas based on predefined criteria, utilizing actuators to control fish movement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual sorting is used to evaluate and separate fish, then human judgment can be applied, but sorting accuracy deteriorates and processing time increases

Engineering Contradiction:
Improvesorting accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical sorting with an automated system using imaging devices to capture fish images, electronic processing to analyze images and determine physical characteristics, and actuators to physically sort fish. This substitution eliminates human error in visual evaluation while maintaining rapid processing speed, thereby improving sorting accuracy without increasing processing time.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If manual sorting is used to separate fish, then flexibility in classification is maintained, but sorting speed and productivity deteriorate

Engineering Contradiction:
Improvesorting speedVSAvoidclassification flexibility
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The patent enables flexible classification by allowing the system to evaluate multiple physical characteristics (length, weight, girth, color, patterns) and apply different sorting criteria through software configuration. The electronic processing can adjust classification parameters and thresholds without physical reconfiguration, maintaining operational flexibility while dramatically increasing sorting speed through automated image analysis and actuator-controlled sorting.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If prolonged sorting time occurs, then more thorough evaluation is possible, but fish conditions deteriorate and losses increase

Engineering Contradiction:
Improvefish qualityVSAvoidsorting duration
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements continuous sorting operation where fish move through the system on a conveyor, are continuously imaged, analyzed, and sorted without interruption. The automated system processes fish in continuous flow rather than batch processing, maintaining constant evaluation and sorting action. This continuous operation reduces total sorting time and keeps fish in optimal conditions throughout the process, preventing quality deterioration and losses.

Inventive Principle:
Principle #20Continuity of useful action

Data Source

PatentUS12456279B2Analysis and sorting in aquaculture
Publication Date: 2025.10.28 TIDALX AI INC
  • US12456279B2 patent drawing
  • US12456279B2 patent drawing
  • US12456279B2 patent drawing

AI summary

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for sorting fish in aquaculture. In some implementations, one or more images are obtained of a particular fish within a population of fish. Based on the one or more images of the fish, a data element is determined. The data element can include a first value that reflects a physical characteristic of the particular fish, and a second value that reflects a condition factor of the particular fish. Based on the data element, the fish is classified as a member of a particular subpopulation of the population of fish. An actuator of an automated fish sorter is controlled based on classifying the particular fish as a member of the particular subpopulation of the population of fish.