Camera test device, camera adjustment method and camera test system

Abstract

The embodiment of the invention relates to the field of communication, and discloses a camera test device, a camera adjustment method and a camera adjustment system. According to the scheme of the invention, the camera test device includes a supporting mechanism, a clamping mechanism and an adjustment mechanism; the adjustment mechanism includes an X-axis adjustment module, a Y-axis adjustment module and a Z-axis adjustment module; the X-axis adjustment module drives the clamping mechanism to perform a reciprocating motion in the X-axis direction; the Y-axis adjustment module drives the clamping mechanism to perform a reciprocating motion in the Y-axis direction; and the Z-axis adjustment module drives the clamping mechanism to perform a reciprocating motion in the Z-axis direction. According to the scheme of the invention, the location of a camera can be automatically adjusted, so that when testing the effect of the camera, image test tools such as color cards and the like can be automatically imaged in the middle of a preview image, test errors caused by artificially moving a bracket in the prior art can be avoided, the manpower and material resources can be saved, and the operation mode is more automatic.

Description

technical field [0001] The embodiments of the present invention relate to the communication field, and in particular to a camera testing device, a camera adjustment method, and a camera adjustment system. Background technique [0002] With the continuous development of communication technology and the continuous advancement of science and technology, electronic products such as mobile phones or notebook computers have become indispensable tools in people's daily life, and it is more common to use the camera of the mobile phone to take pictures. At present, during research and development, in the process of testing the effect of the mobile phone camera, the mobile phone needs to be fixed by a fixing bracket. However, the structure of the existing bracket is relatively simple and clumsy, and only fixes the mobile phone. During the test, it is necessary to manually move the stand so that the image of the image test tool such as the color card is in the middle of the preview im...

AI Technical Summary

Problems solved by technology

[0003] There are at least the following problems in the prior art: manual real-time detection of whether the previewed image is centered is prone to human error, resulting in the phenomenon that the image preview is not centered, resulting in low accuracy

When the camera to be debugged is the front camera of the mobile phone, people need to put their heads into the light box to adjust, which is a waste of human resources and cumbersome

Images