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
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  • 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

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  • Visibility recognition algorithm based on AI technology

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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...

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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

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Application Information

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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
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