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Embedded part detection method and system

A detection method and detection system technology, applied in computer parts, image data processing, instruments, etc., can solve the problems of inaccurate, time-consuming and labor-consuming detection results, etc., to simplify the operation process, save detection time, and achieve accurate detection results Effect

Pending Publication Date: 2021-11-26
三一建筑机器人(西安)研究院有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Therefore, the technical problem to be solved by the present invention is to overcome the time-consuming and labor-intensive defects of the embedded part detection method in the prior art and the inaccurate detection results

Method used

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specific Embodiment approach

[0043] Such as figure 1 A specific implementation of the shown embedded part detection method includes the following steps:

[0044] Step S0: Obtain the standard position coordinates and type of embedded parts on the current mold table through the central control system;

[0045] Among them, the standard position coordinates and types of embedded parts are obtained through the central control system, which automatically extracts the standard position coordinates and types of embedded parts from the database files assembled by prefabricated components and embedded parts, and saves them in the central control system It is more convenient and accurate without manual input.

[0046] Step S1: Take pictures of the prefabricated components and embedded parts set on the mold table to obtain actual assembly images;

[0047] Among them, by setting the camera to take pictures of the prefabricated components and embedded parts, the camera can be selected according to different precision...

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PUM

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Abstract

The invention provides an embedded part detection method and system, and belongs to the technical field of prefabricated buildings, and the method comprises the following steps: S0, obtaining the standard position coordinate and type of an embedded part; S1, photographing a prefabricated part and an embedded part to obtain an actual assembly image; s2, correcting the distortion of the actual assembled image to obtain a corrected assembled image; s3, inputting the corrected and assembled image into a deep learning classification network, and identifying position coordinates and types of the embedded parts; and S4, comparing the position coordinate and the type of the embedded part with the known standard position coordinate and the type of the embedded part. According to the embedded part detection method provided by the invention, manual measurement and detection are not needed, time and labor are saved, the detection result is accurate, a photographing mode is adopted, the detection time is saved, an actual image of the embedded part can be photographed, accurate identification of the embedded part is facilitated, a new prefabricated part does not need to establish an image standardization template, and the operation process is simplified.

Description

technical field [0001] The invention relates to the technical field of prefabricated buildings, in particular to a detection method and system for embedded parts. Background technique [0002] The prefabricated building mode requires pre-preparation of various prefabricated components before construction. In the automatic production process of prefabricated components, usually after the steel skeleton combination is completed, the embedded parts need to be placed on the designated position of the prefabricated component production formwork. The type and installation position of the embedded parts need to be carried out in strict accordance with the drawings. Therefore, after the embedded parts are embedded in the prefabricated components, it is necessary to check whether the type of embedded parts is correct and whether the installation is in place. In the prior art, manual measurement is usually used for detection. However, this method is time-consuming and labor-intensive,...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T7/73G06T5/00G06T7/80
CPCG06T7/73G06T7/80G06F18/2414G06T5/80
Inventor 邓凯文彭英辉
Owner 三一建筑机器人(西安)研究院有限公司
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