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

Wild animal image automatic identification system based on big data and deep learning

A wild animal and deep learning technology, applied in the field of wild animal monitoring image processing, to achieve low image quality, improve recognition accuracy, and achieve restoration and reconstruction effects

Pending Publication Date: 2021-02-26
BEIJING FORESTRY UNIVERSITY
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the technical defects in the prior art, the purpose of the embodiment of the present invention is to provide a wild animal image automatic recognition system, method and electronic equipment based on big data and deep learning, which mainly solve the following related technical problems:

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
  • Wild animal image automatic identification system based on big data and deep learning
  • Wild animal image automatic identification system based on big data and deep learning
  • Wild animal image automatic identification system based on big data and deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0051] The inventive concept of the present invention is to provide a wild animal image automatic recognition system based on big data and deep learning. The system takes the wild animal monitoring image database as the main body, combines super-resolution image restoration technology and neural network automatic wild animal recognition algorithm to realize the processing and analysis of wild animal data, and builds the front-end interface of the s...

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 embodiment of the invention discloses a wild animal image automatic recognition system based on big data and deep learning. The system takes a wild animal monitoring image database as a main body,and achieves processing and analysis of wild animal data through combining a super-resolution image recovery technology and a wild animal automatic recognition algorithm; a front-end interface of thesystem is built through data visualization. Specifically, the wildlife monitoring image database is used for storage management of wildlife images and the related information, the super-resolution image recovery technology is used for achieving recovery and reconstruction of low-quality compressed images, and the automatic recognition algorithm is used for realizing automatic recognition and monitoring analysis of the wildlife images through deep learning; therefore, classification processing of the images and elimination of invalid images are realized. According to the method, efficient classified storage of wild animal images and automatic analysis and visual display of wild animal data can be realized, and the intelligent level of wild animal image management is improved.

Description

technical field [0001] The invention relates to the field of artificial intelligence-based wild animal monitoring image processing technology, in particular to a wild animal image automatic recognition system based on big data and deep learning. Background technique [0002] The construction of ecological civilization is the basic national policy of our country, and the protection of wild animal resources is an important means to maintain ecological balance. In order to help the scientific and effective protection of wild animals, it is necessary to collect a large amount of rich wild animal monitoring information. Traditional monitoring methods and data processing methods are inefficient and require a lot of manpower, material and financial resources. Systematic and intelligent wildlife monitoring system is the main development trend in the future. [0003] The monitoring method based on wireless sensor network has the characteristics of wide application range, high effici...

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): G06T5/00G06T7/11G06F16/27G06K9/32G06K9/62G06N3/04G06N3/08
CPCG06T7/11G06F16/27G06N3/08G06T2207/10004G06T2207/20104G06T2207/20081G06T2207/20084G06V10/25G06N3/045G06F18/214G06T5/73G06T5/70
Inventor 谢将剑张军国常峰源柴垒
Owner BEIJING FORESTRY UNIVERSITY
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