Image processing hardware for counting massive object streams

Q4 Computer Science
P. Jonker, J. J. Gerbrands
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引用次数: 1

Abstract

A real-time pipelined image processing system operating in a time division multiplexing mode to serve up to 16 cameras, was realized to count the mass of a flow of bottles on a conveyor belt. The realized mass counting system proved to be a powerful tool capable of continuously counting bottles with a speed of approximately 500000 bottles a day per measurement point and with an accuracy of less then 0.5%.<>
用于计数大量对象流的图像处理硬件
实现了一种实时流水线图像处理系统,该系统以时分多路复用模式工作,可为多达16台摄像机提供服务,用于计算传送带上的瓶流质量。所实现的质量计数系统被证明是一个强大的工具,能够以每天每个测量点约50万瓶的速度连续计数瓶子,精度低于0.5%
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来源期刊
模式识别与人工智能
模式识别与人工智能 Computer Science-Artificial Intelligence
CiteScore
1.60
自引率
0.00%
发文量
3316
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