Large-scale image data processing system and method

Abstract

The invention discloses a large-scale image data processing system and method. The system comprises the components of: a high-speed visual chip core processing module used for carrying out hierarchical multi-stage parallel deep learning algorithm processing on input image data and comprising a processing core module and a processing block array, the processing block array comprises M * N processing blocks which are connected and configurable, M and N are positive integers, and each processing block comprises a micro-processing unit array; wherein the processing core module is used for connection configuration, operation control and state monitoring of the whole processing block array, and can realize global image data processing; wherein each processing block in the processing block arrayis used for parallel processing of various images with different resolutions; wherein the micro-processing unit array comprises P micro-processing units, and P is a positive integer and is used for realizing parallel processing of pixel-level data. The system has the comprehensive performances of simple structure, low power consumption, high energy efficiency, high data throughput rate and high target identification precision.

Description

technical field [0001] The disclosure belongs to the technical field of data processing and artificial intelligence, and relates to a large-scale image data processing system and method. Background technique [0002] With the rise of artificial intelligence, the touch and vision of machines have become important research directions. Among them, image target recognition, as an important research direction of machine vision, has been widely used in medical, agricultural, industrial, national defense and transportation and other fields. , such as target tracking, video surveillance, information security, automatic driving, image retrieval, remote sensing image analysis, and UAV navigation. [0003] Target recognition is to distinguish the target in the image or video from the uninteresting part, judge whether there is a target, and determine the position of the target if the target exists. It is difficult to achieve high-speed and high-efficiency, especially as the image resol...

AI Technical Summary

Problems solved by technology

[0003] Target recognition is to distinguish the target in the image or video from the uninteresting part, judge whether there is a target, and determine the position of the target if the target exists. It is difficult to achieve high-speed and high-efficiency, especially as the image resolution becomes higher and the scale of image data becomes larger and more complex, how to achieve high-speed, real-time data processing becomes even more difficult

[0004] Existing image processing systems generally can only process small-scale data, and parallel processing cannot be achieved if different algorithms are used at the same time during the processing process. Corresponding to large-scale image data processing, there are problems such as slow processing speed, low accuracy, and inconsistent algorithms. Compatibility and other issues

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