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1. 发明授权

US4849737A Person-number detecting system 失效
标题翻译：人员检测系统
公开(公告)号：US4849737A
公开(公告)日：1989-07-18
申请号：US123105
申请日：1987-11-19
申请人： Shinji Kirihata , Tsunehiko Araki , Yuuki Yorifuji , Takashi Horii , Hiroshi Matsuda , Hidekazu Himezawa
发明人： Shinji Kirihata , Tsunehiko Araki , Yuuki Yorifuji , Takashi Horii , Hiroshi Matsuda , Hidekazu Himezawa
IPC分类号： G01J5/08 , G06K9/00 , G06K9/20 , G06M11/00 , G07C9/00
CPC分类号： G01J5/0022 , G01J5/0025 , G01J5/08 , G01J5/0831 , G01J5/084 , G01J5/089 , G06K9/00362 , G06K9/20 , G06M11/00 , G07C9/00 , G01J5/026 , Y10S250/01
摘要： A person-number detecting system which comprises a detector for detecting infrared rays emitted from persons' bodies to generate an output signal while a scanning optical means circularly scans a visual field of the infrared ray detector, a means for amplifying the output signal of the detector, a means for converting it to a signal necessary for detection of the number of persons located within the field, a means for discriminating the number of persons on the basis of the converted signal, and a means for outputting person number information. The system can be made simple and inexpensive, while realizing a highly precise detection of the number of persons in a wide detection zone.
摘要翻译：一种人数检测系统，包括：检测器，用于检测从人体发射的红外线，以产生输出信号;扫描光学装置循环地扫描红外线检测器的视场;放大检测器的输出信号的装置; 用于将其转换为检测位于场内的人数所需的信号的装置，用于基于转换的信号鉴别人数的装置以及用于输出人数信息的装置。该系统可以简单和便宜，同时实现对广泛检测区域中的人员的高精度检测。

2. 发明授权

US4737847A Abnormality supervising system 失效
标题翻译：异常监督制度
公开(公告)号：US4737847A
公开(公告)日：1988-04-12
申请号：US913842
申请日：1986-09-30
申请人： Tsunehiko Araki , Satoshi Furukawa , Tadashi Satake , Hidekazu Himezawa
发明人： Tsunehiko Araki , Satoshi Furukawa , Tadashi Satake , Hidekazu Himezawa
IPC分类号： G08B13/194 , G08B13/196 , H04N7/18
CPC分类号： G08B13/19602 , G08B13/19604 , G08B13/19606 , G08B13/19652 , G08B13/19697 , Y10S706/911
摘要： An abnormality supervising system compares an input picture with a previously stored reference picture having no abnormality, provides a compared picture signal to an abnormality discrimination means having preliminarily stored information for abnormality discrimination, and, upon presence of an abnormality, operates an output means for informing operation, whereby the abnormality discrimination means can effectively attain the abnormality discrimination on the basis of the preliminarily stored information, in a highly reliable manner.
摘要翻译：异常监视系统将输入图像与预先存储的没有异常的参考图像进行比较，将比较的图像信号提供给具有预先存储的用于异常辨别的信息的异常鉴别装置，并且在存在异常时，操作用于通知的输出装置操作，由此异常判别装置可以以可靠的方式有效地获得基于预先存储的信息的异常鉴别。

3. 发明授权

US4912748A Infrared intrusion detector with a plurality of infrared ray detecting elements 失效
标题翻译：具有多个红外线检测元件的红外入侵检测器
公开(公告)号：US4912748A
公开(公告)日：1990-03-27
申请号：US248129
申请日：1988-09-23
申请人： Takashi Horii , Hiroshi Matsuda , Hidekazu Himezawa , Shinji Kirihata , Tsunehiko Araki
发明人： Takashi Horii , Hiroshi Matsuda , Hidekazu Himezawa , Shinji Kirihata , Tsunehiko Araki
IPC分类号： G01V8/20 , G07C9/00 , G08B13/19
CPC分类号： G07C9/00 , G08B13/19 , Y10S250/01
摘要： A personal body detecting device makes it possible to determine the presence and absence of a personal body in a detecting zone by sensing infrared rays in the zone with a plurality of infrared ray detecting elements, detecting at a discriminating means a peak level and output time in connection with respective outputs of the infrared ray detecting elements, and comparing them with each other. The personal body having reached the detecting zone in any direction thereto can be reliably detected, and a highly reliable detecting operation can be realized.
摘要翻译：个人身体检测装置使得可以通过用多个红外线检测元件检测该区域中的红外线来确定检测区域中是否存在个人身体，在鉴别装置中检测峰值电平和输出时间与红外线检测元件的各个输出的连接，并将它们彼此进行比较。可以可靠地检测到任何方向到达检测区的个人身体，并且可以实现高度可靠的检测操作。

4. 发明授权

US07930259B2 Apparatus for detecting vibrations of a test object using a competitive learning neural network in determining frequency characteristics generated 失效
标题翻译：用于在确定产生的频率特性中使用竞争性学习神经网络来检测测试对象的振动的装置
公开(公告)号：US07930259B2
公开(公告)日：2011-04-19
申请号：US12000590
申请日：2007-12-14
申请人： Yoshihito Hashimoto , Hidekazu Himezawa
发明人： Yoshihito Hashimoto , Hidekazu Himezawa
IPC分类号： G06E1/00
CPC分类号： G01N29/045 , G01N29/4481 , G01N2291/022 , G01N2291/023 , G01N2291/0289
摘要： A nondestructive inspection apparatus includes a sensor unit for detecting vibrations transmitted through a test object from a vibration generator and a signal input unit for extracting a target signal from an electric signal outputted from the sensor unit. An amount of characteristics extracting unit is also included for extracting multiple frequency components from the test signal as an amount of characteristics. Further, a decision unit has a competitive learning neural network for determining whether the amount of the characteristics belongs to a category, wherein the competitive learning neural network has been trained by using training samples belong to the category representing an internal state of the test object, wherein distributions of membership degrees of the training samples are set in the decision unit.
摘要翻译：非破坏性检查装置包括：传感器单元，用于检测从振动发生器传递的测试对象的振动;以及信号输入单元，用于从传感器单元输出的电信号中提取目标信号。特征提取单元的数量还包括用于从测试信号中提取多个频率分量作为特征量。此外，决策单元具有用于确定特征量是否属于类别的竞争性学习神经网络，其中已经通过使用属于表示测试对象的内部状态的类别的训练样本来训练竞争性学习神经网络，其中在所述决策单元中设置所述训练样本的隶属度分布。

5. 发明申请

US20080144927A1 Nondestructive inspection apparatus 失效
标题翻译：无损检测仪器
公开(公告)号：US20080144927A1
公开(公告)日：2008-06-19
申请号：US12000590
申请日：2007-12-14
申请人： Yoshihito Hashimoto , Hidekazu Himezawa
发明人： Yoshihito Hashimoto , Hidekazu Himezawa
IPC分类号： G06K9/62
CPC分类号： G01N29/045 , G01N29/4481 , G01N2291/022 , G01N2291/023 , G01N2291/0289
摘要： A nondestructive inspection apparatus includes a sensor unit for detecting vibrations transmitted through a test object from a vibration generator and a signal input unit for extracting a target signal from an electric signal outputted from the sensor unit. An amount of characteristics extracting unit is also included for extracting multiple frequency components from the test signal as an amount of characteristics. Further, a decision unit has a competitive learning neural network for determining whether the amount of the characteristics belongs to a category, wherein the competitive learning neural network has been trained by using training samples belong to the category representing an internal state of the test object, wherein distributions of membership degrees of the training samples are set in the decision unit.
摘要翻译：非破坏性检查装置包括：传感器单元，用于检测从振动发生器传递的测试对象的振动;以及信号输入单元，用于从传感器单元输出的电信号中提取目标信号。特征提取单元的数量还包括用于从测试信号中提取多个频率分量作为特征量。此外，决策单元具有用于确定特征量是否属于类别的竞争性学习神经网络，其中已经通过使用属于表示测试对象的内部状态的类别的训练样本来训练竞争性学习神经网络，其中在所述决策单元中设置所述训练样本的隶属度分布。

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