CN101211483A - Unattended bank safe precaution method - Google Patents
Unattended bank safe precaution method Download PDFInfo
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- CN101211483A CN101211483A CNA2006100226408A CN200610022640A CN101211483A CN 101211483 A CN101211483 A CN 101211483A CN A2006100226408 A CNA2006100226408 A CN A2006100226408A CN 200610022640 A CN200610022640 A CN 200610022640A CN 101211483 A CN101211483 A CN 101211483A
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Abstract
The invention relates to a safety precaution technique, in particular to a method for safety precaution by human face detecting technique. Aiming at the drawbacks of ineffective monitoring of the prior video tape monitoring system, the invention discloses a bank safety precaution method based on human face recognizing technique. The technical proposal of the invention is the unmanned bank safety precaution method, which comprises the following steps: a. when someone enters the monitoring range, triggering a camera to collect image; b. performing human face feature recognition according to the image collected by the camera; c. if the recognizing result is no human face, sending out warning information; and if human face exists, then no processing is performed. The invention has the advantages of strong direction, high recognizing rate, thus effectively preventing the occurrence of embezzling bank credit card case by blinding face, reducing loss of clients, and further improving the safety precaution level of unmanned bank.
Description
Technical field
The present invention relates to security precautions technology, particularly a kind of method of utilizing human face detection tech to carry out safety precaution.
Background technology
In recent years, along with computer technology rapid development, the automatic identification technology of biological characteristic obtains broad research and exploitation, as fingerprint recognition, iris recognition, the identification of palm shape etc.The detection and Identification of people's face are based on the identity of face picture and differentiate, because of the recognition method close friend, can hiddenly enjoy academia and industry member to pay close attention to, compare with other human body biological characteristics recognition technology, have directly, friendly, characteristics easily.Be the most direct means, be easy to be accepted by the user.People's face detection and Identification technology has initiative, non-infringement, advantage such as user friendly and convenient, is a kind of very competitive authentication identifying method, is widely used and good industrial prospect at aspects such as safety, security personnel and ecommerce.People's face detection and Identification technology of existing comparative maturity mainly contains: based on the method for geometric properties, based on the method for template with based on the method for model.Based on the method for geometric properties be the earliest, the most traditional method, need usually and other algorithms in conjunction with just effect preferably being arranged; Can be divided into method based on relevant matches, eigenface method, linear discriminant analysis method, singular value decomposition method, neural net method, dynamically connect matching process etc. based on the method for template.Method based on model then has based on stealthy Markov Model the method for active shape model and active appearance models etc.
Unattended bank, it is popular a kind of banking industry operation way, because it is convenient and swift, and the characteristics of hommization, development in recent years is rapid, and its outlet is more and more many, and ATM (Automatic Teller Machine) (ATM) spreads all over streets and lanes, when bringing convenience, also bring the problem of many secure contexts to people's life.The lawless person utilizes unattended bank, and the characteristics of no worker monitor adopt masked means to usurp bank card, escapes the case of video record supervisory system monitoring identification, is exactly wherein a kind of.
Summary of the invention
Technical matters to be solved by this invention is exactly at existing video record supervisory system, monitors ineffective shortcoming, and a kind of bank safe precaution method based on face recognition technology is provided.
The present invention solve the technical problem and adopts technical scheme to be, unattended bank safe precaution method may further comprise the steps,
A. when human body enters monitoring range, trigger camera and carry out image acquisition;
B. the image according to camera collection carries out face characteristic identification;
C. recognition result is unmanned face, then sends warning message; Someone does not then deal with by face;
Further, when bank card inserts ATM, trigger camera and carry out image acquisition;
Further, described step a is when proximity transducer detects human body, to trigger camera and carry out image acquisition;
Concrete, described proximity transducer is a microwave detector;
Further, described step a is when the mobile object detector detects human body, to trigger camera and carry out image acquisition;
Concrete, described mobile object detector is a radar Doppler;
Further, described step c comprises:
C1. differentiate the result and be unmanned face, then lock ATM, refuse any operation;
C2. bank monitoring center and/or the public security system that present image is sent, and the warning address is provided;
C3. trigger on-the-spot sound and light alarm.
The invention has the beneficial effects as follows that with strong points, the discrimination height can effectively prevent the generation of masked bandit with the bank card case, reduces client's loss, has further improved the safety precaution level of unattended bank.
Description of drawings
Fig. 1 is a program flow diagram of the present invention.
Embodiment
Describe technical scheme of the present invention in detail below in conjunction with drawings and Examples.
The present invention utilizes people's face to detect recognition technology, and the operator of unattended bank is monitored identification, if can not recognize the characteristic information of people's face, starts warning system at once.
Technical scheme of the present invention, implementation procedure is:
When sensor arrives human body signal, trigger the image of camera collection guarded region.The startup of this step can be passed through photodetector, microwave detector, mobile object detector (as radar Doppler) etc., detects to start when human body enters guarded region; Also can start when having detected the bank card insertion according to the pick-up unit that is installed in ATM bank card socket.Then, according to the image of camera collection, carry out face characteristic identification.If can recognize people's face according to the face characteristic algorithm, the expression monitoring range has people's face to exist, and then is left intact; If can not detect the face characteristic data, expression operator face is covered, and promptly unmanned face sends warning message at once.Program circuit is referring to Fig. 1.
Embodiment
The analog video signal of camera collection is given A/D converter, A/D converter is converted to the vision signal of simulation the vision signal of numeral, give processor with digital video signal then, after the processor electrifying startup, carry out reading the relevant configuration data from the EEPROM the inside before the detection of people's face, adopt then based on the method for facial geometric properties and carry out the detection of people's face, if people's face is arranged, then be left intact; If unmanned face, the vision signal that then sends warning message and compression automatically is to the bank monitoring center, and triggering Surveillance center shows the video of current place of alarm, manually reaffirm by the operator on duty of bank, if be masked use bank card really, then open the warning device at unattended bank place, frighten resistance; Simultaneously, controller output control signal, locking ATM refuses any operation; Exist side by side and be about to the monitor network that warning message is forwarded to public security system.Face characteristic recognizer of the present invention, can extensively adopt the face recognition algorithms of various maturations, as Karhunen-Loeve transformation, Eigenface (eigenface method), Fisherface (linear discriminant method), neural network algorithm and various face recognition algorithms etc., to improve the recognition of face rate.
Technology of the present invention can embed the video record supervisory system of unattended bank, also can constitute independently supervisory system.The monitoring that is particularly suitable for ATM is deployed troops on garrison duty.
Claims (7)
1. unattended bank safe precaution method may further comprise the steps,
A. when human body enters monitoring range, trigger camera and carry out image acquisition;
B. the image according to camera collection carries out face characteristic identification;
C. recognition result is unmanned face, then sends warning message; Someone does not then deal with by face.
2. unattended bank safe precaution method according to claim 1 is characterized in that, described step a is when bank card inserts ATM, to trigger camera and carry out image acquisition.
3. unattended bank safe precaution method according to claim 1 is characterized in that, described step a is when proximity transducer detects human body, to trigger camera and carry out image acquisition.
4. unattended bank safe precaution method according to claim 3 is characterized in that, described proximity transducer is a microwave detector.
5. unattended bank safe precaution method according to claim 1 is characterized in that, described step a is when the mobile object detector detects human body, to trigger camera and carry out image acquisition.
6. unattended bank safe precaution method according to claim 5 is characterized in that, described mobile object detector is a radar Doppler.
7. according to above-mentioned any described unattended bank safe precaution method of claim, it is characterized in that described step c comprises:
C1. differentiate the result and be unmanned face, then lock ATM, refuse any operation;
C2. bank monitoring center and/or the public security system that present image is sent, and the warning address is provided;
C3. trigger on-the-spot sound and light alarm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2006100226408A CN101211483A (en) | 2006-12-25 | 2006-12-25 | Unattended bank safe precaution method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2006100226408A CN101211483A (en) | 2006-12-25 | 2006-12-25 | Unattended bank safe precaution method |
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| CN101211483A true CN101211483A (en) | 2008-07-02 |
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101438681B (en) * | 2008-12-22 | 2011-03-16 | 中国农业大学 | Method and system for triggering carcass image collection based on cattle bowl |
| CN101753563B (en) * | 2008-11-28 | 2013-12-11 | 富士通株式会社 | Authentication apparatus and authentication method |
| CN103871165A (en) * | 2014-03-13 | 2014-06-18 | 中国工商银行股份有限公司 | Safety monitoring method and device of self-service equipment |
| CN105513223A (en) * | 2016-01-27 | 2016-04-20 | 大连楼兰科技股份有限公司 | Bankcard antitheft method based on camera |
| CN105955474A (en) * | 2016-04-27 | 2016-09-21 | 努比亚技术有限公司 | Prompting method of application evaluation, and mobile terminal |
| CN106093054A (en) * | 2016-08-22 | 2016-11-09 | 昆山杰士德精密工业有限公司 | Mobile phone surface scratch detection equipment |
| CN106295470A (en) * | 2015-05-21 | 2017-01-04 | 北京文安智能技术股份有限公司 | A kind of bank self-help service area early-warning monitoring method, Apparatus and system |
| CN107481463A (en) * | 2017-08-31 | 2017-12-15 | 亚月（武汉）智能科技有限公司 | A kind of perambulator with identification function |
| CN108133183A (en) * | 2017-12-19 | 2018-06-08 | 深圳怡化电脑股份有限公司 | Fixed point captures method, apparatus, self-service device and the computer readable storage medium of portrait |
| CN108831066A (en) * | 2018-05-23 | 2018-11-16 | 合肥汇英科技有限公司 | A kind of self-service financial machine and tool monitoring system |
| CN109241839A (en) * | 2018-07-31 | 2019-01-18 | 安徽四创电子股份有限公司 | A kind of camera shooting radar joint deployment implementation method based on face recognition algorithms |
| CN109979121A (en) * | 2017-12-28 | 2019-07-05 | 方正国际软件(北京)有限公司 | A kind of method and server monitoring self-help bank |
| CN110175568A (en) * | 2019-05-27 | 2019-08-27 | 杭州亚美利嘉科技有限公司 | Railway platform state recognition system and method |
| CN110620879A (en) * | 2019-10-10 | 2019-12-27 | 武汉普利商用机器有限公司 | Dynamic light supplementing device and method for face recognition |
| CN112466078A (en) * | 2020-10-30 | 2021-03-09 | 重庆电子工程职业学院 | Intelligent security system |
| CN112990033A (en) * | 2021-03-23 | 2021-06-18 | 江门职业技术学院 | Abnormal person processing method, system and computer readable storage medium |
-
2006
- 2006-12-25 CN CNA2006100226408A patent/CN101211483A/en active Pending
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101753563B (en) * | 2008-11-28 | 2013-12-11 | 富士通株式会社 | Authentication apparatus and authentication method |
| CN101438681B (en) * | 2008-12-22 | 2011-03-16 | 中国农业大学 | Method and system for triggering carcass image collection based on cattle bowl |
| CN103871165A (en) * | 2014-03-13 | 2014-06-18 | 中国工商银行股份有限公司 | Safety monitoring method and device of self-service equipment |
| CN106295470A (en) * | 2015-05-21 | 2017-01-04 | 北京文安智能技术股份有限公司 | A kind of bank self-help service area early-warning monitoring method, Apparatus and system |
| CN105513223A (en) * | 2016-01-27 | 2016-04-20 | 大连楼兰科技股份有限公司 | Bankcard antitheft method based on camera |
| CN105513223B (en) * | 2016-01-27 | 2018-03-06 | 大连楼兰科技股份有限公司 | A kind of bank card anti-theft method based on video camera |
| CN105955474A (en) * | 2016-04-27 | 2016-09-21 | 努比亚技术有限公司 | Prompting method of application evaluation, and mobile terminal |
| CN106093054A (en) * | 2016-08-22 | 2016-11-09 | 昆山杰士德精密工业有限公司 | Mobile phone surface scratch detection equipment |
| CN107481463A (en) * | 2017-08-31 | 2017-12-15 | 亚月（武汉）智能科技有限公司 | A kind of perambulator with identification function |
| CN108133183A (en) * | 2017-12-19 | 2018-06-08 | 深圳怡化电脑股份有限公司 | Fixed point captures method, apparatus, self-service device and the computer readable storage medium of portrait |
| CN109979121A (en) * | 2017-12-28 | 2019-07-05 | 方正国际软件(北京)有限公司 | A kind of method and server monitoring self-help bank |
| CN109979121B (en) * | 2017-12-28 | 2021-05-18 | 方正国际软件(北京)有限公司 | Method and server for monitoring self-service bank |
| CN108831066A (en) * | 2018-05-23 | 2018-11-16 | 合肥汇英科技有限公司 | A kind of self-service financial machine and tool monitoring system |
| CN109241839A (en) * | 2018-07-31 | 2019-01-18 | 安徽四创电子股份有限公司 | A kind of camera shooting radar joint deployment implementation method based on face recognition algorithms |
| CN110175568A (en) * | 2019-05-27 | 2019-08-27 | 杭州亚美利嘉科技有限公司 | Railway platform state recognition system and method |
| CN110620879A (en) * | 2019-10-10 | 2019-12-27 | 武汉普利商用机器有限公司 | Dynamic light supplementing device and method for face recognition |
| CN112466078A (en) * | 2020-10-30 | 2021-03-09 | 重庆电子工程职业学院 | Intelligent security system |
| CN112990033A (en) * | 2021-03-23 | 2021-06-18 | 江门职业技术学院 | Abnormal person processing method, system and computer readable storage medium |
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