基于ARM9的家庭智能安防系统研究
|
摘要
近年来随着社会的不断进步与发展,人们的生活水平日益提高,生活方式也发生了很大地改变。与此同时,农村城镇化和人员流动性增大,又使得社会治安状况更趋复杂,因此作为社会的基本单元——家庭财产的安全问题就显得尤为重要。
这一问题的出现,使得智能防盗报警系统与居民的日常生活越来越紧密,以保障家庭住宅安全为目的的安防系统也因此得到了一定程度的发展。但是目前的家庭安防系统大多数存在着功能简单,容易遭破坏,报警准确度低等问题;有些功能强大的又存在着价格昂贵,操作不方便等问题,不易为普通家庭用户接受。因此一款使用方便、性能可靠,而从价格上又能让普通家庭接受的产品,无疑更能受到大家的青睐。
本文以当前成熟的GPRS通信理论为基础,采用指纹识别技术、视频采集技术,设计了一套家庭智能安防系统。
在防护方面,通过USB将FPS200与ARM相连接,用ARM9对指纹图像进行处理,构成门禁系统,加强了防护功能。
报警模块中用红外探测器产生报警信号,启动摄像头对防控区域进行录像,收集证据,为入室案件的侦破提供可靠依据;同时依托无线通信技术,在第一时间拨打预先设定的电话报警,加强了系统的实时性,尽最大可能减少用户的损失。
本文以GPRS通信理论为依托,采用图像处理技术,搭建了家庭安防系统的主体架构。与以往采用上位机或传统网络传输技术的防盗报警系统相比,该设计提高了系统的安全性能,降低了成本,在家庭安防领域具有很强的竞争优势,能够产生良好的社会效益和经济效益。
In recent years, with the continuous social progress and development, increasing people's standard of living and way of life has also undergone great change. At the same time, rural urbanization and increased mobility, but also makes the social security situation more complex, as the basic unit of society - the safety of family property becomes particularly important.
The emergence of this issue, making intelligent burglar alarm system and the daily life of residents increasingly close to ensure safety for the purpose of family, home security system and therefore to a certain degree of development. However, the current home security system, there are features in most simple, easy to destruction, alarm issues such as accuracy is too low; some powerful, but also there is expensive and inconvenient operation of such issues is not easy for ordinary home users to accept. Therefore, a convenient, reliable performance, and from price, while still allowing them to accept the average family of products, will undoubtedly be more well received by all of all ages.
In this thesis, the current maturity of the GPRS communication theory, using fingerprint recognition technology, video capture technology, designed a home security system.
In the protection, using USB, FPS200 connected with ARM, with ARM9 processing of fingerprint images to form access control system to enhance its protection.
Alarm Modules produced using infrared detector alarm signal to start the camera recording on the prevention and control region to collect evidence for the detection of burglary cases to provide a reliable basis; the same time, relying on wireless communication technology, the first time, pre-set phone call police, strengthening the system's real-time, the maximum extent possible to reduce the loss of customers.
In this thesis, the theory relies on GPRS communication using the image processing technology, has set up a home security system, the main structure. With past use of host computer or the traditional network transmission technology, anti-theft alarm system compared to the safety of the design to improve system performance and reduce costs in the field of home security has a strong competitive advantage, can produce good social and economic benefits .
这一问题的出现,使得智能防盗报警系统与居民的日常生活越来越紧密,以保障家庭住宅安全为目的的安防系统也因此得到了一定程度的发展。但是目前的家庭安防系统大多数存在着功能简单,容易遭破坏,报警准确度低等问题;有些功能强大的又存在着价格昂贵,操作不方便等问题,不易为普通家庭用户接受。因此一款使用方便、性能可靠,而从价格上又能让普通家庭接受的产品,无疑更能受到大家的青睐。
本文以当前成熟的GPRS通信理论为基础,采用指纹识别技术、视频采集技术,设计了一套家庭智能安防系统。
在防护方面,通过USB将FPS200与ARM相连接,用ARM9对指纹图像进行处理,构成门禁系统,加强了防护功能。
报警模块中用红外探测器产生报警信号,启动摄像头对防控区域进行录像,收集证据,为入室案件的侦破提供可靠依据;同时依托无线通信技术,在第一时间拨打预先设定的电话报警,加强了系统的实时性,尽最大可能减少用户的损失。
本文以GPRS通信理论为依托,采用图像处理技术,搭建了家庭安防系统的主体架构。与以往采用上位机或传统网络传输技术的防盗报警系统相比,该设计提高了系统的安全性能,降低了成本,在家庭安防领域具有很强的竞争优势,能够产生良好的社会效益和经济效益。
In recent years, with the continuous social progress and development, increasing people's standard of living and way of life has also undergone great change. At the same time, rural urbanization and increased mobility, but also makes the social security situation more complex, as the basic unit of society - the safety of family property becomes particularly important.
The emergence of this issue, making intelligent burglar alarm system and the daily life of residents increasingly close to ensure safety for the purpose of family, home security system and therefore to a certain degree of development. However, the current home security system, there are features in most simple, easy to destruction, alarm issues such as accuracy is too low; some powerful, but also there is expensive and inconvenient operation of such issues is not easy for ordinary home users to accept. Therefore, a convenient, reliable performance, and from price, while still allowing them to accept the average family of products, will undoubtedly be more well received by all of all ages.
In this thesis, the current maturity of the GPRS communication theory, using fingerprint recognition technology, video capture technology, designed a home security system.
In the protection, using USB, FPS200 connected with ARM, with ARM9 processing of fingerprint images to form access control system to enhance its protection.
Alarm Modules produced using infrared detector alarm signal to start the camera recording on the prevention and control region to collect evidence for the detection of burglary cases to provide a reliable basis; the same time, relying on wireless communication technology, the first time, pre-set phone call police, strengthening the system's real-time, the maximum extent possible to reduce the loss of customers.
In this thesis, the theory relies on GPRS communication using the image processing technology, has set up a home security system, the main structure. With past use of host computer or the traditional network transmission technology, anti-theft alarm system compared to the safety of the design to improve system performance and reduce costs in the field of home security has a strong competitive advantage, can produce good social and economic benefits .
引文
[1]韩铮,对都市村庄入室盗窃案的侦控分析[J]辽宁警专学报,2009年5月,第3期:20-22
[2]张健浪,面对现实,互联网资源2010年耗尽个人电脑,2008-02-21,http://www.pcpro.com.cn [
3]黎明.Webchip 智能 Internet 网络芯片及其应用.http://www.p8s.com,2002.
[4]刘德涛.利用GPRS通讯技术的电力监控系统研究,硕士学位论文,山东大学 2004.10:3-5
[5]ETSI GSM 3.40,Digital Celluar Teclccommunication System (Phase 2+)Technical Realisation of the short message service point to point v.4.13.0,1996
[6]李冬.基于嵌入式系统的GPRS电力参数无线传输系统,硕士学位论文,山东大学2007年4月:7-11
[7]蒋均牧.我国固话手机普及率分别达24.9%与52.5%,中国通信网http://www.c114.net,2009-07-28
[8]徐英慧,马忠梅,王磊,王,ARM9嵌入式系统设计-基于 S3C2410与Linux[M]北京航空航天大学出版社2007.09,212-217
[9]杭州立宇泰电子有限公司,S3C2410A中文数据手册 Versionl.0:2
[10]刘国柱,基于嵌入式系统及GPRS的报警系统研究[J],山东科技信息,2009年8月,143-116
[11]胡伟生,热释电红外探测器的元器件(四)设计上改进的方向及措施[J]电子世界2004,11:40-42
[12]杨艳:生物特征识别技术概述[J],大众科技,2006年8期,31-33
[13]张敏贵,潘泉,等.多生物特征识别[J].信息与控制,2002,31(6)
[14]杨俊等.浅谈生物认证技术—指纹识别[J].计算机时代,2004,(3)
[15]侯鸿川:面部温谱图身份识别技术探讨[J].中国人民公安大学学报(自然科学版),2005,(3)
[16]张海军,穆志纯,危克:人耳识别技术研究进展综述[J].计算机工程与应用,2004,(33)
[17]A.K.Jain,Lin Hong,Sharath pankanti.An identity authentication systemusing fingerprints[M].Proceeding of the IEEE.1997,86(9):1365-1388
[18]Eiwin Optical fingerprint sensor and uClinux[DB /O].http://uclinux org/pipemail//2004/030396.html,2004.03.03
[19]Digital Persina Inc U.are U 2000 fingerprint sensor[DB/O]http://www.iglou.com//2000fp sensor pdf,2000.11.26
[20]Michelle A guide b biometric fingerprint sensors[DB/O].http://www.biometritech.com/features/916.htm.2002-09-16
[21]Bicz W.Ultrasonic sensor for fingerprint recognition [J]SPIE,2002,2634(6):71-75
[22]张亮,指纹图像传感器技术关键及发展趋势[J],传感器技术,2005年.第24卷.第9期,1-3
[23]PS200 Solid-State Fingerprint Sensor User's Guider.Veridicom Inc
[24]彭寿星,基于USB接口的指纹采集与识别系统的设计,硕士学位论文,南京理工大学,2006.06,10
[25]陈鹏.郭宝龙,基于ARM的指纹采集仪的设计与实现,电子设计工程2009年1月,第17卷第1期,36-38
[26]刘希顺,刘安之:交直流供电无缝连接电源控制系统设计[J],电子测量技术,2001年第2期,30-31
[27]Universal Serial Bus Specification.Compaq,Intel,Microsoft,NEC.Revision 1.1,CB.September 23,1998
[28]深圳远峰,USB协议基础及S3C2410USB控制器,http://tech.techweb.com.cn/redirect.phptid=253823&goto=lastpost
[29]梁海军,嵌入式图像采集与处理系统实现技术研究,西安电子科技大学,硕士学位论文,2009.01,45-46
[30]赵目龙,嵌入式网络可视门禁系统硬件设计和测试,硕士学位论文, 吉林大学,46
[31]SD Card Interface Description.Sandisk Corporation.2004
[32]SD Memory Card Specifications Part 1:PHYSICAL LAYER SPECIFICATION Version 1.0[M].SanDisk Corporation,2000
[33]邓剑,杨晓非,廖俊卿,FAT文件系统原理及实现[J]计算机与数字工程,2005,(9)
[34]王拾亦,闰学文,基于ARM与SD卡的嵌入式存储系统研究与设计[J]徽型电脑应用2009年第25卷第7期,43-45
[35]JONATHAN CORBET,ALESSANDRO RUBIM9GREG KROAH-HARTMAN.LINUX 设备驱动程序[M]版.魏永明,耿岳,钟书毅,译.北京:中国电力出版社,2006
[36]陈莉君,康华Linux操作系统原理与应用[M].北京:清华大学出版社,2006
[37]李玉波,朱自强,郭军Linux C编程[M1 北京:清华大学出版社,2005
[38]孙紫鹏,基于三星ARM S3C2410的指纹识别系统,硕士学位论文,哈尔滨工程大学,2007年1月,47
[39]傅景广,许刚.基于二值图像的指纹细节点提取[J],计算机研究与发展,2004,(4):720-727
[40]李昊,傅曦:精通:VISUAL C++指纹模式识别系统算法及实现[M],人民邮电出版社2008.12
[41]J.P.Statink,Finding point correspondences using simulated annealing.Pattern Recognition,1995,28(2):231-240
[42]Sanjay Ranade,Azriel Rosenfeld.Point pattern matching by relaxation Pattern Recognition,1980(5):269-275
[43]王崇文,李见为.指纹细节特征提取与剪枝.光电工程,2002(4):68-71
[44]G.Stockman,S.Kopstain and S.Benett.Matching images object detection Intelligence,1992 via clustering.IEEE Transactions Onto models for registration and Pattern Analysis and Machine(3):229-241
[45]J.P.Statink,E.Backer.Finding point correspondences using simulated annealing.Pattern Recognition,1995(2):231-240
[46]Ratkovic JP Increasing efficiency in the criminal just for criminal identification and latent print processing,ice system:the use of new technology California:The Rand Coipomtion,1980.
[47]Liu J H,Lin C H,Ostetbetg J Weta.fingerprint filing and searching system.Fingerprint comparis on the develop of a single Journal of Forensic Science,I982(27):305-317
[48]Hrechak A.K.,Mchugh J.A.Automated fingerprint recognition using structural matching.Pattern Recognition,1990,23(8):893-904
[49]IseNOR D.K.,Zaky S.Q Fingerprint identification using matching Pattern,Recognition,1986(2):113-122
[50]D.Lavine,B.A.Lambaird and L.N.Kana.Recognition of spatial point patterns.Pattern Recognition,1983(3):289-295
[51]陈海峰,纪刊谋,叶桦,陈维南.利用遗传算法实现图像特征点匹配.南京大学学报(自然科学版),2003,36(2):171-176
[52]王洪涛,迎接3G安防时代.[J].中国安防,2009,05:57-62
[2]张健浪,面对现实,互联网资源2010年耗尽个人电脑,2008-02-21,http://www.pcpro.com.cn [
3]黎明.Webchip 智能 Internet 网络芯片及其应用.http://www.p8s.com,2002.
[4]刘德涛.利用GPRS通讯技术的电力监控系统研究,硕士学位论文,山东大学 2004.10:3-5
[5]ETSI GSM 3.40,Digital Celluar Teclccommunication System (Phase 2+)Technical Realisation of the short message service point to point v.4.13.0,1996
[6]李冬.基于嵌入式系统的GPRS电力参数无线传输系统,硕士学位论文,山东大学2007年4月:7-11
[7]蒋均牧.我国固话手机普及率分别达24.9%与52.5%,中国通信网http://www.c114.net,2009-07-28
[8]徐英慧,马忠梅,王磊,王,ARM9嵌入式系统设计-基于 S3C2410与Linux[M]北京航空航天大学出版社2007.09,212-217
[9]杭州立宇泰电子有限公司,S3C2410A中文数据手册 Versionl.0:2
[10]刘国柱,基于嵌入式系统及GPRS的报警系统研究[J],山东科技信息,2009年8月,143-116
[11]胡伟生,热释电红外探测器的元器件(四)设计上改进的方向及措施[J]电子世界2004,11:40-42
[12]杨艳:生物特征识别技术概述[J],大众科技,2006年8期,31-33
[13]张敏贵,潘泉,等.多生物特征识别[J].信息与控制,2002,31(6)
[14]杨俊等.浅谈生物认证技术—指纹识别[J].计算机时代,2004,(3)
[15]侯鸿川:面部温谱图身份识别技术探讨[J].中国人民公安大学学报(自然科学版),2005,(3)
[16]张海军,穆志纯,危克:人耳识别技术研究进展综述[J].计算机工程与应用,2004,(33)
[17]A.K.Jain,Lin Hong,Sharath pankanti.An identity authentication systemusing fingerprints[M].Proceeding of the IEEE.1997,86(9):1365-1388
[18]Eiwin Optical fingerprint sensor and uClinux[DB /O].http://uclinux org/pipemail//2004/030396.html,2004.03.03
[19]Digital Persina Inc U.are U 2000 fingerprint sensor[DB/O]http://www.iglou.com//2000fp sensor pdf,2000.11.26
[20]Michelle A guide b biometric fingerprint sensors[DB/O].http://www.biometritech.com/features/916.htm.2002-09-16
[21]Bicz W.Ultrasonic sensor for fingerprint recognition [J]SPIE,2002,2634(6):71-75
[22]张亮,指纹图像传感器技术关键及发展趋势[J],传感器技术,2005年.第24卷.第9期,1-3
[23]PS200 Solid-State Fingerprint Sensor User's Guider.Veridicom Inc
[24]彭寿星,基于USB接口的指纹采集与识别系统的设计,硕士学位论文,南京理工大学,2006.06,10
[25]陈鹏.郭宝龙,基于ARM的指纹采集仪的设计与实现,电子设计工程2009年1月,第17卷第1期,36-38
[26]刘希顺,刘安之:交直流供电无缝连接电源控制系统设计[J],电子测量技术,2001年第2期,30-31
[27]Universal Serial Bus Specification.Compaq,Intel,Microsoft,NEC.Revision 1.1,CB.September 23,1998
[28]深圳远峰,USB协议基础及S3C2410USB控制器,http://tech.techweb.com.cn/redirect.phptid=253823&goto=lastpost
[29]梁海军,嵌入式图像采集与处理系统实现技术研究,西安电子科技大学,硕士学位论文,2009.01,45-46
[30]赵目龙,嵌入式网络可视门禁系统硬件设计和测试,硕士学位论文, 吉林大学,46
[31]SD Card Interface Description.Sandisk Corporation.2004
[32]SD Memory Card Specifications Part 1:PHYSICAL LAYER SPECIFICATION Version 1.0[M].SanDisk Corporation,2000
[33]邓剑,杨晓非,廖俊卿,FAT文件系统原理及实现[J]计算机与数字工程,2005,(9)
[34]王拾亦,闰学文,基于ARM与SD卡的嵌入式存储系统研究与设计[J]徽型电脑应用2009年第25卷第7期,43-45
[35]JONATHAN CORBET,ALESSANDRO RUBIM9GREG KROAH-HARTMAN.LINUX 设备驱动程序[M]版.魏永明,耿岳,钟书毅,译.北京:中国电力出版社,2006
[36]陈莉君,康华Linux操作系统原理与应用[M].北京:清华大学出版社,2006
[37]李玉波,朱自强,郭军Linux C编程[M1 北京:清华大学出版社,2005
[38]孙紫鹏,基于三星ARM S3C2410的指纹识别系统,硕士学位论文,哈尔滨工程大学,2007年1月,47
[39]傅景广,许刚.基于二值图像的指纹细节点提取[J],计算机研究与发展,2004,(4):720-727
[40]李昊,傅曦:精通:VISUAL C++指纹模式识别系统算法及实现[M],人民邮电出版社2008.12
[41]J.P.Statink,Finding point correspondences using simulated annealing.Pattern Recognition,1995,28(2):231-240
[42]Sanjay Ranade,Azriel Rosenfeld.Point pattern matching by relaxation Pattern Recognition,1980(5):269-275
[43]王崇文,李见为.指纹细节特征提取与剪枝.光电工程,2002(4):68-71
[44]G.Stockman,S.Kopstain and S.Benett.Matching images object detection Intelligence,1992 via clustering.IEEE Transactions Onto models for registration and Pattern Analysis and Machine(3):229-241
[45]J.P.Statink,E.Backer.Finding point correspondences using simulated annealing.Pattern Recognition,1995(2):231-240
[46]Ratkovic JP Increasing efficiency in the criminal just for criminal identification and latent print processing,ice system:the use of new technology California:The Rand Coipomtion,1980.
[47]Liu J H,Lin C H,Ostetbetg J Weta.fingerprint filing and searching system.Fingerprint comparis on the develop of a single Journal of Forensic Science,I982(27):305-317
[48]Hrechak A.K.,Mchugh J.A.Automated fingerprint recognition using structural matching.Pattern Recognition,1990,23(8):893-904
[49]IseNOR D.K.,Zaky S.Q Fingerprint identification using matching Pattern,Recognition,1986(2):113-122
[50]D.Lavine,B.A.Lambaird and L.N.Kana.Recognition of spatial point patterns.Pattern Recognition,1983(3):289-295
[51]陈海峰,纪刊谋,叶桦,陈维南.利用遗传算法实现图像特征点匹配.南京大学学报(自然科学版),2003,36(2):171-176
[52]王洪涛,迎接3G安防时代.[J].中国安防,2009,05:57-62