CN112419681A - Target early warning method, electronic device, and medium - Google Patents
Target early warning method, electronic device, and medium Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06V40/161—Detection; Localisation; Normalisation
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/40—Spoof detection, e.g. liveness detection
- G06V40/45—Detection of the body part being alive
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/90—Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/10—Small scale networks; Flat hierarchical networks
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Abstract
The invention relates to a target early warning method, electronic equipment and a medium, wherein the method comprises the steps of S1, acquiring a human body dynamic image of a target to be detected to carry out in-vivo detection, if the human body dynamic image passes verification, executing the step S2, otherwise, carrying out first-level early warning; step S2, receiving current position information of a target to be detected reported by a mobile terminal and base station information and/or wifi information which is currently connected with the mobile terminal; step S3, whether the target to be detected is located within a preset position range is judged based on the current position information of the target and base station information and/or wifi information corresponding to a terminal reporting the current position information, and if not, first-level early warning is carried out. According to the invention, the accuracy and reliability of target early warning are improved by verifying the current position information of the target to be detected reported by the received mobile terminal.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a target warning method, an electronic device, and a medium.
Background
The existing target early warning technology generally judges whether the target to be detected is in a preset range based on the acquired position information of the target to be detected, so as to perform early warning on the target to be detected. However, in the prior art, there are multiple application programs (apps) capable of changing the reported position information, so that the position information reported by the terminal is inconsistent with the actual position information, and therefore, the accuracy of judging whether the target to be detected is within the preset range is low and the reliability is poor only by acquiring the position information of the target to be detected.
Disclosure of Invention
The invention aims to provide a target early warning method, electronic equipment and a medium, which improve the accuracy and reliability of target early warning by verifying the current position information of a target to be detected reported by a received mobile terminal.
According to a first aspect of the present invention, there is provided a target early warning method, applied to a server, including:
s1, acquiring a human body dynamic image of a target to be detected for living body detection, if the human body dynamic image passes the verification, executing S2, otherwise, performing first-level early warning;
step S2, receiving current position information of a target to be detected reported by a mobile terminal and base station information and/or wifi information which is currently connected with the mobile terminal;
step S3, whether the target to be detected is located within a preset position range is judged based on the current position information of the target and base station information and/or wifi information corresponding to a terminal reporting the current position information, and if not, first-level early warning is carried out.
According to a second aspect of the present invention, there is provided an electronic apparatus comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being arranged to perform the method of the first aspect of the invention.
According to a third aspect of the invention, there is provided a computer readable storage medium, the computer instructions being for performing the method of the first aspect of the invention.
Compared with the prior art, the invention has obvious advantages and beneficial effects. By means of the technical scheme, the target early warning method, the electronic equipment and the medium provided by the invention can achieve considerable technical progress and practicability, have industrial wide utilization value and at least have the following advantages:
the invention verifies the current position information of the target to be detected reported by the mobile terminal based on the base station information and/or wifi information which is currently connected with the mobile terminal, thereby improving the accuracy and reliability of target early warning.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.
Drawings
Fig. 1 is a flowchart of a target early warning method according to an embodiment of the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description of the embodiments and effects of an object warning method, an electronic device and a medium according to the present invention will be provided with reference to the accompanying drawings and preferred embodiments.
The embodiment of the invention provides a target early warning method, which is applied to a server and comprises the following steps:
s1, acquiring a human body dynamic image of a target to be detected for living body detection, if the human body dynamic image passes the verification, executing S2, otherwise, performing first-level early warning;
the target early warning method can be used for early warning target personnel and determining whether the target personnel are in a preset position range. The target to be detected is one of target personnel needing to be monitored, and information of the personnel to be monitored can be stored in the database in advance and used for calling in the living body detection process. The living body detection can verify whether the target to be detected is operated by the real living body owner or not by combining actions such as blinking, mouth opening, head shaking, head pointing and the like and by using technologies such as human face key point positioning, human face tracking and the like, and the technical details of the living body detection are not repeated herein. The first-level early warning is the highest-level early warning, and because the accuracy of the living body detection technology is very high, when a target to be detected cannot pass through the living body detection according to specified operation, the target person is probably no longer within the preset position range, so the highest-level early warning is required, and the method can be specifically realized by displaying the information of the target person to be detected on a display interface and marking the information as red.
Step S2, receiving current position information of a target to be detected reported by a mobile terminal and base station information and/or wifi information which is currently connected with the mobile terminal;
the preset app can be installed on the terminal, and a Software Development Kit (SDK) is installed in the preset app, and the SDK is used for performing living body detection on the target to be detected, and acquiring position information of the target to be detected, and base station information and/or wifi information.
Step S3, whether the target to be detected is located within a preset position range is judged based on the current position information of the target and base station information and/or wifi information corresponding to a terminal reporting the current position information, and if not, first-level early warning is carried out.
It can be understood that the mobile terminal reports the current location information of the target to be detected to the server, that is, the current location information of the mobile terminal, the mobile terminal can report the location information only by connecting a base station through a mobile network or by connecting wifi, and the base station information, the wifi information and the location information corresponding to the base station information and the wifi information are usually stored in a database in advance, so that the reported current location information of the target to be detected can be checked by using the base station information and/or the wifi information.
According to the present invention, a server may be physically implemented as one server, or may be implemented as a server group including a plurality of servers; the mobile terminal may be physically implemented as a smartphone, PAD, or other mobile device capable of installing an application (e.g., APP). Those skilled in the art will appreciate that the model, specification, etc. of the server and the mobile terminal do not affect the scope of the present invention.
The embodiment of the invention verifies the current position information of the target to be detected reported by the mobile terminal based on the base station information and/or wifi information which is currently connected with the mobile terminal, can accurately and quickly identify the report of false position information, improves the accuracy and reliability of target early warning, and effectively performs early warning on the target.
The following describes the verification of the acquired location information of the target to be detected by using base station information and/or wifi information corresponding to the terminal based on the current location information, in two specific embodiments:
the first embodiment,
The step S3 includes:
step S301, judging whether the current position information is in a preset position range, if so, executing step S302, otherwise, performing first-level early warning;
the preset position range can be set in a self-defined mode according to specific early warning requirements, for example, the preset position range is within a district range or a certain city range.
Step S302, obtaining base station list information and/or wifi list information within a preset distance range by taking the current position as a center from a preset database;
the preset distance can be set according to the distance range covered by the base station, the distance range covered by the wifi and the early warning requirement in a self-defined manner, for example, the preset distance range is set to [1000,3000] m, and preferably, the preset distance is set to 2000 m.
Step S303, comparing the base station information and/or the wifi information corresponding to the terminal reporting the current position information with the base station list information and/or the wifi list information, judging whether the base station information and/or the wifi information completely exist in the base station list information and/or the wifi list information, and if not, performing primary early warning.
It can be understood that, in step S303, when the mobile terminal is only connected to the base station, only the base station information is reported, and only the base station information is compared; and when the mobile terminal is only connected with the wifi information, only comparing the wifi information. When the position information is within the position range, and the corresponding base station information and/or wifi information is not obtained in the preset database, the current position is taken as the center, and the base station list information and/or wifi list information within the preset distance range are/is reported by the mobile terminal, so that the current position information is possibly reported falsely or wrongly, the target to be detected is not within the preset position range, and therefore, the first-level early warning is required.
Example II,
When the base station information and/or wifi information corresponding to the terminal of the current location information reported by the mobile terminal is empty, the current location information cannot be verified through the embodiment, and at this time, the accuracy of the current location information reported by the mobile terminal can be judged by detecting whether app capable of modifying the reported location information is installed in the mobile terminal.
The step S3 includes:
step S311, determining whether base station information and/or wifi information corresponding to the terminal of the current location information reported by the mobile terminal is empty, and if so, executing step S312;
step S312, acquiring an app list of the terminal;
the app information in the app list may include app name information, description information, and the like.
Step S313, comparing the app list of the terminal with a preset app early warning list, if the app information in the app early warning list exists in the app list of the terminal, performing first-stage early warning, and if the app information in the app early warning list does not exist, performing second-stage early warning, wherein a plurality of app information capable of changing reported position information are stored in the app early warning list information, and the level of the second-stage early warning is lower than that of the first-stage early warning.
The second level can be realized by displaying the information of the target person to be detected on a display interface, and marking the information as green, namely distinguishing the early warning levels by using different colors. Early warning personnel can correspondingly designate corresponding early warning strategies through multi-stage early warning to better early warn target personnel.
In an application scenario, a target information person binds identity information through a preset app, a server sends a card punching instruction to a mobile terminal, the target person punches a card through steps S1-S3 based on the card punching instruction, and the server identifies the card. Or the target person carries out card punching through the steps S1-S3 regularly, the server identifies the card, and the target person is warned based on the card punching process. However, in order to timely detect the abnormality of the target to be detected, the target to be detected may be monitored beyond the time of executing steps S1-S3, so as to improve the reliability of target monitoring, which is described in the following two specific embodiments:
example III,
Besides the time for executing the steps S1-S3, the method further includes:
step S401, acquiring an app list of the terminal;
and acquiring the app list of the terminal at preset time intervals outside the time from the step S1 to the step S3 for judgment.
Step S402, comparing the app list of the terminal with a preset app early warning list, and if at least one app information in the app early warning list exists in the app list, performing third-level early warning, wherein a plurality of app information capable of changing reported position information are stored in the app early warning list information, and the level of the third-level early warning is lower than that of the first-level early warning.
It can be understood that when the target person installs the app capable of changing the reported position information, there is a suspicion of leaving the preset position range, and therefore, the warning is also performed, so that the warning person can take corresponding warning measures in time. The third-level early warning level and the second-level early warning level are both lower than the first-level early warning, but the third-level early warning level and the second-level early warning level are not limited in height.
Example four,
In order to avoid inaccurate position information reported by the mobile terminal due to system delay, the method further includes, outside the time from step S1 to step S3:
step S51, obtaining the position information of the terminal, and analyzing the corresponding time information from the position information;
and step S52, comparing the corresponding time information with the current actual time information, if the error exceeds a preset time threshold, returning to execute the step S51, and when the steps S51-S52 are continuously executed and exceed a preset time threshold, sending a third-stage early warning instruction, wherein the level of the third-stage early warning is lower than that of the first-stage early warning.
An embodiment of the present invention further provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions configured to perform a method according to an embodiment of the invention.
The embodiment of the invention also provides a computer-readable storage medium, and the computer instructions are used for executing the method of the embodiment of the invention.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A target early warning method is applied to a server and is characterized by comprising the following steps:
s1, acquiring a human body dynamic image of a target to be detected for living body detection, if the human body dynamic image passes the verification, executing S2, otherwise, performing first-level early warning;
step S2, receiving current position information of a target to be detected reported by a mobile terminal and base station information and/or wifi information which is currently connected with the mobile terminal;
step S3, whether the target to be detected is located within a preset position range is judged based on the current position information of the target and base station information and/or wifi information corresponding to a terminal reporting the current position information, and if not, first-level early warning is carried out.
2. The method of claim 1,
the step S3 includes:
step S301, judging whether the current position information is in a preset position range, if so, executing step S302, otherwise, performing first-level early warning;
step S302, obtaining base station list information and/or wifi list information within a preset distance range by taking the current position as a center from a preset database;
step S303, comparing the base station information and/or the wifi information corresponding to the terminal reporting the current position information with the base station list information and/or the wifi list information, judging whether the base station information and/or the wifi information completely exist in the base station list information and/or the wifi list information, and if not, performing primary early warning.
3. The method of claim 2,
the preset distance is 2000 meters.
4. The method of claim 1,
the step S3 includes:
step S311, determining whether base station information and/or wifi information corresponding to the terminal of the current location information reported by the mobile terminal is empty, and if so, executing step S312;
step S312, acquiring an app list of the terminal;
step S313, comparing the app list of the terminal with a preset app early warning list, if the app information in the app early warning list exists in the app list of the terminal, performing first-stage early warning, and if the app information in the app early warning list does not exist, performing second-stage early warning, wherein a plurality of app information capable of changing reported position information are stored in the app early warning list information, and the level of the second-stage early warning is lower than that of the first-stage early warning.
5. The method of claim 1,
besides the time for executing the steps S1-S3, the method further includes:
step S401, acquiring an app list of the terminal;
step S402, comparing the app list of the terminal with a preset app early warning list, and if at least one app information in the app early warning list exists in the app list, performing third-level early warning, wherein a plurality of app information capable of changing reported position information are stored in the app early warning list information, and the level of the third-level early warning is lower than that of the first-level early warning.
6. The method of claim 1,
besides the time for executing the steps S1-S3, the method further includes:
step S51, obtaining the position information of the terminal, and analyzing the corresponding time information from the position information;
and step S52, comparing the corresponding time information with the current actual time information, if the error exceeds a preset time threshold, returning to execute the step S51, and when the steps S51-S52 are continuously executed and exceed a preset time threshold, sending a third-stage early warning instruction, wherein the level of the third-stage early warning is lower than that of the first-stage early warning.
7. The method of claim 1,
the method further comprises the step of S0, installing a preset app on the terminal, wherein the preset app is provided with an SDK (software development kit), and the SDK is used for performing living body detection on the target to be detected, and acquiring the position information of the target to be detected, and the base station information and/or the wifi information.
8. The method of claim 1,
and S6, displaying the information of the target person to be detected and the corresponding early warning level on a display interface.
9. An electronic device, comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor, the instructions being arranged to perform the method of any of the preceding claims 1-8.
10. A computer-readable storage medium having stored thereon computer-executable instructions for performing the method of any of the preceding claims 1-8.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113326408A (en) * | 2021-06-30 | 2021-08-31 | 杭州云深科技有限公司 | Data processing system based on time aggregation and position aggregation |
| CN116319091A (en) * | 2023-05-18 | 2023-06-23 | 北京顶象技术有限公司 | Method and system for preventing attendance checking and card punching cheating |
| CN118966562A (en) * | 2024-09-30 | 2024-11-15 | 南通中讯新动企业管理有限公司 | An enterprise attendance management system |
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