Optical lens, camera module and electronic equipment

Abstract

The invention provides an optical lens, a camera module and electronic equipment. The optical lens comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens and a sixth lens which are sequentially arranged from the object side to the image side. The first lens, the third lens and the fifth lens all have positive focal power, the second lens and the fourth lens all have negative focal power, and the sixth lens has positive focal power or negative focal power. The object side surface and the image side surface of the first to sixth lenses comprise at least one non-rotationally symmetrical aspheric surface. When the optical lens is applied to the camera module and the electronic equipment, the camera module and the electronic equipment not only can realize ultra-wide-angle shooting, but also can solve the distortion problem in ultra-wide-angle imaging to a greater extent.

Description

technical field [0001] The present application relates to the lens field, in particular to an optical lens, a camera module and electronic equipment. Background technique [0002] In recent years, the demand for mobile phone photography is getting higher and higher, especially the popularity of large-size, high-pixel CMOS (complementary metal oxide semiconductor, complementary metal oxide semiconductor) chips. Major manufacturers are pursuing thinner and smaller lenses. Imaging quality puts forward more stringent requirements. However, traditional mobile phones have obvious distortion problems in imaging. At present, in order to solve the problem of distortion, the distortion is generally reduced by means of algorithmic cropping or algorithmic compensation for distortion. However, the method of compensating distortion through algorithms has the risk of loss of resolution, and real-time correction in video application scenarios or photo preview mode needs to consume system ...

AI Technical Summary

Problems solved by technology

However, the method of compensating for distortion through algorithms has the risk of loss of resolution, and real-time correction in video application scenarios or photo preview mode needs to consume system resources, which poses great challenges to device power consumption, heat dissipation, and processing speed.

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