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

Visibility recognition algorithm based on AI technology

A recognition algorithm and visibility technology, applied in character and pattern recognition, calculation, computer parts and other directions, to achieve the effect of reducing error sources, high accuracy and convenient application

Pending Publication Date: 2021-03-09
广东华风海洋信息系统服务有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing AI technology does not have a method that can quickly and accurately identify visibility

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
  • Visibility recognition algorithm based on AI technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] 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. 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.

[0021] Please refer to the accompanying drawings of the description, the present invention provides a technical solution: a visibility recognition algorithm based on AI technology, comprising the following steps:

[0022] Step 1, perform numerical calibration of visibility on the collected image data;

[0023] Step 2: Divide all data samples into a training set and a validation set according to a specific ratio;

[0024] Step 3: Select the identification feat...

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 a visibility identification algorithm based on an AI technology. The visibility identification algorithm comprises the following steps: step 1, carrying out visibility numerical calibration on acquired picture data; step 2, dividing all the data samples into a training set and a verification set according to a specific ratio; step 3, selecting recognition features; step 4,constructing a likelihood function f (theta) about the feature vector, wherein theta is a parameter vector; step 5, setting theta initial values, and sequentially substituting training set samples until errors of parameter estimation values and calibration values of the samples converge; step 6, substituting theta finally obtained in the step 5 into the visibility function; wherein the step 1 to the step 6 are basic steps; step 7, substituting a sample in the verification set into the visibility function obtained in the step 6, and observing an error between a calculated value and a calibration value; and step 8, if the error between the calculated value and the calibration value in the step 7 converges, indicating the visibility function obtained in the step 6 is the solved visibility function, otherwise, adjusting the calibration value, and repeating the basic steps until the error range of the verification set meets the requirement.

Description

technical field [0001] The invention relates to a visibility recognition algorithm based on AI technology, which belongs to the technical field of transportation. Background technique [0002] Visibility is an important safety indicator in the transportation industry, and the acquisition of high quality and accuracy is of great significance. [0003] Traditional visibility acquisition relies on the naked eye (visual inspection) or instruments (measurement). Visibility with the naked eye is the farthest distance that the human eye can recognize objects without other auxiliary tools; this method may be affected by factors such as people's innate conditions (sight) and the ability to recognize things, and there are obvious errors. Instruments measure visibility, and measure visibility through optical instruments (pieces); usually, optical instruments are expensive, and the use process is cumbersome and depends on certain optical knowledge. In view of the various inconvenience...

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): G06K9/62G06K9/46
CPCG06V10/56G06F18/2411G06F18/214
Inventor 张璠陈然张玉松陈仲亮
Owner 广东华风海洋信息系统服务有限公司
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