CN109003367B - Access control method and device, storage medium and terminal - Google Patents
Access control method and device, storage medium and terminal Download PDFInfo
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- CN109003367B CN109003367B CN201810806274.8A CN201810806274A CN109003367B CN 109003367 B CN109003367 B CN 109003367B CN 201810806274 A CN201810806274 A CN 201810806274A CN 109003367 B CN109003367 B CN 109003367B
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000010276 construction Methods 0.000 claims description 12
- 239000000463 material Substances 0.000 claims description 12
- 238000002310 reflectometry Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 230000037237 body shape Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 239000003086 colorant Substances 0.000 description 1
- 238000009430 construction management Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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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
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check 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
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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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
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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
- G06V40/172—Classification, e.g. identification
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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
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/38—Individual registration on entry or exit not involving the use of a pass with central registration
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- Health & Medical Sciences (AREA)
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- Oral & Maxillofacial Surgery (AREA)
- Computer Vision & Pattern Recognition (AREA)
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Abstract
A control method and device for entrance guard, a storage medium and a terminal are provided, the method comprises the following steps: carrying out face recognition on a person to be entered to determine whether the person to be entered belongs to a safety person or not; identifying the person to be entered in a human shape to determine whether the person to be entered is wearing a safety helmet; and if the person to be entered belongs to the safety personnel and the safety helmet is worn by the person to be entered, controlling the entrance guard to open. The scheme of the invention can effectively judge the identity safety and the life safety of the personnel to enter, and is beneficial to reducing the potential safety hazard of life and property.
Description
Technical Field
The invention relates to the technical field of safety, in particular to a method and a device for controlling an access control, a storage medium and a terminal.
Background
With the increasing of civil engineering projects, the construction safety problem and the personnel management problem of the civil engineering projects to be built and constructed are more and more prominent. In the construction process, the construction safety management becomes the key point of attention of construction units, construction units and construction management departments.
To ensure worker safety, workers are often required to wear safety helmets before entering the worksite. However, if the safety awareness of the worker is not sufficient, there may be cases where the helmet is stolen or not worn directly.
In the prior art, it is common to arrange a duty officer to manually check whether a person to be entered is wearing a helmet near a work site access (e.g., a gate, a doorway) and to instruct a worker who is not wearing a helmet to wear a helmet.
However, when the flow of people is large, it may be difficult for the duty personnel to identify each person to enter to determine whether the person is a worker at the local site; on the other hand, it is also difficult to accurately determine whether the person to be entered actually wears the helmet by human recognition.
At this time, if the person is not a worker of the site, property hazards are brought; the personnel who wait to enter who do not wear the safety helmet also have life safety hidden danger, even the incident takes place.
Disclosure of Invention
The invention aims to provide a control method and device of an access control, a storage medium and a terminal, which can effectively judge the identity safety and the life safety of people to enter and are beneficial to reducing the potential safety hazard of life and property.
In order to solve the technical problem, an embodiment of the present invention provides a method for controlling an access control device, including the following steps: carrying out face recognition on a person to be entered to determine whether the person to be entered belongs to a safety person or not; identifying the person to be entered in a human shape to determine whether the person to be entered is wearing a safety helmet; and if the person to be entered belongs to the safety personnel and the safety helmet is worn by the person to be entered, controlling the entrance guard to open.
Optionally, the performing face recognition on the person to be entered to determine whether the person to be entered belongs to a security officer includes: carrying out face recognition on the person to be entered to obtain current face information; inquiring a safety personnel information base according to the current face information to determine whether the safety personnel information base contains the current face information; and if the safety personnel information base contains the current face information, determining that the personnel to be entered belong to safety personnel, and otherwise, determining that the personnel to be entered do not belong to safety personnel.
Optionally, the human shape recognition of the person to be entered to determine whether the safety helmet is worn by the person to be entered includes: identifying the shape of the person to be entered to determine whether the person to be entered wears a safety helmet or not; if the person to enter wears the safety helmet, performing characteristic identification on the characteristics of the safety helmet to determine whether the person to enter belongs to a preset safety helmet or not; and if the safety helmet belongs to a preset safety helmet, determining that the person to enter wears the safety helmet.
Optionally, the characteristic is selected from one or more of: profile, color, horizontal dimension, vertical dimension, material.
Optionally, the access control is a building site access control.
In order to solve the above technical problem, an embodiment of the present invention provides a control device for an access control device, including: the personnel determining module is suitable for carrying out face recognition on personnel to be entered so as to determine whether the personnel to be entered belong to safety personnel; a safety helmet determination module, which is suitable for identifying the human shape of the person to be entered so as to determine whether the person to be entered wears a safety helmet; and the control module is suitable for controlling the entrance guard to be opened when the person to enter belongs to the safety personnel and the safety helmet is worn by the person to enter.
Optionally, the personnel determination module includes: the current face determining submodule is suitable for carrying out face recognition on the person to be entered so as to obtain current face information; the information base determining submodule is suitable for inquiring a safety personnel information base according to the current face information so as to determine whether the safety personnel information base contains the current face information; and the person determining submodule is suitable for determining that the person to enter belongs to the safety person when the safety person information base contains the current face information, and otherwise determining that the person to enter does not belong to the safety person.
Optionally, the safety helmet determination module includes: the wearing determination sub-module is suitable for identifying the human shape of the person to be entered so as to determine whether the person to be entered wears a safety helmet or not; the preset safety helmet determination sub-module is suitable for carrying out feature recognition on the features of the safety helmet when the safety helmet is worn by the person to enter so as to determine whether the person to enter belongs to the preset safety helmet or not; a safety helmet determination submodule adapted to determine that the person to enter has worn a safety helmet when the safety helmet belongs to a preset safety helmet.
Optionally, the characteristic is selected from one or more of: profile, color, horizontal dimension, vertical dimension, material.
Optionally, the access control is a building site access control.
In order to solve the foregoing technical problem, an embodiment of the present invention provides a storage medium, where computer instructions are stored, and when the computer instructions are executed, the steps of the access control method are executed.
In order to solve the foregoing technical problem, an embodiment of the present invention provides a terminal, including a memory and a processor, where the memory stores a computer instruction capable of being executed on the processor, and the processor executes the steps of the access control method when executing the computer instruction.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, the human face recognition is carried out on the person to be entered to determine whether the person to be entered belongs to the safety personnel, and the human shape recognition is carried out on the person to be entered to determine whether the safety helmet is worn by the person to be entered; and if the person to be entered belongs to the safety personnel and the safety helmet is worn by the person to be entered, controlling the entrance guard to open. By adopting the scheme, whether the personnel to be entered are safe personnel and whether the safety helmet is worn can be determined through face recognition and human shape recognition.
Further, if the person to enter wears a safety helmet, the characteristics of the safety helmet are subjected to characteristic identification so as to determine whether the person to enter belongs to a preset safety helmet. Compared with the prior art in which the staff is arranged to perform manual inspection, if the safety helmet worn by the staff to enter is not a preset regular safety helmet specified in a construction site, for example, the staff is often difficult to identify and determine through manual identification when the safety helmet is only a common helmet with the same color system, the scheme of the embodiment of the invention can effectively judge the regularity of the safety helmet of the staff to enter, and further effectively reduce the potential safety hazard of life.
Drawings
Fig. 1 is a flowchart of a method for controlling an access control system according to an embodiment of the present invention;
FIG. 2 is a flowchart of one embodiment of step S11 of FIG. 1;
FIG. 3 is a flowchart of one embodiment of step S12 of FIG. 1;
fig. 4 is a schematic structural diagram of a control device of an entrance guard in an embodiment of the present invention.
Detailed Description
In the prior art, in order to ensure the safety of workers, the workers are usually arranged to be on duty and are required to wear safety helmets before entering the construction site. Specifically, it is possible to manually check whether a person to be entered wears a helmet near a work site entrance and to instruct a worker who does not wear a helmet to wear a helmet.
The inventor of the invention has found through research that when the flow of people is large, the duty personnel may have difficulty identifying each person to enter to determine whether the person is a worker at the local site; on the other hand, it is also difficult to accurately determine whether the person to be entered actually wears the helmet by human recognition.
In the embodiment of the invention, the human face recognition is carried out on the person to be entered to determine whether the person to be entered belongs to the safety personnel, and the human shape recognition is carried out on the person to be entered to determine whether the safety helmet is worn by the person to be entered; and if the person to be entered belongs to the safety personnel and the safety helmet is worn by the person to be entered, controlling the entrance guard to open. By adopting the scheme, whether the personnel to be entered are safe personnel and whether the safety helmet is worn can be determined through face recognition and human shape recognition.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Referring to fig. 1, fig. 1 is a flowchart of a method for controlling an access control system according to an embodiment of the present invention. The method for controlling the entrance guard may include steps S11 to S13:
step S11: carrying out face recognition on a person to be entered to determine whether the person to be entered belongs to a safety person or not;
step S12: identifying the person to be entered in a human shape to determine whether the person to be entered is wearing a safety helmet;
step S13: and if the person to be entered belongs to the safety personnel and the safety helmet is worn by the person to be entered, controlling the entrance guard to open.
In a specific implementation of step S11, the person to be entered may be subjected to face recognition by an image sensor disposed near the door.
In particular, the image sensor may be a camera, for example, may be disposed within a peripheral preset range of an entrance guard. The specific size of the preset range may be determined according to a specific environment, which is not limited in the embodiment of the present invention.
Further, the image sensor may be selected from: a Charge-coupled Device (CCD) camera, an infrared camera, and the like.
In the embodiment of the invention, the camera is a CCD (charge coupled device) camera or an infrared camera, so that the shooting quality is improved, and the shooting quality at night and in poor light is improved.
Referring to fig. 2, fig. 2 is a flowchart of an embodiment of step S11 in fig. 1. The step of performing face recognition on the person to be entered to determine whether the person to be entered belongs to a security officer may include steps S21 to S23, which are described below.
In step S21, face recognition is performed on the person to enter to obtain current face information.
Specifically, a conventional face recognition algorithm may be adopted to perform recognition based on the face feature information of the person to obtain the current face information. The face information may include a plurality of mode features, such as histogram features, color features, template features, and structural features extracted from a face image in the video data. It can be understood that the larger the information amount contained in the face information is, the higher the accuracy of the acquired current face information is.
In step S22, a security personnel information base is queried according to the current face information to determine whether the security personnel information base includes the current face information.
The safety personnel information base may include face information that is confirmed as safety personnel, such as staff, family members of the staff, and the like.
Specifically, by querying the security personnel information base, the current face information may be compared with face information already stored in the security personnel information base to determine whether the security personnel information base includes the current face information.
In step S23, if the security officer information base includes the current face information, it is determined that the person to enter belongs to a security officer, otherwise, it is determined that the person to enter does not belong to a security officer.
Specifically, if it is determined through comparison that the security personnel information base contains current face information, it may be determined that a person to enter is determined to be a security personnel, and thus the person is determined in identity.
With continued reference to FIG. 1, in an implementation of step S12, a human shape recognition is performed on the person to be entered to determine whether the person to be entered has a crash helmet worn.
Referring to fig. 3, fig. 3 is a flowchart of an embodiment of step S12 in fig. 1. The step of performing human shape recognition on the person to be entered to determine whether the person to be entered has worn a crash helmet may include steps S31 to S33, each of which is described below.
In step S31, human shape recognition is performed on the person to be entered to determine whether the person to be entered wears a crash helmet.
Specifically, a conventional human shape detection algorithm may be employed to perform recognition based on the body shape feature information of the person to determine whether the head of the person to enter is detected to be wearing a hat.
The body shape feature information of the person may include various body shape features, such as height, body shape, motion, and the like. It is understood that the greater the amount of information contained in the body shape feature information of the person, the more accurate the positioning of the head of the person to be entered, and the more easily and accurately determining whether the person is wearing a helmet.
More specifically, the safety helmet generally comprises a helmet shell, a helmet liner, a chin strap, accessories and the like, wherein the helmet shell is a main component of the safety helmet and generally adopts an elliptical or hemispherical thin shell structure, so that in one embodiment, the head of the person to be entered can be positioned through human shape recognition, and then whether the elliptical or hemispherical hat is worn on the head can be judged, so that whether the person to be entered wears the safety helmet or not can be determined.
In step S32, if the person to enter wears a safety helmet, the characteristics of the safety helmet are subjected to characteristic recognition to determine whether the person to enter belongs to a preset safety helmet.
Wherein the characteristic may be selected from one or more of: profile, color, horizontal dimension, vertical dimension, material.
In particular, the profile may be used to indicate the circumference of the helmet, e.g. whether the shell is shaped as an ellipse or a hemisphere, whether there is a visor, etc. In a specific implementation, the method can be set to judge that the profile characteristics of the safety helmet conform to the preset safety helmet only when the profile conforms to the preset profile.
The color may be used as one of the features to distinguish safety helmets of colors other than the unit, thereby further ensuring that the person to be entered wears the correct safety helmet. In a specific implementation, the color feature of the safety helmet is judged to be in accordance with the preset safety helmet only when the color is in accordance with the preset color.
The horizontal and vertical dimensions may be used to indicate whether the helmet worn by the person to be entered meets dimensional requirements, and too large or too small helmets often have difficulty in adequate protection. In a specific implementation, the method may be configured to determine that the size characteristic of the safety helmet conforms to a preset safety helmet only when the horizontal size and the vertical size conform to a preset size range.
The material may include, for example, color, texture, smoothness, transparency, reflectivity, refractive index, luminosity, etc. of the surface of the helmet, and may be used to distinguish whether the helmet is a standard helmet, rather than a normal helmet similar to a helmet of the same color family. In a specific implementation, the material characteristics of the safety helmet are determined to be in accordance with the preset safety helmet only when the material is in accordance with the preset material.
In step S33, if the helmet belongs to a preset helmet, it is determined that the person to enter has worn a helmet.
In the embodiment of the invention, if the person to enter wears the safety helmet, the characteristics of the safety helmet are subjected to characteristic identification so as to determine whether the person to enter belongs to a preset safety helmet. Compared with the prior art in which the staff is arranged to perform manual inspection, if the safety helmet worn by the staff to enter is not a preset regular safety helmet specified in a construction site, for example, the staff is often difficult to identify and determine through manual identification when the safety helmet is only a common helmet with the same color system, the scheme of the embodiment of the invention can effectively judge the regularity of the safety helmet of the staff to enter, and further effectively reduce the potential safety hazard of life.
Further, the access control may be a worksite access control.
In specific implementation, the construction site usually occupies a relatively large area, the area of the entrance guard is usually large, and the identity safety and the life safety of people to be entered are more difficult to check in a manual mode. By adopting the scheme of the embodiment of the invention, the personnel to be entered can be checked at the entrance guard of the construction site, and the accuracy is higher.
In the embodiment of the invention, the human face recognition is carried out on the person to be entered to determine whether the person to be entered belongs to the safety personnel, and the human shape recognition is carried out on the person to be entered to determine whether the safety helmet is worn by the person to be entered; and if the person to be entered belongs to the safety personnel and the safety helmet is worn by the person to be entered, controlling the entrance guard to open. By adopting the scheme, whether the personnel to be entered are safe personnel and whether the safety helmet is worn can be determined through face recognition and human shape recognition.
Fig. 4 is a schematic structural diagram of a control device of an entrance guard in an embodiment of the present invention. The control device of the gate guard may include:
a person determination module 41, adapted to perform face recognition on a person to be entered to determine whether the person to be entered belongs to a security person;
a helmet determination module 42 adapted to perform human shape recognition on the person to be entered to determine whether the person to be entered has a helmet worn;
and the control module 43 is suitable for controlling the entrance guard to be opened when the person to enter belongs to the safety personnel and the safety helmet is worn by the person to enter.
Further, the person determination module 41 may include:
a current face determining sub-module (not shown) adapted to perform face recognition on the person to enter to obtain current face information;
an information base determining sub-module (not shown) adapted to query a security personnel information base according to the current face information to determine whether the security personnel information base contains the current face information;
and a person determining sub-module (not shown) adapted to determine that the person to enter belongs to a security person when the security person information base contains the current face information, and otherwise determine that the person to enter does not belong to the security person.
Further, the helmet determination module 42 may include:
a wear determination sub-module (not shown) adapted to perform human shape recognition on the person to be entered to determine whether the person to be entered wears a crash helmet;
a preset safety helmet determination submodule (not shown) adapted to perform feature recognition on features of a safety helmet when the person to enter wears the safety helmet, so as to determine whether the person belongs to the preset safety helmet;
a helmet determination sub-module (not shown) adapted to determine that the person to enter has worn a helmet when the helmet belongs to a preset helmet.
Further, the features may be selected from one or more of: profile, color, horizontal dimension, vertical dimension, material.
Further, the access control may be a worksite access control.
The embodiment of the invention also provides a storage medium, wherein computer instructions are stored on the storage medium, and when the computer instructions are operated, the steps of the access control method shown in fig. 1 to 3 are executed. The storage medium may be a computer-readable storage medium, and may include, for example, a non-volatile (non-volatile) or non-transitory (non-transitory) memory, and may further include an optical disc, a mechanical hard disk, a solid state hard disk, and the like.
The embodiment of the present invention further provides a terminal, which includes a memory and a processor, where the memory stores a computer instruction capable of running on the processor, and the processor executes the steps of the access control method shown in fig. 1 to 3 when running the computer instruction. The terminal includes, but is not limited to, a mobile phone, a computer, a tablet computer and other terminal devices.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A control method of entrance guard is characterized by comprising the following steps:
carrying out face recognition on a person to be entered to determine whether the person to be entered belongs to a safety person or not; identifying the person to be entered in a human shape to determine whether the person to be entered is wearing a safety helmet;
if the person to enter belongs to the safety personnel and the safety helmet is worn by the person to enter, controlling the entrance guard to open;
wherein the human shape recognition of the person to be entered to determine whether the person to be entered has worn a crash helmet comprises:
identifying the shape of the person to be entered to determine whether the person to be entered wears a safety helmet or not; if the person to enter wears the safety helmet, performing characteristic identification on the characteristics of the safety helmet to determine whether the person to enter belongs to a preset safety helmet or not;
if the safety helmet belongs to a preset safety helmet, determining that the person to enter wears the safety helmet;
the features include: material quality;
wherein the material is selected from: color, texture, smoothness, transparency, reflectivity, refractive index, and luminosity of the surface of the headgear;
the face recognition of the person to be entered comprises the following steps: and adopting a CCD camera or an infrared camera to carry out face recognition on the person to be entered.
2. The access control method according to claim 1, wherein the performing face recognition on the person to be entered to determine whether the person to be entered belongs to a security officer comprises:
carrying out face recognition on the person to be entered to obtain current face information;
inquiring a safety personnel information base according to the current face information to determine whether the safety personnel information base contains the current face information;
and if the safety personnel information base contains the current face information, determining that the personnel to be entered belong to safety personnel, and otherwise, determining that the personnel to be entered do not belong to safety personnel.
3. The method of claim 1, wherein the characteristics are further selected from one or more of the following: profile, color, horizontal dimension, vertical dimension.
4. The method of controlling a door access according to any one of claims 1 to 3, wherein the door access is a construction site door access.
5. The utility model provides a controlling means of entrance guard which characterized in that includes:
the personnel determining module is suitable for carrying out face recognition on personnel to be entered so as to determine whether the personnel to be entered belong to safety personnel;
a safety helmet determination module, which is suitable for identifying the human shape of the person to be entered so as to determine whether the person to be entered wears a safety helmet;
the control module is suitable for controlling the entrance guard to be opened when the person to enter belongs to the safety personnel and the safety helmet is worn by the person to enter;
wherein the hard hat determination module comprises:
the wearing determination sub-module is suitable for identifying the human shape of the person to be entered so as to determine whether the person to be entered wears a safety helmet or not;
the preset safety helmet determination sub-module is suitable for carrying out feature recognition on the features of the safety helmet when the safety helmet is worn by the person to enter so as to determine whether the person to enter belongs to the preset safety helmet or not;
a safety helmet determination sub-module adapted to determine that the person to enter has worn a safety helmet when the safety helmet belongs to a preset safety helmet;
the features include: material quality;
wherein the material is selected from: color, texture, smoothness, transparency, reflectivity, refractive index, and luminosity of the surface of the headgear;
and the personnel determining module adopts a CCD camera or an infrared camera to identify the face of the personnel to be entered.
6. The door entry control device according to claim 5, wherein the person determination module comprises:
the current face determining submodule is suitable for carrying out face recognition on the person to be entered so as to obtain current face information;
the information base determining submodule is suitable for inquiring a safety personnel information base according to the current face information so as to determine whether the safety personnel information base contains the current face information;
and the person determining submodule is suitable for determining that the person to enter belongs to the safety person when the safety person information base contains the current face information, and otherwise determining that the person to enter does not belong to the safety person.
7. The door entry control device of claim 5, wherein the characteristics are further selected from one or more of the following: profile, color, horizontal dimension, vertical dimension.
8. The door access control device according to any one of claims 5 to 7, wherein the door access is a construction site door access.
9. A storage medium having stored thereon computer instructions, wherein the computer instructions are operable to perform the steps of the method of controlling a door access according to any one of claims 1 to 4.
10. A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, wherein the processor executes the computer instructions to perform the steps of the method of controlling a door access according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201810806274.8A CN109003367B (en) | 2018-07-18 | 2018-07-18 | Access control method and device, storage medium and terminal |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810806274.8A CN109003367B (en) | 2018-07-18 | 2018-07-18 | Access control method and device, storage medium and terminal |
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| CN109003367A CN109003367A (en) | 2018-12-14 |
| CN109003367B true CN109003367B (en) | 2021-10-08 |
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| CN201810806274.8A Expired - Fee Related CN109003367B (en) | 2018-07-18 | 2018-07-18 | Access control method and device, storage medium and terminal |
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Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110533811A (en) * | 2019-08-28 | 2019-12-03 | 深圳市万睿智能科技有限公司 | The method and device and system and storage medium of safety cap inspection are realized based on SSD |
| CN111695549A (en) * | 2020-08-04 | 2020-09-22 | 图为信息科技(深圳)有限公司 | Safety helmet wearing detection and identification method based on edge calculation and alarm system |
| CN112183284B (en) * | 2020-09-22 | 2022-09-23 | 上海钧正网络科技有限公司 | Safety information verification and designated driving order receiving control method and device |
| CN117068976B (en) * | 2023-08-04 | 2024-05-03 | 山东高速建设管理集团有限公司 | Crane construction standard safety detection method |
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| JP2001006008A (en) * | 1999-04-22 | 2001-01-12 | Nishimatsu Constr Co Ltd | Entrance and exit management system outputting slip |
| CN1967564A (en) * | 2005-11-17 | 2007-05-23 | 中华电信股份有限公司 | Method and device for detecting and identifying human face applied to set environment |
| CN103049949A (en) * | 2012-12-10 | 2013-04-17 | 电子科技大学 | Personnel security management system and method in mining areas |
| CN106503716A (en) * | 2016-09-13 | 2017-03-15 | 中国电力科学研究院 | A kind of safety cap recognition methods that is extracted based on color and contour feature and system |
| CN207380789U (en) * | 2017-11-21 | 2018-05-18 | 湖南麓道建设工程管理咨询有限公司 | A kind of engineering project place personnel safety supervisory systems |
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| US10289822B2 (en) * | 2016-07-22 | 2019-05-14 | Nec Corporation | Liveness detection for antispoof face recognition |
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|---|---|---|---|---|
| JP2001006008A (en) * | 1999-04-22 | 2001-01-12 | Nishimatsu Constr Co Ltd | Entrance and exit management system outputting slip |
| CN1967564A (en) * | 2005-11-17 | 2007-05-23 | 中华电信股份有限公司 | Method and device for detecting and identifying human face applied to set environment |
| CN103049949A (en) * | 2012-12-10 | 2013-04-17 | 电子科技大学 | Personnel security management system and method in mining areas |
| CN106503716A (en) * | 2016-09-13 | 2017-03-15 | 中国电力科学研究院 | A kind of safety cap recognition methods that is extracted based on color and contour feature and system |
| CN207380789U (en) * | 2017-11-21 | 2018-05-18 | 湖南麓道建设工程管理咨询有限公司 | A kind of engineering project place personnel safety supervisory systems |
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