Camera lens detection device based on machine vision

Abstract

The present invention discloses a camera lens detection device based on a machine vision, comprising a detection box. Electric hydraulic cylinders are fixedly disposed at four corners of the bottom ofan inner wall of the detection box. Output ends of the four electric hydraulic cylinders are respectively fixedly connected to four corners of a platform bottom. A DCC camera is fixedly disposed at the center of one side of the inner wall of the detection box. A reducing motor is fixedly disposed at the center of one side of the detection box. The present invention, using a setting manner of theplatform, facilitates a worker to detect the thickness and diameter of a lens on the platform. Through the electric hydraulic cylinders, the platform can be driven to enter the interior of the detection box for flaw detection. The device increases efficiency of the detection. The present invention, using a setting manner of a light source on a disc, can adjust an angle of the light source when thedisc rotates under the driving of an electric extension rod and the reducing motor. Therefore, the device can increase detection scope of surface flaws of the lens and a detected image is more clear.

Description

technical field [0001] The invention relates to the field of camera lens detection, in particular to a camera lens detection device based on machine vision. Background technique [0002] The camera lens is the most important part of the camera, because its quality directly affects the quality of the captured image. At the same time, the lens is also one of the most important criteria for classifying camera types and grades. Generally speaking, according to the lens, cameras can be divided into three grades: professional cameras, quasi-professional cameras and ordinary cameras. Whether it is a traditional film camera or a digital camera, this division can be applied. Lenses can be divided into two categories: zoom and fixed focus. [0003] In the prior art, when detecting flaws on camera lenses, external factors have a decisive influence on the detection of lenses, especially the influence of external light. Due to the influence of external light sources on ordinary detecti...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, when detecting flaws on camera lenses, external factors have a decisive influence on the detection of lenses, especially the influence of external light. Due to the influence of external light sources on ordinary detection platforms, the detection of lens flaws It will be inaccurate, and the light source lamp for detection is fixed, so it is not convenient to detect every part of the lens

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