Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Ecological biological recognition method based on RON algorithm

A biometric and ecological technology, applied in the field of biometrics, can solve the problems of slow recognition and inconvenient water biometrics, and achieve the effect of increasing the speed and improving the speed.

Pending Publication Date: 2022-05-27
澜途集思(珠海)科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, aquatic organisms are identified through biometric technology. However, the existing biometric technology is slow in identification and is not convenient for rapid water biometric identification.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Ecological biological recognition method based on RON algorithm
  • Ecological biological recognition method based on RON algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0027] refer to Figure 1-2 , an ecological biometric identification method based on the RON algorithm, including the following steps:

[0028] S1 collects ecological biological features, classifies the collected ecological features, and establishes an ecological feature database;

[0029] S2 initiates an ecological biometric identification request, and collects biological image data in the ecological environment according to the request;

[0030] S3 performs image processing on the collected biological image data, and stores the processed biological image data;

[0031] S4 performs target detection on the collected biological image data...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an ecological biological recognition method based on an RON algorithm, and the method comprises the following steps: collecting ecological biological characteristics, classifying the collected ecological characteristics, and building an ecological characteristic database; initiating an ecological biological recognition request, and collecting biological image data in the ecological environment according to the request; performing image processing on the acquired biological image data, and storing the processed biological image data; performing target detection on the acquired biological image data through an RON algorithm; and comparing and identifying the obtained biological image data features required to be identified with the feature data in the ecological feature database. According to the method, the RON algorithm is set, no roipooling layer exists in the RON, regression of coordinates is directly completed in a regression branch similar to an RPN network, regression operation of the coordinates is carried out only once, the target detection speed can be effectively increased, and the biological recognition speed is increased.

Description

technical field [0001] The present invention relates to the technical field of biometric identification, in particular to an ecological biometric identification method based on RON algorithm. Background technique [0002] Aquatic organisms are an effective reference for judging whether river water is polluted. The distribution and concentration of different chemical substances in the river water will determine the type and composition of aquatic organisms in the river. Some aquatic organisms can reproduce quickly in one river condition and die in another, depending on the composition of the river water. Therefore, as long as the type composition of aquatic organisms in the river is analyzed, it is possible to judge what kind of chemical substances exist in a certain river section. [0003] Aquatic biological communities have an intricate relationship with the water environment and play an important role in water quality changes. Different types of aquatic organisms have d...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/10G06V20/05G06V10/25G06V10/82G06N3/04G06N3/08
CPCG06N3/08G06N3/045Y02A20/20
Inventor 杨志峰沈永明张远蔡宴朋
Owner 澜途集思(珠海)科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com