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Red and blue lamp body driving method using cloud computing

A driving method and cloud computing technology, applied in the field of cloud computing, can solve the problems of simple and rude identification mechanism, lack of authenticity of identification results, artificial identification of banknote authenticity, etc., to achieve reliable principles, effective data, avoid missed detection or The effect of false detection

Inactive Publication Date: 2021-09-17
李淑
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology uses Cloud Computation for identifying genuineness (authensis) of notes used at an offshore location by analyzing their color patterns with specific values from different angles. By doing this it can identify any mistakes that may occur during transport without affecting trustworthiness.

Problems solved by technology

The technical problem addressed by this patented method for identifying genuineness (authentication) of documents during electronic transactions involves improving the accuracy and reliability of recognizing digital images that have unique characteristics like fingerprint patterns.

Method used

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  • Red and blue lamp body driving method using cloud computing
  • Red and blue lamp body driving method using cloud computing
  • Red and blue lamp body driving method using cloud computing

Examples

Experimental program
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no. 1 approach

[0031] figure 1 It is a structural block diagram of a red and blue lamp body driving system using cloud computing according to the first embodiment of the present invention, and the system includes:

[0032] The red and blue indicator mechanism includes a red indicator light, a blue indicator light and a lamp body driver, and the lamp body driver is respectively connected with the red indicator light and the blue indicator light;

[0033] Such as figure 2 As shown, the lamp body driver included in the red and blue indicating mechanism simultaneously drives the red indicator light and the blue indicator light;

[0034] exist figure 2 Wherein, the red indicator light includes a red LED, a bridge rectifier unit, a capacitor unit and a resistor unit, similarly, the blue indicator light includes a blue LED, a bridge rectifier unit, a capacitor unit and a resistor unit;

[0035] The data extraction device is used to perform on-site image data acquisition operations on the bankn...

no. 2 approach

[0047] image 3 It is a flow chart of the steps of the red and blue light body driving method using cloud computing according to the second embodiment of the embodiment of the present invention. The method includes the following steps:

[0048] S301: Use a red and blue indicator mechanism, including a red indicator light, a blue indicator light, and a lamp body driver, the lamp body driver is respectively connected to the red indicator light and the blue indicator light, and the red and blue indicator mechanism Internal structure such as figure 2 shown;

[0049]S302: Use the data extraction device to perform on-site image data collection operations on the banknotes below it, so as to obtain and output corresponding on-site banknote images;

[0050] S303: Using object analysis equipment, using cloud computing nodes to implement, connected to the data extraction device through the network, for receiving the on-site banknote image, and extracting the area of ​​the on-site bank...

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Abstract

The invention relates to a red and blue lamp body driving method utilizing cloud computing. The method comprises the steps that employing a red and blue indicating mechanism; and using a data extraction device for executing field image data acquisition operation on the paper money below the data extraction device so as to obtain and output a corresponding field paper money image. The red and blue lamp body driving method based on cloud computing is reliable in principle and effective in data. Due to the fact that the numerical analysis mechanism of mean value analysis and mean square value analysis is introduced to identify the authenticity of the on-site paper money, accidents of missing detection or wrong detection are avoided.

Description

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Claims

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Application Information

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Owner 李淑