Method and system for testing batch focus of camera modules

A camera module and testing method technology, applied in image communication, television, electrical components, etc., can solve problems such as low production testing efficiency, and achieve the effects of improving production testing efficiency, reducing testing workload, and reducing sampling test points.

Active Publication Date: 2019-03-08
SHENZHEN CZTEK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for batch focus testing of camera modules, aiming to solve the problem of low production test efficiency caused by a large number of repeated test sampling points for batch focus tests of existing camera modules

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  • Method and system for testing batch focus of camera modules
  • Method and system for testing batch focus of camera modules

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Experimental program
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Embodiment 1

[0035] figure 1 A flow chart showing the implementation of the camera module batch focus testing method provided by Embodiment 1 of the present invention is shown.

[0036] The camera module batch focusing test method provided by the present invention mainly includes the following steps:

[0037] Step S101, controlling the camera module of the training group to perform an autofocus test, and performing learning and training according to the obtained focus test data, and establishing a relationship model between the MTF curve and the motor position;

[0038] In the embodiment of the present invention, the same batch of camera modules to be tested can be divided into: a training group, a verification group and a test group, wherein the number of camera modules in the training group and the verification group is much smaller than that of the test group, and the number of training groups It can be set according to the fineness of the selected neural network, and the number of ver...

Embodiment 2

[0058] figure 2 A flow chart showing the implementation of the camera module batch focus testing method provided by Embodiment 2 of the present invention is shown. For ease of description, only parts related to the embodiments of the present invention are shown.

[0059] As a preferred embodiment of the present invention, step S101 in Embodiment 1 can be realized through the following steps:

[0060] Step S201, extracting an MTF curve from the acquired focus test data;

[0061] Step S202, performing learning and training according to the MTF curve to generate training samples;

[0062] Step S203, constructing a neural network-based relational model according to the training samples.

[0063] In the embodiment of the present invention, after learning and training by acquiring the focus test data of the training group, the relationship model between different MTF curves and motor positions can be constructed in the camera module batch focus test system, and the sensitivity o...

Embodiment 3

[0065] image 3 A flow chart showing the implementation of the camera module batch focus testing method provided by Embodiment 3 of the present invention is shown. For ease of description, only parts related to the embodiments of the present invention are shown.

[0066] As a preferred embodiment of the present invention, step S102 in Embodiment 1 can be realized through the following steps:

[0067] Step S301, controlling the camera module of the verification group to perform an auto-focus test, and generating corresponding focus test data;

[0068] Step S302, setting a plurality of verification sample points, and obtaining focus test data corresponding to the camera module at the verification sample points, the focus test data including MTF curve, motor position and MTF curve verification results;

[0069] Step S303, respectively predicting the optimal motor position according to the MTF curve corresponding to the verification sample point and the relationship model;

[0...

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Abstract

The invention is applicable to the field of optical imaging testing, and provides a method and system for testing batch focus of camera modules. The method comprises the following steps: controlling camera modules of a training group to perform an automatic focus test, performing learning training according to the focus test data, and establishing a relationship model between an MTF curve and themotor positions; controlling camera modules of a verification group to perform an automatic focus test to verify whether the relationship model passes the standard rate; if not, updating the relationship model according to the focus test data of the verification group; if so, controlling camera modules of a test group to perform a single focus test, predicting the optimal motor position by the single focus test data and the relationship model, and verifying the MTF curve of the optimal motor position. The method and system for testing batch focus of camera modules select a small amount of testdata in the early stage of the batch test to establish a relationship model through the neural network, and use the relationship model to predict the batch test of the optimal focus positions, whichgreatly reduces the sampling test points of the batch test and improves the test efficiency.

Description

technical field [0001] The invention belongs to the field of optical imaging testing, in particular to a camera module batch focusing testing method and system. Background technique [0002] At present, the optical imaging system represented by the camera module is a necessary component of smart phones, camcorders, drone aerial photography, automotive electronics and other application fields. According to market demand, most of the current camera modules are equipped with auto-focus function. Auto-focus refers to the process of changing the object distance and distance position through the focus mechanism (motor) in the camera to make the image of the object being photographed clear. In order to facilitate the use of customers, during the production process of the camera module with auto focus function, according to the needs of end customers, the motor position corresponding to the clearest image captured by the camera module needs to be saved in the memory of the camera mo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N17/00
CPCH04N17/002
Inventor 辛小枫王林旺范艳根
Owner SHENZHEN CZTEK
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