CN207817735U - Recognition of face automatically analyzes alarm system - Google Patents
Recognition of face automatically analyzes alarm system Download PDFInfo
- Publication number
- CN207817735U CN207817735U CN201721877941.9U CN201721877941U CN207817735U CN 207817735 U CN207817735 U CN 207817735U CN 201721877941 U CN201721877941 U CN 201721877941U CN 207817735 U CN207817735 U CN 207817735U
- Authority
- CN
- China
- Prior art keywords
- module
- camera
- screening machine
- recognition
- alarm
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Alarm Systems (AREA)
Abstract
The utility model discloses a kind of recognitions of face to automatically analyze alarm system, including image collecting device, processing unit and alarm unit, described image harvester includes screening machine ontology, Image Acquisition case is slidably connected in the one side wall of screening machine ontology, the one side wall of Image Acquisition case is equipped with groove, groove is arcuate structure, the first camera is fixed at the center of groove, the both sides of first camera are set there are two symmetrically arranged second camera, the shooting end of two second cameras and first camera is arranged towards screening machine ontology, the output end of two the first cameras and a second camera is connected with the same desktop computer, the processing unit includes record processing unit, comparative analysis unit and message output module, it includes taking module to record processing unit, image processing module and image synthesis unit.The utility model can reduce the difficulty that the police arrest suspect to carrying out face recognition by the fugitive suspect of screening machine.
Description
Technical field
The utility model is related to screening machine technical fields more particularly to a kind of recognition of face to automatically analyze alarm system.
Background technology
Now, AT STATION, airport, the stream of peoples such as harbour and the larger place and some other needs of logistics capacity take peace
The place of full measure, often carries out safety inspection, so screening machine is a kind of very important rays safety detection apparatus.Current safety check
Machine generally uses X rays to carry out safety inspection to article, for identification the prohibited items in luggage, package or container.Mesh
There are two types of preceding screening machine is general：One is realize the scanning to inspected object, such as vehicular peace by Mobile safety inspection machine
Inspection machine；Another kind is to be detected article movement, by the detection zone of screening machine, achievees the purpose that detection scanning.
Traditional screening machine can be only detected to whether carrying dangerous material with the package of passenger and passenger, cannot
Enough that passenger's identity is identified, suspect, which is easy to ride public transportation means, flees from scene of a crime location, this is to the police
It solves a case and difficulty is increased to arresting for suspect.
Invention content
Purpose of the utility model is to solve disadvantages existing in the prior art, and a kind of recognition of face proposed is certainly
Dynamic analysis alarm system.
To achieve the goals above, the utility model uses following technical solution：
Recognition of face automatically analyzes alarm system, including image collecting device, processing unit and alarm unit, described image
Harvester includes screening machine ontology, and Image Acquisition case is slidably connected in the one side wall of screening machine ontology, Image Acquisition case
One side wall is equipped with groove, and groove is arcuate structure, and the first camera, the both sides of the first camera are fixed at the center of groove
If there are two symmetrically arranged second camera, the shooting end of two second cameras and first camera is towards safety check
Machine ontology is arranged, and the output end of two the first cameras and a second camera is connected with the same desktop computer, the place
It includes record processing unit, comparative analysis unit and message output module to manage unit, and record processing unit includes taking module, figure
As processing module and image synthesis unit, the analytic unit includes information storage module, feature recognition module and Characteristic Contrast
Module, the alarm unit include local alarm module and strange land alarm module.
Preferably, first camera is used to shoot the front of passenger on screening machine ontology and shines, two second cameras
Between angle be 60 to 150 degree, two second cameras are used to shoot two sides of passenger on screening machine ontology
According to.
Preferably, it is fixed with driving device on the side wall of the screening machine ontology, driving device provides for Image Acquisition case
Power.
Preferably, described image synthesis module is used to the photo that two second cameras are shot synthesizing 3-D view.
Preferably, the feature recognition module is used to extract the characteristic information of image synthesis unit composograph, feature letter
Breath include interpupillary distance, nose width, face width, nose length, cheekbone height and nose between relative position and face on tire
Note and scar.
Preferably, the remote port of the record processing unit is connected with cloud platform, and cloud platform is used to carry out with desktop computer
Information exchange, cloud platform provide the specifying information of crime one's share of expenses for a joint undertaking, and specifying information includes height, weight, front photograph and picture, side photograph
The birthmark and scar of picture and body part.
Preferably, the local alarm module includes the buzzer siren and the first alarm lamp positioned at desktop computer side,
Strange land alarm module includes the second alarm lamp being located in control room or in local police station.
The beneficial effects of the utility model are：
1, the difficulty that the police arrest suspect can be reduced to being identified by the fugitive suspect of screening machine
Degree；
2, processing is identified in the face for capableing of passenger, and carries out facial characteristics matching with the crime one's share of expenses for a joint undertaking in cloud platform,
The precision for improving device face recognition reduces the possibility that security staff's mistake is arrested.
Description of the drawings
Fig. 1 be the utility model proposes recognition of face automatically analyze the position of screening machine ontology and vasculum in alarm system
Set relation schematic diagram；
Fig. 2 be the utility model proposes recognition of face automatically analyze the functional block diagram of processing unit in alarm system；
Fig. 3 be the utility model proposes recognition of face automatically analyze the functional block diagram of alarm unit in alarm system；
Fig. 4 be the utility model proposes recognition of face automatically analyze the flow chart of alarm system.
In figure：1 image collecting device, 11 screening machine ontologies, 111 driving devices, 12 vasculums, 121 first cameras,
122 second cameras, 13 desktop computers, 2 processing units, 21 record processing units, 211 taking modules, 212 image procossing moulds
Block, 213 image synthesis units, 22 comparative analysis units, 221 information storage modules, 222 feature recognition modules, 223 Characteristic Contrasts
Module, 23 message output modules, 3 alarm units, 31 local alarm modules, 311 first alarm lamps, 32 strange land alarm modules, 321
Second alarm lamp, 4 cloud platforms.
Specific implementation mode
The following will be combined with the drawings in the embodiments of the present invention, carries out the technical scheme in the embodiment of the utility model
Clearly and completely describe, it is clear that the described embodiments are only a part of the embodiments of the utility model, rather than whole
Embodiment.
Referring to Fig.1-4, recognition of face automatically analyzes alarm system, including image collecting device 1, processing unit 2 and alarm
Unit 3, image collecting device 1 include screening machine ontology 11, and Image Acquisition is slidably connected in the one side wall of screening machine ontology 11
The one side wall of case 12, Image Acquisition case 12 is equipped with groove, and groove is arcuate structure, and the first camera shooting is fixed at the center of groove
First 121, the both sides of the first camera 121 set that there are two symmetrically arranged second camera 122, two 122 Hes of second camera
The shooting end of one the first camera 121 is arranged towards screening machine ontology 11, and two the first cameras 121 and one second take the photograph
As first 122 output end is connected with the same desktop computer 13, processing unit 2 includes record processing unit 21, comparative analysis list
Member 22 and message output module 23, record processing unit 21 include taking module 211, image processing module 212 and image synthesis
Module 213, analytic unit 22 include information storage module 221, feature recognition module 222 and Characteristic Contrast module 223, and alarm is single
Member 3 includes local alarm module 31 and strange land alarm module 32, and the first camera 121 is for shooting passenger on screening machine ontology 11
Front shine, angle is 60 to 150 degree between two second cameras 122, and two second cameras 122 are used to clap
Two sides for taking the photograph passenger on screening machine ontology 11 are shone, and driving device 111, driving dress are fixed on the side wall of screening machine ontology 11
It sets 111 and provides power, the photo that image synthesis unit 213 is used to shoot two second cameras 122 for Image Acquisition case 12
3-D view is synthesized, feature recognition module 222 is used to extract the characteristic information of 213 composograph of image synthesis unit, feature
Information includes on relative position and face between interpupillary distance, nose width, face width, nose length, cheekbone height and nose
The remote port of birthmark and scar, record processing unit 21 is connected with cloud platform 4, and cloud platform 4 is used to carry out letter with desktop computer 13
Breath exchanges, and cloud platform 4 provides the specifying information of crime one's share of expenses for a joint undertaking, and specifying information includes height, weight, front photograph and picture, side photograph
The birthmark and scar of picture and body part, local alarm module 31 include positioned at 13 side of desktop computer buzzer siren and
First alarm lamp 311, strange land alarm module 32 include the second alarm lamp 321 being located in control room or in local police station.
Specific implementation step：
S1, tourist station are on screening machine ontology 11, while staff detects tourist using hand-held detection device,
Driving device 111 makes vasculum 12 as tourist's face front, and taking module 211 shoots a front and shines（By the first camera shooting
First 121 shooting）It is shone with two sides（Two second cameras 122 are shot respectively）；
S2, side photograph is synthesized by three-dimensional photograph by image synthesis unit 213, the use of software is Headus 3D Tools
Software, 3D Surfer softwares or 720 3d automatic imaging system softwares, information storage module 221 is for storing information, at image
Reason module 212 is used to extract the three-dimensional characteristic module shone after the characteristic module that front is shone and synthesis；
S3, desktop computer 13 and cloud platform 4 carry out data exchange, feature recognition module 222 extracts front photograph, side is shone and
The characteristic information in three-dimensional photograph in S2（Interpupillary distance, nose width, face width, nose length, cheekbone height and the phase between nose
To birthmark and scar on position and face）, Characteristic Contrast module 223 is for carrying the characteristic information after extraction with cloud platform 4
The information of confession is compared；
S4, when the characteristic information to match is not found in S3, tourist is by screening machine ontology 11, when finding phase in S3
Following step is carried out when the characteristic information matched；
S5, alarm unit 3 realize that local alarm module 31 is alarmed（Screening machine is received the report for police service by the police for kicking 11 sides and carries
Show）, the buzzer siren of 13 side of desktop computer and the alarm of the first alarm lamp 3111 are for prompting related security staff；
Strange land alarm module simultaneously（32）The second alarm module（312）Alarm prompts related in local police station or control room
Personnel have found the guilty suspect of hair；
S6, security staff detain passenger's package, and police temporarily detain passenger, after the police confirm after suspect
Suspect is arrested.
The preferable specific implementation mode of the above, only the utility model, but the scope of protection of the utility model is not
Be confined to this, any one skilled in the art within the technical scope disclosed by the utility model, according to this practicality
Novel technical solution and its utility model design are subject to equivalent substitution or change, should all cover the protection model in the utility model
Within enclosing.
Claims (7)
1. recognition of face automatically analyzes alarm system, including image collecting device（1）, processing unit（2）And alarm unit（3）,
It is characterized in that, described image harvester（1）Including screening machine ontology（11）, screening machine ontology（11）One side wall on slide
It is connected with Image Acquisition case（12）, Image Acquisition case（12）One side wall be equipped with groove, groove is arcuate structure, in groove
The first camera is fixed at the heart（121）, the first camera（121）Both sides set there are two symmetrically arranged second camera
（122）, two second cameras（122）With first camera（121）Shooting end towards screening machine ontology（11）If
It sets, two the first cameras（121）With a second camera（122）Output end be connected with the same desktop computer（13）,
The processing unit（2）Including recording processing unit（21）, comparative analysis unit（22）And message output module（23）, at record
Manage unit（21）Including taking module（211）, image processing module（212）And image synthesis unit（213）, the analytic unit
（22）Including information storage module（221）, feature recognition module（222）And Characteristic Contrast module（223）, the alarm unit
（3）Including local alarm module（31）With strange land alarm module（32）.
2. recognition of face according to claim 1 automatically analyzes alarm system, which is characterized in that first camera
（121）For shooting screening machine ontology（11）The front of upper passenger is shone, two second cameras（122）Between angle be 60 to
150 degree, two second cameras（122）For shooting screening machine ontology（11）Two sides of upper passenger are shone.
3. recognition of face according to claim 2 automatically analyzes alarm system, which is characterized in that the screening machine ontology
（11）Side wall on be fixed with driving device（111）, driving device（111）For Image Acquisition case（12）Power is provided.
4. recognition of face according to claim 1 automatically analyzes alarm system, which is characterized in that described image synthesis module
（213）For by two second cameras（122）The photo of shooting synthesizes 3-D view.
5. recognition of face according to claim 1 automatically analyzes alarm system, which is characterized in that the feature recognition module
（222）For extracting image synthesis unit（213）The characteristic information of composograph, characteristic information include interpupillary distance, nose width, mouth
Birthmark and scar in the high relative position and face between nose of Ba Kuandu, nose length, cheekbone.
6. recognition of face according to claim 1 automatically analyzes alarm system, which is characterized in that the record processing unit
（21）Remote port be connected with cloud platform（4）, cloud platform（4）For with desktop computer（13）Carry out information exchange, cloud platform（4）
The specifying information of crime one's share of expenses for a joint undertaking is provided, specifying information includes height, weight, front photograph and picture, side photograph and picture and body part
Birthmark and scar.
7. recognition of face according to claim 1 automatically analyzes alarm system, which is characterized in that the local alarm module
（31）Including being located at desktop computer（13）The buzzer siren of side and the first alarm lamp（311）, strange land alarm module（32）Packet
Include the second alarm lamp in control room or in local police station（321）.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721877941.9U CN207817735U (en) | 2017-12-28 | 2017-12-28 | Recognition of face automatically analyzes alarm system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721877941.9U CN207817735U (en) | 2017-12-28 | 2017-12-28 | Recognition of face automatically analyzes alarm system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN207817735U true CN207817735U (en) | 2018-09-04 |
Family
ID=63327660
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201721877941.9U Active CN207817735U (en) | 2017-12-28 | 2017-12-28 | Recognition of face automatically analyzes alarm system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN207817735U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109614949A (en) * | 2018-12-23 | 2019-04-12 | 广东腾晟信息科技有限公司 | The method of judgement identification human body from image |
| CN111083442A (en) * | 2019-12-24 | 2020-04-28 | 乐乎科技(深圳)有限公司 | Intelligent supervision system for directionally troubleshooting safety hidden danger based on safety cloud data and working method thereof |
-
2017
- 2017-12-28 CN CN201721877941.9U patent/CN207817735U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109614949A (en) * | 2018-12-23 | 2019-04-12 | 广东腾晟信息科技有限公司 | The method of judgement identification human body from image |
| CN111083442A (en) * | 2019-12-24 | 2020-04-28 | 乐乎科技(深圳)有限公司 | Intelligent supervision system for directionally troubleshooting safety hidden danger based on safety cloud data and working method thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107832754A (en) | Recognition of face automatically analyzes warning system | |
| EP3839809A1 (en) | Image processing system and method | |
| CN105893510A (en) | Video structurization system and target search method thereof | |
| CN104965235A (en) | Security check system and method | |
| CN109858371A (en) | The method and device of recognition of face | |
| Kawai et al. | Person re-identification using view-dependent score-level fusion of gait and color features | |
| CN106951876A (en) | A kind of three-dimensional portrait synthesis recognition system | |
| CN111639616A (en) | Heavy identity recognition method based on deep learning | |
| CN207817735U (en) | Recognition of face automatically analyzes alarm system | |
| CN108064394A (en) | Method and device for detecting security check article and electronic equipment | |
| CN109271923A (en) | Human face posture detection method, system, electric terminal and storage medium | |
| Volkhardt et al. | Fallen person detection for mobile robots using 3D depth data | |
| CN107811375A (en) | From following luggage case and its follower method | |
| CN113378649A (en) | Identity, position and action recognition method, system, electronic equipment and storage medium | |
| CN106599873A (en) | Figure identity identification method based on three-dimensional attitude information | |
| CN106897678A (en) | A kind of remote human face recognition methods of combination heartbeat signal, device and system | |
| Jafari et al. | Real-time RGB-D based template matching pedestrian detection | |
| KR20110018850A (en) | System, method and program product for camera-based object analysis | |
| Dasari et al. | Mpeg cdvs feature trajectories for action recognition in videos | |
| KR102167052B1 (en) | Information management system for free passenger and information management method therefor | |
| Li et al. | A hybrid pose tracking approach for handheld augmented reality | |
| Nowicki | Wifi-guided visual loop closure for indoor navigation using mobile devices | |
| CN110287957A (en) | A kind of localization method and positioning device of low slow Small object | |
| CN202472689U (en) | Face posture detection system | |
| CN104794487A (en) | Identification method for pictures and based on skull image superimposition principle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |