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101, Building 2, No. 6 Songbailang Xinyuan 1st Road, Dalang Town, Dongguan City, Guangdong Province
Dongguan Gaosheng Electronic Precision Technology Co., Ltd
101, Building 2, No. 6 Songbailang Xinyuan 1st Road, Dalang Town, Dongguan City, Guangdong Province
1、 System Introduction
Virtual Display Optoelectronic Performance and Image Quality Testing SystemThe Shou VR and AR testing system is developed based on the principle of binocular retinal biomimetic imaging, specifically designed to analyze the optical performance and image quality testing of medical surgical robots under various ambient lighting conditions. Through optical structure design, a single measurement can obtain the spatial position, brightness, and chromaticity distribution of virtual images, as well as image quality parameters. Combined with specialized testing and evaluation software, the optical performance and display quality of virtual reality can be evaluated. The company's experts participate in the development of a series of international and national standards, and the system complies with virtual display standards such as IEC 63145-20-10:2019 "Eye mounted displays - Part 20-10: Basic testing methods - Optical performance series standard requirements", IEC 63145-20-20:2019 "Eye mounted displays - Part 20-20: Basic testing methods - Image quality", GB/T41265-2022 "Safety requirements for optical radiation of wearable devices", etc. We can provide customers with professional instrument technical support services.

Virtual Display Optoelectronic Performance and Image Quality Testing System
2、 Technical key points
The system can measure parameters such as monocular/binocular field of view brightness, contrast and uniformity, pupil (eye box) size, color difference, color gamut, pixel angular resolution, image distortion, virtual image distance, position accuracy, image resolution, binocular disparity, flicker, time response, etc. The system can also expand the optical performance, image quality, and radiation safety evaluation of specialized medical devices such as medical ophthalmology amblyopia training equipment and visual training equipment.

Software testing data instance