Automatic optical detection method, device and system of mobile phone camera module

Abstract

The invention provides an automatic optical detection method, device and system of a mobile phone camera module. The method comprises the following steps of: a. connecting a mobile phone camera module with a control computer and reading a test picture shot by the mobile phone camera module; b. judging whether the mobile phone camera module has serious screen blurring or not according to the test picture; if not, turning to the step c; otherwise, judging that the mobile phone camera module is an unqualified product; c. sending a white board setting command to a control circuit by the control computer so that a white board is arranged at the shooting position for shooting a white board image; d. after reading the white board image, judging that the mobile phone camera module has no slight screen blurring by a slight screen blurring detection module; then carrying out lens smudginess detection by a smudginess detecting module on the basis of the white board image; and if the smudginess does not exist, the mobile phone camera module is a qualified product. The automatic optical detection method, device and system of a mobile phone camera module can carry out automatic detection on the serious screen blurring, slight screen blurring and smudginess which probably occur on the mobile phone camera module and have the advantages of accuracy, reliability, high detecting efficiency and the like.

Description

technical field [0001] The invention relates to the field of automatic optical detection, in particular to an automatic optical detection method, device and system for a mobile phone camera module. Background technique [0002] The mobile phone camera module is composed of lens, lens holder, wafer, flexible circuit board and connector. During the production and assembly process of the module, problems such as image blur and dirt may occur, which will affect the use. Artifacts are caused by problems with the internal wiring of the module. They are divided into two categories according to their severity: severe artefacts and slight artefacts. Severe blurring will show large areas of color patches in the image, which are easier to distinguish; mild blurring will have no obvious color patches in the image, but only regional plaques. Dirt is caused by dust or other pollution on the surface of the chip (CCD), mainly manifested as black independent spots of different sizes on the...

AI Technical Summary

Problems solved by technology

However, due to 1) some blurred screens and dirty images are not obvious, operators are prone to omissions in observations on the fast dynamic imaging screen; Boring work causes visual fatigue, resulting in subjective missed and false detections; 3) The measurement scale is not strictly stable due to the subjective influence of the operator, and the product quality is difficult to be accurately controlled; 4) Due to the slow manual detection, many people are needed Work at the same time to meet the speed of product inspection, resulting in high labor costs

Therefore, the above-mentioned technologies are difficult to meet the increasing industrial requirements for production speed and product quality

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