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Static load surcharge identification system based on machine vision and identification method thereof

A machine vision and recognition system technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as cheating, low efficiency, and inability to keep up with development requirements, to prevent cheating, ensure reliability, improve The effect of intelligence level

Pending Publication Date: 2020-11-06
元准智能科技(苏州)有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the stacking test borrows the previous test, separate manual work, low efficiency, only one-to-one test, there are cheating behaviors, and it cannot keep up with the development requirements of the intelligent era

Method used

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  • Static load surcharge identification system based on machine vision and identification method thereof

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Embodiment Construction

[0031] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0032] attached figure 1 Among them, a static load identification system based on machine vision, including a test platform 10, a background server 20 and a mobile terminal 30, the mobile terminal 30 includes an interconnected image acquisition module, GPS positioning module, accelerometer, compass and data Receive viewing module. The background service end 20 comprises the cloud computing service module and the background data service module which are connected to each other. The top of the test platform 10 is provided with a stacker 15. The background service end 20 and the mobile terminal 30 are connected through the Internet. The orientation information of the four side images is collected, and then the background server 20 performs data analysis and comparison, and the recognition result is sent to the mobile terminal 30 .

[0...

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Abstract

The invention relates to a static load surcharge identification system based on machine vision. The system comprises a test platform, a background server and a mobile terminal. The mobile terminal comprises an image acquisition module, a GPS positioning module, an accelerometer, a compass and a data receiving and viewing module which are connected with one another; the consistency identification of the static load surcharge test platform is realized by utilizing a machine vision and deep learning technology and comparing images acquired for multiple times, and whether the test platform is moved and changed or whether a test cheating condition exists or not is judged. The invention has the advantages that the operation is convenient, the recognition efficiency is improved, the cost is reduced, the intelligent level is improved, and the multiple mobile terminals and the multiple test platforms are synchronously recognized.

Description

technical field [0001] The invention relates to the field of static load identification technology, in particular to a machine vision-based static load identification system and an identification method thereof. Background technique [0002] In construction projects, it is necessary to conduct experimental analysis on the bearing capacity of the foundation. At present, the method of static load surcharge experiment measurement is widely used. Among them, the reliability of static load surcharge experiment data is an important guarantee for engineering safety. At this time, the real-time monitoring of the experimental platform is a very critical link, which ensures the reliability of the experimental data. [0003] At present, the stacking test borrows the previous test, separate manual work, low efficiency, only one-to-one test, there are cheating behaviors, and it cannot keep up with the development requirements of the intelligent era. [0004] To this end, we have develo...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/62G06T7/62G06N3/04G06Q50/08
CPCG06T7/62G06Q50/08G06V20/10G06V10/25G06N3/045G06F18/22
Inventor 卢颖程荣张亦明蒋发川许王鹏谢恩文
Owner 元准智能科技(苏州)有限公司