A method for detecting optical performance of an AR light machine

By controlling the AR optomechanical display feature chart and combining it with image acquisition and processing algorithms, the problem of inconsistent detection results in traditional AR optomechanical detection is solved, and the integrated detection of multiple optical performance parameters is realized, improving detection efficiency and accuracy.

CN122108544APending Publication Date: 2026-05-29SHANGHAI JINGYUE LANTU OPTOELECTRONICS CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI JINGYUE LANTU OPTOELECTRONICS CO LTD
Filing Date
2026-03-06
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In traditional AR optical performance testing methods, the testing by multiple independent devices leads to differences in measurement benchmarks and conditions, making it difficult to accurately distinguish the source of the problem and affecting the consistency and efficiency of the test results.

Method used

An optical performance testing method using an AR optical engine is proposed. By controlling the AR optical engine to sequentially display feature charts, and combining image acquisition and image processing algorithms, multiple optical performance parameters, including modulation transfer function, field of view, distortion, and brightness uniformity, are calculated to achieve integrated testing.

Benefits of technology

It achieves integrated detection of multiple optical parameters, avoids systematic errors, improves detection efficiency and accuracy, and ensures the consistency and reliability of detection.

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Abstract

The present application relates to the technical field of augmented reality device detection, and especially relates to an optical performance detection method of AR light machine. The method controls the AR light machine to display different characteristic Chart images in sequence, and then uses a special algorithm to calculate modulation transfer function, field of view, distortion, luminance uniformity, chrominance uniformity, ghost image, Boresight error, Rotation error, virtual image distance, pixel offset, bad point and white balance after the image acquisition device collects images. The present application realizes integrated detection of all optical performances in a set of system, solves the problem of inconsistent data caused by scattered detection of multiple devices, and significantly improves the detection efficiency and accuracy.
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