Processing

Please wait...

Settings

Settings

Goto Application

1. CN109784378 - Underwater fishing method based on machine vision

Office
China
Application Number 201811608004.2
Application Date 27.12.2018
Publication Number 109784378
Publication Date 21.05.2019
Publication Kind A
IPC
G06K 9/62
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
G06N 3/04
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architecture, e.g. interconnection topology
CPC
A01K 61/95
AHUMAN NECESSITIES
01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
KANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
61Culture of aquatic animals
90Sorting, grading, counting or marking live aquatic animals, e.g. sex determination
95specially adapted for fish
G06K 9/62
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
G06N 3/04
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
Applicants NANJING QIANYUE ROBOT TECHNOLOGY CO., LTD.
南京芊玥机器人科技有限公司
Inventors WANG WEIRAN
王伟然
LIU JINLONG
刘金龙
HUAN JIAN
宦键
ZHI PENGFEI
智鹏飞
CHEN WEI
陈伟
ZHANG YUHANG
张宇航
Agents 北京一格知识产权代理事务所(普通合伙) 11316
Title
(EN) Underwater fishing method based on machine vision
(ZH) 一种基于机器视觉的水下捕鱼方法
Abstract
(EN)
The invention relates to an underwater fishing method based on machine vision, and the method comprises the steps: monitoring the growth condition of fishes in real time through the cooperation of anunderwater fishing device and the steps of fish recognition and classification, fish length measurement and weight prediction, and accurately mastering the optimal fishing period; wherein the fish identification classification comprises image acquisition and preprocessing, wavelet feature extraction and BP neural network fish image classification, and the fish length measurement and weight prediction comprises fish sample length and weight parameter acquisition, fish length information extraction, length error compensation and weight prediction. The underwater fishing method based on machine vision has the advantages that fishes of specific types and specific sizes can be captured, meanwhile, the weight of the fishes can be estimated, the growth condition of the fishes can be monitored inreal time, and the optimal fishing period can be accurately mastered.

(ZH)
本发明涉及一种基于机器视觉的水下捕鱼方法,该水下捕鱼方法通过水下捕鱼装置配合鱼类识别分类、鱼类长度测量及重量预测的步骤实时监测鱼类生长情况,精准掌握最佳捕鱼时期;其中,所述鱼类识别分类包括图像采集与预处理、小波特征提取和BP神经网络鱼类图像分类,所述鱼类长度测量及重量预测包括鱼类样本长度和重量参数获取、鱼类长度信息提取、长度误差补偿和重量预测。本发明的优点在于:本发明基于机器视觉的水下捕鱼方法,可以捕捉特定种类和特定大小的鱼类,同时,也可以估测鱼类重量,实时监测鱼类生长情况,精准掌握最佳捕鱼时期。

Related patent documents