Method and system for fish identification based on body surface texture features and geometric features
US12236703B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 29, 2024 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Oct 29, 2044 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A40/81
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for fish identification based on body surface texture features and geometric features are provided. The method employs an improved Resnet network and a deep learning Yolov8 network to extract body surface texture features and geometric features of a fish on the basis of considering influences of fish tail swing and an oxygen concentration on a fish body form based on a small sample learning framework, and then realizes identity recognition of a fish individual by coupled analysis of the body surface texture features and the geometric features. The method can realize high-accuracy fish identification with few training samples of a fish to be identified from the perspective of actual application, provides theoretical basis and technical support for accurate fish stock assessment and accurate estimation of industrially farmed fish biomass, and meets the development requirements of modern agriculture.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.