Reinforcement mesh grabbing control method based on visual recognition

A steel mesh and visual recognition technology, applied in the direction of program control manipulators, manufacturing tools, manipulators, etc., can solve the problems of increasing manual labor and increasing the selection cycle, so as to improve production efficiency, reduce uncertain injuries, and automate transfer and online effects

Active Publication Date: 2019-01-01
CHINA MINGSHENG DRAWIN TECH INVESTMENT CO LTD
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Problems solved by technology

And this kind of manual participation process often increases the cycle of selecting the requi

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  • Reinforcement mesh grabbing control method based on visual recognition
  • Reinforcement mesh grabbing control method based on visual recognition
  • Reinforcement mesh grabbing control method based on visual recognition

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[0037] The present invention will be described in detail below with reference to the accompanying drawings. The description in this part is only exemplary and explanatory, and should not have any limiting effect on the protection scope of the present invention. In addition, according to the description in this document, those skilled in the art can make corresponding combinations of features in the embodiments in this document and in different embodiments.

[0038] Examples of the present invention are as follows, such as figure 1 , a visual recognition-based grasping control method for steel mesh, comprising the following steps:

[0039] (1) Image acquisition and image processing: acquire the image of the material to be grabbed and perform storage analysis and preprocessing;

[0040] (2) Extraction of material features: The material image collected in step (1) and processed by the image will include the overall size of the steel mesh, the size of the mesh, whether or not to ...

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Abstract

The invention relates to a reinforcement mesh grabbing control method based on visual recognition. The reinforcement mesh grabbing control method comprises the following steps that (1) image acquisition and image processing are carried out; (2) extraction of material features is carried out, wherein the material features including the reinforcement mesh overall size, the grid size, the hole forming condition, the hole size if holes are formed and the reinforcement thickness are extracted from material images collected from the step (1) and subjected to image processing; (3) feature matching iscarried out; (4) spatial positioning is carried out; and (5) movement of a grabbing mechanism and grabbing of the reinforcement mesh are carried out. According to the reinforcement mesh grabbing control method, visual identity is carried out on the reinforcement mesh to be grabbed, feature analysis is performed on the collected images, corresponding clamping, handling and releasing are carried out according to analyzed instructions, intelligent and automatic transferring and putting online of the reinforcement mesh can be achieved, the transfer time of the reinforcement mesh is saved, some uncertain damage during handling is reduced, labor cost is saved, and the production efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of construction machinery automation, and in particular relates to a visual recognition-based grabbing control method for steel mesh. Background technique [0002] In the PC prefabricated component industry of housing construction, the existing steel mesh, after the production is completed, uses a manual hoisting device to hoist and transport the mesh away, or stack it, or hoist it on the prefabricated component production line. This kind of handling and hoisting often requires two people to complete the corresponding work, and manual hoisting takes a longer time to hoist. If tooling is not used in the process of handling, you need to pay attention to the bending of the mesh, and then ensure that the upper When the prefabricated component table mold line is reached, the mesh can be put into the component side mold faster and better, and there are various unstable factors in manual lifting, such as shaking, u...

Claims

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Application Information

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IPC IPC(8): B25J9/16
CPCB25J9/1612B25J9/1697
Inventor 林艳江
Owner CHINA MINGSHENG DRAWIN TECH INVESTMENT CO LTD
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