CN111243057A - Campus personnel flow track drawing method - Google Patents
Campus personnel flow track drawing method Download PDFInfo
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- 238000010191 image analysis Methods 0.000 claims abstract description 28
- 230000008676 import Effects 0.000 claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims description 9
- 230000003287 optical effect Effects 0.000 claims description 9
- 230000005856 abnormality Effects 0.000 claims description 6
- 230000005021 gait Effects 0.000 claims description 6
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Abstract
The invention provides a campus personnel flow trajectory drawing method, and relates to the technical field of campus security. The campus staff flow track drawing method comprises a camera set, an image acquisition unit, an image analysis unit, a central processing unit, a track generation unit, a report printing unit, a data import unit, a training and learning unit, an abnormity reminding unit and an information downloading unit, wherein the camera set is connected with the image acquisition unit, the image acquisition unit is connected with the image analysis unit, and the image analysis unit, the track generation unit, the abnormity reminding unit and the information downloading unit are all connected with the central processing unit. According to the invention, through the cooperation of the camera set, the image acquisition unit, the image analysis unit, the central processing unit, the track generation unit and the like, the moving track of each person entering the campus can be drawn, so that whether the person is suspicious or not can be analyzed, the problem can be found in time, and a plurality of unnecessary potential safety hazards are avoided.
Description
Technical Field
The invention relates to the technical field of campus security, in particular to a campus personnel flow trajectory drawing method.
Background
Campus, meaning various scenes and their buildings in universities, colleges or school campuses; the school land can be called as a campus within the range of school teaching land or living land; the campus is divided into a kindergarten, a primary school campus, a middle school campus and a high school campus; the school safety work is an important component of the safety work of the whole society. It is directly related to whether teenagers can grow safely and healthily, and to the happiness and the peace of mind and social stability of millions of families.
Campus personnel are a huge group, and large-flow personnel enter and exit every day, wherein the personnel are not mixed in the campus, the personnel may have certain threat to the safety of the campus, and although a camera is arranged at an inlet and an outlet of the campus, the moving track of each personnel in the campus cannot be determined, so that suspicious problems cannot be found in time.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a campus staff flow trajectory drawing method, which solves the defects and shortcomings in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a campus personnel flow track drawing method comprises a camera set, an image acquisition unit, an image analysis unit, a central processing unit, a track generation unit, a report printing unit, a data import unit, a training learning unit, an abnormality reminding unit and an information downloading unit, wherein the camera set is connected with the image acquisition unit, the image acquisition unit is connected with the image analysis unit, the track generation unit, the abnormality reminding unit and the information downloading unit are all connected with the central processing unit, and the report printing unit, the data import unit and the training learning unit are all connected with the track generation unit;
the track drawing method comprises the following steps:
s1, driving a camera set to collect images of all persons entering a campus at different positions in real time by using an image collection unit, and then sending all the obtained images to an image analysis unit by the image collection unit, wherein the image analysis unit classifies all the images of the same person;
s2, sending the sorted personnel images to a central processing unit by an image analysis unit, numbering each different personnel by the central processing unit, setting an image library for each personnel, putting the images received in real time into the corresponding image libraries according to the numbers, and marking the receiving time of the images at two intervals and the position of each image by the central processing unit;
s3, the central processing unit sends the images in each image library and the time and the position of the acquired images to the track generation unit in real time, the track generation unit draws the personnel moving track related to the time and the position by taking the time and the position as two coordinate axes in a plane, and then the walking moving route track of each person in the campus can be printed by the report printing unit;
s4, importing the manually drawn personnel movement track into a data importing unit, comparing the track drawn by the track generating unit with the manually drawn track, analyzing the difference between the two by a training learning unit, establishing a related drawing algorithm according to the training learning unit, and correcting the defects of the training learning unit;
and S5, when the track drawn by the track generation unit has suspicious behaviors, the central processing unit immediately drives the abnormity reminding unit to give an alarm, and simultaneously, the information downloading unit can download the access information of the campus personnel.
Preferably, the camera group is composed of a plurality of cameras with an AI face recognition function, and the plurality of cameras are respectively installed in all activity areas of the campus, such as the entrance and exit of the campus, each building, and the playground.
Preferably, the image analysis unit comprises a face analysis module, a posture analysis module and a gait analysis module, and the image analysis unit analyzes the face, the posture and the gait of each image when receiving one image, and accurately judges the classification of the image.
Preferably, the abnormity warning unit is connected with an optical warning device and an acoustic warning device, and the optical warning device and the acoustic warning device perform optical warning and acoustic warning simultaneously.
Preferably, the information downloading unit is further connected with an identity recognition unit, the identity recognition unit comprises a fingerprint authentication module, a password authentication module and a face authentication module, and when a worker enters the information downloading unit to download data, the worker needs to pass three items of authentication of the fingerprint authentication module, the password authentication module and the face authentication module.
Preferably, the central processing unit is further connected with a display unit, and the display unit is used for displaying a moving track, a person image and the like.
(III) advantageous effects
The invention provides a campus staff flow trajectory drawing method. The method has the following beneficial effects:
1. according to the campus personnel flow track drawing method, the moving track of each personnel entering a campus can be drawn through the cooperation of the camera set, the image acquisition unit, the image analysis unit, the central processing unit, the track generation unit and the like, so that whether the personnel have suspiciousness or not is analyzed, problems can be found in time, and a lot of unnecessary potential safety hazards are avoided.
2. According to the campus staff flow track drawing method, the track generation unit can learn by itself through the cooperation of the data import unit, the training learning unit, the track generation unit and the like, so that the track drawing accuracy is greatly improved.
Drawings
FIG. 1 is a schematic block diagram of the present invention;
FIG. 2 is a schematic diagram of an image analysis unit according to the present invention;
FIG. 3 is a schematic diagram of an identification unit according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
as shown in fig. 1-3, an embodiment of the present invention provides a campus staff flow trajectory drawing method, where the trajectory drawing method includes a camera set, an image acquisition unit, an image analysis unit, a central processing unit, a trajectory generation unit, a report printing unit, a data import unit, a training learning unit, an abnormality prompting unit, and an information download unit, the camera set is connected to the image acquisition unit, the image acquisition unit is connected to the image analysis unit, the trajectory generation unit, the abnormality prompting unit, and the information download unit are all connected to the central processing unit, and the report printing unit, the data import unit, and the training learning unit are all connected to the trajectory generation unit;
the track drawing method comprises the following steps:
s1, driving a camera set to collect images of all persons entering a campus at different positions in real time by using an image collection unit, and then sending all the obtained images to an image analysis unit by the image collection unit, wherein the image analysis unit classifies all the images of the same person;
s2, sending the sorted personnel images to a central processing unit by an image analysis unit, numbering each different personnel by the central processing unit, setting an image library for each personnel, putting the images received in real time into the corresponding image libraries according to the numbers, and marking the receiving time of the images at two intervals and the position of each image by the central processing unit;
s3, the central processing unit sends the images in each image library and the time and the position of the acquired images to the track generation unit in real time, the track generation unit draws a person moving track related to time and position by taking the time and the position as two coordinate axes in a plane, the person moving track in the campus can be printed by recording the in-out time or the staying time of the person, and then the walking moving route track of each person in the campus can be printed by the report printing unit;
s4, importing the manually drawn personnel movement track into a data importing unit, comparing the track drawn by the track generating unit with the manually drawn track, analyzing the difference between the two by a training learning unit, establishing a related drawing algorithm according to the training learning unit, and correcting the defects of the training learning unit;
and S5, when the track drawn by the track generation unit has suspicious behaviors, the central processing unit immediately drives the abnormity reminding unit to give an alarm, and simultaneously, the information downloading unit can download the access information of the campus personnel.
The camera group consists of a plurality of cameras with AI face recognition function, and the plurality of cameras are respectively installed in all the activity areas of the campus, such as the entrance and exit of the campus, each building, the playground and the like.
The image analysis unit comprises a face analysis module, a posture analysis module and a gait analysis module, and when the image analysis unit receives one image, the face, the posture and the gait of the image are analyzed, the classification of the image is accurately judged, and the problems that a person changes the wearing, shields the face and the like can be prevented.
The abnormity reminding unit is connected with an optical alarm device and an acoustic alarm device, and optical alarm and acoustic alarm are simultaneously carried out through the optical alarm device and the acoustic alarm device, so that workers can find the abnormity reminding unit in time.
The information downloading unit is further connected with an identity recognition unit, the identity recognition unit comprises a fingerprint authentication module, a password authentication module and a face authentication module, and workers entering the information downloading unit need to pass three items of authentication of the fingerprint authentication module, the password authentication module and the face authentication module to download data, so that the information safety is improved.
The central processing unit is also connected with a display unit, and the display unit is used for displaying a moving track, a personnel image and the like.
According to the invention, through the cooperation of the camera set, the image acquisition unit, the image analysis unit, the central processing unit, the track generation unit and the like, the moving track of each person entering the campus can be drawn, so that whether the person is suspicious or not can be analyzed, the problem can be found in time, and a plurality of unnecessary potential safety hazards are avoided; through the cooperation between the data import unit, the training learning unit and the track generation unit, the track generation unit can learn by itself, and therefore the accuracy of track drawing is greatly improved.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A campus personnel flow track drawing method is characterized by comprising the following steps: the track drawing method comprises a camera set, an image acquisition unit, an image analysis unit, a central processing unit, a track generation unit, a report printing unit, a data import unit, a training learning unit, an abnormality reminding unit and an information downloading unit, wherein the camera set is connected with the image acquisition unit, the image acquisition unit is connected with the image analysis unit, the track generation unit, the abnormality reminding unit and the information downloading unit are all connected with the central processing unit, and the report printing unit, the data import unit and the training learning unit are all connected with the track generation unit;
the track drawing method comprises the following steps:
s1, driving a camera set to collect images of all persons entering a campus at different positions in real time by using an image collection unit, and then sending all the obtained images to an image analysis unit by the image collection unit, wherein the image analysis unit classifies all the images of the same person;
s2, sending the sorted personnel images to a central processing unit by an image analysis unit, numbering each different personnel by the central processing unit, setting an image library for each personnel, putting the images received in real time into the corresponding image libraries according to the numbers, and marking the receiving time of the images at two intervals and the position of each image by the central processing unit;
s3, the central processing unit sends the images in each image library and the time and the position of the acquired images to the track generation unit in real time, the track generation unit draws the personnel moving track related to the time and the position by taking the time and the position as two coordinate axes in a plane, and then the walking moving route track of each person in the campus can be printed by the report printing unit;
s4, importing the manually drawn personnel movement track into a data importing unit, comparing the track drawn by the track generating unit with the manually drawn track, analyzing the difference between the two by a training learning unit, establishing a related drawing algorithm according to the training learning unit, and correcting the defects of the training learning unit;
and S5, when the track drawn by the track generation unit has suspicious behaviors, the central processing unit immediately drives the abnormity reminding unit to give an alarm, and simultaneously, the information downloading unit can download the access information of the campus personnel.
2. The campus personnel flow trajectory drawing method of claim 1, wherein: the camera group consists of a plurality of cameras with AI face recognition function, and the plurality of cameras are respectively installed in all the activity areas of the campus, such as the entrance and exit of the campus, each building, the playground and the like.
3. The campus personnel flow trajectory drawing method of claim 1, wherein: the image analysis unit comprises a face analysis module, a body state analysis module and a gait analysis module, and when the image analysis unit receives one image, the face, the body state and the gait of the image are analyzed at the same time, and the classification of the image is accurately judged.
4. The campus personnel flow trajectory drawing method of claim 1, wherein: the abnormity reminding unit is connected with an optical alarm device and an acoustic alarm device, and performs optical alarm and acoustic alarm simultaneously through the optical alarm device and the acoustic alarm device.
5. The campus personnel flow trajectory drawing method of claim 1, wherein: the information downloading unit is further connected with an identity recognition unit, the identity recognition unit comprises a fingerprint authentication module, a password authentication module and a face authentication module, and workers entering the information downloading unit to download data need to be authenticated through the fingerprint authentication module, the password authentication module and the face authentication module.
6. The campus personnel flow trajectory drawing method of claim 1, wherein: the central processing unit is also connected with a display unit, and the display unit is used for displaying a moving track, a personnel image and the like.
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| CN202010065976.2A CN111243057A (en) | 2020-01-20 | 2020-01-20 | Campus personnel flow track drawing method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113378014A (en) * | 2021-06-04 | 2021-09-10 | 江苏新智合电力技术有限公司 | Campus personal carbon footprint evaluation method and system |
| CN113379366A (en) * | 2021-04-27 | 2021-09-10 | 福建依时利软件股份有限公司 | Campus positioning attendance management method, device, equipment and medium |
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