CN116363596A - Campus security management system and method based on face recognition - Google Patents

Campus security management system and method based on face recognition Download PDF

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CN116363596A
CN116363596A CN202310486602.1A CN202310486602A CN116363596A CN 116363596 A CN116363596 A CN 116363596A CN 202310486602 A CN202310486602 A CN 202310486602A CN 116363596 A CN116363596 A CN 116363596A
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escape
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information
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赵正辉
蒲飞
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Chongqing Medical and Pharmaceutical College
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    • Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
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Abstract

The invention relates to the technical field of campus security and discloses a campus security management system and method based on face recognition, wherein the campus security management system comprises a server, and the server comprises a fire monitoring module, an image acquisition module, a judgment module, a notice reminding module and a path planning module; the attention item reminding module is used for judging whether the student is an excellent student for exercise according to the retrieved escape exercise data, if not, attention item reminding information is immediately sent to the student end of the student, and the attention item reminding information comprises the escape step; the path planning module is used for identifying the position information of the student according to the image information of the monitoring area after the student is an excellent student for exercise or sends notice reminding information to the student end of the student, planning an escape path according to the position information and sending the corresponding escape path to the student end of the student.

Description

Campus security management system and method based on face recognition
Technical Field
The invention relates to the technical field of campus security, in particular to a campus security management system and method based on face recognition.
Background
When a fire disaster occurs, timely escape is very important, particularly in places where people such as schools are dense, once students in the schools cannot escape timely, the corresponding consequences are very serious, so that timely evacuation of the students is very important when the fire disaster occurs.
In general, when a fire occurs in a building, a fire alarm system informs people in the building of the occurrence of the fire in a voice broadcast manner to ask for escape as soon as possible, however, people are crowded and not aware of a clear escape route, so that the people easily miss the escape opportunity to get unfortunate.
In order to solve the above problems, the existing fire alarm system also plans an escape path, and of course, the escaper needs to be informed of the escape requirement in the planning process, so that the escaper can follow the escape of the escape path required for escaping, and the escape rate of the escaper can be ensured, so that the escaper needs to receive the escape requirement and the escape path before safely escaping, and the corresponding escape preparation time is longer.
Disclosure of Invention
The technical problem to be solved by the invention is to provide the campus safety management system and the campus safety management method based on face recognition, which can solve the problem that in the prior art, an evacuee has long escape preparation time when determining the escape direction, so that the evacuee can determine the escape direction as soon as possible and escape safely.
The basic scheme provided by the invention is as follows: the campus security management system based on face recognition comprises a server, wherein the server comprises:
the fire monitoring module is used for monitoring whether fire occurs in the school or not;
the image acquisition module is used for acquiring images of the current monitoring area when the fire disaster in the school is monitored, and generating corresponding monitoring area image information;
the judging module is used for judging whether students exist in the current monitoring area according to the generated monitoring area image information, and identifying the identity information of the students if the students exist in the current monitoring area;
the calling module is used for calling escape exercise data corresponding to the identity information from the database after the identity information of the student is identified;
the notice reminding module is used for judging whether the student is an excellent student for exercise according to the retrieved escape exercise data, if not, immediately sending notice reminding information to the student end of the student, wherein the notice reminding information comprises escape steps;
the path planning module is used for identifying the position information of the student according to the image information of the monitoring area after the student is an excellent student for exercise or sends notice reminding information to the student end of the student, planning an escape path according to the position information and sending the corresponding escape path to the student end of the student.
The principle and the advantages of the invention are as follows: in the scheme, firstly, a fire disaster detection module is used for monitoring whether a fire disaster or a flood disaster occurs in a school, when the occurrence of the fire disaster in the school is monitored, an image acquisition module is used for acquiring images of a current monitoring area at the first time, the image acquisition module is arranged in each place of the school, and the monitoring of each place of the school is realized as much as possible. And judging whether students exist in the current monitoring area or not through the acquired image information of the monitoring area, identifying the identity information of the students when the students are identified to exist in the current monitoring area, namely judging the basic information of the students, and then calling escape exercise data corresponding to the identity information from a database according to the basic information, wherein the overall performance of the students in the process of fire exercise escape can be analyzed through the escape exercise data, whether the students are excellent students or not, namely facing excellent students, the students can directly carry out planning and sending of escape paths without sending attention item reminding information, for example, when a fire disaster occurs, the students need to cover an oral cavity and bend down for going forward, and when the fire disaster occurs, the students with excellent exercises can normally respond to the corresponding attention items, so that reminding can be omitted when the fire disaster occurs, the students with the escape path can be planned more quickly, and the escape efficiency of the class is greatly improved.
However, when not the excellent student of exercise, they can also cover the nose and the mouth and bend down to go forward, but may have the denominator or be applied with a certain place in the concrete implementation, so if they are not reminded, the accident may be caused, so facing the students, the first time sends notice reminding information, the students can know the standard of escape at the first time, the possibility of escape can be improved, that is, the problem that the evacuee has long escape preparation time when the evacuee determines the escape direction in the prior art can be solved, so that the evacuee can determine the escape direction as soon as possible, and the evacuee can escape safely.
Further, the judging module is further used for judging whether a place spread by fire exists in the current monitoring area according to the image information of the monitoring area;
the server side further comprises:
the disaster condition determining module is used for retrieving image information of other monitoring areas corresponding to the places where the fire disaster is spread in the current monitoring area after the student is an excellent student for exercise or the attention item reminding information is sent to the student end of the student, predicting the spreading route of the fire disaster according to the image information of the monitoring areas, and generating a corresponding fire disaster spreading path;
the path analysis module is used for judging whether an intersection exists between the fire spread path and the escape path according to the fire spread path and judging whether the time required for the fire spread path to reach the intersection exists or not, and judging whether the predicted spread time is smaller than a preset time threshold value or not if the predicted spread time is smaller than the preset time threshold value, and immediately re-planning the escape path if the predicted spread time is smaller than the preset time threshold value.
The beneficial effects are that: in the scheme, after the image information of the monitoring areas is acquired, each monitoring area can judge whether the monitoring area has a place for fire spread or not, so that whether each monitoring area has a fire disaster in a school or not can be known, the fire disaster in the school can be comprehensively monitored according to the fire disaster spread condition of each monitoring area, the spread path of the fire disaster can be more accurately predicted, the rationality of the escape path of a student can be judged according to the path for fire disaster spread, whether the corresponding fire disaster spread path and the escape path have an intersection point or not is judged, once the fire disaster spread time is immediately predicted, the time for the fire disaster spread to reach the intersection point is judged, if the fire disaster spread time is smaller than a preset time threshold value, the escape path is immediately planned again, the safety of the student is greatly improved, and the student can not safely escape according to the escape path because the corresponding fire disaster spread when the student escapes in the escape path.
Further, the server side further includes:
the position information acquisition module is used for acquiring the position information of the intersection point when judging that the intersection point exists between the fire spreading path and the escape path, and generating corresponding intersection point position information;
the combustion-supporting substance analysis module is used for analyzing and identifying the condition of the combustion-supporting substance corresponding to the position information of the intersection point of the fire spreading path according to the position information of the intersection point, the fire spreading path and the image information of the monitoring area corresponding to the fire spreading path, and generating corresponding condition information of the combustion-supporting substance;
the dynamic adjustment module is used for dynamically adjusting the preset time threshold according to the position information of the intersection point, the combustion supporting object condition information on the fire spreading path and the escape exercise data of the students.
The beneficial effects are that: in the scheme, when judging that an intersection exists between the fire spreading path and the escape path, namely, the situation of the combustion-supporting object on the path is analyzed and identified according to the intersection position information, the fire spreading path and the monitoring area image information on the path, so that the situation information of the combustion-supporting object is analyzed, and the speed or time corresponding to the intersection position can be accurately judged through the data, so that the preset time threshold can be dynamically adjusted, the corresponding judgment result is more accurate and practical, and the safety of the students on the escape path is favorably ensured.
Further, the judging module is further used for judging whether student aggregation exists in the current monitoring area according to the generated monitoring area image information;
the server side further comprises:
the processing module is used for identifying the behaviors and expressions of all students according to the information in the image information of the monitoring area when judging that the students gather in the current monitoring area, and judging whether all the students in the current monitoring area escape or not;
and the comparison module is used for comparing and judging the escape exercise data of each student when judging that each student in the current monitoring area is not escaping, judging the identity information corresponding to the student with the best escape exercise data and sending command information to the student end of the student.
The beneficial effects are that: in the scheme, considering that students may gather at some time, for example, gather at one place, at the moment, the students may gather at the place without respective escape, and once the number of the gathered students is relatively large, the corresponding scenes are relatively confusing, the student with the best escape exercise data is judged by identifying the identities of the students, and command information is sent to the student end of the student, so that the student can command the scene relatively quickly after receiving the command information, the student can be calm as much as possible, and the safety of the student can be ensured as much as possible.
Further, the server side further comprises an alarm module, and the alarm module is used for alarming the current monitoring area when the current monitoring area is judged to have the fire spread.
The beneficial effects are that: the fire disaster warning can be carried out in no current monitoring area, so that students can judge whether the monitoring area to be entered has fire disaster or not according to corresponding warning sounds when escaping, early warning can be carried out according to the information, and life safety of the students in the escaping process can be better protected.
The invention also provides a campus security management method based on face recognition, and the campus security management system based on face recognition is used.
Drawings
Fig. 1 is a logic block diagram of a campus security management system based on face recognition in a first embodiment of the present invention.
Detailed Description
The following is a further detailed description of the embodiments:
an example is substantially as shown in figure 1: the campus security management system based on face recognition comprises a server, wherein the server comprises:
the fire monitoring module is used for monitoring whether fire occurs in the school or not; in this embodiment, the fire monitoring module monitors fire in the whole school, which can be monitored by artificial alarm, or can be set in every place.
The image acquisition module is used for acquiring images of the current monitoring area when the fire disaster in the school is monitored, and generating corresponding monitoring area image information; in this embodiment, the image acquisition module is mainly a camera, and real-time monitoring is performed through the monitoring areas of the camera.
The judging module is used for judging whether students exist in the current monitoring area according to the generated monitoring area image information, and identifying the identity information of the students if the students exist in the current monitoring area;
the judging module is also used for judging whether a place spread by fire exists in the current monitoring area according to the image information of the monitoring area;
the calling module is used for calling escape exercise data corresponding to the identity information from the database after the identity information of the student is identified;
the notice reminding module is used for judging whether the student is an excellent student for exercise according to the retrieved escape exercise data, if not, immediately sending notice reminding information to the student end of the student, wherein the notice reminding information comprises escape steps;
the path planning module is used for identifying the position information of the student according to the image information of the monitoring area after the student is an excellent student for exercise or sends notice reminding information to the student end of the student, planning an escape path according to the position information and sending the corresponding escape path to the student end of the student.
In this embodiment, the monitoring area image information is collected in real time, and these monitoring area images are analyzed and judged, so as to determine whether there is a student in the current monitoring area, once it is detected that the student appears in the monitoring area, the identity information of the student is identified through face recognition at the first time, then the escape exercise data of the student is called, and whether the student is an excellent student of exercise is judged through the escape exercise data, that is, if yes, the student can skip directly when taking notice reminding, and the planning of escape paths and the sending of corresponding planning paths are directly carried out, so that the escape speed of the class of students is greatly improved, the students can be better helped to escape, and the problem that the response of escape paths is slow is greatly avoided. For example, the same monitoring area respectively identifies the classmate A and the classmate B, but the escape exercise data corresponding to the classmate A is excellent, so that the student is an excellent student, and the classmate B is not, then in the subsequent process, the service end can directly conduct escape route planning of the classmate A and send the planned route to the classmate A, so that the A can escape timely, after all, the classmate A can timely pay attention to the escaping process in case of fire, for example, the operation of acquiring wet towels is conducted at the first time, and various irregular operations can appear when the corresponding classmate B possibly breaks out, so that escape of the student is affected, and reminding of the attention at the first time, for example, finding wet towels, bending down to advance, the best distance between the heads and the like can be ensured, and the smooth progress of the classmate B in the escaping process can be ensured.
Further comprises:
the disaster condition determining module is used for retrieving image information of other monitoring areas corresponding to the places where the fire disaster is spread in the current monitoring area after the student is an excellent student for exercise or the attention item reminding information is sent to the student end of the student, predicting the spreading route of the fire disaster according to the image information of the monitoring areas, and generating a corresponding fire disaster spreading path;
the path analysis module is used for judging whether an intersection exists between the fire spread path and the escape path according to the fire spread path and judging whether the time required for the fire spread path to reach the intersection exists or not, and judging whether the predicted spread time is smaller than a preset time threshold value or not if the predicted spread time is smaller than the preset time threshold value, and immediately re-planning the escape path if the predicted spread time is smaller than the preset time threshold value.
The position information acquisition module is used for acquiring the position information of the intersection point when judging that the intersection point exists between the fire spreading path and the escape path, and generating corresponding intersection point position information;
the combustion-supporting substance analysis module is used for analyzing and identifying the condition of the combustion-supporting substance corresponding to the position information of the intersection point of the fire spreading path according to the position information of the intersection point, the fire spreading path and the image information of the monitoring area corresponding to the fire spreading path, and generating corresponding condition information of the combustion-supporting substance;
the dynamic adjustment module is used for dynamically adjusting the preset time threshold according to the position information of the intersection point, the combustion supporting object condition information on the fire spreading path and the escape exercise data of the students.
In this embodiment, in order to ensure that students will not collide with fire in the escape process, it is determined whether an intersection exists between the escape route and the fire spreading route at the first time, if so, the time required for the fire to reach the intersection is predicted to determine whether the corresponding predicted spreading time is less than a preset time threshold, if so, the route is unsafe, and if so, the students may have a fire risk when moving to the intersection, and path re-planning is performed at the first time.
Of course, the preset time threshold is related to various factors, so that in order to more accurately judge the preset time threshold, analysis is performed according to the corresponding position information of the intersection point, the fire spreading path and or the image information of the monitoring area on the spreading path, so as to know the condition of the combustion supporting matters on the fire spreading path, and then the preset time threshold is dynamically adjusted according to the data.
Further comprises:
the processing module is used for identifying the behaviors and expressions of all students according to the information in the image information of the monitoring area when judging that the students gather in the current monitoring area, and judging whether all the students in the current monitoring area escape or not;
and the comparison module is used for comparing and judging the escape exercise data of each student when judging that each student in the current monitoring area is not escaping, judging the identity information corresponding to the student with the best escape exercise data and sending command information to the student end of the student.
And the alarm module is used for alarming the current monitoring area when the judgment result shows that the current monitoring area has the place spread by the fire disaster.
Of course, the problem of student aggregation still exists in the corresponding monitoring area, and once aggregation occurs, the students can not escape again, or the scene is confusing, so that the situation is not known, in order to ensure the safety of the students under the circumstance, whether the students escape or not can be analyzed at the first time, and the short-term aggregation of the students is possible, and the situation indicates that the students escape or die, and once the situation is not possible, the student with the best escape exercise data can be found at the first time, so that the student can conduct command, and the safety of the students on the scene can be better ensured.
The embodiment also provides a campus security management method based on face recognition, and the campus security management system based on face recognition is applied.
The foregoing is merely exemplary of the present invention, and the specific structures and features well known in the art are not described in any way herein, so that those skilled in the art will be able to ascertain all prior art in the field, and will not be able to ascertain any prior art to which this invention pertains, without the general knowledge of the skilled person in the field, before the application date or the priority date, to practice the present invention, with the ability of these skilled persons to perfect and practice this invention, with the help of the teachings of this application, with some typical known structures or methods not being the obstacle to the practice of this application by those skilled in the art. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.

Claims (6)

1. The campus security management system based on face recognition is characterized in that: the server comprises a server, wherein the server comprises:
the fire monitoring module is used for monitoring whether fire occurs in the school or not;
the image acquisition module is used for acquiring images of the current monitoring area when the fire disaster in the school is monitored, and generating corresponding monitoring area image information;
the judging module is used for judging whether students exist in the current monitoring area according to the generated monitoring area image information, and identifying the identity information of the students if the students exist in the current monitoring area;
the calling module is used for calling escape exercise data corresponding to the identity information from the database after the identity information of the student is identified;
the notice reminding module is used for judging whether the student is an excellent student for exercise according to the retrieved escape exercise data, if not, immediately sending notice reminding information to the student end of the student, wherein the notice reminding information comprises escape steps;
the path planning module is used for identifying the position information of the student according to the image information of the monitoring area after the student is an excellent student for exercise or sends notice reminding information to the student end of the student, planning an escape path according to the position information and sending the corresponding escape path to the student end of the student.
2. The face recognition-based campus security management system of claim 1, wherein: the judging module is also used for judging whether a place spread by fire exists in the current monitoring area according to the image information of the monitoring area;
the server side further comprises:
the disaster condition determining module is used for retrieving image information of other monitoring areas corresponding to the places where the fire disaster is spread in the current monitoring area after the student is an excellent student for exercise or the attention item reminding information is sent to the student end of the student, predicting the spreading route of the fire disaster according to the image information of the monitoring areas, and generating a corresponding fire disaster spreading path;
the path analysis module is used for judging whether an intersection exists between the fire spread path and the escape path according to the fire spread path and judging whether the time required for the fire spread path to reach the intersection exists or not, and judging whether the predicted spread time is smaller than a preset time threshold value or not if the predicted spread time is smaller than the preset time threshold value, and immediately re-planning the escape path if the predicted spread time is smaller than the preset time threshold value.
3. The face recognition-based campus security management system of claim 2, wherein: the server side further comprises:
the position information acquisition module is used for acquiring the position information of the intersection point when judging that the intersection point exists between the fire spreading path and the escape path, and generating corresponding intersection point position information;
the combustion-supporting substance analysis module is used for analyzing and identifying the condition of the combustion-supporting substance corresponding to the position information of the intersection point of the fire spreading path according to the position information of the intersection point, the fire spreading path and the image information of the monitoring area corresponding to the fire spreading path, and generating corresponding condition information of the combustion-supporting substance;
the dynamic adjustment module is used for dynamically adjusting the preset time threshold according to the position information of the intersection point, the combustion supporting object condition information on the fire spreading path and the escape exercise data of the students.
4. A face recognition based campus security management system according to claim 3, wherein: the judging module is also used for judging whether student aggregation exists in the current monitoring area according to the generated monitoring area image information;
the server side further comprises:
the processing module is used for identifying the behaviors and expressions of all students according to the information in the image information of the monitoring area when judging that the students gather in the current monitoring area, and judging whether all the students in the current monitoring area escape or not;
and the comparison module is used for comparing and judging the escape exercise data of each student when judging that each student in the current monitoring area is not escaping, judging the identity information corresponding to the student with the best escape exercise data and sending command information to the student end of the student.
5. The face recognition-based campus security management system of claim 4, wherein: the server side further comprises an alarm module, and the alarm module is used for alarming the current monitoring area when the judgment result shows that the current monitoring area has the place spread by the fire disaster.
6. A campus security management method based on face recognition is characterized by comprising the following steps: a campus security management system based on face recognition using any one of the preceding claims 1-5.
CN202310486602.1A 2023-04-28 2023-04-28 Campus security management system and method based on face recognition Pending CN116363596A (en)

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Application Number Priority Date Filing Date Title
CN202310486602.1A CN116363596A (en) 2023-04-28 2023-04-28 Campus security management system and method based on face recognition

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Application Number Priority Date Filing Date Title
CN202310486602.1A CN116363596A (en) 2023-04-28 2023-04-28 Campus security management system and method based on face recognition

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