Machine vision device capable of achieving double-faced imaging

Abstract

The invention discloses a machine vision device capable of achieving double-faced imaging. The machine vision device comprises a camera, a mirror, a wedge block, an installation groove and a fastening screw, wherein the installation groove is cuboid, the middle of the bottom of the installation groove is provided with a bar-shaped through hole in the length direction, the inside of the installation groove is provided with the wedge block, the bottom of the wedge block is provided with the fastening screw, the fastening screw penetrates through the through hole and is fixed through a fastening nut, the wedge block is provided with the mirror, one side of the mirror is hinged to the installation groove, and the camera is arranged over the installation groove. The camera can simultaneously collect the images of the front face and the back face of a workpiece, high flexibility of adjustment of the imaging effect is achieved, adjustment can be achieved at any time according to specific characteristics of the workpiece, the situation that the whole structure greatly changes due to changes of temperature of external environment cannot occur, good environmental adaptation is guaranteed, and the machine vision device is simple in structure, convenient to dismantle and capable of being taken down at any time for cleaning and maintenance.

Description

technical field [0001] The invention belongs to the field of equipment installation, in particular to the field of machine vision, and specifically relates to a double-sided imaging machine vision device. Background technique [0002] Machine vision technology is more and more widely used in the detection of industrial products. In order to comprehensively detect the characteristic information of products, new requirements are often put forward for the peripheral equipment of the vision system except cameras. There are following problems in practical applications: (1) One camera can only collect images of one side of the workpiece, and at least two cameras are required to collect information on the front and back sides of the workpiece, which will inevitably increase the cost of the vision system; (2) Most of the vision inspection systems in industrial applications are installed in On the assembly line, there is a conflict between installing the camera on the front and back ...

AI Technical Summary

Problems solved by technology

[0002] Machine vision technology is more and more widely used in the detection of industrial products. In order to comprehensively detect the characteristic information of products, new requirements are often put forward for the peripheral equipment of the vision system except cameras. There are following problems in practical applications: (1) One camera can only collect images of one side of the workpiece, and at least two cameras are required to collect information on the front and back sides of the workpiece, which will inevitably increase the cost of the vision system; (2) Most of the vision inspection systems in industrial applications are installed in On the assembly line, there is a conflict between installing the camera on the front and back and the movement of the conveyor; (3) installing the camera on the front and back will result in no place for the light source to be installed, and the rear lighting system cannot be applied directly; (4) Even if it is feasible, an extra pair of light source and camera will increase the cost of the system

In addition, in the application of the vision system in complex industrial occasions, the installation frame is also required to have flexible adjustment capabilities. At present, there is no device that can provide the machine vision system to enable it to collect the front and back information of the workpiece.

Only detecting information on one side of the workpiece will directly lead to unqualified products flowing to the next process or entering the consumer market. Poor shock resistance will cause blurred shadows in the image information collected by the vision system. The limited adjustment ability will greatly reduce the flexibility of the vision system. All of these make the traditional vision system unable to meet the ideal detection requirements, and also restrict the application field of machine vision

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