CN106439656A

CN106439656A - Human face recognition system and intelligent street lamp

Info

Publication number: CN106439656A
Application number: CN201610970557.7A
Authority: CN
Inventors: 邹柱峰
Original assignee: Jiangsu Won Bid For Energy Saving Science And Technology Development Ltd By Share Ltd
Current assignee: Jiangsu Won Bid For Energy Saving Science And Technology Development Ltd By Share Ltd
Priority date: 2016-10-28
Filing date: 2016-10-28
Publication date: 2017-02-22

Abstract

The invention provides a human face recognition system and an intelligent street lamp. The human face recognition system includes a human face capturing and tracking module, an RFID human face recognition and comparison module, a human face modeling and retrieval module, a real person identification module, an image quality detection module and an alarm module, wherein the human face capturing and tracking module, the RFID human face recognition and comparison module, the human face modeling and retrieval module, the real person identification module, the image quality detection module and the alarm module are electrically connected with a processor respectively, so that a deadbeat is identified out by comparing an RFID tag input in advance with the identified human face, and an alarm can be given in time. The intelligent street lamp includes the human face recognition system arranged at one side of the intelligent street lamp. According to the human face recognition system and the intelligent street lamp with the human face recognition system after improvement, the deadbeat and criminals can be identified out and the alarm can be given in time.

Description

Face recognition system and intelligent street lamp

Technical Field

The present invention relates generally to the field of lighting technology, and more particularly, but not exclusively, to street lamps, and more particularly, to intelligent street lamps with a face recognition system.

Background

A certain 'old-time' is to avoid the dry police of the court, and a monitor is arranged at the door of the court, so long as people in the court see the court, the door can not be closed, and the executive can report and give an executive '110' only in order to wait for the 'old-time' to come home. After a day, the user waits for the 'old dependence' to start and stop at the door of a house, reports the 'old dependence' immediately, executes the '110' and immediately checks the 'old dependence' on the spot, and forces the 'old dependence' to pay out the debt.

However, this approach to staring at personnel consumes a significant amount of manpower and material resources.

In view of the above, the applicant of the present invention installs a face recognition system on a street lamp, the face recognition system is installed on a street lamp of an urban road or a street lamp of a residential district, and a street lamp of a parking lot, each undertaking officer of a court execution court of a garden provides an identification card and a life close-up of an executed person, and the identification card and the life close-up are entered into the face recognition system, so that the face recognition system automatically captures face information and checks the face information with the executed person information entered into the system before. If the information of the person to be executed in the system is matched, the face recognition system can automatically alarm, and law enforcement personnel can arrive and control 'old dependence' at the first time.

Disclosure of Invention

The invention aims to provide a face recognition system and an intelligent street lamp, and aims to solve the technical problems that a common intelligent street lamp in the prior art does not have the face recognition system, cannot recognize criminals and can give an alarm in time.

The invention provides a face recognition system, which comprises a face capturing and tracking module, an RFID face recognition comparison module, a face modeling and retrieval module, a real person identification module, an image quality detection module and an alarm module, wherein the face capturing and tracking module is used for capturing and tracking a face; wherein,

the face capturing and tracking module is electrically connected with the RFID face recognition comparison module, the face modeling and retrieval module, the real person identification module and the image quality detection module respectively, and is finally electrically connected with the alarm module so as to identify the old and the timely alarm by comparing the RFID label input in advance with the recognized face.

The invention also provides an intelligent street lamp which comprises the face recognition system, and the face recognition system is arranged on one side of the intelligent street lamp.

The intelligent street lamp further comprises a sensor, a video monitoring system and an emergency call system which are sequentially arranged on the intelligent street lamp from top to bottom, wherein the sensor, the video monitoring system and the emergency call system are arranged on the same side as the face identification system, and the face identification system is arranged between the video monitoring system and the emergency call system.

Furthermore, an intelligent lighting system, a wireless network, an information issuing system and a charging pile are sequentially arranged on the other side of the intelligent street lamp from top to bottom.

Further, the sensors include a noise sensor, a temperature sensor, a humidity sensor, and a brightness sensor electrically connected to the processor to enable real-time monitoring of urban environmental conditions, air pollution, and municipal buildings.

Further, the video monitoring system comprises a security monitoring device and a vehicle monitoring device which are connected with the processor.

Further, the emergency call system comprises a monitoring center and an external field extension connected with the monitoring center, so that the monitoring center can actively broadcast to the external field.

Furthermore, the intelligent lighting system comprises an intelligent single lamp connected with the centralized controller and a modular design lamp holder covering the intelligent single lamp, and a honeycomb type radiator is further arranged at the bottom end of the modular design lamp holder.

Further, the wireless network is embedded with a WIFI hotspot.

Further, the charging pile is used for charging electric automobiles and electric bicycles.

The invention provides a face recognition system and an intelligent street lamp, which have the following advantages:

in this face recognition system, including face capture and tracking module, RFID face identification compares the module, face modeling and retrieval module, real person identification module, image quality detection module and alarm module, can enter criminal's facial feature in advance inside the system, in case criminal passes through near it, discern the face through the system, if match with the information of entering in advance, the inside automatic alarm that can start of system, the law enforcement personnel will arrive in time like this, catch old and lean on or other flee the criminal, need not the personnel and squat, and is simple and convenient.

In this intelligence street lamp, use face identification system on intelligence street lamp and be furnished with the camera, can let criminal hidden.

By the arrangement, after the street lamp is improved, the street lamp is provided with the face recognition system, so that old dependence and criminals can be recognized, and meanwhile, the face recognition system can be uploaded to a public security system and a judicial system.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a system diagram of a face recognition system according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of an intelligent street lamp provided based on the embodiment of the invention in fig. 1;

fig. 3 is a schematic structural diagram of an intelligent lighting system provided in the embodiment of the present invention based on fig. 2;

fig. 4 is a schematic structural diagram of a charging pile provided by the embodiment of the invention based on fig. 2.

Reference numerals:

100-intelligent street lamp;

110-face recognition system; 120-a sensor;

130-video surveillance system; 140-emergency call system;

150-smart lighting systems; 160-a wireless network;

170-information distribution system; 180-charging pile;

111-a face capture and tracking module; 112-RFID face recognition comparison module;

113-a face modeling and retrieval module; 114-a real person identification module;

115-image quality detection module; 116-an alarm module;

151-smart single light; 152-modular design of the lamp base;

153-honeycomb heat sink.

Detailed Description

The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. 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.

In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.

As shown in fig. 1, a face recognition system 110 according to an embodiment of the present invention includes a face capturing and tracking module 111, an RFID face recognition comparison module 112, a face modeling and retrieving module 113, a real person identification module 114, an image quality detection module 115, and an alarm module 116;

referring to fig. 1, the face capturing and tracking module 111 and the RFID face recognition and comparison module 112 are electrically connected to the face modeling and retrieval module 113, the real person identification module 114, and the image quality detection module 115, respectively, and are finally electrically connected to the alarm module 116, so that the old and the young people can be identified and the alarm can be given in time by comparing the RFID tag input in advance with the recognized face.

More specifically, the following describes each component of the face recognition system 110 in this embodiment in detail.

For the face capturing and tracking module 111, the face capturing and tracking module includes a face capturing module and a portrait tracking module, and the functions of the face capturing and tracking module are equivalent to that of the central processing unit: the human face capturing means that a human image is detected in an image or a frame of a video stream, separated from a background and automatically stored; portrait tracking refers to automatically tracking a specified portrait as it moves within the range of a camera shot, using portrait capture technology.

The RFID face recognition comparison module 112 includes a radio frequency recognition module and a face recognition comparison module, wherein the face recognition comparison module compares two comparison modes, namely a binary verification mode and a search mode: the verification formula is to compare the captured portrait or the designated portrait with a certain registered portrait in the database to verify whether the portrait is the same person or not; the search-type comparison means searching and searching for whether a specified portrait exists in all the registered portraits in the database.

Preferably, RFID technology, also called RFID, is a communication technology that can identify a specific object by radio signals and read and write related data without establishing mechanical or optical contact between the identification system and the specific object. Conceptually, RFID is similar to barcode scanning, and for barcode technology, it attaches an encoded barcode to a target and uses a dedicated scanning reader to transmit information from the barcode to the scanning reader by optical signals; the RFID uses a dedicated RFID reader and a dedicated RFID tag that can be attached to a target object, and transmits information from the RFID tag to the RFID reader by using a frequency signal.

The face modeling and retrieving module 113 includes a face modeling module and a retrieving module, and the system can model the face data registered in the database to extract the features of the face, generate a face template (face feature file), and store the face template in the database. When face searching is carried out (search formula), a specified portrait is modeled, then the portrait is compared with templates of all persons in a database for identification, and finally the most similar person list is listed according to the compared similarity values.

For the real person identification module 114, the real person identification module comprises an infrared camera, a three-dimensional modeling or a 3D camera, and through the above arrangement, the system can identify whether a person in front of the camera is a real person or a photo, so as to prevent a user from using the photo as a fake. This technique requires the user to perform facial expression coordination.

For the image quality detection module 115, the quality of the image quality directly affects the recognition effect, and the image quality detection function can evaluate the image quality of the photos to be compared and provide corresponding suggested values to assist in recognition.

It should be noted here that the face modeling and retrieving module 113, the human identification module 114 and the image quality detection module 115 are equivalent to a central processing unit.

For the alarm module 116, the alarm module 116 is a junction between the face recognition system 110 and the outside, and can take an external signal into the system and control an external device, and can be divided into an input module, an output module, an input/output module, and the like according to different connected devices, where the alarm module 116 is an output port of the whole face recognition system 110.

As shown in fig. 2, an embodiment of the invention further provides an intelligent street lamp 100, which includes the face recognition system 110, and the face recognition system 110 is installed on one side of the intelligent street lamp 100.

More specifically, the following describes each component of the intelligent street lamp 100 in the present embodiment in detail.

Further, the intelligent street lamp 100 further includes a sensor 120, a video monitoring system 130 and an emergency call system 140 sequentially disposed thereon from top to bottom, the sensor 120, the video monitoring system 130 and the emergency call system 140 are disposed on the same side as the face recognition system 110, and the face recognition system 110 is disposed between the video monitoring system 130 and the emergency call system 140.

Specifically, for the sensor 120, it includes a noise sensor 120, a temperature sensor 120, a humidity sensor 120, and a brightness sensor 120 electrically connected to the processor to enable real-time monitoring of urban environmental conditions, air pollution, and municipal buildings.

Specifically, for video surveillance system 130, it includes security monitoring coupled to a processor and vehicle monitoring.

Specifically, the emergency call system 140 includes a monitoring center and a field extension connected to the monitoring center to enable the monitoring center to actively broadcast to the field.

Further, the other side of the intelligent street lamp 100 is sequentially provided with an intelligent lighting system 150, a wireless network 160, an information distribution system 170 and a charging pile 180 from top to bottom.

Specifically, as shown in fig. 3, the intelligent lighting system 150 includes an intelligent single lamp 151 connected to the centralized controller, and a modular design lamp cap 152 covering the intelligent single lamp 151, wherein a honeycomb type heat sink 153 is further disposed at a bottom end of the modular design lamp cap 152 to better dissipate heat.

Specifically, for the wireless network 160, a WIFI hotspot is embedded inside the wireless network, which facilitates people to network on the street at any time.

Specifically, the charging pile 180 is mainly used for charging an electric vehicle and an electric bicycle, as shown in fig. 4.

In addition, the intelligent street lamp 100 further includes a behavior analysis system, which is a software system integrating the collection, analysis and management of observation data. Behavioral analysis systems support this entire study process from observing the design and arrangement of the study, to collecting observed data, to analyzing and summarizing the results of the study.

The behavior analysis system comprises some of the following blocks, which can provide a better solution for the intelligent street lamp 100:

firstly, Base Module: and the basic module is used for setting a research plan, setting on site, editing off line and analyzing behavior data.

II, Video Module: the video module can record videos at the same time during observation, supports two media files at most, or is an external video tape.

Third, Multiple Video Extension: multiple video extensions, an attachment for simultaneous playback of four segments of video.

Fourthly, External Date Module: an external data module that can synchronously record such data as physiological signals through an external data acquisition system at the time of observation and can integrate such data into video for playback if such data supports. This module supports a wide range of data sources.

Fifthly, Screen Capture Module: the screen capture module can record a computer screen as a digital media file, and can be picture-in-picture (picture in picture), or capture pictures one by one, or record as an audio file.

Sixthly, Mobile Module: and the Mobile module supports the data of an Observer Mobile version of Noldus company. The Observer Mobile is a portable behavior analysis tool.

Accordingly, the behavior analysis system is mainly characterized in that:

first, systematic observation is the basic method of studying behavior and is the basic component of a broad base and application discipline. The basic technique of behavioural research is to record who has done what at what time, and it may also be desirable to record where and who these actions occur. The Noldus corporation in the netherlands has experienced over 15 years in the field of behavioral analysis. Behavioral analysis systems represent a new direction in which behavioral observation analysis software has evolved. It shifts the research mode from a pure recording behavior to recording and analyzing through a plurality of modes and data. Behavioral analysis systems are the best tools to record and analyze behaviors. The system is an integration platform which can be compatible with a wide range of data sources, and comprises a video recorder, a data acquisition system, an event recording tool and the like. You can manually record and encode various actions. All data streams can be played back simultaneously.

And secondly, carrying out semi-automatic behavior research by a computer. The greatest benefit of the computer tool is to automatically record the time when the event occurs. During observation, the computer can record the occurrence time only by focusing attention on the behavior to be observed.

And thirdly, integrating the video function. Cameras have become an essential tool in behavioral recording. You can record all details under the camera gun. The video may be used in conjunction with a variety of other data and may be used to train new viewers.

And fourthly, multi-mode research. More and more researchers are now working on the apparent observations in combination with other physiological features such as heart rate, electroencephalogram, force or eye rotation, etc. Various data can be matched with videos, so that the research workload can be reduced, and the accuracy can be improved.

And fifthly, realizing free parameter setting. Free coding can be realized in the whole research process, and research parameters can be set at will so as to realize various research purposes.

Sixthly, a quantitative method. The Observer can quantify your observations. You can define and record the behaviors you want to observe and then count and measure the characteristics of these behaviors. The Observer provides a large statistical table, and all behaviors can be systematically and objectively studied by decomposing the time.

In summary, the invention provides a face recognition system 110 and an intelligent street lamp 100, wherein the street lamp is provided with the face recognition system 110, so that the face recognition system can recognize the old and the criminals, and can upload the face recognition system to a public security system and a judicial system. Compared with the prior art, the face recognition system 110 and the intelligent street lamp 100 have great advantages, which are embodied in the following aspects:

the face recognition system 110 comprises a face capturing and tracking module 111, an RFID face recognition comparison module 112, a face modeling and retrieval module 113, a real person identification module 114, an image quality detection module 115 and an alarm module 116, and can be used for recording the facial features of a criminal into the system in advance.

Secondly, in this intelligence street lamp 100, use face identification system 110 on intelligence street lamp 100 and be furnished with the camera, can let criminal stealthy everywhere.

Thirdly, the intelligent street lamp 100 further comprises a sensor 120, a video monitoring system 130, an emergency call system 140, an intelligent lighting system 150, a wireless network 160, an information distribution system 170 and a charging pile 180, and the intelligent street lamp 100 integrates multiple functions, so that the intelligent street lamp 100 has wide application.

Due to the arrangement, after the intelligent street lamp 100 is improved, the intelligent street lamp is provided with the face recognition system 110, so that old and feeble criminals can be recognized, and meanwhile, the face recognition system can be uploaded to a public security system and a judicial system.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A face recognition system is characterized by comprising a face capturing and tracking module, an RFID face recognition comparison module, a face modeling and retrieval module, a real person identification module, an image quality detection module and an alarm module; wherein,

2. An intelligent street lamp, comprising the face recognition system of claim 1, wherein the face recognition system is arranged on one side of the intelligent street lamp.

3. The intelligent street lamp according to claim 2, further comprising a sensor, a video monitoring system and an emergency call system which are sequentially arranged on the intelligent street lamp from top to bottom, wherein the sensor, the video monitoring system and the emergency call system are arranged on the same side as the face recognition system, and the face recognition system is arranged between the video monitoring system and the emergency call system.

4. The intelligent street lamp according to claim 3, wherein the intelligent street lamp is provided with an intelligent lighting system, a wireless network, an information distribution system and a charging pile from top to bottom on the other side of the intelligent street lamp.

5. The intelligent street light as claimed in claim 3, wherein the sensors comprise a noise sensor, a temperature sensor, a humidity sensor and a brightness sensor electrically connected with the processor to enable real-time monitoring of urban environmental conditions, air pollution and municipal buildings.

6. The intelligent street lamp according to claim 3, wherein the video monitoring system comprises a security monitoring and a vehicle monitoring connected with the processor.

7. The intelligent street lamp according to claim 3, wherein the emergency call system comprises a monitoring center and a field extension connected with the monitoring center, so that the monitoring center can actively broadcast to the field.

8. The intelligent street lamp according to claim 4, wherein the intelligent lighting system comprises an intelligent single lamp connected with the centralized controller, and a modular design lamp holder covering the intelligent single lamp, and a honeycomb type heat sink is further arranged at the bottom end of the modular design lamp holder.

9. The intelligent street lamp according to claim 4, wherein the wireless network is embedded with WIFI hotspots.

10. The intelligent street lamp according to claim 4, wherein the charging pile is used for charging electric automobiles and electric bicycles.