CN116563986A - Intelligent building access control system and method - Google Patents
Intelligent building access control system and method Download PDFInfo
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- CN116563986A CN116563986A CN202310432099.1A CN202310432099A CN116563986A CN 116563986 A CN116563986 A CN 116563986A CN 202310432099 A CN202310432099 A CN 202310432099A CN 116563986 A CN116563986 A CN 116563986A
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- 238000000034 method Methods 0.000 title claims abstract description 17
- 206010000117 Abnormal behaviour Diseases 0.000 claims abstract description 34
- 238000012544 monitoring process Methods 0.000 claims abstract description 26
- 230000002159 abnormal effect Effects 0.000 claims abstract description 25
- 230000006399 behavior Effects 0.000 claims abstract description 24
- 230000007246 mechanism Effects 0.000 claims abstract description 12
- 230000008054 signal transmission Effects 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 12
- 230000009471 action Effects 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 6
- 230000004044 response Effects 0.000 claims description 5
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 238000013473 artificial intelligence Methods 0.000 claims description 2
- 210000000887 face Anatomy 0.000 description 6
- 230000007547 defect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 238000009435 building construction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 210000003128 head Anatomy 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
- G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
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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
- G06V40/168—Feature extraction; Face representation
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/10—Movable barriers with registering means
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses an intelligent building access control system and method, comprising the following steps: s1, collecting behavior data of personnel, analyzing the behavior data, and judging whether the behavior data is abnormal behavior; s2, after abnormal behaviors are detected, the central controller controls monitoring to continuously track targets, meanwhile, the central controller controls building unit doors to be closed and normal closed doors of floors where abnormal personnel are located to be closed, and information is transmitted to resident doors to inform the resident of early warning; s3, performing face recognition through monitoring, comparing the recognized information with resident information, and confirming whether abnormal personnel are residents or foreign personnel. After the abnormal behaviors of the personnel are judged, the central controller can control the building unit door and the normally closed door to trigger the door lock mechanism to lock the door, and the central controller can send corresponding early warning signals to the inside of the resident door and the guard room to intercept the abnormal personnel, so that the safety of the resident in the building is improved, and the occurrence of behaviors such as property loss of the resident is effectively avoided.
Description
Technical Field
The invention relates to the field of intelligent access control of buildings, in particular to an intelligent building access control system and method.
Background
Building, namely building, mansion, the "building" word indicates "set up the building at the high place in ancient Chinese, the" building "word also has the meaning of house, eave in ancient Chinese, in the literal meaning, the building refers to the building construction of the high building.
With the development of urban and continuous increase of residential houses in China, the property management of communities is becoming important, building entrance guard often uses face recognition and entrance guard card modes to enter and exit, abnormal personnel cannot be effectively distinguished and prevented from entering and exiting in the mode, and the occurrence of small advertisement posting, stealing and public area damage and other actions in the building is difficult to effectively and timely avoid, so that the safety and security personnel response degree in the building are improved.
Accordingly, there is a need for an improvement over prior art building access controls to address the above-described issues.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides an intelligent building access control system and method.
In order to achieve the above purpose, the invention adopts the following technical scheme: an intelligent building access control system and method are characterized by comprising the following steps:
s1, detecting abnormal behaviors under monitoring in a building: collecting behavior data of personnel, analyzing the behavior data, and judging whether the behavior data is abnormal behavior, wherein the abnormal behavior comprises destroying public areas in a building, picking locks on resident doors and posting advertisements in the building;
s2, response of abnormal behaviors: after abnormal behaviors are detected, signals are automatically transmitted to a central controller, the central controller controls monitoring to continuously track targets, meanwhile, the central controller controls building unit doors to be closed and normal closed doors of floors where abnormal persons are located to be closed, and information is transmitted to resident doors to inform residents of early warning;
s3, comparing information of abnormal personnel: and when the abnormal behavior responds, the face recognition is carried out through monitoring, the recognized information is compared with resident information, and whether abnormal personnel are residents or foreign personnel is confirmed.
In a preferred embodiment of the present invention, in the step S1, a real-time every frame of image captured by monitoring is obtained, each frame of image in real time is segmented, a person detection frame is input into a pre-trained behavior feature model for fitting, and a comparison result is updated in real time according to the update of each frame of image in real time, so as to determine whether the behavior feature of the person has abnormal behavior.
In a preferred embodiment of the present invention, in the step S2, after detecting the abnormal behavior of the person, the signal is automatically transmitted to the central controller, the central controller controls the continuous tracking of the plurality of monitoring persons to the target person, and obtains the position information of the floor where the target person is located, at the same time, the central controller sends the signal to the signal transmission module of the normally closed door controlling the building unit door and the floor where the target person is located, after receiving the signal, the signal transmission module of the control door triggers the door locking mechanism to lock the door, and the central controller sends the corresponding early warning signal to the resident door.
In a preferred embodiment of the present invention, the door lock mechanism includes an electromagnetic lock: an electromagnetic lock is arranged between the door frame and the door leaf, the door leaf is locked on the door frame through electromagnetic force, and the controller is as follows: the controller is responsible for controlling the switch of the electromagnetic lock, and controls the locking and unlocking according to the instruction of the signal transmission module, and the signal transmission module: the signal transmission module is responsible for receiving signals sent by the central controller and triggering corresponding controller instructions according to the content of the signals.
In a preferred embodiment of the present invention, in the step S3, the face in the monitoring image is detected while responding to the abnormal behavior, the unique feature information of the face is extracted, the face feature to be identified is compared with the face feature of the existing resident, the similarity or distance is calculated to determine whether the face feature is matched, if so, the face feature is considered as a resident, if not, the face feature is considered as an external person, and the identification information is transmitted to the security personnel for further processing.
The invention provides an intelligent building access control system, which is based on the intelligent building access control method, and is characterized by comprising the following steps:
the acquisition module is used for acquiring video images of each monitoring node;
a processing module, comprising: the device comprises a feature identification module, a database and an identification module which are connected in sequence;
the central controller is used for controlling the building unit door and the normally closed door to be closed;
and the prediction model is used for simulating the action path of the abnormal person.
In a preferred embodiment of the present invention, the acquisition modules are connected to a monitor, and acquire monitoring images of the monitor, and each acquisition module is used for connecting a plurality of monitors.
In a preferred embodiment of the present invention, the authentication module includes: fitting a model and a decision model; the fitting model is a fitting model which combines modeling and simulation performed by an artificial intelligence algorithm and performs regression learning by using a neural network tool; the decision model judges whether the face to be recognized is matched with the face in the database according to the threshold value of the similarity or the distance.
In a preferred embodiment of the present invention, the central controller is further configured to transmit the early warning information to the resident door and the guard room.
In a preferred embodiment of the present invention, the authentication module transmits the authentication result to the central controller, the central controller transmits the signal to the feature recognition module for continuous tracking in cooperation with the acquisition module, the central controller transmits the signal to the prediction model, and the prediction model transmits the signal to the central controller in cooperation with the acquisition module.
The invention solves the defects existing in the background technology, and has the following beneficial effects:
(1) The invention provides an intelligent building access control system and method, wherein an acquisition module, a processing module and a central controller are arranged, each frame of image of personnel shot by a monitor is transmitted to a feature recognition module for segmentation in real time, a personnel detection frame is input to a fitting model in the recognition module for fitting, after abnormal behaviors of the personnel are judged, the central controller controls a building unit door and a floor normally closed door trigger door lock mechanism where the abnormal personnel are located to lock the door, and the central controller can send corresponding early warning signals to a resident door and a guard room, so that security personnel can react to intercept the abnormal personnel, thereby improving the safety of the resident in a building and effectively avoiding the occurrence of behaviors such as property loss of the resident.
(2) According to the invention, the prediction model is arranged, the central controller is connected with the prediction model in a bidirectional manner, the prediction model is connected with the acquisition module, the monitor transmits the monitoring image to the acquisition module to continuously track abnormal personnel in cooperation with the feature recognition module when abnormal behaviors are detected, the central controller transmits signals to the prediction model, the prediction model transmits a prediction action path to the central controller in cooperation with the acquisition module, and the central controller can predict the action path to trigger a door lock mechanism of normally closed doors of multiple floors to lock the doors in advance by one step when the abnormal personnel move, so that the fortification interception is faster.
(3) In the invention, when responding to abnormal behaviors, the feature recognition module transmits the extracted face features to the decision model, and judges whether the face to be recognized is matched with the face in the existing database or not according to the threshold value of the similarity or the distance through the decision model, if so, the face is considered as a resident, and if not, the face is considered as an extraneous person, and the recognition information is transmitted to a guard room through the central controller, so that the response of security personnel is faster and more accurate.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art;
FIG. 1 is a flow chart of an intelligent building access control method of a preferred embodiment of the present invention;
FIG. 2 is a schematic diagram of an intelligent building access control system in accordance with a preferred embodiment of the present invention;
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
In the description of the present application, it should be understood that the terms "center," "longitudinal," "transverse," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, merely to facilitate description of the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the scope of protection of the present application. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", etc. may include one or more of the feature, either explicitly or implicitly. In the description of the invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application can be understood by those of ordinary skill in the art in a specific context.
As shown in fig. 1, the present embodiment provides a flowchart of an intelligent building access control method, which includes the following steps:
s1, detecting abnormal behaviors under monitoring in a building: collecting behavior data of personnel, analyzing the behavior data, and judging whether the behavior data is abnormal behavior, wherein the abnormal behavior comprises destroying public areas in a building, picking locks on resident doors and posting advertisements in the building;
s2, response of abnormal behaviors: after abnormal behaviors are detected, signals are automatically transmitted to a central controller, the central controller controls monitoring to continuously track targets, meanwhile, the central controller controls building unit doors to be closed and normal closed doors of floors where abnormal persons are located to be closed, and information is transmitted to resident doors to inform residents of early warning;
s3, comparing information of abnormal personnel: and when the abnormal behavior responds, the face recognition is carried out through monitoring, the recognized information is compared with resident information, and whether abnormal personnel are residents or foreign personnel is confirmed.
In the embodiment S1, a real-time image of each frame captured by monitoring is obtained, the obtained image data is analyzed and processed, and the personnel characteristics in the image are extracted to obtain a plurality of personnel detection frames; dividing each frame of real-time image according to the extracted features and the personnel detection frames, fitting according to a preset feature behavior model in a database, updating a comparison result in real time according to the updating of each frame of real-time image, and determining whether abnormal behaviors exist in the behavior features of the personnel; including but not limited to, destroying public areas within a building, picking locks on resident doors, and posting advertisements within a building.
In this embodiment S2, after detecting the abnormal behavior of the person, the central controller will first send a signal to the signal transmission module controlling the building unit door and the normally closed door of the floor where the target person is located, and after receiving the signal, the signal transmission module controlling the door will trigger the door lock mechanism to lock the building unit door and the normally closed door of the floor where the target person is located, and the central controller will send corresponding early warning signals to the signal transmission modules in the resident door and the guard room so as to inform the user of making corresponding processing, and simultaneously perform feature extraction on a plurality of images collected by monitoring, and the central controller analyzes the key action features of the person in the feature recognition module through the prediction model, predicts the movement track of the abnormal person, and controls the normally closed door of different floors in advance to trigger the door lock mechanism, thereby achieving the effects of continuous tracking and fortification interception.
The door lock mechanism comprises an electromagnetic lock: an electromagnetic lock is arranged between the door frame and the door leaf, the door leaf is locked on the door frame through electromagnetic force, and the controller is as follows: the controller is responsible for controlling the switch of the electromagnetic lock, and controls the locking and unlocking according to the instruction of the signal transmission module, and the signal transmission module: the signal transmission module is responsible for receiving signals sent by the central controller and triggering corresponding controller instructions according to the content of the signals.
In the invention, the moving track is predicted by the key behavior characteristics of abnormal personnel, wherein the key behavior characteristics comprise: dynamic and static features; dynamic characteristics include direction of travel of people, path repetition, residence time, travel speed, etc., and static characteristics include: local detail features such as head pose, hand pose, clothing, etc.
In this embodiment S3, while responding to abnormal behaviors, the face in the image is monitored, unique feature information of the face, such as the position, size, shape, etc. of feature points such as face contours, eyes, nose, mouth, etc. is extracted, the face features to be identified are compared with existing resident face features, the similarity or distance is calculated, whether the face to be identified is matched with the existing resident face is judged according to the threshold value of the similarity or distance, if so, the resident is considered, if not, the resident is considered, and if not, the external person is considered, and the identification information is transmitted to security personnel in a guard room for further processing.
As shown in fig. 2, a schematic structural diagram of an intelligent building access control system in this embodiment is shown. This intelligent building access control system includes:
the acquisition module is used for acquiring video images of each monitoring node;
a processing module, comprising: the device comprises a feature identification module, a database and an identification module which are connected in sequence;
the central controller is used for controlling the building unit door and the normally closed door to be closed;
and the prediction model is used for simulating the action path of the abnormal person.
In this embodiment, the collection modules are connected with the monitors and acquire monitoring images of the monitors, and each collection module is used for connecting a plurality of monitors.
The authentication module in this embodiment includes: fitting a model and a decision model; the fitting model is a fitting model which combines modeling and simulation performed by an artificial intelligent algorithm and performs regression learning by using a neural network tool; the decision model is used for judging whether the face to be recognized is matched with the face in the existing database or not according to the threshold value of the similarity or the distance.
The central controller in this embodiment is also used to transmit the early warning information to the resident door and the guard room.
In the embodiment, an acquisition module acquires real-time every frame image of a plurality of monitors, and transmits the real-time every frame image to a processing module, and a characteristic recognition module in the processing module performs characteristic extraction on the real-time every frame image to obtain a personnel detection frame; transmitting data to an identification module, performing fitting according to a characteristic behavior model preset in a database through a fitting model in the identification module, updating a comparison result in real time according to updating of each frame of image in real time, transmitting the data to a central controller after determining that a person has abnormal behaviors, controlling a normally closed door trigger door lock mechanism of a building unit door and a floor where an abnormal person is located by the central controller to lock, transmitting early warning signals to a resident door and a guard room in the building by the central controller, transmitting signals to a processing module by the central controller, comparing the images acquired in the acquisition module with faces of residents in the database through a decision model in the identification module, judging whether the faces to be identified are matched with the faces in the database according to a threshold value of similarity or distance, if the faces are matched, considering the faces to be the residents, and transmitting identification information to security personnel in the guard room for further processing if the faces are not matched; and meanwhile, the central controller transmits signals to the prediction model to acquire a predicted movement track, the characteristic recognition module extracts key behavior characteristics of abnormal personnel in each frame of real-time image transmitted by the acquisition module, information is transmitted to the prediction model to predict the abnormal personnel movement track, a prediction result is transmitted back to the central controller, and the central controller controls a normally closed door trigger door lock mechanism of a corresponding predicted movement floor to lock.
The above-described preferred embodiments according to the present invention are intended to suggest that, from the above description, various changes and modifications can be made by the person skilled in the art without departing from the scope of the technical idea of the present invention. The technical scope of the present invention is not limited to the description, but must be determined according to the scope of claims.
Claims (10)
1. An intelligent building access control method, comprising: the method is characterized by comprising the following steps of:
s1, detecting abnormal behaviors under monitoring in a building: collecting behavior data of personnel, analyzing the behavior data, and judging whether the behavior data is abnormal behavior, wherein the abnormal behavior comprises destroying public areas in a building, picking locks on resident doors and posting advertisements in the building;
s2, response of abnormal behaviors: after abnormal behaviors are detected, signals are automatically transmitted to a central controller, the central controller controls monitoring to continuously track targets, meanwhile, the central controller controls building unit doors to be closed and normal closed doors of floors where abnormal persons are located to be closed, and information is transmitted to resident doors to inform residents of early warning;
s3, comparing information of abnormal personnel: and when the abnormal behavior responds, the face recognition is carried out through monitoring, the recognized information is compared with resident information, and whether abnormal personnel are residents or foreign personnel is confirmed.
2. An intelligent building access control method as claimed in claim 1, wherein: in the step S1, a real-time every frame image shot by monitoring is obtained, the real-time every frame image is segmented, a personnel detection frame is input into a pre-trained behavior feature model for fitting, and a comparison result is updated in real time according to the updating of the real-time every frame image, so that whether the behavior feature of the personnel has abnormal behaviors is determined.
3. An intelligent building access control method as claimed in claim 1, wherein: in the step S2, after detecting the abnormal behavior of the person, the signal is automatically transmitted to the central controller, the central controller controls the continuous tracking of a plurality of monitoring to the target person, and obtains the position information of the floor where the target person is located, meanwhile, the central controller sends the signal to the signal transmission module of the normally closed door controlling the building unit door and the floor where the target person is located, after receiving the signal, the signal transmission module of the control door triggers the door locking mechanism to lock the door, and the central controller sends the corresponding early warning signal to the resident door.
4. An intelligent building access control method according to claim 3, wherein: the door lock mechanism comprises an electromagnetic lock: an electromagnetic lock is arranged between the door frame and the door leaf, the door leaf is locked on the door frame through electromagnetic force, and the controller is as follows: the controller is responsible for controlling the switch of the electromagnetic lock, and controls the locking and unlocking according to the instruction of the signal transmission module, and the signal transmission module: the signal transmission module is responsible for receiving signals sent by the central controller and triggering corresponding controller instructions according to the content of the signals.
5. An intelligent building access control method as claimed in claim 1, wherein: in the step S3, the abnormal behavior is responded, the face in the monitoring image is detected, the unique characteristic information of the face is extracted, the face characteristic to be identified is compared with the face characteristic of the existing resident, the similarity or distance is calculated to determine whether the face is matched, if the face is matched, the resident is considered as the resident, if the face is not matched, the face is considered as the external person, and the identification information is transmitted to the security personnel for further processing.
6. An intelligent building access control system, based on the intelligent building access control method of any one of claims 1-5, comprising:
the acquisition module is used for acquiring video images of each monitoring node;
a processing module, comprising: the device comprises a feature identification module, a database and an identification module which are connected in sequence;
the central controller is used for controlling the building unit door and the normally closed door to be closed;
and the prediction model is used for simulating the action path of the abnormal person.
7. The intelligent building access control system of claim 6, wherein: the acquisition modules are connected with the monitors and acquire monitoring images of the monitors, and each acquisition module is used for connecting a plurality of monitors.
8. The intelligent building access control system of claim 6, wherein: the authentication module includes: fitting a model and a decision model; the fitting model is a fitting model which combines modeling and simulation performed by an artificial intelligence algorithm and performs regression learning by using a neural network tool; the decision model judges whether the face to be recognized is matched with the face in the database according to the threshold value of the similarity or the distance.
9. The intelligent building access control system of claim 6, wherein: the central controller is also used for transmitting early warning information into the resident door and the guard room.
10. The intelligent building access control system of claim 6, wherein: the identification module transmits an identification result to the central controller, the central controller transmits a signal to the characteristic identification module to be matched with the acquisition module for continuous tracking, the central controller transmits the signal to the prediction model, and the prediction model is matched with the acquisition module to transmit the signal to the central controller.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310432099.1A CN116563986A (en) | 2023-04-21 | 2023-04-21 | Intelligent building access control system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310432099.1A CN116563986A (en) | 2023-04-21 | 2023-04-21 | Intelligent building access control system and method |
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| CN116563986A true CN116563986A (en) | 2023-08-08 |
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| CN202310432099.1A Withdrawn CN116563986A (en) | 2023-04-21 | 2023-04-21 | Intelligent building access control system and method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116743507A (en) * | 2023-08-15 | 2023-09-12 | 北京格林威尔科技发展有限公司 | Intrusion detection method and system based on intelligent door lock |
-
2023
- 2023-04-21 CN CN202310432099.1A patent/CN116563986A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116743507A (en) * | 2023-08-15 | 2023-09-12 | 北京格林威尔科技发展有限公司 | Intrusion detection method and system based on intelligent door lock |
| CN116743507B (en) * | 2023-08-15 | 2023-10-10 | 北京格林威尔科技发展有限公司 | Intrusion detection method and system based on intelligent door lock |
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Application publication date: 20230808 |