CN113128356A - Smart city monitoring system based on image recognition - Google Patents
Smart city monitoring system based on image recognition Download PDFInfo
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- CN113128356A CN113128356A CN202110336357.7A CN202110336357A CN113128356A CN 113128356 A CN113128356 A CN 113128356A CN 202110336357 A CN202110336357 A CN 202110336357A CN 113128356 A CN113128356 A CN 113128356A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5838—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
Abstract
The invention discloses an intelligent city monitoring system based on image recognition, which comprises a central processing unit, an image collection module, a face recognition module, a color recognition module, an alarm module and a touch screen display; the facial recognition module comprises a feature point recognition unit, a displacement output unit and a distance calculation unit, wherein the feature point recognition unit is used for detecting a face image, positioning key facial feature points and completing extraction of the face feature points through a recognition algorithm, and the displacement output unit is used for outputting displacement and azimuth angles of the single-lens imaging element when the single-lens imaging element receives face recognition information at different position points. The invention has reasonable design and ingenious conception, does not need to watch the monitoring all the time, greatly reduces the searching time, has high convenience and is suitable for popularization.
Description
Technical Field
The invention relates to the technical field of city monitoring systems, in particular to an intelligent city monitoring system based on image recognition.
Background
With the continuous development of human society, cities will bear more and more population in the future, and in order to realize the sustainable development of the cities, the establishment of smart cities becomes the historical trend that the city development in the world is irreversible, while a monitoring system is indispensable in the construction process of the smart cities, the monitoring system is also called a closed circuit television monitoring system, a typical monitoring system mainly comprises five parts, namely front-end audio and video acquisition equipment, audio and video transmission equipment and rear-end storage, control and display equipment, wherein the rear-end equipment can be further divided into central control equipment and sub-control equipment. The front-end equipment and the back-end equipment have various forming modes, the connection (also called as a transmission system) between the front-end equipment and the back-end equipment can be realized by various modes such as a coaxial cable, a twisted pair, an optical fiber, microwave, wireless and the like, the monitoring system comprises a front-end video acquisition system, a video transmission system and a terminal display system, the monitoring does not refer to a closed circuit television monitoring system, but the monitoring system in the traditional sense comprises a front-end camera (comprising a dome camera, an infrared camera, an all-in-one machine and the like), middle-end equipment (an optical terminal, a network video server and the like), and a back-end equipment host (a hard disk video recorder, a matrix and the like) (one monitoring management platform of a third.
Among the prior art, current monitored control system only can carry out real-time video monitoring, needs artifical on duty, makes the control have the limitation, loses when someone, needs look for someone on the surveillance video, generally need always watch this several days's control, consumes a large amount of time to look for, and the convenience is low, causes more inconvenience.
Disclosure of Invention
The invention aims to provide an intelligent city monitoring system based on image recognition to solve the problems in the background technology.
In order to achieve the purpose, the invention adopts the following technical scheme:
a smart city monitoring system based on image recognition comprises a central processing unit, an image collection module, a face recognition module, a color recognition module, an alarm module and a touch screen display;
the facial recognition module comprises a feature point recognition unit, a displacement output unit and a distance calculation unit, wherein the feature point recognition unit is used for detecting a human face image, positioning key feature points of the face and completing the extraction of the human face feature points through a recognition algorithm, the displacement output unit is used for outputting displacement and azimuth angles of the single-lens imaging element when the single-lens imaging element receives the human face recognition information at different position points, and the distance calculation unit is used for calculating the depth distance from the human face feature points to a connecting line of the single-lens imaging element receiving the different position points of the human face recognition information through the human face feature points provided by the feature point recognition module and the displacement and azimuth angles output by the displacement output module;
the signal output end of the image collection module is respectively in electric signal connection with the signal input ends of the feature point identification unit, the displacement output unit and the distance calculation unit, the signal input end of the image collection module is in electric signal connection with the output end of the color identification module, and the image collection module is used for shooting and collecting external video data;
the signal output ends of the feature point recognition unit, the displacement output unit and the distance calculation unit in the face recognition module are all in electric signal connection with the signal input end of the central processing unit, and the signal output end of the color recognition module is in electric signal connection with the signal input end of the central processing unit;
the signal input end of the alarm module is in electric signal connection with the signal input end of the central processing unit;
and the touch screen display is connected with the central processing unit through electric signals.
As a further improvement scheme of the technical scheme: the image collection module is a CCD high-definition camera.
As a further improvement scheme of the technical scheme: the color identification module is a TCS230 color sensor.
As a further improvement scheme of the technical scheme: the central processor is an MSP430 singlechip or a PLC controller with the model number of OMRON CP1E-N20 DR-D.
As a further improvement scheme of the technical scheme: the alarm module is a loudspeaker.
As a further improvement scheme of the technical scheme: the power supply signal output end of the power supply is connected with the power supply signal input end of the power supply processing circuit; and the power supply signal output end of the power supply processing circuit is connected with the power supply signal input end of the central processing unit.
Compared with the prior art, the invention has the beneficial effects that:
when a lost person needs to be searched, facial image data of the person to be searched and the whole clothes are approximately in several colors, the image collection module transmits image video data to the color recognition module, the color recognition module automatically recognizes the colors of the person clothes in each frame of image of the video, then the recognized color data are transmitted to the central processing unit, the image collection module simultaneously transmits the image video data to a feature point recognition unit, a displacement output unit and a distance calculation unit in the facial recognition module, the feature point recognition unit is used for detecting a face image, positioning a facial key feature point and finishing the extraction of the face feature point through a recognition algorithm, the displacement output unit is used for outputting the displacement and the azimuth of a single-lens imaging element when the face recognition information is received in different position points, and the distance calculation unit is used for outputting the face feature point provided by the feature point recognition module and the displacement output by the output module The displacement and the azimuth of the human face feature point, the depth distance from the human face feature point to a connecting line of two different position points of the single-lens imaging element which receives the human face identification information, then the facial data of each person in each frame is shot by the facial identification module and is transmitted to the central processing unit, the central processing unit automatically matches the received facial data of each person in each frame and the color data of the clothes of the person in each frame with the facial image data and the color data of the clothes of the person to be searched, when the person in a certain frame of image is simultaneously matched with the facial image data and the color data of the clothes of the person to be searched, the central processing unit enables the alarm module to give out an alarm sound to prompt surrounding workers, and simultaneously displays the image of the frame on the touch screen display, thereby being convenient for searching in time, the device has reasonable design and ingenious design, and does not need to monitor and watch all the, greatly reducing the searching time, having high convenience and being suitable for popularization.
Drawings
Fig. 1 is a schematic diagram of a system structure of a smart city monitoring system based on image recognition according to the present invention;
fig. 2 is a schematic structural diagram of a face recognition module in the smart city monitoring system based on image recognition according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, in an embodiment of the present invention, an image recognition-based smart city monitoring system includes a central processing unit, an image collection module, a face recognition module, a color recognition module, an alarm module, and a touch screen display;
the face recognition module comprises a feature point recognition unit, a displacement output unit and a distance calculation unit, wherein the feature point recognition unit is used for detecting a face image, positioning key feature points of the face and finishing the extraction of the face feature points through a recognition algorithm, the displacement output unit is used for outputting the displacement and the azimuth angle of a single-lens imaging element when the single-lens imaging element receives face recognition information at different position points, and the distance calculation unit is used for calculating the depth distance from the face feature points to a connecting line between the single-lens imaging element and the different two position points receiving the face recognition information through the face feature points provided by the feature point recognition module and the displacement and the azimuth angle output by the displacement output module;
the signal output end of the image collection module is respectively in electric signal connection with the signal input ends of the feature point identification unit, the displacement output unit and the distance calculation unit, the signal input end of the image collection module is in electric signal connection with the output end of the color identification module, and the image collection module is used for shooting and collecting external video data;
the signal output ends of the feature point identification unit, the displacement output unit and the distance calculation unit in the face identification module are all in electric signal connection with the signal input end of the central processing unit, and the signal output end of the color identification module is in electric signal connection with the signal input end of the central processing unit;
the signal input end of the alarm module is in electric signal connection with the signal input end of the central processing unit;
the touch screen display is connected with the central processing unit through electric signals.
Referring to fig. 1, the image collection module is a CCD high definition camera.
Referring to fig. 1, the color recognition module is a TCS230 color sensor.
Referring to fig. 1, the central processor is an MSP430 single chip microcomputer or a PLC controller with model number OMRON CP1E-N20 DR-D.
Referring to fig. 1, the alarm module is a speaker.
Referring to fig. 1, the power supply further includes a power supply and a power supply processing circuit, wherein a power supply signal output terminal of the power supply is connected to a power supply signal input terminal of the power supply processing circuit; the power supply signal output end of the power supply processing circuit is connected with the power supply signal input end of the central processing unit.
The working principle of the invention is as follows:
when a lost person needs to be searched, facial image data of the person to be searched and the whole clothes are approximately in several colors, the image collection module transmits image video data to the color recognition module, the color recognition module automatically recognizes the colors of the person clothes in each frame of image of the video, then the recognized color data are transmitted to the central processing unit, the image collection module simultaneously transmits the image video data to a feature point recognition unit, a displacement output unit and a distance calculation unit in the facial recognition module, the feature point recognition unit is used for detecting a face image, positioning a facial key feature point and finishing the extraction of the face feature point through a recognition algorithm, the displacement output unit is used for outputting the displacement and the azimuth of a single-lens imaging element when the face recognition information is received in different position points, and the distance calculation unit is used for outputting the face feature point provided by the feature point recognition module and the displacement output by the output module The displacement and the azimuth of the human face feature point, the depth distance from the human face feature point to a connecting line of two different position points of the single-lens imaging element which receives the human face identification information, then the facial data of each person in each frame is shot by the facial identification module and is transmitted to the central processing unit, the central processing unit automatically matches the received facial data of each person in each frame and the color data of the clothes of the person in each frame with the facial image data and the color data of the clothes of the person to be searched, when the person in a certain frame of image is simultaneously matched with the facial image data and the color data of the clothes of the person to be searched, the central processing unit enables the alarm module to give out an alarm sound to prompt surrounding workers, and simultaneously displays the image of the frame on the touch screen display, thereby being convenient for searching in time, the device has reasonable design and ingenious design, and does not need to monitor and watch all the, greatly reducing the searching time, having high convenience and being suitable for popularization.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.
Claims (6)
1. A smart city monitoring system based on image recognition is characterized by comprising a central processing unit, an image collection module, a face recognition module, a color recognition module, an alarm module and a touch screen display;
the facial recognition module comprises a feature point recognition unit, a displacement output unit and a distance calculation unit, wherein the feature point recognition unit is used for detecting a human face image, positioning key feature points of the face and completing the extraction of the human face feature points through a recognition algorithm, the displacement output unit is used for outputting displacement and azimuth angles of the single-lens imaging element when the single-lens imaging element receives the human face recognition information at different position points, and the distance calculation unit is used for calculating the depth distance from the human face feature points to a connecting line of the single-lens imaging element receiving the different position points of the human face recognition information through the human face feature points provided by the feature point recognition module and the displacement and azimuth angles output by the displacement output module;
the signal output end of the image collection module is respectively in electric signal connection with the signal input ends of the feature point identification unit, the displacement output unit and the distance calculation unit, the signal input end of the image collection module is in electric signal connection with the output end of the color identification module, and the image collection module is used for shooting and collecting external video data;
the signal output ends of the feature point recognition unit, the displacement output unit and the distance calculation unit in the face recognition module are all in electric signal connection with the signal input end of the central processing unit, and the signal output end of the color recognition module is in electric signal connection with the signal input end of the central processing unit;
the signal input end of the alarm module is in electric signal connection with the signal input end of the central processing unit;
and the touch screen display is connected with the central processing unit through electric signals.
2. The intelligent city monitoring system based on image recognition as claimed in claim 1, wherein the image collection module is a CCD high definition camera.
3. The intelligent city monitoring system based on image recognition as claimed in claim 1, wherein the color recognition module is a TCS230 color sensor.
4. The intelligent city monitoring system based on image recognition as claimed in claim 1, wherein the central processor is MSP430 single chip microcomputer or PLC controller with model number OMRON CP1E-N20 DR-D.
5. The intelligent city monitoring system based on image recognition as claimed in claim 1, wherein the alarm module is a speaker.
6. The intelligent city monitoring system based on image recognition as claimed in claim 1, further comprising a power supply and a power supply processing circuit, wherein a power supply signal output terminal of the power supply is connected with a power supply signal input terminal of the power supply processing circuit; and the power supply signal output end of the power supply processing circuit is connected with the power supply signal input end of the central processing unit.
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| CN202110336357.7A CN113128356A (en) | 2021-03-29 | 2021-03-29 | Smart city monitoring system based on image recognition |
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| CN202110336357.7A CN113128356A (en) | 2021-03-29 | 2021-03-29 | Smart city monitoring system based on image recognition |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102196251A (en) * | 2011-05-24 | 2011-09-21 | 中国科学院深圳先进技术研究院 | Smart-city intelligent monitoring method and system |
| CN106997447A (en) * | 2016-01-22 | 2017-08-01 | 鸿富锦精密工业（深圳）有限公司 | Face identification system and face identification method |
| CN107615298A (en) * | 2015-05-25 | 2018-01-19 | 彻可麦迪克私人投资有限公司 | Face identification method and system |
| CN109309808A (en) * | 2017-07-26 | 2019-02-05 | 梭维智能科技（深圳）有限公司 | A kind of monitoring system and method based on recognition of face |
-
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- 2021-03-29 CN CN202110336357.7A patent/CN113128356A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102196251A (en) * | 2011-05-24 | 2011-09-21 | 中国科学院深圳先进技术研究院 | Smart-city intelligent monitoring method and system |
| CN107615298A (en) * | 2015-05-25 | 2018-01-19 | 彻可麦迪克私人投资有限公司 | Face identification method and system |
| CN106997447A (en) * | 2016-01-22 | 2017-08-01 | 鸿富锦精密工业（深圳）有限公司 | Face identification system and face identification method |
| CN109309808A (en) * | 2017-07-26 | 2019-02-05 | 梭维智能科技（深圳）有限公司 | A kind of monitoring system and method based on recognition of face |
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