Unlock instant, AI-driven research and patent intelligence for your innovation.

Ecological biological recognition method based on SPP-Net algorithm

A biometric and ecological technology, applied in the field of biometrics, can solve the problems of different image sizes and difficult image recognition of different sizes, and achieve the effect of fast operation and stable performance

Pending Publication Date: 2022-04-26
澜途集思(深圳)数字科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, it is necessary to identify ecological organisms. During ecological biological identification, it is difficult to accurately identify images of different sizes due to the different sizes of images collected.

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 SPP-Net algorithm
  • Ecological biological recognition method based on SPP-Net algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] 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 only some, not all, embodiments of the present invention.

[0024] refer to Figure 1-2 , an ecological biometric method based on the SPP-Net algorithm, comprising the following steps:

[0025] S1 initiates an ecological biometric identification request, and collects biological image data in the ecological environment according to the request;

[0026] S2 Preprocess the collected biological image data by image normalization method and image enhancement method to obtain preprocessed biological image data;

[0027] S3 performs target detection on the preprocessed biological image data through the SPP-Net algorithm;

[0028] S31 first searches the biological image to be detected to find 2000 candidate windows through selective...

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 SPP-Net algorithm, and the method comprises the following steps: initiating an ecological biological recognition request, and collecting biological image data in an ecological environment according to the request; preprocessing the acquired biological image data by adopting an image normalization method and an image enhancement method to obtain preprocessed biological image data; performing target detection on the preprocessed biological image data through an SPP-Net algorithm; and matching the detected biological image with the image information, and carrying out ecological biological recognition. According to the method, the whole image is input and the feature map of the whole image is extracted through the setting of the SPP-Net algorithm, and then the features of each region proposal are extracted from the feature map of the whole image in the spatial pattern pooling layer by using the spatial relationship, so that the size of the image does not need to be considered, the fixed-length network structure of the image is output, the expression is stable under the condition of image deformation, and the accuracy of the image deformation is improved. And the operation speed is high.

Description

technical field [0001] The invention relates to the technical field of biological identification, in particular to an ecological biological identification method based on the SPP-Net algorithm. Background technique [0002] With the continuous development of computer technology, biometric technology has been widely used. Among them, biometric technology refers to the use of inherent physiological characteristics and Behavioral features for biometric authentication. [0003] Aquatic biome and water environment have intricate interrelationships, and play an important role in water quality changes. Different types of aquatic organisms have different adaptability to water pollution, and some species are only suitable for living in clean water, which are called clear water organisms (or oligopollution organisms). Some aquatic organisms can live in sewage and are called sewage organisms. The survival of aquatic organisms marks the degree of water quality change, so organisms be...

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
IPC IPC(8): G06V40/10G06V20/05G06V10/764G06V10/32G06V10/30G06V10/42G06V10/25G06V10/74G06V10/52G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/22G06F18/2411
Inventor 杨志峰沈永明张远蔡宴朋
Owner 澜途集思(深圳)数字科技有限公司