CN210955125U - Face recognition intelligent cloud elevator control system - Google Patents
Face recognition intelligent cloud elevator control system Download PDFInfo
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- CN210955125U CN210955125U CN201922375432.1U CN201922375432U CN210955125U CN 210955125 U CN210955125 U CN 210955125U CN 201922375432 U CN201922375432 U CN 201922375432U CN 210955125 U CN210955125 U CN 210955125U
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Abstract
The utility model discloses a face recognition intelligent cloud elevator control system, which relates to the technical field of elevator control, and comprises a face recognition system, a master controller, an elevator controller, a cloud storage platform and a communication module, wherein the face recognition system comprises a camera, a processor, a light sensor, a light filling lamp and a living body recognition module, the cloud storage platform comprises a first server, a second server and an image comparison module, the camera collects face images and carries out living body recognition through the living body recognition module, after being judged as a living body, the face information is transmitted to the cloud storage platform through the communication module, the cloud storage platform receives the face information and then compares the face information with the face information of a resident or a visitor stored in the cloud storage platform, after the face information is successfully compared, an elevator control instruction is generated and is sequentially transmitted to the master controller and the elevator controller, thereby realizing the intelligent control of elevator operation, the inconvenience that residents and visitors can take the elevator only by using the elevator card is solved.
Description
Technical Field
The utility model relates to an elevator control technology field, concretely relates to face identification intelligence cloud elevator control system.
Background
With the development of modern society, elevators are more and more important in people's daily life, and especially people who live in high-rise buildings are more indispensable. In order to ensure the safety of residents, corresponding to the existing elevator, the destination floor can be reached only by touching and pressing a floor button after swiping an elevator card every time the elevator is taken. Therefore, for work or life in a building, the floor buttons need to be touched repeatedly every day, which is very troublesome, and in addition, if a resident forgets to carry the elevator card, the resident cannot take the elevator, which also brings inconvenience to the life of the resident.
SUMMERY OF THE UTILITY MODEL
For solving prior art problem, the utility model discloses a camera is gathered face image and is carried out the live body discernment through live body identification module, after being judged as the live body, transmit face information to cloud storage platform through communication module, cloud storage platform receives face information after and compares with the face information of resident family face information of storage or visitor in the cloud storage platform, compare successful back and generate elevator control command and give total controller and elevator controller in proper order, thereby elevator controller control elevator operation, realize the intelligent control to elevator operation, also avoided the resident family because of forgetting to carry the elevator card and lead to can't taking the elevator, also solve the visitor and need to brush the problem that the elevator card just can take the elevator.
The utility model discloses specifically adopt following technical scheme:
a face recognition intelligent cloud elevator control system comprises a face recognition system, a master controller, an elevator controller, a cloud storage platform and a communication module,
the human face recognition system comprises a camera for collecting a human face image, a processor, a light sensor, a light supplement lamp for irradiating the human face and a living body recognition module for performing living body recognition according to the skin characteristics of the human face image, wherein the camera, the processor and the living body recognition module are sequentially and electrically connected, and the light sensor is electrically connected with the light supplement lamp through a PLC (programmable logic controller);
the living body identification module and the master controller are electrically connected with the communication module, and the master controller is electrically connected with the elevator controller through the communication module;
the cloud storage platform comprises a first server serving as a metadata node, a plurality of second servers serving as data nodes and an image comparison module, wherein the image comparison module is electrically connected with the first server, the communication module and the master controller, and the plurality of second servers are electrically connected with the first server.
Further, the skin features of the face image comprise skin features of at least two parts of the forehead, the eyebrows, the eyes, the two cheeks, the nose, the lips, the chin and the ears.
The communication module comprises an NB-IoT module, an eSIM card module and a radio frequency antenna, wherein the eSIM card module and the radio frequency antenna are electrically connected with the NB-IoT module.
The further scheme is that the tail end of the living body identification module is electrically connected with an alarm which is an audible and visual alarm.
The solar energy controller is used for controlling the light supplement lamp to be in electric connection with the storage battery.
The utility model has the advantages that:
the method comprises the steps that a face image is collected through a camera and is subjected to living body identification through a living body identification module, after the face image is judged to be a living body, face information is transmitted to a cloud storage platform through a communication module, the cloud storage platform receives the face information and then compares the face information with resident face information or visitor face information stored in the cloud storage platform, an elevator control instruction is generated after the comparison is successful and is sequentially transmitted to a master controller and an elevator controller, the elevator controller controls the elevator to run, the intelligent control on the elevator running is realized, the situation that the resident cannot take the elevator due to forgetting to carry the elevator card is avoided, and the problem that the visitor can take the elevator only by brushing the elevator card is solved;
the living body detection module is arranged, so that the problem that illegal persons use photo faces to identify and avoid real face identification can be effectively solved, and the safety of residents is influenced after the identification is successful;
the light sensor and the light supplement lamp are arranged, the light brightness of the area around the camera is sensed through the light sensor, and when the brightness does not meet the requirement, the light supplement lamp is turned on, so that the camera can be ensured to collect face images when natural light is insufficient;
the communication module comprising the NB-IoT module, the eSIM card module and the radio frequency antenna has the advantages of high transmission speed, long transmission distance and low power consumption.
Drawings
Fig. 1 is a schematic diagram of a structural principle of a face recognition intelligent cloud elevator control system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a communication module according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a power supply of the light supplement lamp in the present embodiment.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
As shown in fig. 1-3, an embodiment of the utility model discloses a face recognition intelligent cloud elevator control system, which comprises a face recognition system, a master controller, an elevator controller, a cloud storage platform and a communication module;
the human face recognition system comprises a camera for collecting a human face image, a processor, a light sensor, a light supplement lamp for irradiating the human face and a living body recognition module for performing living body recognition according to the skin characteristics of the human face image, the camera, the processor and the living body recognition module are electrically connected in sequence, and the light sensor is electrically connected with the light supplement lamp through a PLC (programmable logic controller); the living body identification module and the master controller are electrically connected with the communication module, and the master controller is electrically connected with the elevator controller through the communication module; the cloud storage platform comprises a first server serving as a metadata node, a plurality of second servers serving as data nodes and an image comparison module, wherein the image comparison module is electrically connected with the first server, the communication module and the master controller, and the plurality of second servers are electrically connected with the first server.
The camera is used for collecting face image information and transmitting the face image information to the processor, the processor extracts face skin characteristic data from the face image information and then sends the face skin characteristic data to the living body recognition module for living body recognition, and the face skin characteristics comprise skin texture characteristics and skin pore characteristics. The skin texture characteristics comprise the main characteristics of the skin texture such as depth, node number, texture thickness and the like, and the skin pore characteristics comprise the number of pores, the size of pores and the like. Because the facial skin characteristics of different parts of the real human face are different, the real human face is not obtained by shooting images, and the texture, pores and the like of the real skin do not exist. Real skin and non-real skin are distinguished through facial skin characteristics of different parts, so that living body identification is carried out, after living body identification is successful, face image information is transmitted to a cloud storage holder through a communication module, a first server of the cloud storage holder receives the face image information and is transmitted to an image comparison module together with stored resident face image information or visitor face image information in a second server for comparison, after comparison is successful, a signal generated by the image comparison module is transmitted to a master controller through the communication module, the master controller sends an instruction to an elevator controller, the elevator controller controls operation of an elevator, and therefore intelligent control over operation of the elevator is achieved.
In the present embodiment, the skin features of the face image include skin features of at least two of the forehead, the eyebrows, the eyes, the cheeks, the nose, the lips, the chin, and the ears. The skin characteristics of different parts are acquired as much as possible, and the accuracy of living body identification is improved.
In this embodiment, the communication module includes an NB-IoT module, an eSIM card module, and a radio frequency antenna, and both the eSIM card module and the radio frequency antenna are electrically connected to the NB-IoT module. The communication module comprising the NB-IoT module, the eSIM card module and the radio frequency antenna is arranged, so that the NB-IoT module and other equipment or modules perform information interaction, the intensity of transmission information is ensured by the radio frequency antenna, and the eSIM card module provides a basis for the information interaction of the NB-IoT module.
In this embodiment, the tail end of the living body identification module is electrically connected with an alarm, and the alarm is an audible and visual alarm. When the living body identification fails, an audible and visual alarm is used for alarming to remind related personnel to pay attention to the identified personnel.
In this embodiment, the light supplement lamp is electrically connected to the battery through the inverter, and the battery is electrically connected to the solar panel through the solar controller. The solar panel which absorbs solar energy is controlled by the solar controller to charge the storage battery, the solar energy is converted into light energy to be stored in the storage battery, the storage battery converts direct current into alternating current through the inverter to supply power for the light supplement lamp, and the environmental friendliness of the light supplement lamp is enhanced.
Finally, only the specific embodiments of the present invention have been described in detail. The invention is not limited to the specific embodiments described above. Equivalent modifications and substitutions by those skilled in the art to the present invention are also within the scope of the present invention. Accordingly, variations and modifications in equivalents may be made without departing from the spirit and scope of the invention, which is intended to be covered by the following claims.
Claims (5)
1. The utility model provides a face identification intelligence cloud elevator control system, includes face identification system, total controller, elevator controller, cloud storage platform and communication module, its characterized in that:
the human face recognition system comprises a camera for collecting a human face image, a processor, a light sensor, a light supplement lamp for irradiating the human face and a living body recognition module for performing living body recognition according to the skin characteristics of the human face image, wherein the camera, the processor and the living body recognition module are sequentially and electrically connected, and the light sensor is electrically connected with the light supplement lamp through a PLC (programmable logic controller);
the living body identification module and the master controller are electrically connected with the communication module, and the master controller is electrically connected with the elevator controller through the communication module;
the cloud storage platform comprises a first server serving as a metadata node, a plurality of second servers serving as data nodes and an image comparison module, wherein the image comparison module is electrically connected with the first server, the communication module and the master controller, and the plurality of second servers are electrically connected with the first server.
2. The intelligent cloud elevator control system based on face recognition of claim 1, characterized in that:
the skin features of the face image comprise skin features of at least two parts of a forehead, eyebrows, eyes, two cheeks, a nose, lips, a chin and ears.
3. The intelligent cloud elevator control system based on face recognition of claim 1, characterized in that:
the communication module comprises an NB-IoT module, an eSIM card module and a radio frequency antenna, wherein the eSIM card module and the radio frequency antenna are electrically connected with the NB-IoT module.
4. The intelligent cloud elevator control system based on face recognition of claim 1, characterized in that:
the tail end of the living body identification module is electrically connected with an alarm which is an audible and visual alarm.
5. The intelligent cloud elevator control system based on face recognition of claim 1, characterized in that:
the light supplement lamp is electrically connected with the storage battery through the inverter, and the storage battery is electrically connected with the solar panel through the solar controller.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922375432.1U CN210955125U (en) | 2019-12-26 | 2019-12-26 | Face recognition intelligent cloud elevator control system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201922375432.1U CN210955125U (en) | 2019-12-26 | 2019-12-26 | Face recognition intelligent cloud elevator control system |
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| CN210955125U true CN210955125U (en) | 2020-07-07 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113034112A (en) * | 2021-03-31 | 2021-06-25 | 清华大学深圳国际研究生院 | Bus potential safety hazard troubleshooting system and method based on deep learning |
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2019
- 2019-12-26 CN CN201922375432.1U patent/CN210955125U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113034112A (en) * | 2021-03-31 | 2021-06-25 | 清华大学深圳国际研究生院 | Bus potential safety hazard troubleshooting system and method based on deep learning |
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