A Distributed Architecture Image Processing System

Abstract

The invention discloses an image processing system with a distributed architecture. The image processing system comprises a core controller and a plurality of embedded GPUs, wherein the core controller comprises an address channel, an image channel and a result channel which are parallel; wherein the address channel is used for receiving configuration parameters sent by remote control equipment; wherein the image channel is used for receiving image data to be processed and decoding the image data, distributing the image data to the corresponding embedded GPUs according to a target equipment mask obtained by decoding, and executing parallel data processing by the plurality of embedded GPUs; the result channel is used for receiving and outputting a processing result of the embedded GPU on the image data; based on the architecture of the FPGA core control panel and the plurality of embedded GPUs, the image processing speed is greatly improved, the structure simplification, high integration and system miniaturization of the system are realized, the use flexibility of the system is enhanced, and the test requirements of a large-size and high-resolution display panel are met.

Description

technical field [0001] The invention belongs to the technical field of image processing, and more specifically relates to an image processing system with a distributed architecture. Background technique [0002] With the development of LCD and OLED display industries, image processing systems for automatic optical inspection (Automated Optical Inspection, AOI) of LCD and OLED screens are more and more widely used. However, as panel manufacturers are advancing towards large-size, high-resolution display panels, the camera resolution, number of cameras, and data calculation required for inspection are getting higher and higher, and the inspection capabilities and system complexity of the AOI system are raised. High requirements; the AOI system not only needs to acquire image functions, but also needs fast image processing and calculation functions, resulting in a complex structure of the entire image processing system. [0003] The existing AOI optical image processing system...

AI Technical Summary

Problems solved by technology

[0004] (1) PC has limited computing and processing capacity, slow response speed, and the use of multiple PCs results in a large system volume;

[0005] (2) The system structure is complex, for example, for screens with different resolutions, different imaging units need to be configured;

[0006] (3) Separate system architecture, low flexibility in use and function

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