Design of PC video interface automatic detection system based on SOPC

Ke ZHU; Lei WANG; Jun WANG; Xin HE

doi:10.3788/YJYXS20173209.0714

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Design of PC video interface automatic detection system based on SOPC

Driver and System | 更新时间：2020-07-07

- Design of PC video interface automatic detection system based on SOPC
- Chinese Journal of Liquid Crystals and Displays Vol. 32, Issue 9, Pages: 714-720(2017)
- 作者机构：
  
  1.苏州科技大学, 江苏苏州 215009
  2.中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20173209.0714
  CLC： TP277
- Received：01 April 2017，
  
  Accepted：24 May 2017，
  
  Published：05 September 2017
- 稿件说明：
移动端阅览
Ke ZHU, Lei WANG, Jun WANG, et al. Design of PC video interface automatic detection system based on SOPC[J]. Chinese journal of liquid crystals and displays, 2017, 32(9): 714-720.
DOI：

Ke ZHU, Lei WANG, Jun WANG, et al. Design of PC video interface automatic detection system based on SOPC[J]. Chinese journal of liquid crystals and displays, 2017, 32(9): 714-720. DOI： 10.3788/YJYXS20173209.0714.

摘要

针对PC出厂时检测视频接口的不便性，从应用角度出发，提出一种基于可编程逻辑器件NIOS Ⅱ软核的PC端视频接口自动化检测系统设计。PC上位机播放特制视频，通过视频接口将图像传输至检测设备盒，设备盒通过NIOS Ⅱ软核控制视频芯片将HDMI、DP视频格式转换成VGA RGB格式，并通过硬核检测行信号（HSYNC）、场信号（VSYNC），将采集到有效显示像素的RGB值缓存在SRAM，并通过高速数据传输接口将数据返回给上位机进行对比。实验证明：该视频接口检测方式节省劳动成本，检测效率高，检测误差率小于1%，最高支持4K 30fps视频检测。

Abstract

A system for computer video interface automatic detection was proposed based on FPGA NIOS Ⅱ soft core

from the application point of view

when computers out of the factory. Computer plays a special video

and transmits the image to the detection equipment by video interface. Detection equipment converts HDMI

DP video signal into VGA RGB signal format through the video conversion chip controlled by NIOS Ⅱ soft core. Detection equipment detects line signal

field Signal

and then puts the values of pixel RGB in the SRAM. Computer reads data from detection equipment through the high-speed transmission interface. It is proved by experiments that the video interface detection method can save labor cost and has a high detection efficiency. The detection error rate is less than 1% and equipment can detect interface which outputs 4K video 30 frames per second.

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Keywords

references

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南昌大学裸眼立体技术与虚拟现实研究中心, 江西南昌 330031

南昌兴亚光电科技发展有限公司

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