CN110688912A - IPv6 cloud interconnection-based online face search positioning system and method - Google Patents
IPv6 cloud interconnection-based online face search positioning system and method Download PDFInfo
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- 238000004891 communication Methods 0.000 claims abstract description 45
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- 238000000605 extraction Methods 0.000 description 4
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2101/00—Indexing scheme associated with group H04L61/00
- H04L2101/60—Types of network addresses
- H04L2101/618—Details of network addresses
- H04L2101/659—Internet protocol version 6 [IPv6] addresses
Abstract
The invention relates to an online face searching and positioning system and method based on IPv6 cloud interconnection. The system comprises a user terminal, a communication link, a cloud server and a plurality of camera modules, wherein each camera module comprises a communication interface unit, a face recognition unit based on an FPGA (field programmable gate array), a camera unit and a turntable. The invention combines face recognition and IP positioning, completes on-line face searching and positioning, and solves the application limitation of other positioning technologies. Compared with other face searching and positioning methods, the face searching and positioning method has the advantages of real-time performance and universality.
Description
Technical Field
The invention relates to the technical field of face search positioning systems, in particular to an online face search positioning system and method based on IPv6 cloud interconnection.
Background
Face recognition is a biometric technique for identifying an identity based on facial feature information of a person. Compared with other identity recognition methods, the method has the advantages of being fast, convenient, visual, reliable and the like. With the development of computer technology and optical technology, face recognition technology is widely applied to people's lives, such as face recognition attendance checking, face recognition entrance guard, face recognition positioning and the like. IPv6 is the next generation network protocol designed and formulated by IETF (the Internet Engineer Task force). Compared with the IPv4, the IPv6 can provide sufficient network addresses and a wide innovation space, is a globally recognized solution for next-generation internet business applications, and in combination with cloud computing applications, provides a more efficient channel for information processing and transmission.
Today's wireless location technology mainly includes two categories: active positioning techniques and passive positioning techniques. The active positioning technology requires positioning a target carrying device and actively participates in the positioning process, such as GPS positioning technology, WiFi signal-based indoor positioning, Zigbee network-based target positioning, and the like. However, active location techniques have limitations when the object being located is in a particular environment where it is not possible or convenient to carry the device. Passive positioning technology, i.e. the monitored or positioned target can complete the positioning and tracking of the target without carrying any equipment. The face recognition positioning technology belongs to a passive positioning technology, combines face recognition and video monitoring positioning, can determine the position of a person without a terminal, and is more convenient and faster. It is commonly used for tracing criminal trace, for example, patent CN103699677B, which collects face data through city video network and transmits the data back to local terminal to compare with local database for tracing criminal trace. However, its location of criminals is not a real-time tracking and it has no universality.
The invention provides an online face searching and positioning method and system based on IPv6 cloud interconnection. The invention integrates the FPGA development board and the camera, and the FPGA development board is used for carrying out diversified processing, namely, picture returning, positioning, face recognition and face tracking are combined at the monitoring end of the camera, so that the picture and position information of required personnel can be more conveniently called, and the integration of monitoring, face recognition and personnel positioning is realized. According to the invention, each camera module is distributed with an IP address, and under an IPv6 network, each camera module is under the network, and all camera modules form a cloud interconnection network, so that the method has the characteristic of accurate positioning and has real-time property and universality. The invention has simple operation and wide used area, and the user can identify and position the face in a mass of people by the face identification technology only by using the intelligent terminal, thereby having wider monitoring range, transmitting back the image or video in real time, calling the position and the surrounding environment of the people at any time and better meeting the related market requirements.
Disclosure of Invention
Technical problem to be solved
The invention aims to overcome the defects of the prior art, provides an online face searching and positioning system and method based on IPv6 cloud interconnection, and solves the problems that the traditional GPS positioning, IP positioning and the like are inaccurate under certain conditions, and most face recognition and positioning systems are low in instantaneity and universality.
(II) technical scheme
The technical scheme of the invention is as follows: the utility model provides an online face search and positioning system based on IPv6 cloud interconnection, includes user terminal, communication link, cloud ware and n camera modules, wherein: the user terminal is connected with the cloud server through the communication link, and the cloud server is connected with the n cameras through the communication link.
The user terminal, wherein: the user terminal is connected with the cloud server through the communication link to upload the face picture to be inquired, receives the picture or the video uploaded to the cloud server module by the camera module in real time and displays the picture or the video to a user locally.
The communication link, wherein: the communication link can be a wired link or a wireless link and is used for connecting the user terminal, the cloud server and the camera module for communication.
The cloud server, wherein: the cloud server can be a cloud service platform of each large merchant and can construct a cloud interconnection network together with the plurality of camera modules.
The camera module include communication interface unit, face identification unit, camera unit and the revolving stage based on FPGA, wherein: the communication interface unit is connected with the face recognition unit based on the FPGA, the face recognition unit based on the FPGA is respectively connected with the camera and the rotary table, and the camera unit is connected with the rotary table.
The communication interface unit is responsible for connecting and communicating the camera module and the cloud server module, and can be in wired and wireless communication.
The face recognition unit based on the FPGA carries out face image feature extraction and recognition on the picture video transmitted by the camera, returns the picture video containing the face image and the IPv6 address to the cloud server through the communication interface unit after successful recognition, and controls the turntable to mechanically rotate to follow the recognized personnel.
The camera unit can automatically adjust the definition of a picture, record sound and video while monitoring in real time and transmit the recorded sound and video to the face recognition unit based on the FPGA for face recognition.
The turntable is used for performing operations such as mechanical quick rotation on the direction of a monitored target.
An online face searching and positioning method based on IPv6 cloud interconnection comprises the following steps:
1) the user terminal logs in the account and establishes connection with the cloud server through the communication link, and the user terminal uploads the picture of the person to be searched to the cloud server.
2) The cloud server is connected with the camera module through the communication link, and the cloud server transmits the picture of the person to be searched to the face recognition unit of the camera module based on the FPGA.
3) The camera module starts working: the camera module acquires a picture of a person to be searched, which is transmitted by the cloud server, through the communication interface unit, captures the picture of the person entering the effective camera range of the camera at the moment, and then compares the captured picture of the person with the picture of the person to be searched through the face recognition unit based on the FPGA.
4) And after the face recognition unit based on the FPGA successfully recognizes the face, the rotary table machinery is controlled to operate to follow the successfully recognized face, and meanwhile, the communication interface unit is controlled to return an IPv6 address and an image video stream to the cloud server.
5) The server matches the received IPv6 address with a preset IP address coding table to find out the installation position of the camera, and transmits the face image or video stream, the IPv6 address and the geographic position to the user terminal equipment through the communication link after the matching is successful.
6) And the user terminal equipment receives the face image or video stream, the IPv6 address and the geographical position which are successfully matched and transmitted by the cloud server, and locally displays the face image or video stream, the IPv6 address and the geographical position to the user.
(III) advantageous effects
The invention has the advantages that:
1. the function is strong, and the world uses GPS system location mostly at present, and this project is fixed owing to the camera, need not GPS terminal and can confirm personnel's position, and is more convenient. The face recognition and the IP address are adopted to realize the positioning function, so that the positioning is more accurate, and the real-time monitoring and processing can be carried out on the terminal. The invention can identify and position human faces in a large number of people, has wider monitoring range, can adjust the position and the surrounding environment of the people at any time by searching and returning videos, and better meets the related market requirements.
2. The invention has low cost and short development period, and can realize video acquisition, face recognition and IP positioning on one development board.
Drawings
FIG. 1 is an online face search positioning system based on IPv6 cloud interconnection;
FIG. 2 is a camera module;
FIG. 3 is a face recognition process;
fig. 4 is a camera module network;
FIG. 5 is a diagram of a field implementation of the apparatus of 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.
The invention provides an online face searching and positioning method and system based on IPv6 cloud interconnection,
as shown in fig. 1, includes a user terminal, a communication link, a cloud server, and a plurality of camera modules. The user terminal is connected with the cloud server through the communication link, and the cloud server is connected with the n cameras through the communication link. And the user terminal logs in the account, establishes connection communication with the cloud server through a communication link, and uploads the picture of the person to be searched to the cloud server after the connection communication is established. The cloud server is connected and communicated with the camera module through the communication link, and the cloud server transmits the picture of the person to be searched to the face recognition unit of the camera module based on the FPGA, so that the camera module is in a standby state. The cloud server can acquire the IP of each camera through a camera module network formed by a plurality of camera modules, arrange and store the IP in the server, simultaneously draw a map of a monitored area, map IP addresses to the map, and store mapping information in the cloud server, wherein each IP corresponds to an area on the map. The camera module starts working: the camera module acquires a picture of a person to be searched, which is transmitted by the cloud server, through the communication interface unit, captures the picture of the person entering the effective camera range of the camera at the moment, and then compares the captured picture of the person with the picture of the person to be searched through the face recognition unit based on the FPGA. And after the face recognition unit based on the FPGA successfully recognizes the face, the rotary table machinery is controlled to operate to follow the successfully recognized face, and meanwhile, the communication interface unit is controlled to return an IPv6 address and an image video stream to the cloud server. The server matches the received IPv6 address with a preset IP address coding table to find out the installation position of the camera, and transmits the face image or video stream, the IPv6 address and the geographic position to the user terminal equipment through the communication link after the matching is successful. And the user terminal equipment receives the face image or video stream, the IPv6 address and the geographical position which are successfully matched and transmitted by the cloud server, and locally displays the face image or video stream, the IPv6 address and the geographical position to the user.
As shown in fig. 2, the camera module includes a communication interface unit, a face recognition unit based on an FPGA, a camera unit, and a turntable. The communication interface unit is connected with the face recognition unit based on the FPGA, the face recognition unit based on the FPGA is respectively connected with the camera unit and the rotary table, and the camera unit is connected with the rotary table. The communication interface unit is responsible for connecting and communicating the camera module and the cloud server and can be a wired communication unit and a wireless communication unit. The camera can automatically adjust the image definition, and the audio and video recording is carried out while the real-time monitoring is carried out and is transmitted to the face recognition unit based on the FPGA for face image recognition. The face recognition unit based on the FPGA performs face image feature extraction and recognition on the video containing the face image transmitted by the camera unit, successfully recognizes, returns the video stream containing the face image and the IPv6 address to the cloud server module through the communication interface unit, and controls the turntable to mechanically rotate to follow the face. The rotary table is responsible for performing operations such as quick rotation on the direction of the monitored target.
As shown in fig. 3, the method includes face image acquisition and detection, face image preprocessing, face image feature extraction, and matching and recognition. The method comprises the steps of continuously tracking and capturing facial photos by controlling the rotation of a turntable machine within the effective shooting range of a camera to acquire and detect facial images, acquiring the facial photos well in aspects of static images, dynamic images, different positions, different expressions and the like, detecting the faces after the acquisition is finished, namely accurately calibrating the positions and the sizes of the faces in the images, and then preprocessing the facial images. The original image acquired by the system is limited by various conditions and random interference, so that the original image cannot be directly used, and image preprocessing such as gray correction and noise filtering must be carried out on the original image at the early stage of image processing so as to serve the process of feature extraction. The human face is composed of parts such as eyes, a nose, a mouth, a chin and the like, and geometric description of the parts and the structural relationship among the parts is used as an important characteristic for human face recognition and extracted. And after the face features are extracted, matching and recognition are carried out, the extracted feature data of the face image is searched and matched with the feature template stored in the database, a threshold value is set, when the similarity exceeds the threshold value, the result obtained by matching is output, and the turntable and the camera are controlled to stretch and rotate to follow the target after the face matching is successful.
Fig. 4 shows that in a cloud interconnection network, each camera module is in the network, all the camera modules form an interconnection network, and the positioning system can be greatly optimized by using the advantages of multiple IP addresses and safe information transmission of IPv 6. The user terminal guides a picture of a person to be searched into the cloud server through the terminal, the cloud server transmits the picture to each camera module after obtaining the picture, the picture is cached in the processor, the cameras are in a standby state, the cameras are laid facing to a monitored area, an intensive camera module network is formed, the IP of each camera can be obtained, the IP is sorted and stored in the server, a map of the monitored area is drawn at the same time, IP addresses are mapped onto the map, each IP corresponds to the area on the map, and mapping information is stored in the cloud server. And when the terminal receives the IP address information and the time information returned by the server, the position information of the personnel is obtained through the preset map mapping information and is displayed on the user terminal.
Fig. 5 is a diagram showing an implementation of an exhibit scene of an IPv6 cloud-based online face search and location system and method. The invention is mainly applied to places such as families, warehouses, storefronts, companies, wards and the like to provide real-time monitoring and face detection. The system is economical and practical and is very convenient, hardware such as a server, a camera mobile phone and the like are organically combined through the Internet, face card punching can be realized in company layout, or search of lost children can be realized in a market, and the burglary prevention of a warehouse is monitored by a ward.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (3)
1. The utility model provides an online face search positioning system based on interconnection of IPv6 high in clouds, includes user terminal, communication link, cloud ware and camera module, its characterized in that: the user terminal is connected with the cloud server through the communication link, and the cloud server is connected with the cameras through the communication link respectively.
2. The camera module according to claim 1, comprising a communication interface unit, an FPGA-based face recognition unit, a camera unit, and a turntable, wherein: the communication interface unit is connected with the face recognition unit based on the FPGA, the face recognition unit based on the FPGA is respectively connected with the camera unit and the rotary table, and the camera unit is connected with the rotary table.
3. An online face searching and positioning method based on IPv6 cloud interconnection is characterized by comprising the following steps: the method comprises the following steps:
the method comprises the following steps: a user terminal logs in an account and establishes connection with a cloud server through a communication link, and the user terminal uploads a picture of a person to be searched to the cloud server;
step two: the cloud server is connected with the camera module through a communication link, and the cloud server transmits the picture of the person to be searched to a face recognition unit of the camera module based on the FPGA;
step three: the camera module starts to work, acquires a picture of a person to be searched, which is transmitted by the cloud server, through the communication interface unit, captures the picture of the person entering the effective camera range of the camera at the moment, and then compares the captured picture of the person with the picture of the person to be searched through the face recognition unit based on the FPGA;
step four: after the face recognition unit based on the FPGA successfully recognizes the face, the rotary table is controlled to mechanically operate to follow the successfully recognized face, and meanwhile, the communication interface unit is controlled to return an IPv6 address and an image video stream to the cloud server;
step five: the server matches the received IPv6 address with a preset IP address coding table to find out the installation position of the camera, and transmits the face image or video stream, the IPv6 address and the geographic position to the user terminal equipment through a communication link after the matching is successful;
step six: and the user terminal equipment receives the face image or video stream, the IPv6 address and the geographical position which are successfully matched and transmitted by the cloud server, and locally displays the face image or video stream, the IPv6 address and the geographical position to the user.
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