Active alignment method applied to camera module

Abstract

The invention provides an active alignment method applied to a camera module, and the method comprises the steps: obtaining the optimal parameters of a CMOS chip and an ISP chip through adjusting theadaptation of the parameters of the CMOS chip and / or the ISP chip of a camera with an active alignment graphic card and / or an illumination environment in an active alignment process, and enabling theadaptation process to comprise the quality analysis of an imaging image, after parameters of a CMOS chip and / or an ISP chip of a camera are / is continuously adjusted, carrying out skipping to execute calculation area image analysis or real-time MTF calculation result analysis or the process of optimal active alignment parameter judgment meets preset conditions, and therefore optimal active alignment parameters are obtained. By applying the technical scheme provided by the invention, the problem in the prior art that the calculation precision of active alignment is greatly influenced when the LENS, CMOS and ISP matching types of different cameras are different or the illumination environment is different can be solved, so that the imaging difference degree of the produced camera is increased.

Description

technical field [0001] The invention relates to the field of cameras, in particular to an active alignment method applied to a camera module. Background technique [0002] With the rapid development of the Internet of Things and autonomous driving technology, the application of terminal sensors, especially image sensors, has exploded, and the demand for vehicle-mounted cameras and wide-angle cameras has increased sharply in applications. At the same time, the application of the camera is not limited to displaying images on the display screen for subjective observation of the environment, but is more applied to image processing, recognition and other fields, which puts forward higher precision requirements for the clarity and consistency of the camera. Active Alignment (AA) production technology, referred to as Active Alignment, came into being under this demand. Active Alignment technology uses the image information collected by the camera to automatically adjust the focal l...

AI Technical Summary

Problems solved by technology

[0003] The current active alignment technology is gradually developing, but due to the LENS, CMOS and ISP matching of different cameras, the image quality of the camera is quite different, and the environment of the active alignment is also different, which has a great impact on the calculation accuracy of the active alignment. The impact of multiple active alignments on the same module often results in differences in the final results of the active alignment due to the above reasons, manifested as significant scaling of the imaging, image displacement, etc., which makes the imaging performance of the final camera consistent. Reduced, thus affecting the successor products for high-precision image processing applications

In the existing technology, in order to improve the quality of active alignment of different camera modules, active alignment equipment suppliers or module manufacturers often need to manually debug in advance for active alignment of different camera products, and the active alignment chart Replace the camera according to the characteristics of the camera, and adjust the on-site lighting environment so that the image quality of the active alignment calculation area can achieve the best active alignment results, which is very important for the material and diversity of the active alignment graphics card and lighting components. The diversity brings new requirements, and at the same time puts forward higher requirements for the professionalism of the active alignment equipment debugging personnel. It often happens that the active alignment equipment debugging personnel repeatedly debug due to the difference in knowledge, and the trial production can be stable after multiple trials. Case

There are many attempts to this problem in the prior art. For example, patent 201610698589.6 discloses a multi-axis active alignment method for mobile phone camera modules, which measures the best image quality index value according to all preset image local measurement areas. , calculate the deviation between the center of the lens and the center of the image sensor base plate in the X-Y direction; calculate the number of steps of the motor that controls the movement of the lens in the X-Y direction; change the position of the lens along the Z-axis direction, and record the position of the lens and the imaging system after each change. The position is compared to the photos taken by the image detection board; the corresponding lens position when the image quality index of the preset image local measurement area in all the photos is calculated is the best, and the distance between them and the lens position when the image center position obtains the best image quality index is calculated The difference between them; according to the above distance difference, calculate the number of steps of the motor that controls the rotation of the lens when the lens is parallel, and move the motor to correct the tilt of the lens, but for different manufacturers of camera modules or different models of cameras group, it is necessary to replace the special customized active alignment chart card that matches the module. In addition, when the active alignment process and the lighting environment change, the accuracy of the assembled camera module is low

Images