A multifunctional rotating device for machine vision shooting

Abstract

The invention provides a multifunctional rotating device for machine vision shooting, which consists of: a support base, a motor I, a motor mounting seat, a motor coupling, a rotating shaft, a motor II, a camera support frame, a tray coupling, a bearing Tray, camera fixing frame, camera; among them, the support base fixes motor Ⅰ, motor Ⅰ is connected to the rotating shaft through the motor coupling and drives the carrying tray to rotate, the carrying tray is connected to the rotating shaft through the tray coupling, and motor Ⅰ and motor Ⅱ pass through The motor mounting base is connected and fixed, the motor II is connected to the camera support frame, and the camera is connected to the support frame through the fixing frame. When the camera is required to rotate 360 ​​degrees around a fixed object to be photographed, the object to be photographed is placed on the carrying tray, and the motor II drives the camera support frame to rotate, and the camera completes the shooting every time it rotates at a certain angle; when the camera is required to not move, the object to be photographed When shooting with 360 degrees of rotation, the motor I drives the object to be photographed on the carrying tray to rotate through the output shaft. Every time the object rotates at a certain angle, the camera completes the photographing; the invention can take pictures, video and scan through multi-angle rotation of the machine vision to realize the object surface Quality inspection and 3D surface contour reconstruction.

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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