CN115482611A - Self-service security check channel flow control system based on video analysis - Google Patents
Self-service security check channel flow control system based on video analysis Download PDFInfo
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- CN115482611A CN115482611A CN202210923246.0A CN202210923246A CN115482611A CN 115482611 A CN115482611 A CN 115482611A CN 202210923246 A CN202210923246 A CN 202210923246A CN 115482611 A CN115482611 A CN 115482611A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/10—Movable barriers with registering means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30242—Counting objects in image
Abstract
The invention relates to a self-service security check channel flow control system based on video analysis, which comprises a video monitoring analysis unit, a flow control unit and a flow control unit, wherein the video monitoring analysis unit is used for acquiring a real-time video picture of a monitored area, counting the number of passengers in the current picture once every preset time period, and calculating the number of passengers staying in a channel in real time; the self-service security check gate control unit is used for receiving the channel real-time number information sent by the video monitoring and analyzing unit and positioning the information to the corresponding self-service security check gate; and the management background is used for connecting the video monitoring and analyzing unit and the self-service security check gate control unit and controlling the video monitoring and analyzing unit and the self-service security check gate control unit. The invention has the advantages that: the number of passengers staying in the security inspection passage can be adjusted by dynamically switching the on-inspection/off-inspection state of the gate. The number of the guide posts at the front end of the security check self-service gate is reduced, the operation cost of the airport is reduced, and no humanization is really realized.
Description
Technical Field
The invention relates to a self-service security inspection channel flow control system based on video analysis, and belongs to the field of security inspection verification of passengers in civil transport airports.
Background
With the rapid development of economy in China, the passenger flow volume of an airport is continuously increased, and the improvement of the security inspection efficiency of the airport is imperative. Self-service is verified in security check is one of the important modes of improving security check efficiency, and the existence of self-service security check gates can be seen at the front end of security check channels in various large airports nowadays. The security inspection floodgate can not only improve the security inspection speed, can reduce personnel's cost moreover. The release rate of the security check gate is higher than the passing efficiency of the following security check channel baggage inspection and search links, so that passengers are often jammed in the security check channel. In order to maintain order, people need to guide passengers at the front end of the security check gate, when passengers are detained in the security check channel, the passengers are prevented from continuing self-service verification, and when the security check channel is unblocked, the passengers are guided to continue self-service verification. Although a security inspector is reduced, a front-end guider is added, the meaning of reducing the personnel cost is not reflected, and the self-service gate machine equipment needs manual intervention assistance, so that the self-service degree is insufficient.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a self-service security inspection channel flow control system based on video analysis, and the technical scheme of the invention is as follows:
a self-service security check channel flow control system based on video analysis comprises a video monitoring analysis unit, a self-service security check gate control unit and a video monitoring analysis unit, wherein the video monitoring analysis unit is used for acquiring a real-time video picture of a monitored area, counting the number of people in the current picture once every preset time period, calculating the number of people staying in a channel in real time, and pushing the number of people in the picture and the current corresponding channel to the self-service security check gate control unit through a message middleware;
the self-service security inspection gate control unit is used for receiving the channel real-time number information sent by the video monitoring analysis unit and positioning the channel real-time number information to the corresponding self-service security inspection gate, and the self-service security inspection gate is switched between a closed inspection state and an open inspection state according to the number information through the self-service security inspection gate control unit;
the management background is used for connecting the video monitoring analysis unit and the self-service security check gate control unit and controlling the video monitoring analysis unit and the self-service security check gate control unit; the self-service security inspection gate machine is configured with a maximum threshold value of the number of people and a minimum threshold value of the number of people through the management background.
The maximum number of people that the monitoring area can accommodate is used as the maximum number of people threshold, and the monitoring area is also provided with the minimum number of people threshold; when the number of people in the monitored area is more than or equal to the maximum threshold of the number of people, the automatic security inspection gate is switched to a closed inspection state; when the number of people in the monitored area is more than or equal to the minimum threshold value of the number of people, the security inspection gate is automatically switched to an on-inspection state.
The method comprises the steps that before recognition is started, a Haar feature classifier model is trained by the aid of OpenCV, in order to guarantee accuracy of image recognition, the head and shoulder parts of a human body are selected as human body target features, samples of the feature classifier come from screenshots of monitoring videos of channels, and after the feature classifier is trained for preset time by the aid of OpenCV, the model for detecting the human body features is obtained; and extracting frames in the video stream once every 5 seconds, detecting the frames by using the trained human body characteristic model, counting the number of detected target characteristics, namely the number of people in the image, and pushing the number of people to the self-service security gate control unit.
The video monitoring and analyzing unit counts the number of people in the current picture once every 10 seconds, and pushes the number of people in the picture and the current corresponding channel data to the self-service security gate control unit through the message middleware ActiveMQ.
A self-service security check channel flow control method based on video analysis comprises the following steps:
s1, acquiring a real-time video picture of a monitoring area, counting the number of passengers in the current picture once every preset time period, calculating the number of passengers staying in a channel in real time, and pushing the number of passengers in the picture and the current corresponding channel to a self-service security gate control unit through a message middleware;
s2, receiving the sent channel real-time number information, and positioning the information to a corresponding self-service security check gate, wherein the self-service security check gate switches between a closed check state and an open check state according to the number information through a self-service security check gate control unit; when the number of people in the monitored area is more than or equal to the maximum threshold of the number of people, the automatic security inspection gate is switched to a closed inspection state; and when the number of people in the monitored area is more than or equal to the minimum threshold value of the number of people, automatically switching the security inspection gate to an on-inspection state.
The invention has the advantages that: the video monitoring and analyzing unit (camera) is installed at the front end of the security check channel, the area from the entrance of the security check channel to the security check channel safety door is shot, and the number of passengers staying in the current area is analyzed based on videos. And when the number of the detained people is greater than a set high threshold value, a check closing instruction is sent to the security check gate to prevent the passengers from passing. And when the number of the detained people is less than the set low threshold value, a detection opening instruction is sent to the security check gate to allow the passengers to pass. The invention can effectively reduce the personnel cost, practically improve the intelligent degree of the self-service security check gate and realize the self-service security check verification of passengers without manual intervention. The number of passengers staying in the security inspection passage can be adjusted by dynamically switching the on-inspection/off-inspection state of the gate. The number of the guide posts at the front end of the security check self-service gate is reduced, the operation cost of the airport is reduced, and no humanization is really realized.
Drawings
FIG. 1 is a schematic diagram of the system architecture of the present invention.
Fig. 2 is a schematic view at the channel of the present invention.
FIG. 3 is a schematic flow diagram of the method of the present invention.
Detailed Description
The invention will be further described with reference to specific embodiments, and the advantages and features of the invention will become apparent as the description proceeds. These examples are illustrative only and do not limit the scope of the present invention in any way. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention, and that such changes and modifications may be made without departing from the spirit and scope of the invention.
Referring to fig. 1 to 3, the invention relates to a self-service security inspection channel flow control system based on video analysis, which comprises a video monitoring analysis unit 1, a self-service security inspection gate control unit and a video monitoring analysis unit, wherein the video monitoring analysis unit is used for acquiring a real-time video picture of a monitored area, counting the number of passengers in the current picture once every preset time period, calculating the number of passengers staying in a channel in real time, and pushing the number of passengers in the picture and the current corresponding channel to the self-service security inspection gate control unit through a message middleware;
the self-service security check gate control unit 2 is used for receiving the channel real-time number information sent by the video monitoring and analyzing unit and positioning the information to the corresponding self-service security check gate, and the self-service security check gate switches between a closed check state and an open check state according to the number information through the self-service security check gate control unit;
the management background 3 is used for connecting the video monitoring analysis unit and the self-service security check gate control unit and controlling the video monitoring analysis unit and the self-service security check gate control unit; the self-service security inspection gate configures a maximum threshold value of the number of people and a minimum threshold value of the number of people through a management background.
The maximum number of people which can be accommodated in the monitoring area is used as the maximum number of people threshold, and the monitoring area is also provided with the minimum number of people threshold; when the number of people in the monitored area is more than or equal to the maximum threshold of the number of people, the automatic security inspection gate is switched to a closed inspection state; when the number of people in the monitored area is more than or equal to the minimum threshold value of the number of people, the security inspection gate is automatically switched to an on-inspection state.
The method comprises the steps that before recognition is started, a Haar feature classifier model is trained by the aid of OpenCV, in order to guarantee accuracy of image recognition, the head and shoulder parts of a human body are selected as human body target features, samples of the feature classifier come from screenshots of monitoring videos of channels, and after the feature classifier is trained for preset time by the aid of OpenCV, the model for detecting the human body features is obtained; and extracting frames in the video stream once every 5 seconds, detecting the frames by using the trained human body characteristic model, counting the number of detected target characteristics, namely the number of people in the image, and pushing the number of people to the self-service security gate control unit.
The video monitoring and analyzing unit counts the number of people in the current picture once every 10 seconds, and pushes the number of people in the picture and the current corresponding channel data to the self-service security gate control unit through the message middleware ActiveMQ.
The invention also relates to a self-service security inspection channel flow control method based on video analysis, which comprises the following steps:
s1, acquiring a real-time video picture of a monitored area, counting the number of passengers in the current picture once at intervals of a preset time period, calculating the number of passengers staying in a channel in real time, and pushing the number of passengers in the picture and the current corresponding channel to a self-service security inspection gate control unit through a message middleware;
s2, receiving the sent channel real-time number information, and positioning the information to a corresponding self-service security check gate, wherein the self-service security check gate switches between a closed check state and an open check state according to the number information through a self-service security check gate control unit; when the number of people in the monitored area is more than or equal to the maximum threshold of the number of people, the automatic security inspection gate is switched to a closed inspection state; and when the number of people in the monitored area is more than or equal to the minimum threshold value of the number of people, automatically switching the security inspection gate to an on-inspection state.
According to the invention, the video monitoring and analyzing unit is arranged at the front end of the security check channel, the area from the entrance of the security check channel to the security check channel safety door is shot, and the number of passengers staying in the current area is analyzed based on the video. And when the number of the detained people is greater than a set high threshold value, a check closing instruction is sent to the security check gate to prevent the passengers from passing. And when the number of the detained people is less than the set low threshold value, issuing a detection opening instruction to the security check gate to allow the passengers to pass. The personnel cost is effectively reduced, the intelligent degree of the self-service security check gate is practically improved, the self-service security check verification of passengers without manual intervention is achieved, and the number of passengers staying in a security check channel is adjusted by dynamically switching the on-check/off-check states of the gate.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (5)
1. A self-service security inspection channel flow control system based on video analysis is characterized in that,
the video monitoring and analyzing unit is used for acquiring a real-time video picture of a monitored area, counting the number of passengers in the current picture once every preset time period, calculating the number of passengers staying in a channel in real time, and pushing the number of passengers in the picture and the current corresponding channel to the self-service security gate control unit through the message middleware;
the self-service security check gate control unit is used for receiving the channel real-time number information sent by the video monitoring and analyzing unit and positioning the information to the corresponding self-service security check gate, and the self-service security check gate switches between a closed check state and an open check state according to the number information through the self-service security check gate control unit;
the management background is used for connecting the video monitoring and analyzing unit and the self-service security check gate control unit and controlling the video monitoring and analyzing unit and the self-service security check gate control unit; the self-service security inspection gate machine is configured with a maximum threshold value of the number of people and a minimum threshold value of the number of people through the management background.
2. The self-service security inspection channel flow control system based on video analysis as claimed in claim 1, wherein the maximum number of people that can be accommodated in the monitoring area is taken as a maximum number of people threshold, and the minimum number of people threshold is further set in the monitoring area; when the number of people in the monitored area is more than or equal to the maximum threshold of the number of people, the automatic security inspection gate is switched to a closed inspection state; and when the number of people in the monitored area is more than or equal to the minimum threshold value of the number of people, automatically switching the security inspection gate to an on-inspection state.
3. The self-service security inspection channel flow control system based on video analysis as claimed in claim 1 or 2, wherein the video monitoring analysis unit utilizes OpenCV to train a Haar feature classifier model before starting the recognition, in order to ensure the accuracy of image recognition, the head and shoulder parts of the human body are selected as human body target features, samples of the feature classifier are from the screenshot of the monitoring video of the channel, and after the feature classifier is trained for a preset time by using OpenCV, a model for detecting human body features is obtained; and extracting frames in the video stream every 5 seconds, detecting the frames by using the trained human body characteristic model, counting the number of detected target characteristics, namely the number of people in the image, and pushing the number of people to the self-service security inspection gate control unit.
4. The self-service security inspection channel flow control system based on video analysis according to claim 1 or 2, wherein the video monitoring analysis unit counts the number of people in the current picture once every 10 seconds, and pushes the number of people in the picture and the current corresponding channel data to the self-service security inspection gate control unit through a message middleware ActiveMQ.
5. A self-service security check channel flow control method based on video analysis is characterized by comprising the following steps:
s1, acquiring a real-time video picture of a monitoring area, counting the number of passengers in the current picture once every preset time period, calculating the number of passengers staying in a channel in real time, and pushing the number of passengers in the picture and the current corresponding channel to a self-service security gate control unit through a message middleware;
s2, receiving the sent channel real-time number information, and positioning the information to a corresponding self-service security check gate, wherein the self-service security check gate switches between a closed check state and an open check state according to the number information through a self-service security check gate control unit; when the number of people in the monitored area is more than or equal to the maximum threshold of the number of people, the automatic security inspection gate is switched to a closed inspection state; when the number of people in the monitored area is more than or equal to the minimum threshold value of the number of people, the security inspection gate is automatically switched to an on-inspection state.
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| CN117830958A (en) * | 2024-03-04 | 2024-04-05 | 罗普特科技集团股份有限公司 | Passenger clearance and weather detection management method and device and electronic equipment |
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