Intelligent Image Processor based on neuron-MOS image sensor merged architecture

基于神经元-MOS图像传感器融合架构的智能图像处理器

基本信息

  • 批准号:
    06402038
  • 负责人:
  • 金额:
    $ 15.3万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for General Scientific Research (A)
  • 财政年份:
    1994
  • 资助国家:
    日本
  • 起止时间:
    1994 至 1995
  • 项目状态:
    已结题

项目摘要

An image captured on an image sensor chip has an enormous amount of information. It is spatially two-dimensional and, if motion is concerned, it becomes three dimensional because time axis is added. It is almost impossible to perform a real-time recognition of the image by a sequential computation on general purpose computers even if it is the most advanced one of today. The purpose of this research is to develop a basic hardware of integrated-circuit systems that can perform real-time intelligent image recognition. Two integrated circuits have been developed that can real-time detect and trace the movement of an object using a high-functionality device called Neuron MOS transistor (vMOS) as a key circuit element. The processing is conducted on two sets of one-dimensional data obtained by projecting a two-dimensional image data onto x- and y-axs. As a result, it has become possible to detect the motion vector between two successive frames within a few hundred nono secondS,which usually takes about a few tens miliseconds using plural of dedicated DSP chips. We also developed a circuit which can real-time track the position of the center of mass of a moving image. Owing to the vMOS circuit technology, such a processing can be done in several tens nano seconds using a very simple hardware. The characteristic feature of the vMOS integrated circuits is that it accepts analog signals, processing in analog/digital merged hardware computation and yields answers all in digital format. Therefore vMOS circuit technology provides an ideal interfacing between the real world and computer world.
在图像传感器芯片上捕获的图像具有大量信息。它在空间上是二维的,如果考虑到运动,它就变成三维的,因为增加了时间轴。即使是当今最先进的通用计算机,也几乎不可能通过顺序计算来执行图像的实时识别。本研究的目的是开发一种能够进行实时智能图像识别的集成电路系统的基本硬件。已经开发了两种集成电路,可以使用称为神经元MOS晶体管(vMOS)的高功能器件作为关键电路元件来实时检测和跟踪物体的运动。对通过将二维图像数据投影到x轴和y轴上而获得的两组一维数据进行处理。结果,已经可以在几百九秒内检测两个连续帧之间的运动矢量,这通常需要使用多个专用DSP芯片花费大约几十毫秒。我们还开发了一个电路,可以实时跟踪运动图像的质心位置。由于vMOS电路技术,这种处理可以使用非常简单的硬件在几十纳秒内完成。vMOS集成电路的特征在于它接受模拟信号,在模拟/数字合并硬件计算中进行处理,并以数字格式产生所有答案。因此,vMOS电路技术提供了真实的世界和计算机世界之间的理想接口。

项目成果

期刊论文数量(39)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
T.Ohmi: "Intelligeme Implementation on Silicon Based on Four-Terminal Device Electronics" Proc.20th International Conf.on Microelectronics(MILE'95) Nis,Serbia,Sert.,1995. 11-18 (1995)
T.Ohmi:“基于四端子器件电子学的硅智能实现”Proc.20th International Conf.on Micro electronics(MILE95) Nis,塞尔维亚,Sert.,1995。
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K.Kotani: "Clocked-neuron MOS logic Circuits employing autothreshold adjustment" Digest of Technical Papers,IEEE International Solid-State Circuit Conference. 320-321 (1995)
K.Kotani:“采用自动阈值调整的时钟神经元 MOS 逻辑电路”技术论文文摘,IEEE 国际固态电路会议。
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T.Ohmi and T.Shibata: ""Intellligence Implementation on Silicon Based on Four-Terminal Device Electronics"" Proceedings, 20th International Conference on Microelectronics (MIEL'95), Nis, Servia, September. Vol.1. 11-18 (1995)
T.Ohmi 和 T.Shibata:“基于四端子器件电子学的硅智能实现”论文集,第 20 届国际微电子会议 (MIEL95),塞尔维亚尼什,9 月。
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T.Ohmi and T.Shibata: ""Intelligence Implementation on Silicon Based on Four-Terminal Device Electronics"" accepted for publication in the Special issue of the Microelectronics Journal "Advances in Microelectronics". (to be published).
T.Ohmi 和 T.Shibata:“基于四端子器件电子学的硅智能实现”接受发表在微电子杂志“Advances in Micro electronics”的特刊上​​。
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K.Kotani: "DC-Current free low-power A/D Conuerfer Cirautry Using Dynamic Latch Comparators with divided capacitance voltage rolerence" 1996 IEEE International Symposium on Circuit and Systems (ISCAS96). 205-208 (1996)
K.Kotani:“使用带有分压电容电压角色的动态锁存比较器的无直流电流低功耗 A/D Conuerfer Cirautry”1996 年 IEEE 国际电路与系统研讨会 (ISCAS96)。
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  • 批准号:
    14550419
  • 财政年份:
    2002
  • 资助金额:
    $ 15.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
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