CN101720024A - Intelligent recognition monitoring system and monitoring method thereof - Google Patents
Intelligent recognition monitoring system and monitoring method thereof Download PDFInfo
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- CN101720024A CN101720024A CN200910189518A CN200910189518A CN101720024A CN 101720024 A CN101720024 A CN 101720024A CN 200910189518 A CN200910189518 A CN 200910189518A CN 200910189518 A CN200910189518 A CN 200910189518A CN 101720024 A CN101720024 A CN 101720024A
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Abstract
The invention discloses an intelligent recognition monitoring system and a monitoring method thereof. The monitoring method comprises the following steps of: processing a video image collected by a video collecting unit by an image processing unit to generate a two-dimensional bar code with image characteristic information; controlling a communication unit by a control unit and transmitting the two-dimensional bar code corresponding to the image characteristic information; and comparing the two-dimensional bar code with pre-set data by a server and correspondingly controlling the two-dimension bar code with the pre-set data according to a comparing result. The two-dimensional bar code generated by the image characteristic information is transmitted by the communication unit with less data quantity and short transmission time, the information corresponding to the two-dimensional bar code is provided with the inside of the server, and the information and each group of image characteristic information correspond to the two-dimensional bar code in a mapping mode, therefore, the processing quantity of the data is less and the processing speed is improved in processing. The data quantity of the two-dimensional bar code is less, and the same storage space can store more image characteristic information.
Description
Technical field
The present invention relates to the safety monitoring technology field, the particularly a kind of intelligent recognition monitoring system that can discern automatically and method for supervising thereof.
Background technology
Recognition of face is that the facial image of input and the template in the known storehouse are compared, and a kind of technology that determines one's identity because people's face has uniqueness, therefore can be discerned everyone identity by people's face.Can just be widely used in fields such as security monitoring, man-machine interaction.
Existing security monitoring mainly is that for example Chinese publication number is supervising device and the built-in type door control supervisory control system based on recognition of face of CN101174337A by camera collection monitoring place video image.Described system comprises video acquisition unit, video encoding unit, face identification unit, control unit and communication unit, wherein, gather video image by video acquisition unit, and carry out encoding process by described video encoding unit, by described face identification unit the video image of gathering that comprises people's face is carried out recognition of face and sends corresponding control signal according to the result who discerns again, also can carry out video coding simultaneously to the video image of gathering to preserve image scene, and by communication unit with identification video image and the people's face data in the background server compare, control according to comparison result.Though this system can realize controlling according to people's face information, because the facial image data volume is bigger, when transfer of data, need the long period on the one hand.Because described facial image data volume is bigger, when storage, need bigger space on the other hand.Because when the information of human face image information and database was compared, the treating capacity of its data was bigger, so processing speed is slower.
Summary of the invention
The technical problem that the present invention mainly solves provides a kind of intelligent recognition monitoring system and method for supervising thereof, can shorten data transmission period and improve treatment effeciency, can make the memory space of same capability can store the image feature information of more quantity simultaneously.
In order to address the above problem, the invention provides a kind of intelligent recognition monitoring system, this intelligent recognition monitoring system comprises:
Video acquisition unit is gathered video image;
Graphics processing unit is handled the video image of described video acquisition unit collection, obtains image information, and obtains image feature information from this image information, exports the two-dimensional bar code corresponding with this image feature information;
Communication unit, the two-dimensional bar code that described graphics processing unit is exported transmits;
Server carries out data interaction with described communication unit, and this two-dimensional bar code and default two-dimensional bar code is inquired about comparison handle, and carries out control corresponding according to result, and wherein, described two-dimensional bar code is corresponding with default two-dimensional bar code.
Preferably, described intelligent recognition monitoring system also comprises the alarm that is electrically connected with described server.
Preferably, described alarm comprises loud speaker, hummer, light or electromagnetic shaker.
Preferably, described communication unit comprises wired communication unit and radio communication unit.
Preferably, described communication unit comprises TD-SCDMA radio communication unit, CDMA2000 radio communication unit, WCDMA radio communication unit, WAP or WIFI.
Preferably, described intelligent recognition monitoring system also comprises the driver that is connected with described video acquisition unit, when the image of described video acquisition unit collection comprises image feature information when identical with information in the database, camera in the described driver drives video acquisition unit rotates, and described camera is followed the tracks of within the specific limits gathered the image with this image feature information.
Another purpose of the present invention also is to provide a kind of Intelligent Recognition method for supervising, and this Intelligent Recognition method for supervising may further comprise the steps:
Gather video image;
Video image is handled, obtained image information;
Described image information is handled, and generated the two-dimensional bar code corresponding with this image feature information;
The two-dimensional bar code that image feature information default in described two-dimensional bar code and the database is corresponding is inquired about comparison, and carries out command adapted thereto according to comparison result.
Preferably, the two-dimensional bar code step of described default image feature information correspondence comprises:
Gather video image;
Video image is handled, obtained image information;
Described image information is handled, and generated the two-dimensional bar code corresponding with this image feature information.
Preferably, described information is handled, and the step that generates the two-dimensional bar code corresponding with this image feature information comprises obtain the image feature information step from image information.
Intelligent recognition monitoring system of the present invention and method for supervising, by graphics processing unit the video image of video acquisition unit collection is handled, obtained image information, and image information is handled, obtain image feature information, and this image feature information is handled the generation two-dimensional bar code; By described communication unit described two-dimensional bar code is transmitted again; Server is inquired about comparison with described two-dimensional bar code and default two-dimensional bar code, carries out control corresponding according to comparison result.Because the dazzling two-dimensional bar code that is generated by image feature information of described communication unit transmission, this data volume is little, so the transfer of data degree is fast; Be provided with corresponding two-dimensional bar code in the described server simultaneously,, need the data of processing also less, thereby can improve processing speed because the data volume of two-dimensional bar code is less.Described two-dimensional bar code data volume is less, can make the memory space of same capability can store the image feature information of more quantity.
Description of drawings
Fig. 1 is an intelligent recognition monitoring system embodiment principle schematic of the present invention;
Fig. 2 is another embodiment principle schematic of intelligent recognition monitoring system of the present invention;
Fig. 3 is an Intelligent Recognition method for supervising flow chart of the present invention.
Below in conjunction with embodiment, and with reference to accompanying drawing, realization, functional characteristics and the advantage of the object of the invention is described further.
Embodiment
As shown in Figure 1, the invention provides a kind of embodiment of intelligent recognition monitoring system.
Described intelligent recognition monitoring system comprises: server 1 and the video acquisition processing module 2 that is electrically connected with described server 1, described service 1 is used for the data of described video acquisition processing module 2 transmission are compared processing with the data of presetting, and exports corresponding result or/and control command; Described video acquisition processing module 2 is used to gather video image, and the video image of this collection is handled.The quantity of described video acquisition processing module 2 can be provided with as required, for example can be one, two or more.Each described video acquisition processing module 2 all is provided with unique identiflication number, and this identiflication number is corresponding with the position at its place, this identiflication number and with it corresponding position information be stored in the database of described server 1.
Described video acquisition processing module 2 comprises: video acquisition unit 22, and this video acquisition unit 22 is used to gather video image; Graphics processing unit 23 is electrically connected with described video acquisition unit 22, the video image that described video acquisition unit 22 is gathered is handled, obtain the portion's image information in the video image, and from this image information, obtain image feature information, export the two-dimensional bar code corresponding with this image feature information; Communication unit 24 is electrically connected respectively with described control unit 21 and graphics processing unit 23, and the two-dimensional bar code that described graphics processing unit 23 is exported transmits.
Specifically, the image feature information that described graphics processing unit 23 obtains from described image information, and with this image feature information processing generation two-dimensional bar code.Be preset with the two-dimensional bar code of this image feature information in the described server 1, the two-dimensional bar code of the image correspondence of collection is corresponding with default two-dimensional bar code.Described video acquisition unit 22 also can be when gathering video image, write down corresponding time and corresponding video acquisition unit 22 positions, when video image is handled, with described time and positional information corresponding with this image, and be preset in two-dimensional bar code binding in the database.This server 1 of institute carries out data interaction with described communication unit 24, and this two-dimensional bar code is inquired about comparison with default default two-dimensional bar code handle, and carries out control corresponding according to result, and this two-dimensional bar code is corresponding with default two-dimensional bar code.
Gather video image by described video acquisition unit 22, and give described graphics processing unit 23 transmission of video images of gathering.Video image by 23 pairs of described collections of described graphics processing unit is handled, extract the image information in the described video image earlier, again described image information is handled, obtain image feature information, and this image feature information generated two-dimensional bar code, and the two-dimensional bar code that generates is transferred to described communication unit 24.Described communication unit 24 is transferred to described server 1 with the two-dimensional bar code that generates in wireless or wired mode.Described server 1 is inquired about comparison with the two-dimensional bar code that receives with default information, and exports corresponding result or/and control command is given the video acquisition processing module 2 of this two-dimensional bar code of input.
Default two-dimensional bar code is to gather corresponding image feature information by described video acquisition processing module 2 in advance in the described server 1, and image feature information processing generation two-dimensional bar code is stored in the described server 1.Described image feature information is chosen many more, and then the two-dimensional bar code amount of Sheng Chenging is also just big more, and characteristics of image is also just accurate more.For example can to choose the central point of nose be basic point to people's face image feature, with eyes, mouth, ear etc. up and down the distance between multiple spot and the basic point and turn to corresponding two-dimensional bar code with parameter is defeated as parameter.
Because described graphics processing unit 23 is processed into corresponding two-dimensional bar code with image feature information, the data volume of two-dimensional bar code that includes everyone image feature information is less, and when described communication unit 24 these two-dimensional bar codes of transmission, data transmission period is shorter.Be provided with corresponding two-dimensional bar code in the described server simultaneously,, need the data of processing also less, thereby can improve processing speed because the data volume of two-dimensional bar code is less.Described two-dimensional bar code data volume is less, can make the memory space of same capability can store the image feature information of more quantity.
As shown in Figure 2, in the above-described embodiments, described intelligent recognition monitoring system also comprises respectively the driver 26 with described video acquisition unit 22.When the image feature information of gathering when described video acquisition unit 22 is identical with the two-dimensional bar code of presetting, the camera that described driver 26 drives in the described video acquisition unit 22 rotates, and described camera is followed the tracks of within the specific limits gathered the image with this image feature information.
Described intelligent recognition monitoring system also comprises the image tracking cell 25 that is connected with described video acquisition unit 22 respectively.When depositing in the characteristics of image that described video acquisition unit 22 is gathered when identical with information in the described image feature base, the image of 25 pairs of described image feature informations of described image tracking cell carries out locking tracking.
Described intelligent recognition monitoring system also comprises the alarm 3 that is electrically connected with described server 1, when described server 1 is compared the two-dimensional bar code that receives to default information, described two-dimensional bar code is identical with default information, information that should be default again for set to picture the time, described server 1 output control command carries out alarm for described alarm 3.Described alarm 3 comprises loud speaker, hummer, light or electromagnetic shaker.Described communication unit 24 comprises wired communication unit and radio communication unit, wherein said radio communication unit comprises TD-SCDMA radio communication unit, CDMA2000 radio communication unit, WCDMA radio communication unit, WAP or WIFI, also can be made as the wire communication unit as required.Described graphics processing unit 23 should have stronger calculation process ability, and these graphics processing unit 23 abilities are then strong more, and the speed of output two-dimensional bar code is also fast more, and it can be two or polycaryon processor, processing unit or computer.
Described intelligent recognition monitoring system can just extensively be used should be in various protection and monitor field.
Described intelligent recognition monitoring system can be widely used in each field, for example, described intelligent recognition monitoring system can be applied to the population management.This intelligent recognition monitoring system comprises plurality of video acquisition processing module 2, and each described video acquisition processing module 2 is carried out data interaction with server 1.Each video acquisition processing module 2 all has unique recognition coding, and this recognition coding is corresponding with the particular location at its place.
Population management's relevant information is arranged in the described server 1, gather facial image as example by video acquisition processing module 2, and the image feature information of this facial image correspondence handled generate corresponding two-dimensional bar code, and, form database as information such as identification card number, address and corresponding two-dimensional bar code with the people's of this facial image characteristic information correspondence relevant information.
For example, the database in the described server 1 comprises the face-image feature two-dimensional bar code of A and comprises identity informations such as the identification card number bound with this two-dimensional bar code, home address, and the A time and the positional information of being gathered by video acquisition unit 22 at last.
After the described video acquisition unit 22 in the video acquisition processing module 2 that is in B1 is gathered face's video image of A during at 10:00, face's video image by 23 couples of A of described graphics processing unit is handled, A face image information in face's video image of the extraction A of elder generation, again this A face image information is handled, obtain A face image characteristic information, and A face image characteristic information is generated the two-dimensional bar code of A face image feature.By the data transmission channel of described communication unit 24 two-dimensional bar code of A face image feature is transferred to described server 1 in wireless or wired mode.
Described server 1 is compared the two-dimensional bar code of the A face image feature that receives with default two-dimensional bar code, and the face's video image time 10:00 of record acquisition A and position B1 information.Simultaneously the two-dimensional bar code of the A face image feature in time 10:00 and the B1 information and date storehouse, position is bound.
After the described video acquisition unit 22 in the video acquisition processing module 2 that is in the B2 place is gathered face's video image of A during at 10:30, face's video image by 23 couples of A of described graphics processing unit is handled, A face image information in face's video image of the extraction A of elder generation, again this A face image information is handled, obtain A face image characteristic information, and A face image characteristic information is generated the two-dimensional bar code of A face image feature.By the data transmission channel of described communication unit 24 two-dimensional bar code of A face image feature is transferred to described server 1 in wireless or wired mode.
Described server 1 is compared the two-dimensional bar code of the A face image feature that receives with default two-dimensional bar code, and face's video image time 10:00 and the position B1 information updating that will gather A are new time 10:30 and place B2 information.Simultaneously the two-dimensional bar code of the A face image feature in new time 10:30 and the B2 information and date storehouse, position is bound.
Face's video image time and the positional information of different time and station acquisition A can be stored in respectively in the database as required, determine that according to record A face's video image time, position A is at the action message of section sometime.
When inquiring about, can process during identity information such as the identification card number of input A or home address, can transfer the when and where of the up-to-date appearance of A of binding with the A identity information, perhaps A is at the action message of section sometime, and is therefore easy-to-look-up.
The alarm condition is set as required, and when the two-dimensional bar code of the A face image feature of gathering was identical with the alert if of setting in the server 1, then described server 1 was controlled reminding module 3 and is carried out alarm.
As shown in Figure 3, the present invention also is to provide a kind of Intelligent Recognition method for supervising of intelligent recognition monitoring system, and this Intelligent Recognition method for supervising may further comprise the steps:
Step S11 gathers video image; Specifically, gather video image by the video acquisition unit in the described video acquisition processing module 2 22; Described video image can comprise people face video image.
Step S12 handles video image, obtains image information; Specifically, handle by the video image that 23 couples of described step S11 of described graphics processing unit gather, and from described video image, obtain image information.
Step S13 handles described image information, and generates the two-dimensional bar code corresponding with this image feature information; Specifically, handle, obtain the image feature information in this image information, and this image feature information is generated two-dimensional bar code by the image information among 23 couples of above-mentioned steps S12 of described graphics processing unit; For example, can the portion of choosing a bit as with reference to point, and with the distance between other characteristics of image of portion and this reference point as an image feature information, the image feature information of choosing is many more, then the two-dimensional bar code amount is big more, the data precision of correspondence is also high more.
Step S14, the information that described two-dimensional bar code is corresponding with default image feature information is compared, the output comparison result.Specifically, two the dimension sign indicating numbers that record image feature information that described graphics processing unit 23 generated by the described communication unit 24 of described control unit 21 controls with mode or Network Transmission give described server 1, compare by 1 pair of described two-dimensional bar code of this server and default information.
Step S15, according to step S14 comparison result, and according to comparison result execution command adapted thereto.
In above-mentioned steps S14, the two-dimensional bar code step of default image feature information correspondence comprises:
Step S141 gathers video image; Specifically, gather video image by the video acquisition unit in the described video acquisition processing module 2 22.
Step S142 handles video image, obtains image information; Specifically, handle by the video image of gathering among 23 couples of described step S141 of described graphics processing unit, and from described video image, obtain image information.
Step S143 handles described image information, and generates the two-dimensional bar code corresponding with this image feature information; Specifically, handle, obtain the image feature information in this image information, and this image feature information is generated two-dimensional bar code by the image information among 23 couples of above-mentioned steps S142 of described graphics processing unit.
In above-mentioned enforcement, described information is handled, and the step that generates the two-dimensional bar code corresponding with this image feature information comprises obtain the image feature information step from image information.
The above only is the preferred embodiments of the present invention; be not so limit claim of the present invention; every equivalent structure or equivalent flow process conversion that utilizes specification of the present invention and accompanying drawing content to be done; or directly or indirectly be used in other relevant technical fields, all in like manner be included in the scope of patent protection of the present invention.
Claims (9)
1. intelligent recognition monitoring system is characterized in that: it comprises,
Video acquisition unit is gathered video image;
Graphics processing unit is handled the video image of described video acquisition unit collection, obtains image information, and obtains image feature information from this image information, exports the two-dimensional bar code corresponding with this image feature information;
Communication unit, the two-dimensional bar code that described graphics processing unit is exported transmits;
Server carries out data interaction with described communication unit, and this two-dimensional bar code is inquired about comparison with default default two-dimensional bar code handle, and carries out control corresponding according to result, and this two-dimensional bar code is corresponding with default two-dimensional bar code.
2. intelligent recognition monitoring system according to claim 1 is characterized in that:
Described intelligent recognition monitoring system also comprises the alarm that is electrically connected with described server.
3. intelligent recognition monitoring system according to claim 2 is characterized in that:
Described alarm comprises loud speaker, hummer, light or electromagnetic shaker.
4. intelligent recognition monitoring system according to claim 1 and 2 is characterized in that:
Described communication unit comprises wired communication unit and radio communication unit.
5. intelligent recognition monitoring system according to claim 4 is characterized in that:
Described communication unit comprises TD-SCDMA radio communication unit, CDMA2000 radio communication unit, WCDMA radio communication unit, WAP or WIFI.
6. intelligent recognition monitoring system according to claim 1 and 2 is characterized in that:
Described intelligent recognition monitoring system also comprises the driver that is connected with described video acquisition unit, when the image of described video acquisition unit collection comprises image feature information when identical with information in the database, camera in the described driver drives video acquisition unit rotates, and described camera is followed the tracks of within the specific limits gathered the image with this image feature information.
7. the method for Intelligent Recognition monitoring according to claim 1, it comprises step:
Gather video image;
Video image is handled, obtained image information;
Described image information is handled, and generated the two-dimensional bar code corresponding with this image feature information;
The two-dimensional bar code that image feature information default in described two-dimensional bar code and the database is corresponding is inquired about comparison, and carries out command adapted thereto according to comparison result.
8. according to the described Intelligent Recognition method for supervising of claim 7, it is characterized in that the two-dimensional bar code step of described default image feature information correspondence comprises:
Gather video image;
Video image is handled, obtained image information;
Described image information is handled, and generated the two-dimensional bar code corresponding with this image feature information.
9. according to claim 7 or 8 described Intelligent Recognition method for supervising, it is characterized in that:
Described information is handled, and the step that generates the two-dimensional bar code corresponding with this image feature information comprises obtain the image feature information step from image information.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101964046A (en) * | 2010-10-28 | 2011-02-02 | 四川长虹电器股份有限公司 | Barcode scanning and identifying method |
| CN103209320A (en) * | 2013-03-29 | 2013-07-17 | 苏州福丰科技有限公司 | Intelligent monitoring system based on face recognition |
| CN103220502A (en) * | 2013-03-26 | 2013-07-24 | 苏州福丰科技有限公司 | Digital signal processor (DSP) embedded type video face collection network server |
| CN103365404A (en) * | 2012-04-01 | 2013-10-23 | 联想(北京)有限公司 | Human-computer interaction method and human-computer interaction device |
| CN103411976A (en) * | 2013-08-16 | 2013-11-27 | 上海德科电子仪表有限公司 | Automatic checking system and method of automobile digital clock |
| WO2015196895A1 (en) * | 2014-06-24 | 2015-12-30 | 陈凯柏 | Lighting device controlled by image recognition system |
| CN106228570A (en) * | 2016-07-08 | 2016-12-14 | 百度在线网络技术（北京）有限公司 | A kind of Truth data determines method and apparatus |
| CN106296949A (en) * | 2016-09-13 | 2017-01-04 | 成都创慧科达科技有限公司 | A kind of gate control system based on H264 video decoding techniques and method |
| CN110763297A (en) * | 2019-10-09 | 2020-02-07 | 中水淮河规划设计研究有限公司 | Intelligent water gauge water level identification system based on video |
| WO2020135226A1 (en) * | 2018-12-29 | 2020-07-02 | 刘铁楠 | Drainage monitoring system and method based on image recognition |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101964046B (en) * | 2010-10-28 | 2012-07-25 | 四川长虹电器股份有限公司 | Barcode scanning and identifying method |
| CN101964046A (en) * | 2010-10-28 | 2011-02-02 | 四川长虹电器股份有限公司 | Barcode scanning and identifying method |
| CN103365404B (en) * | 2012-04-01 | 2016-07-06 | 联想(北京)有限公司 | A kind of method and apparatus of man-machine interaction |
| CN103365404A (en) * | 2012-04-01 | 2013-10-23 | 联想(北京)有限公司 | Human-computer interaction method and human-computer interaction device |
| CN103220502A (en) * | 2013-03-26 | 2013-07-24 | 苏州福丰科技有限公司 | Digital signal processor (DSP) embedded type video face collection network server |
| CN103209320A (en) * | 2013-03-29 | 2013-07-17 | 苏州福丰科技有限公司 | Intelligent monitoring system based on face recognition |
| CN103411976A (en) * | 2013-08-16 | 2013-11-27 | 上海德科电子仪表有限公司 | Automatic checking system and method of automobile digital clock |
| WO2015196895A1 (en) * | 2014-06-24 | 2015-12-30 | 陈凯柏 | Lighting device controlled by image recognition system |
| CN106228570A (en) * | 2016-07-08 | 2016-12-14 | 百度在线网络技术（北京）有限公司 | A kind of Truth data determines method and apparatus |
| CN106228570B (en) * | 2016-07-08 | 2019-04-09 | 百度在线网络技术（北京）有限公司 | A kind of Truth data determines method and apparatus |
| CN106296949A (en) * | 2016-09-13 | 2017-01-04 | 成都创慧科达科技有限公司 | A kind of gate control system based on H264 video decoding techniques and method |
| CN106296949B (en) * | 2016-09-13 | 2018-11-27 | 成都创慧科达科技有限公司 | A kind of access control system and method based on H264 video decoding techniques |
| WO2020135226A1 (en) * | 2018-12-29 | 2020-07-02 | 刘铁楠 | Drainage monitoring system and method based on image recognition |
| CN110763297A (en) * | 2019-10-09 | 2020-02-07 | 中水淮河规划设计研究有限公司 | Intelligent water gauge water level identification system based on video |
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Open date: 20100602 |