Multifunctional rotation device used for carrying out machine vision shooting

Abstract

The invention provides a multifunctional rotation device used for carrying out machine vision shooting. The device comprises a supporting foundation, a motor I, a motor mounting seat, a motor shaft coupling, a rotating shaft, a motor II, a camera supporting rack, a tray shaft coupling, a bearing tray, a camera fixing rack and a camera, wherein the motor I is fixed through the supporting foundation, the motor I is connected with the rotating shaft through the motor shaft coupling to drive the bearing tray to rotate, the bearing tray is connected with the rotating shaft through the tray shaft coupling, the motor I and the motor II are fixedly connected through the motor mounting seat, the motor II is connected with the camera supporting rack, and the camera is connected with the supporting rack through the fixing rack. When the camera is required to rotate 360 DEG to shoot a fixed to-be-shot object, the to-be-shot object is arranged on the bearing tray, the camera supporting rack is driven by the motor II to rotate, and the camera shoots after rotating a certain angle; when the camera is required not to move, the to-be-shot object rotates 360 DEG for shooting, the to-be-shot object on the bearing tray is driven by the motor I through an output rotating shaft to rotate, and the camera shots whenever the to-be-shot object rotates a certain angle. The device is advantaged in that through machine vision multi-angle rotating shooting and scanning, object surface quality detection and three-dimensional surface contour reconstruction are realized.

Description

technical field [0001] The invention relates to a photographing rotating device, in particular to a rotating photographing device used for machine vision to detect the surface quality of an object. Background technique [0002] At present, in the production process of large quantities of industrial products, most of the products still need human eyes to detect the surface quality. Using human eyes to inspect the surface quality of products is inefficient, error-prone, and fatigue-prone, and the labor cost is high, while using machine vision to inspect the surface quality of products can greatly improve efficiency and automation, especially in some working conditions that are not conducive to human entry. Or under extremely harsh conditions, it is of great significance to replace artificial vision with machine vision. [0003] Using machine vision to detect the surface quality of products, to obtain a three-dimensional overall picture of the product, it can be achieved throu...

AI Technical Summary

Problems solved by technology

Binocular or multi-eye vision requires multiple industrial cameras and support frames at the same time. The control system is relatively complex, takes up a lot of space, and the calibration of the coordinate positions between the cameras is complicated and costly. Minimizing the detection space through the research of detection methods has important practical significance for online processing and detection

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