CN219476130U - Multi-network fusion face recognition early warning device - Google Patents
Multi-network fusion face recognition early warning device Download PDFInfo
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- CN219476130U CN219476130U CN202222556407.5U CN202222556407U CN219476130U CN 219476130 U CN219476130 U CN 219476130U CN 202222556407 U CN202222556407 U CN 202222556407U CN 219476130 U CN219476130 U CN 219476130U
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- face recognition
- early warning
- fixedly connected
- guardrail
- warning device
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
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Abstract
The utility model discloses a multi-network fusion face recognition early warning device which comprises a guardrail, wherein an installation frame is fixedly connected to the outer side wall of one end of the guardrail, an audible and visual alarm is fixedly connected to one end of the outer top of the installation frame, a linear motor is arranged on one side of the installation frame, a lifting frame is arranged at the driving end of the linear motor, a face recognition probe is arranged at the center of the lifting frame, and a control module and a signal receiving and transmitting module are embedded in one side, close to the linear motor, of the installation frame. According to the utility model, the face recognition probe, the signal receiving and transmitting module, the railing and the lifting frame are matched, the face recognition data is compared with the local intranet data through the signal receiving and transmitting module, and the face recognition data is uploaded to the network large database for screening, so that the face recognition probe is convenient to screen out epidemic situation close-connected personnel evading and publishing in real time through multi-network matching, early warning information is issued in time, and the safety of public transportation is effectively improved.
Description
Technical Field
The utility model relates to the technical field of public transportation safety protection equipment, in particular to a multi-network fusion face recognition early warning device.
Background
Public transportation, also known as mass transportation, generally refers to all transportation modes which are open to the masses and provide transportation services, and is usually paid for as a commercial service, but there are few free exceptional conditions, and the public transportation at present includes subways, high-speed rails, buses, ships, airplanes and the like.
In recent years, under the state management, social security is better and better, but partial evasions flow outside, partial evasions transact false identities to take public transportation trip, so that security check is difficult to distinguish the public transportation trip, and the public transportation trip safety is greatly hidden danger to passengers.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the utility model and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the utility model, which should not be used to limit the scope of the utility model.
The utility model aims to provide a multi-network fusion face recognition early warning device, which utilizes multi-network fusion to recognize the evasion face, is convenient for screening the evasion and providing early warning for public security authorities, can compare the face of the security checked passenger with network big data in real time, screens close-connected personnel published in regions, conveniently and timely screens the close-connected personnel and gives early warning to medical authorities.
In order to solve the technical problems, according to one aspect of the present utility model, the following technical solutions are provided:
the utility model provides a many nets merge face identification early warning device, includes the guardrail, guardrail one end lateral wall fixedly connected with mounting bracket, the outer top one end fixedly connected with audible-visual annunciator of mounting bracket, mounting bracket one side is provided with linear electric motor, the linear electric motor drive end is provided with the crane, crane center department is provided with face identification probe, the mounting bracket is close to linear electric motor's one side embedding and is provided with control module and signal transceiver module;
the guardrail is kept away from one end lateral wall fixedly connected with equipment frame of mounting bracket, one side fixedly connected with servo motor that equipment frame outer wall is close to the mounting bracket, servo motor drive shaft runs through equipment frame and fixedly connected with railing, the locking groove has been seted up at the guardrail top, locking tank bottom portion is provided with the electromagnetic lock.
As a preferable scheme of the multi-network fusion face recognition early warning device, the bottom of the guardrail is fixedly connected with the anti-skid plastic pad, so that an anti-skid function is achieved, and passengers can be protected in an anti-skid mode conveniently.
As a preferable scheme of the multi-network fusion face recognition early warning device, the face recognition probe is provided with the display screen at the top, and the display screen is electrically connected with the face recognition probe, so that passengers can conveniently see the face information to automatically adjust the position, and the probe can conveniently recognize the face.
As a preferable scheme of the multi-network fusion face recognition early warning device, the bottom of one end of the railing far away from the servo motor is horizontally arranged, the bottom of the railing is fixedly connected with the iron block, the iron block and the electromagnetic lock are attracted through magnetic force, so that the railing is conveniently locked, and the railing is kept in a locking state before a screening result does not come out.
As a preferable scheme of the multi-network fusion face recognition early warning device, the electromagnetic lock and the servo motor are electrically connected with the control module, when passengers are analyzed by big data and have no potential safety hazards, the control module is convenient to control the electromagnetic lock to unlock, and the servo motor drives the railing to rotate, so that the passengers are released.
As a preferable scheme of the multi-network fusion face recognition early warning device, the gravity sensing module is embedded in the bottom of the guardrail and is electrically connected with the control module, so that the linear motor can conveniently drive the lifting frame to reset after passengers leave.
Compared with the prior art, the utility model has the following beneficial effects:
according to the utility model, the face recognition probe, the signal receiving and transmitting module, the railing and the lifting frame are matched, the face recognition data is compared with the local intranet data through the signal receiving and transmitting module, and the face recognition data is uploaded to the network large database for screening, so that the face recognition probe is convenient to screen out epidemic situation close-connected personnel evading and publishing in real time through multi-network matching, early warning information is issued in time, and the safety of public transportation is effectively improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present utility model, the following detailed description will be given with reference to the accompanying drawings and detailed embodiments, it being obvious that the drawings in the following description are only some embodiments of the present utility model, and that other drawings may be obtained from these drawings without inventive faculty for a person skilled in the art. Wherein:
fig. 1 is a schematic structural diagram of a multi-network fusion face recognition early warning device of the utility model;
fig. 2 is a schematic diagram of a lifting frame structure of a multi-network fusion face recognition early warning device of the utility model;
fig. 3 is a schematic diagram of an electromagnetic lock structure of a multi-network fusion face recognition early warning device according to the present utility model;
fig. 4 is a schematic diagram of signal control of a multi-network fusion face recognition early warning device according to the present utility model.
Legend description: 1. guard bars; 2. a mounting frame; 3. an anti-slip plastic pad; 4. an audible and visual alarm; 5. a linear motor; 6. a lifting frame; 7. a face recognition probe; 8. a display screen; 9. a control module; 10. a signal receiving and transmitting module; 11. an equipment rack; 12. a servo motor; 13. railing; 14. a locking groove; 15. an electromagnetic lock; 16. and the gravity sensing module.
Detailed Description
In order that the above objects, features and advantages of the utility model will be readily understood, a more particular description of the utility model will be rendered by reference to the appended drawings.
Next, the present utility model will be described in detail with reference to the drawings, wherein the sectional view of the device structure is not partially enlarged to general scale for the convenience of description, and the drawings are only examples, which should not limit the scope of the present utility model. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
For the purpose of making the objects, technical solutions and advantages of the present utility model more apparent, embodiments of the present utility model will be described in further detail below with reference to the accompanying drawings.
Referring to fig. 1-4, the utility model provides a multi-network fusion face recognition early warning device, which comprises a guardrail 1, wherein the outer side wall of one end of the guardrail 1 is fixedly connected with a mounting frame 2, one end of the outer top of the mounting frame 2 is fixedly connected with an audible and visual alarm 4, one side of the mounting frame 2 is provided with a linear motor 5, the driving end of the linear motor 5 is provided with a lifting frame 6, the center of the lifting frame 6 is provided with a face recognition probe 7, and one side, close to the linear motor 5, of the mounting frame 2 is embedded with a control module 9 and a signal receiving and transmitting module 10;
one end lateral wall fixedly connected with equipment rack 11 that mounting bracket 2 was kept away from to guardrail 1, one side fixedly connected with servo motor 12 that equipment rack 11 outer wall is close to mounting bracket 2, servo motor 12 drive shaft runs through equipment rack 11 and fixedly connected with railing 13, and locking groove 14 has been seted up at guardrail 1 top, and locking groove 14 bottom is provided with electromagnetic lock 15.
Referring to fig. 1 again, in order to perform anti-skid protection on passengers, specifically, an anti-skid plastic pad 3 is fixedly connected to the bottom of the guardrail 1, so as to perform an anti-skid function.
Referring to fig. 2 again, in order to facilitate the probe to identify the face of the passenger, specifically, the top of the face identification probe 7 is provided with a display screen 8, and the display screen 8 is electrically connected with the face identification probe 7, so that the passenger can conveniently see the face information and adjust the position by himself.
Please refer to fig. 3 again, in order to facilitate keeping a locked state before the screening result does not come out, specifically, one end bottom of the rail 13 far away from the servo motor 12 is horizontally arranged and the bottom is fixedly connected with an iron block, and the iron block and the electromagnetic lock 15 are attracted through magnetic force, so that the rail 13 is conveniently locked.
Referring to fig. 1 again, in order to facilitate the release of passengers, specifically, the electromagnetic lock 15 and the servo motor 12 are electrically connected with the control module 9, when the passengers have no potential safety hazard through big data analysis, the control module 9 is convenient to control the electromagnetic lock 15 to unlock, and the servo motor 12 drives the railing 13 to rotate.
Referring to fig. 1 again, in order to facilitate the linear motor 5 to drive the lifting frame 6 to reset after the passengers leave, specifically, the bottom of the guardrail 1 is embedded with a gravity sensing module 16, and the gravity sensing module 16 is electrically connected with the control module 9.
When the intelligent face recognition system is specifically used, the audible and visual alarm 4, the linear motor 5, the face recognition probe 7, the display screen 8, the servo motor 12, the electromagnetic lock 15 and the gravity sensing module 16 are firstly connected with an external power supply.
After the passengers enter the guardrail 1, the passengers step on the top of the gravity sensing module 16, at the moment, the face recognition probe 7 starts to recognize the faces of the passengers and displays the faces in the display screen 8, so that the passengers can conveniently adjust the face positions, the recognition probes can better perform face recognition, then the faces are compared in a local intranet database, whether the passengers are evasive or not is judged through analysis of the analysis module, if the passengers are evasive, the audible and visual alarm 4 sends early warning, and meanwhile, the signal receiving and sending module 10 sends early warning signals to a public security organ, so that timely alert output is matched with a site security department to control the evasive.
If the passenger is ordinary, the control module 9 starts the linear motor 5 to drive the lifting frame 6 to lift up, so that the passenger can pass through conveniently, and at the moment, the gravity sensing module 16 senses that the passenger leaves from the top of the passenger, and then the linear motor 5 resets to drive the lifting frame 6 to descend, so that the follow-up passenger can be conveniently checked.
At this time, the passengers passing through the probes continue to walk at the top of the guardrail 1 until the guardrail 13 is located, the face of each passenger is uploaded to a network big data platform by the signal receiving and transmitting module 10 during the period for comparison, whether the passengers are epidemic situation closely-connected persons notified by each city and county in the near term is judged, if the passengers are closely-connected persons, the audible and visual alarm 4 sends out early warning, and meanwhile, the signal receiving and transmitting module 10 sends early warning signals to a medical institution, so that the medical personnel can conveniently send out medical personnel in time to carry out disinfection, isolation and investigation on the passengers together with on-site security.
If no hidden trouble exists in the process of local database comparison and network big data screening, the servo motor 12 drives the railing 13 to lift, and the electromagnetic lock 15 is simultaneously opened to release passengers.
Although the utility model has been described hereinabove with reference to embodiments, various modifications thereof may be made and equivalents may be substituted for elements thereof without departing from the scope of the utility model. In particular, the features of the disclosed embodiments may be combined with each other in any manner as long as there is no structural conflict, and the exhaustive description of these combinations is not given in this specification merely for the sake of omitting the descriptions and saving resources. Therefore, it is intended that the utility model not be limited to the particular embodiment disclosed, but that the utility model will include all embodiments falling within the scope of the appended claims.
Claims (6)
1. The utility model provides a many nets merge face identification early warning device, includes guardrail (1), its characterized in that, guardrail (1) one end lateral wall fixedly connected with mounting bracket (2), the outer top one end fixedly connected with audible-visual annunciator (4) of mounting bracket (2), mounting bracket (2) one side is provided with linear electric motor (5), linear electric motor (5) drive end is provided with crane (6), crane (6) center department is provided with face identification probe (7), mounting bracket (2) are close to one side embedding of linear electric motor (5) and are provided with control module (9) and signal transceiver module (10);
one end lateral wall fixedly connected with equipment frame (11) of mounting bracket (2) is kept away from to guardrail (1), one side fixedly connected with servo motor (12) that equipment frame (11) outer wall is close to mounting bracket (2), servo motor (12) drive shaft runs through equipment frame (11) and fixedly connected with railing (13), locking groove (14) have been seted up at guardrail (1) top, locking groove (14) bottom is provided with electromagnetic lock (15).
2. The multi-network fusion face recognition early warning device according to claim 1 is characterized in that an anti-slip plastic mat (3) is fixedly connected to the bottom of the guardrail (1).
3. The multi-network fusion face recognition early warning device according to claim 1, wherein a display screen (8) is arranged at the top of the face recognition probe (7), and the display screen (8) is electrically connected with the face recognition probe (7).
4. The multi-network fusion face recognition early warning device according to claim 1, wherein one end bottom of the railing (13) far away from the servo motor (12) is horizontally arranged and fixedly connected with an iron block at the bottom, and the iron block and the electromagnetic lock (15) are attracted through magnetic force.
5. The multi-network fusion face recognition early warning device according to claim 1, wherein the electromagnetic lock (15) and the servo motor (12) are electrically connected with the control module (9).
6. The multi-network fusion face recognition early warning device according to claim 1, wherein a gravity sensing module (16) is embedded in the bottom of the guardrail (1), and the gravity sensing module (16) is electrically connected with the control module (9).
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CN202222556407.5U CN219476130U (en) | 2022-09-27 | 2022-09-27 | Multi-network fusion face recognition early warning device |
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CN202222556407.5U CN219476130U (en) | 2022-09-27 | 2022-09-27 | Multi-network fusion face recognition early warning device |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN117218740A (en) * | 2023-09-07 | 2023-12-12 | 武汉纳思系统技术有限公司 | Attendance management system and method for intelligent building site |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN117218740A (en) * | 2023-09-07 | 2023-12-12 | 武汉纳思系统技术有限公司 | Attendance management system and method for intelligent building site |
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