CN113721299B - Subway security inspection mode configuration management method - Google Patents
Subway security inspection mode configuration management method Download PDFInfo
- Publication number
- CN113721299B CN113721299B CN202111015183.0A CN202111015183A CN113721299B CN 113721299 B CN113721299 B CN 113721299B CN 202111015183 A CN202111015183 A CN 202111015183A CN 113721299 B CN113721299 B CN 113721299B
- Authority
- CN
- China
- Prior art keywords
- contraband
- configuration
- image data
- current
- security inspection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000007689 inspection Methods 0.000 title claims abstract description 144
- 238000007726 management method Methods 0.000 title claims abstract description 18
- 238000003384 imaging method Methods 0.000 claims description 36
- 239000007788 liquid Substances 0.000 claims description 25
- 238000000034 method Methods 0.000 claims description 22
- 241000190070 Sarracenia purpurea Species 0.000 claims description 20
- 239000003086 colorant Substances 0.000 claims description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 230000008859 change Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 238000010200 validation analysis Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V5/00—Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity
- G01V5/20—Detecting prohibited goods, e.g. weapons, explosives, hazardous substances, contraband or smuggled objects
- G01V5/22—Active interrogation, i.e. by irradiating objects or goods using external radiation sources, e.g. using gamma rays or cosmic rays
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/02—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
- G01N23/04—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Business, Economics & Management (AREA)
- Geophysics (AREA)
- Human Resources & Organizations (AREA)
- Immunology (AREA)
- Pathology (AREA)
- High Energy & Nuclear Physics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Chemical & Material Sciences (AREA)
- Economics (AREA)
- Biochemistry (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
The invention discloses a subway security check mode configuration management method, which is applied to a subway security check judgment map system, wherein the subway security check judgment map system comprises an intelligent analyzer, an image processing device, a centralized judgment map subsystem, a package opening terminal and a security check supervision platform, and the subway security check hierarchical mode management method comprises the following steps: and classifying contraband in subway security inspection and carrying out level configuration on a security inspection grading mode. The invention guarantees different passing efficiencies for different time periods or under different situations by classifying contraband and presetting the confidence coefficient of the intelligent identification map, and has important significance.
Description
Technical Field
The invention relates to the technical field of security inspection, in particular to a subway security inspection mode configuration management method.
Background
Most of security inspection centralized graph judging system security inspection services at present generally only have one working mode, one working mode cannot cope with changeable service situations, the defect of working mode change can be made up only by increasing cost, and the utilization rate of security inspection resources and the working efficiency are not high. In addition, some security inspection centralized image judging systems exist, different working modes of the system can be set manually, and the working modes of the image judging systems are adjusted manually mainly according to information such as the number of backlog image judging tasks, the time for distributing the image judging tasks and the like. Or, the operator of the graph determining system may also manually arrange the adjustment of the working mode according to the historical change rule of the service state, the experience in the process of developing security check work, and the like. However, the workload of the map judging personnel and the field security check personnel cannot be effectively balanced, and the traffic efficiency and the riding safety cannot be effectively adjusted.
A centralized image judging system for security inspection and an automatic working mode switching control method thereof are disclosed in the patent with the application number of CN202011367948.2, and the method mainly collects real-time security inspection service data in the security inspection process; predicting the judging task pressure level of the safety inspection centralized judging system based on the change trend of the real-time safety inspection service data along with time; the invention sets working modes of different levels by the change trend of security inspection business data along with time instead of the category configuration of contraband.
Disclosure of Invention
The invention aims to provide a subway security check mode configuration management method, which can be used for guaranteeing different passing efficiencies for different time periods or different situations by classifying contraband and presetting confidence coefficients of intelligent identification maps of the contraband so as to solve the problems in the background art.
A subway security inspection mode configuration management method comprises the following steps:
s1: acquiring current image data, wherein the current image data comprises a current X-ray imaging picture, a current corresponding contraband class mark of the current X-ray imaging picture and a current corresponding confidence coefficient of contraband;
s2: and matching the current contraband class mark and the confidence corresponding to the current contraband in the current image data with the contraband class configuration and the confidence threshold configuration in the security inspection modes of different grades, and selecting to directly push the current image data to a package opening terminal or to a centralized judgment drawing subsystem according to the matching result.
SN: configuring security inspection modes of different levels, comprising:
the contraband category configuration and the confidence coefficient threshold configuration under different levels of security inspection modes are as follows:
in a first-level security inspection mode: the method comprises the following steps of configuring contraband categories in an X-ray imaging graph and confidence coefficient threshold values corresponding to different contraband categories in the X-ray imaging graph, and under a secondary security inspection mode: the method comprises the following steps that contraband class configuration in an X-ray imaging graph and confidence coefficient threshold configuration corresponding to different contraband classes in the X-ray imaging graph are carried out in a three-level security inspection mode: the method comprises the following steps of configuring contraband categories in an X-ray imaging graph and confidence coefficient threshold value configurations corresponding to different contraband categories in the X-ray imaging graph, \8230, and under an N-level security inspection mode: the method comprises the steps of configuring contraband categories in an X-ray imaging graph and configuring confidence coefficient threshold values corresponding to different contraband categories in the X-ray imaging graph.
Furthermore, the management method is applied to an image processing device of a subway security inspection centralized image judging system, wherein the subway security inspection centralized image judging system comprises an intelligent analyzer, an image processing device, a centralized image judging subsystem, a package opening terminal and a security inspection supervision platform;
the current image data is derived from an intelligent analyzer,
the contraband category configuration and the confidence coefficient threshold configuration are from a security inspection supervision platform or an image processing device;
and the security inspection supervision platform feeds back the contraband class configuration and the confidence coefficient threshold configuration to the image processing device.
Further, the different-level security check modes include a first-level security check mode, a second-level security check mode and a third-level security check mode:
in the primary security inspection mode, the contraband class configuration directly pushed to the unpacking terminal comprises guns, control cutters and water cup liquid, and the confidence coefficient threshold values of the guns, the control cutters and the water cup liquid are 80% in the peak flattening period and 90% in the peak peaking period;
in the secondary security inspection mode, the contraband category configuration directly pushed to the unpacking terminal comprises guns, control knives and water cup liquid, the confidence coefficient threshold values of the guns and the control knives are 80% in the peak balancing period and 90% in the peak balancing period, the confidence coefficient threshold values of the water cup liquid are 90% in the peak balancing period and 99% in the peak balancing period;
the third-level security inspection mode is characterized in that the contraband class configuration directly pushed to the package opening terminal comprises guns and control cutters, the confidence coefficient threshold values of the guns and the control cutters are 80% in the peak leveling period and 90% in the peak period, and water cups are not classified as the contraband class directly pushed to the package opening terminal.
Further, the different-level security check mode, when executing the first-level security check mode:
if the current image data contains contraband class marks and the corresponding contraband class marks are in accordance with the contraband classes directly pushed to the package opening terminal, and the confidence level of the corresponding contraband is greater than or equal to the confidence level threshold value corresponding to the contraband, pushing the current image data to the package opening terminal; if the confidence coefficient of the current corresponding contraband is smaller than the confidence coefficient threshold value corresponding to the contraband, pushing the current image data to the centralized judging map subsystem;
if the current image data contains contraband class marks and the corresponding current contraband class marks do not accord with the contraband class of the direct-pushing unpacking terminal, pushing the current image data to the centralized image judging subsystem;
and if no contraband class mark exists in the current image data, pushing the current image data to the centralized image judging subsystem.
Further, the different-level security inspection mode, when executing the secondary security inspection mode:
if the current image data contains contraband class marks and the current corresponding contraband class marks accord with the contraband classes directly pushed to the package opening terminal, and the confidence level of the current corresponding contraband is larger than or equal to the confidence level threshold value corresponding to the contraband, pushing the current image data to the package opening terminal; if the confidence level of the corresponding contraband is smaller than the confidence level threshold value corresponding to the contraband, pushing the current image data to the centralized image judgment subsystem;
if the current image data contains contraband class marks and the current corresponding contraband class marks do not accord with the contraband class of the direct-pushing package opening terminal, pushing the current image data to the centralized image judging subsystem;
and if no contraband class mark exists in the current image data, the current image data is not pushed to the centralized image judging subsystem.
Further, the different-level security inspection mode, when executing the three-level security inspection mode:
if the current image data contains contraband class marks and the current corresponding contraband class marks accord with the contraband classes directly pushed to the package opening terminal, and the confidence level of the current corresponding contraband is larger than or equal to the confidence level threshold value corresponding to the contraband, pushing the current image data to the package opening terminal; if the confidence coefficient of the current corresponding contraband is smaller than the confidence coefficient threshold value corresponding to the contraband, pushing the current image data to the centralized judging map subsystem;
if the current image data contains contraband class marks and the corresponding current contraband class marks do not accord with the contraband class of the direct-pushing unpacking terminal, pushing the current image data to the centralized image judging subsystem;
and if no contraband category mark exists in the current image data, the current image data is not pushed to the centralized image judging subsystem.
Further, the security inspection hierarchical mode supports the configuration of the security inspection hierarchical mode of the whole network line, the designated station and the designated security inspection point.
Further, the configuration of the security inspection hierarchical mode supports manual configuration and automatic configuration, the effective condition of the automatic configuration is automatically adjusted according to the total passenger flow number of the security inspection door of the security inspection point, the manual configuration also comprises default configuration, the automatic configuration is effective mainly and automatically adjusted according to the total passenger flow number of the security inspection door of the security inspection point (hereinafter referred to as the passenger flow number of the security inspection door), and when the passenger flow number of the security inspection door is less than 30 persons/minute (namely 1800 persons/hour), the primary security inspection mode is started; when the passenger flow of the security inspection door is more than or equal to 30 persons/minute (1800 persons/hour), and the passenger flow of the security inspection door is less than 35 persons/minute (2100 persons/hour), starting a secondary security inspection mode; and when the passenger flow of the security inspection door is more than or equal to 35 persons/minute (namely 2100 persons/hour), starting a three-level security inspection mode.
Furthermore, the alarm levels of different contraband categories can be configured, the security inspection grading mode configures the alarm levels of different contraband categories, and the different alarm levels are displayed through alarm lamps with different colors.
The invention has the following beneficial effects: different levels of security inspection modes are configured according to the categories of the contraband and the confidence degrees corresponding to the contraband of different categories, the traffic efficiency and the riding safety are balanced under different times or different conditions, and the working efficiency is improved.
Drawings
FIG. 1 is a flow chart of the operation of the present invention;
FIG. 2 is a matching flow chart of the present invention.
Detailed Description
The following description is provided to further explain the present disclosure in connection with the specific embodiments so as to enable those skilled in the art to understand the technical disclosure of the present disclosure.
The specific technical scheme is as follows: as shown in fig. 1 and 2, a method for managing a subway security inspection mode configuration includes: s1: acquiring current image data, wherein the current image data comprises a current X-ray imaging picture, a current corresponding contraband class mark of the current X-ray imaging picture and a current corresponding confidence coefficient of contraband; s2: and matching the current contraband class mark and the confidence corresponding to the current contraband in the current image data with the contraband class configuration and the confidence threshold configuration in the security inspection modes of different grades, and selecting to directly push the current image data to a package opening terminal or to a centralized judgment drawing subsystem according to the matching result.
The method also comprises the execution processes of contraband class configuration and confidence threshold configuration under different levels of security inspection modes, which are as follows: SN, configuring security inspection modes of different levels, configuring contraband categories and confidence thresholds in the security inspection modes of different levels as follows:
in a first-level security inspection mode: the method comprises the following steps of configuring contraband categories in an X-ray imaging graph and confidence coefficient threshold values corresponding to different contraband categories in the X-ray imaging graph, and under a secondary security inspection mode: the method comprises the following steps that contraband class configuration in an X-ray imaging graph and confidence coefficient threshold configuration corresponding to different contraband classes in the X-ray imaging graph are carried out in a three-level security inspection mode: the method comprises the following steps of I, configuring contraband categories in an X-ray imaging graph and confidence coefficient threshold value configurations corresponding to different contraband categories in the X-ray imaging graph, \8230, and in an N-level security inspection mode: the method comprises the steps of configuring contraband categories in an X-ray imaging graph and configuring confidence coefficient threshold values corresponding to different contraband categories in the X-ray imaging graph.
The management method is applied to an image processing device of a subway security inspection centralized image judging system, wherein the subway security inspection centralized image judging system comprises an intelligent analyzer, an image processing device, a centralized image judging subsystem, a package opening terminal and a security inspection supervision platform; the current image data is from an intelligent analyzer, and the contraband category configuration and the confidence coefficient threshold configuration are from a security inspection supervision platform or an image processing device; and the security inspection supervision platform feeds back the contraband category configuration and the confidence coefficient threshold configuration to the image processing device.
The different-grade security check modes comprise a first-grade security check mode, a second-grade security check mode and a third-grade security check mode:
the first-level security inspection mode directly pushes contraband class configuration of the unpacking terminal to comprise guns, control cutters and water cup liquid, confidence thresholds of the guns, the control cutters and the water cup liquid are 80% in a peak leveling period and 90% in a peak height period;
the secondary security inspection mode directly pushes the contraband class configuration of the unpacking terminal to comprise guns, control cutters and water cup liquid, the confidence threshold values of the guns and the control cutters are 80% in the peak-off period and 90% in the peak-up period, the confidence threshold values of the water cup liquid are 90% in the peak-off period and 99% in the peak-up period;
the third-level security inspection mode is characterized in that the contraband class configuration directly pushed to the package opening terminal comprises guns and control cutters, the confidence coefficient threshold values of the guns and the control cutters are 80% in the peak leveling period and 90% in the peak period, and water cups are not classified as the contraband class directly pushed to the package opening terminal.
The different-level security inspection mode is characterized in that when the first-level security inspection mode is executed:
if the current image data contains contraband class marks and the corresponding contraband class marks are in accordance with the contraband classes directly pushed to the package opening terminal, and the confidence level of the corresponding contraband is greater than or equal to the confidence level threshold value corresponding to the contraband, pushing the current image data to the package opening terminal; if the confidence level of the corresponding contraband is smaller than the confidence level threshold value corresponding to the contraband, pushing the current image data to the centralized image judgment subsystem;
if the current image data contains contraband class marks and the current corresponding contraband class marks do not accord with the contraband class of the direct-pushing package opening terminal, pushing the current image data to the centralized image judging subsystem;
and if no contraband class mark exists in the current image data, pushing the current image data to the centralized image judging subsystem.
When the different-grade security inspection mode is executed, the following steps are carried out:
if the current image data contains contraband class marks and the current corresponding contraband class marks accord with the contraband classes directly pushed to the package opening terminal, and the confidence level of the current corresponding contraband is larger than or equal to the confidence level threshold value corresponding to the contraband, pushing the current image data to the package opening terminal; if the confidence level of the corresponding contraband is smaller than the confidence level threshold value corresponding to the contraband, pushing the current image data to the centralized image judgment subsystem;
if the current image data contains contraband class marks and the current corresponding contraband class marks do not accord with the contraband class of the direct-pushing package opening terminal, pushing the current image data to the centralized image judging subsystem;
and if no contraband class mark exists in the current image data, the current image data is not pushed to the centralized image judging subsystem.
The different-grade security inspection modes are characterized in that when the three-grade security inspection mode is executed:
if the current image data contains contraband class marks and the current corresponding contraband class marks accord with the contraband classes directly pushed to the package opening terminal, and the confidence level of the current corresponding contraband is larger than or equal to the confidence level threshold value corresponding to the contraband, pushing the current image data to the package opening terminal; if the confidence coefficient of the current corresponding contraband is smaller than the confidence coefficient threshold value corresponding to the contraband, pushing the current image data to the centralized judging map subsystem;
if the current image data contains contraband class marks and the current corresponding contraband class marks do not accord with the contraband class of the direct-pushing package opening terminal, pushing the current image data to the centralized image judging subsystem;
and if no contraband category mark exists in the current image data, the current image data is not pushed to the centralized image judging subsystem.
The security inspection hierarchical mode supports the configuration of a security inspection hierarchical mode of a whole network cable, a designated line, a designated station and a designated security inspection point.
The configuration of the security inspection grading mode supports manual configuration and automatic configuration, the effective condition of the automatic configuration is automatically adjusted according to the total passenger flow number of the security inspection door of a security inspection point, and the manual configuration further comprises default configuration.
The alarm levels of different contraband categories can be configured, the security classification mode configures the alarm levels of different contraband categories, and the different alarm levels are displayed through alarm lamps with different colors.
Example (b): firstly, contraband existing in subway security inspection is classified, the specific classification condition is shown in the following table, and different alarm grades are displayed through alarm lamps with different colors, wherein a red alarm lamp is 1 grade, an orange alarm lamp is 2 grade, and a yellow alarm lamp is 3 grade.
The security inspection hierarchical mode management method supports the security inspection hierarchical mode configuration of managing a whole line network, an appointed line, an appointed station and an appointed security inspection point, can configure according to the difference of peak times of different subway stations, divides the security inspection level into 3 hierarchical modes of a primary security inspection mode, a secondary security inspection mode and a tertiary security inspection mode, and defines three security inspection modes of different levels according to the following conditions: the primary security check mode mainly aims at ensuring the riding safety to be prior, the secondary security check mode mainly aims at the appropriate balance of the passing efficiency and the riding safety, the tertiary security check mode mainly aims at ensuring the passing efficiency of passengers to be prior, and for example, the tertiary security check mode is usually adopted in the rush hour to ensure the co-operation efficiency of the passengers. And finally, configuring the contents of the primary security inspection mode, the secondary security inspection mode and the tertiary security inspection mode, wherein the configuration details are as follows: the method supports the configuration of alarm levels for different contraband categories, supports the configuration of whether the packet terminal is directly pushed or not for different contraband categories, namely, the intelligent recognition graph judges that the contraband is directly pushed or not, supports the configuration of confidence coefficients of the packet terminal is directly pushed or not for different contraband categories, namely, the intelligent recognition graph judges that the contraband is, and the packet terminal is directly pushed only if the confidence coefficient is greater than or equal to a specified threshold value. The confidence degree of directly pushing the packet terminal at the peak time is configured for different contraband categories, namely, the threshold value of the confidence degree can be further increased in order to improve the passing efficiency. When the contraband does not meet the conditions of the direct-push package opening terminal, whether the package X-ray imaging graph is pushed to the manual judgment graph or not is configured for different contraband categories (including no contraband), for example, when a first-level security inspection mode is configured, the intelligent analyzer does not recognize the manual judgment graph for the contraband pushing, and when a second-level security inspection mode and a third-level security inspection mode are configured, the intelligent analyzer does not recognize the manual judgment graph for the contraband pushing. The first-level security inspection mode, the second-level security inspection mode and the third-level security inspection mode support 2 modes of manual configuration validation and automatic configuration validation when configuration is in effect, automatic configuration validation is mainly carried out according to the total passenger flow number (hereinafter referred to as 'security inspection door passenger flow') of a security inspection door of a security inspection point, and when the passenger flow of the security inspection door is less than 30 persons/minute (namely 1800 persons/hour), the first-level security inspection mode is started; when the passenger flow of the security inspection door is more than or equal to 30 persons/minute (1800 persons/hour), and the passenger flow of the security inspection door is less than 35 persons/minute (2100 persons/hour), starting a secondary security inspection mode; when the passenger flow of the security inspection door is more than or equal to 35 persons/minute (namely 2100 persons/hour), a third-level security inspection mode is started.
When the primary security inspection mode is executed:
the image processing device is set to be in a primary security inspection mode, the intelligent analyzer outputs current image data, the current image data comprise a current X-ray imaging picture, a current gun, control knife or water cup liquid (contraband) category mark corresponding to the current X-ray imaging picture, confidence coefficients of the current gun, control knife or water cup liquid (contraband) corresponding to the current X-ray imaging picture and the current gun, control knife or water cup liquid (contraband), the confidence coefficients of the current gun, control knife or water cup liquid (contraband) are configured in a confidence coefficient threshold value of more than or equal to 80% in a flat peak period, and when the peak period is configured in a confidence coefficient threshold value of more than or equal to 90%, the current image data are directly pushed to the unpacking terminal; when the confidence coefficient of the liquid (contraband) of the gun, the controlled knife or the water cup corresponding to the current image is smaller than the preset confidence coefficient threshold value configuration, pushing the current image data containing the liquid of the gun, the controlled knife or the water cup to a centralized judging image subsystem;
when the intelligent analyzer does not judge the contraband, the current picture data is pushed to the centralized image judging subsystem;
when the secondary security check mode is executed:
the gun and the control knife are configured to be required to directly push the contraband category of the unpacking terminal, the image processing device is set to be in a primary security inspection mode, the intelligent analyzer outputs current picture data, the current picture data comprise a current X-ray imaging picture, a current corresponding gun and control knife (contraband) category mark thereof and confidence degrees of the current corresponding gun and control knife (contraband), the confidence degrees of the current corresponding gun and control knife (contraband) are configured at a confidence degree threshold value which is more than or equal to 80% in a peak-off period, and when the peak-off period is more than or equal to 90% in the confidence degree threshold value configuration, the current picture data are directly pushed to the unpacking terminal; when the confidence coefficient of the current corresponding gun and controlled tool (contraband) is smaller than the preset confidence coefficient threshold value configuration, the current picture data containing the gun and the controlled tool is pushed to the centralized judging picture subsystem;
the cup liquid is also configured to be contraband needing to be pushed to the package opening terminal, but the confidence of the cup liquid in the current picture data needs to be configured at a confidence threshold value which is greater than or equal to 90% in a flat peak period, and when the confidence threshold value is greater than or equal to 99% in a high peak period, the current picture data containing the cup liquid is pushed to the package opening terminal; when the confidence of the water cup liquid in the current picture data is smaller than the preset confidence threshold configuration, pushing the current picture data containing the water cup liquid to a centralized image judging subsystem;
the intelligent analyzer does not identify contraband, and the current picture data does not need to be pushed to the centralized judging picture subsystem;
when the three-level security inspection mode is executed:
the gun and the control knife are configured to be required to directly push the contraband category of the unpacking terminal, the image processing device is set to be in a primary security inspection mode, the intelligent analyzer outputs current picture data, the current picture data comprise a current X-ray imaging picture, a current corresponding gun and control knife (contraband) category mark thereof and confidence degrees of the current corresponding gun and control knife (contraband), the confidence degrees of the current corresponding gun and control knife (contraband) are configured at a confidence degree threshold value which is more than or equal to 80% in a peak-off period, and when the peak-off period is more than or equal to 90% in the confidence degree threshold value configuration, the current picture data are directly pushed to the unpacking terminal; when the confidence coefficient of the gun and the control knife (contraband) which correspond to the current image is smaller than the preset confidence coefficient threshold value configuration, pushing current image data containing the gun and the control knife to a centralized judging picture subsystem;
the cup liquid is not configured to be contraband needing to be pushed directly to the packet opening terminal, and the current picture data containing the cup liquid are all pushed to the centralized judging picture subsystem;
the intelligent analyzer does not identify contraband, and current picture data do not need to be pushed to the centralized image judging subsystem.
The key data indexes of the primary security inspection mode, the secondary security inspection mode and the tertiary security inspection mode are compared as shown in the following table:
in addition, the primary security inspection mode, the secondary security inspection mode and the tertiary security inspection mode are also provided with default configurations, and the modified time is recorded after manual configuration adjustment and the functions of resetting to the default configurations are achieved.
The default initial values of the primary security inspection mode are as follows:
the default initial values of the secondary security inspection mode are as follows:
the default initial values of the three-level security inspection mode are as follows:
the principle and embodiments of the present invention are described in detail by using specific examples, which are only used to help understanding the core technical content of the present invention, and are not used to limit the protection scope of the present invention, and the technical solution of the present invention is not limited to the above specific embodiments. Based on the above embodiments of the present invention, those skilled in the art should make any improvements and modifications to the present invention without departing from the principle of the present invention, and therefore, the present invention should fall into the protection scope of the present invention.
Claims (9)
1. A subway security inspection mode configuration management method is characterized by comprising the following steps:
s1: acquiring current image data, wherein the current image data comprises a current X-ray imaging picture, a current corresponding contraband class mark of the current X-ray imaging picture and a current corresponding confidence coefficient of contraband;
s2: matching the current contraband class mark and the confidence corresponding to the current contraband in the current image data with the contraband class configuration and the confidence threshold configuration in the security inspection modes of different grades, and directly pushing the current image data to a package opening terminal or a centralized image judging subsystem according to the matching result;
SN: configuring security inspection modes of different levels, comprising:
the contraband category configuration and the confidence coefficient threshold configuration under different levels of security inspection modes are as follows:
in a first-level security inspection mode: the method comprises the following steps of configuring contraband categories in an X-ray imaging graph and confidence coefficient threshold values corresponding to different contraband categories in the X-ray imaging graph, and under a secondary security inspection mode: the method comprises the following steps that contraband class configuration in an X-ray imaging graph and confidence coefficient threshold configuration corresponding to different contraband classes in the X-ray imaging graph are carried out in a three-level security inspection mode: the method comprises the following steps of I, configuring contraband categories in an X-ray imaging graph and confidence coefficient threshold value configurations corresponding to different contraband categories in the X-ray imaging graph, \8230, and in an N-level security inspection mode: the method comprises the steps of configuring contraband categories in an X-ray imaging graph and configuring confidence coefficient threshold values corresponding to different contraband categories in the X-ray imaging graph.
2. The management method according to claim 1, wherein the management method is applied to an image processing device of a subway security inspection centralized image judging system, and the subway security inspection centralized image judging system comprises an intelligent analyzer, an image processing device, a centralized image judging subsystem, an unpacking terminal and a security inspection supervision platform;
the current image data is from an intelligent analyzer;
the contraband category configuration and the confidence coefficient threshold configuration are from a security inspection supervision platform or an image processing device;
and the security inspection supervision platform feeds back the contraband class configuration and the confidence coefficient threshold configuration to the image processing device.
3. The management method according to claim 1, wherein the different levels of security inspection modes include a primary security inspection mode, a secondary security inspection mode, and a tertiary security inspection mode:
the first-level security inspection mode directly pushes contraband class configuration of the unpacking terminal to comprise guns, control cutters and water cup liquid, confidence thresholds of the guns, the control cutters and the water cup liquid are 80% in a peak leveling period and 90% in a peak height period;
the secondary security inspection mode directly pushes the contraband class configuration of the unpacking terminal to comprise guns, control cutters and water cup liquid, the confidence threshold values of the guns and the control cutters are 80% in the peak-off period and 90% in the peak-up period, the confidence threshold values of the water cup liquid are 90% in the peak-off period and 99% in the peak-up period;
the third-level security inspection mode is characterized in that the contraband class configuration directly pushed to the package opening terminal comprises guns and control cutters, the confidence coefficient threshold values of the guns and the control cutters are 80% in the peak leveling period and 90% in the peak period, and water cups are not classified as the contraband class directly pushed to the package opening terminal.
4. The management method according to claim 1, wherein the different-level security check mode, when executing a first-level security check mode:
if the current image data contains contraband class marks and the current corresponding contraband class marks conform to the contraband class configuration directly pushed to the package opening terminal, and the confidence level of the current corresponding contraband is greater than or equal to the confidence level threshold configuration corresponding to the contraband, pushing the current image data to the package opening terminal; if the confidence level of the current corresponding contraband is smaller than the confidence level threshold configuration corresponding to the contraband, pushing the current image data to the centralized image judgment subsystem;
if the current image data contains contraband class marks and the corresponding current contraband class marks do not accord with the contraband class configuration of the direct-pushing unpacking terminal, pushing the current image data to the centralized image judging subsystem;
and if no contraband class mark exists in the current image data, pushing the current image data to the centralized image judging subsystem.
5. The method of claim 1, wherein the different level security mode, when executing the secondary security mode:
if the current image data contains contraband class marks and the current corresponding contraband class marks conform to the contraband class configuration directly pushed to the package opening terminal, and the confidence level of the current corresponding contraband is greater than or equal to the confidence level threshold configuration corresponding to the contraband, pushing the current image data to the package opening terminal; if the confidence level of the current corresponding contraband is smaller than the confidence level threshold configuration corresponding to the contraband, pushing the current image data to the centralized image judgment subsystem;
if the current image data contains contraband class marks and the corresponding current contraband class marks do not accord with the contraband class configuration of the direct-pushing unpacking terminal, pushing the current image data to the centralized image judging subsystem;
and if no contraband category mark exists in the current image data, the current image data is not pushed to the centralized image judging subsystem.
6. The management method according to claim 1, wherein the different-level security check mode, when executing a three-level security check mode:
if the current image data contains contraband class marks and the corresponding contraband class marks are in accordance with the contraband class configuration which is directly pushed to the package opening terminal, and the confidence level of the corresponding contraband is greater than or equal to the confidence level threshold configuration corresponding to the contraband, pushing the current image data to the package opening terminal; if the confidence coefficient of the current corresponding contraband is smaller than the confidence coefficient threshold configuration corresponding to the contraband, pushing the current image data to the centralized judging map subsystem;
if the current image data contains contraband class marks and the current corresponding contraband class marks do not conform to the contraband class configuration of the direct-pushing package opening terminal, pushing the current image data to the centralized image judging subsystem;
and if no contraband class mark exists in the current image data, the current image data is not pushed to the centralized image judging subsystem.
7. The management method according to claim 1, wherein the security classification mode supports a security classification mode configuration of a whole network line, a specified site, and a specified security point.
8. The management method according to claim 1, wherein the configuration of the security classification mode supports manual configuration and automatic configuration, the effective condition of the automatic configuration is automatically adjusted according to the total passenger flow number of the security door of the security point, and the manual configuration further comprises setting of default configuration.
9. The method of claim 1, wherein the alarm levels of different contraband categories are further configurable, and the security classification mode configures the alarm levels of different contraband categories, which are displayed by alarm lamps of different colors.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111015183.0A CN113721299B (en) | 2021-08-31 | 2021-08-31 | Subway security inspection mode configuration management method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111015183.0A CN113721299B (en) | 2021-08-31 | 2021-08-31 | Subway security inspection mode configuration management method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113721299A CN113721299A (en) | 2021-11-30 |
| CN113721299B true CN113721299B (en) | 2023-01-10 |
Family
ID=78680107
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111015183.0A Active CN113721299B (en) | 2021-08-31 | 2021-08-31 | Subway security inspection mode configuration management method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113721299B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115147964B (en) * | 2022-06-29 | 2023-09-26 | 中铁第四勘察设计院集团有限公司 | Multi-element information security inspection method, system, computer equipment and readable medium |
| CN115565274B (en) * | 2022-12-06 | 2023-03-10 | 成都智元汇信息技术股份有限公司 | Ticket checking method and system for reducing split sales amount of security check ratio and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN206671223U (en) * | 2017-04-11 | 2017-11-24 | 西安培华学院 | Luggage separate system and the contraband safety check apparatus using the system |
| CN108229449A (en) * | 2018-02-23 | 2018-06-29 | 华讯方舟科技有限公司 | A kind of parallel type human body security check system |
| CN110543857A (en) * | 2019-09-05 | 2019-12-06 | 安徽启新明智科技有限公司 | Contraband identification method, device and system based on image analysis and storage medium |
| CN110865415A (en) * | 2018-08-28 | 2020-03-06 | 浙江大华技术股份有限公司 | Security inspection method and device |
| CN111443100A (en) * | 2020-05-12 | 2020-07-24 | 北京声迅电子股份有限公司 | Centralized image judging system for security inspection based on intelligent identification technology |
| CN112016387A (en) * | 2019-07-08 | 2020-12-01 | 杭州芯影科技有限公司 | Contraband identification method and device suitable for millimeter wave security check instrument |
| CN112712093A (en) * | 2021-01-11 | 2021-04-27 | 中国铁道科学研究院集团有限公司电子计算技术研究所 | Security check image identification method and device, electronic equipment and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7738687B2 (en) * | 2005-04-07 | 2010-06-15 | L-3 Communications Security And Detection Systems, Inc. | Method of registration in a contraband detection system |
-
2021
- 2021-08-31 CN CN202111015183.0A patent/CN113721299B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN206671223U (en) * | 2017-04-11 | 2017-11-24 | 西安培华学院 | Luggage separate system and the contraband safety check apparatus using the system |
| CN108229449A (en) * | 2018-02-23 | 2018-06-29 | 华讯方舟科技有限公司 | A kind of parallel type human body security check system |
| CN110865415A (en) * | 2018-08-28 | 2020-03-06 | 浙江大华技术股份有限公司 | Security inspection method and device |
| CN112016387A (en) * | 2019-07-08 | 2020-12-01 | 杭州芯影科技有限公司 | Contraband identification method and device suitable for millimeter wave security check instrument |
| CN110543857A (en) * | 2019-09-05 | 2019-12-06 | 安徽启新明智科技有限公司 | Contraband identification method, device and system based on image analysis and storage medium |
| CN111443100A (en) * | 2020-05-12 | 2020-07-24 | 北京声迅电子股份有限公司 | Centralized image judging system for security inspection based on intelligent identification technology |
| CN112712093A (en) * | 2021-01-11 | 2021-04-27 | 中国铁道科学研究院集团有限公司电子计算技术研究所 | Security check image identification method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113721299A (en) | 2021-11-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113721299B (en) | Subway security inspection mode configuration management method | |
| CN109359098B (en) | System and method for monitoring scheduling data network behaviors | |
| CN103812577A (en) | Method for automatically identifying and learning abnormal radio signal type | |
| CN104331710A (en) | On-off state recognition system | |
| CN103338349A (en) | Intelligent mass video signal screening and display access method based on VW and system based on VW | |
| CN112564278A (en) | Relay protection fault information sorting and electronic reporting system and method | |
| CN102333002A (en) | Method and device for sorting alarms | |
| CN105446242B (en) | A kind of smart machine automatic recognition system | |
| CN104751285A (en) | Accuracy judgment and warning system for front-end collected data in automation of electric network management | |
| CN110062393A (en) | A kind of network difference cell intelligent analysis method | |
| CN113691629A (en) | Internet of things data management system based on block chain and edge calculation | |
| CN116934259A (en) | Work management system applied to intelligent illumination | |
| CN111756642A (en) | Network traffic scheduling system and method based on DPI and machine learning | |
| CN113888866B (en) | Road vehicle management system with multistage early warning function | |
| CN113038397B (en) | Full-automatic short message channel scheduling method and system | |
| CN115296193A (en) | Intelligent inspection system and method for transformer substation | |
| CN106488480B (en) | Work order engine implementation method and device | |
| CN113360628A (en) | Network repair event layered maintenance method and system based on problem knowledge base | |
| CN114069871A (en) | Substation silent monitoring and scheduling system and method | |
| CN209134434U (en) | A kind of integrated data network managing and control system | |
| CN113472640A (en) | Intelligent gateway information processing method and system | |
| CN106204391A (en) | A kind of system being applied to administrative law-enforcement departments' routine monitoring | |
| CN110995650A (en) | Multi-terminal checking early warning system based on industrial control base line | |
| CN115101067B (en) | Smart power grids voice system based on blockchain technique | |
| CN110881032B (en) | Identification method and device for unauthorized account operation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |