CN117557965B - Campus monitoring method and device based on intelligent pole, computer equipment and medium - Google Patents
Campus monitoring method and device based on intelligent pole, computer equipment and medium Download PDFInfo
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Abstract
The invention discloses a campus monitoring method based on an intelligent pole, which comprises the following steps: acquiring real-time image information in a monitoring area through a video monitoring module, and determining whether a first face recognition result of a gate recognition area and/or a second face recognition result of an enclosing wall recognition area in the real-time image information are acquired through a preset image recognition algorithm in an intelligent gateway; if the first face recognition result is the staff in the school and the recognition time is within the preset irregular access time period, generating and displaying first alarm information; if the first face recognition result is not the staff in the school and intrudes into the early warning recognition area, generating, displaying and broadcasting second warning information; if the second face recognition result is located in the crossing early warning recognition area, third warning information is generated, displayed and broadcast, and the third warning information is sent to the background server. The method improves the response speed to the emergency in the campus and the pertinence of handling the emergency.
Description
Technical Field
The invention relates to the technical field of intelligent campuses, in particular to a campuses monitoring method, device, computer equipment and medium based on an intelligent rod.
Background
The personnel activity density in the campus is high, and the personnel distribution is also scattered. In the existing monitoring to the internal condition of the campus, the real-time monitoring to the internal condition of the campus is often carried out by setting a manual sentry or a mobile patrol mode. Even the existing monitoring camera only has the function of acquiring image information, but the specific conditions reflected in the image cannot be controlled, and the monitoring image cannot be checked all-weather by manpower in real time. When some emergency (such as when a gate is not rushed or a fence is overturned), the related processing departments cannot quickly and timely learn the position and severity of the emergency, and further, the emergency in the campus cannot be timely found and pertinently treated, so that a large potential safety hazard is easily caused, and adverse effects are generated on daily work and study of teachers and students.
Disclosure of Invention
The embodiment of the invention provides a campus monitoring method, device, computer equipment and medium based on an intelligent pole, which aim to solve the problem that emergency situations in a campus cannot be timely known and processed in a targeted manner by related processing departments in the prior art method, and have larger potential safety hazards.
In a first aspect, an embodiment of the present invention provides a campus monitoring method based on a smart rod, which is applied to a smart rod disposed in a campus, where the smart rod includes a main rod, a smart gateway, a video monitoring module, an LED display module, and a broadcasting module, the smart gateway is disposed in the main rod, the video monitoring module, the LED display module, and the broadcasting module are all disposed on the main rod, and the video monitoring module, the LED display module, and the broadcasting module are all connected with the smart gateway, and the method includes:
acquiring real-time image information in a monitoring area through the video monitoring module, and determining whether a first face recognition result of a gate recognition area and/or a second face recognition result of a wall recognition area in the real-time image information are acquired through a preset image recognition algorithm in the intelligent gateway;
if the obtained first face recognition result is stored in a preset face database and the first recognition time of the first face recognition result is within a preset irregular access time period, generating first alarm information corresponding to the first face recognition result; the first alarm information indicates that a special access event occurs currently;
The LED display module is used for displaying the first alarm information and sending the first alarm information to a background server;
if the acquired first face recognition result is determined not to be stored in a preset face database and is positioned in an intrusion early warning recognition area in the gate recognition area, generating second warning information corresponding to the first face recognition result; the second alarm information indicates that an intrusion event occurs currently;
the second alarm information is played through the broadcasting module, and the second alarm information of the current first face recognition result is displayed through the LED display module;
if the acquired second face recognition result is determined to be positioned in the crossing early warning recognition area in the enclosing wall recognition area, generating third warning information corresponding to the second face recognition result; the third alarm information indicates that a wall-crossing event currently occurs;
the third warning information is played through the broadcasting module, the third warning information of the current second face recognition result is displayed through the LED display module, and meanwhile the third warning information is sent to a background server;
And storing the first face recognition result and the second face recognition result into an early warning library.
In a second aspect, an embodiment of the present invention provides a campus monitoring device based on a smart rod, configured on a smart rod disposed in a campus, where the smart rod includes a main rod, a smart gateway, a video monitoring module, an LED display module, and a broadcasting module, where the smart gateway is disposed in the main rod, the video monitoring module, the LED display module, and the broadcasting module are all disposed on the main rod, and the video monitoring module, the LED display module, and the broadcasting module are all connected with the smart gateway.
In a third aspect, an embodiment of the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the smart rod-based campus monitoring method described above when executing the computer program.
In a fourth aspect, embodiments of the present invention provide a computer readable storage medium storing a computer program comprising program instructions that, when executed by a processor, cause the processor to perform the smart rod-based campus monitoring method described above.
It can be seen that in the campus monitoring method based on the intelligent pole provided by the embodiment of the invention, the video monitoring module is used for acquiring the real-time image information in the monitoring area in real time, intelligently identifying the face recognition results of the gate recognition area and the wall recognition area in the real-time image information, intelligently determining the type of the emergency occurring at the moment according to the states of the face recognition results in the gate recognition area and the wall recognition area, displaying the alarm information corresponding to the emergency through the LED display module, and simultaneously playing the alarm information through the broadcasting module and timely stopping the emergency, and directly sending the alarm information to the background server to prompt the campus security department to react so as to rapidly and timely realize the processing of the emergency and improve the response speed to the emergency and the pertinence of handling the emergency.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of an application scenario of a campus monitoring method based on a smart rod according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a smart rod-based campus monitoring method according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a sub-flow of a smart rod-based campus monitoring method provided by an embodiment of the present invention;
fig. 4 is a schematic block diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Referring to fig. 1 and fig. 2, fig. 1 is a schematic application scenario diagram of a campus monitoring method based on a smart rod according to an embodiment of the present invention, and fig. 2 is a schematic flowchart of the campus monitoring method based on a smart rod according to an embodiment of the present invention. The campus monitoring method based on the intelligent pole is applied to the intelligent pole.
For clarity of presentation, the smart lever is described below.
Referring to fig. 1, the smart pole according to the embodiment of the present invention is a pole-shaped device disposed at various places inside a campus, and integrates a smart gateway 12, a video monitoring module 13, an LED display module 14, and a broadcasting module 15. The intelligent gateway 12 can collect and calculate data locally, and preset algorithms such as preset image recognition algorithm can be pre-packaged inside the intelligent gateway 12. The intelligent gateway 12 is connected with the video monitoring module 13, the LED display module 14 and the broadcasting module 15, and is capable of receiving real-time image information from the video monitoring module 13 in real time, and sending data to the LED display module 14 and the broadcasting module 15, and enabling the LED display module 14 to display related data or enabling the broadcasting module 15 to play the related data. The video monitoring module 13 is provided with a video image acquisition device which is installed on the main rod 11 in the intelligent rod, and can continuously acquire real-time image information of a monitoring area in a certain range around the intelligent rod, and the video monitoring module 13 can also adjust shooting angles to acquire real-time image information of different monitoring areas. The LED display module 14 is arranged outside the main rod 11, and information displayed on the LED display module can be intuitively observed by pedestrians in a campus, so that effective information transfer is realized. The broadcasting module 15 is provided with a speaker device capable of broadcasting the corresponding content in response to the data transmitted from the smart gateway 12. Meanwhile, the intelligent gateway 12 is still connected with the background server 20, the background server 20 can interact with the intelligent gateway 12, and background personnel can receive information sent by the intelligent gateway 12 through the background server 20. The wisdom pole can set up many inside the campus to can all set up in each region in the campus, the video monitoring module 13 in each wisdom pole all is responsible for monitoring a monitoring area, with the inside condition of all-round monitoring campus. The wisdom pole especially can set up in the both sides of road to install lighting module additional and throw light on, play the effect of street lamp when carrying out campus monitoring.
Fig. 2 is a schematic flow chart of a campus monitoring method based on a smart pole according to an embodiment of the present invention. As shown, the method includes the following steps S110-S170.
S110, acquiring real-time image information in a monitoring area through the video monitoring module, and determining whether a first face recognition result of a gate recognition area and/or a second face recognition result of a fence recognition area in the real-time image information are acquired through a preset image recognition algorithm in the intelligent gateway; if it is determined that the first face recognition result is obtained, step S120 is executed; if it is determined that the second face recognition result is obtained, step S180 is executed; and if the first face recognition result and the second face recognition result are not obtained, determining that the related emergency does not occur currently.
The video monitoring module monitors a monitoring area pointed by the current video image acquisition equipment in real time, acquires real-time image information in real time and sends the real-time image information to the intelligent gateway in a fixed time frequency. The preset image recognition algorithm pre-packaged in the intelligent gateway can recognize the human face in the real-time image information. In the real-time image information, a gate calibrating identification area and an enclosure wall identification area are preset, the gate calibrating identification area refers to the position of a gate in a monitoring area, the enclosure wall identification area refers to the position of an enclosure wall in the monitoring area, and the gate calibrating identification area and the enclosure wall identification area can be identified by a preset image identification algorithm. When the intelligent gateway recognizes that the face exists in the school gate recognition area, the face is determined to be a first face recognition result; when the intelligent gateway recognizes that the face exists in the enclosing wall recognition area, the face is determined to be a second face recognition result. Specifically, the school gate identification area can include the whole school gate, the area that is close to the inside one side of campus in the whole school gate and the area that is close to the outside one side of campus in the school gate, and the enclosure identification area also corresponds including the whole enclosure, the area that is close to the outside one side of campus in the whole enclosure and the area that is close to the inside one side of campus in the whole enclosure. In specific recognition, if face information is acquired in a gate recognition area or an area close to the outside of the campus in a fence recognition area and stored in a preset face database, and meanwhile, the student is in a teaching period currently, information can be sent to a background server to prompt that the student is likely to go out.
S120, determining whether the acquired first face recognition result is stored in a preset face database; if yes, executing the steps S130-S140; if not, go to step S150.
The preset face database stores preset face data of resident personnel in the school, and specifically comprises preset face data of students and teaching staff. Each preset face data corresponds to the identity information of the person. After the first face recognition result is obtained, the first face recognition result is required to be compared with preset face data in a preset face database, and whether the person corresponding to the first face recognition data is a resident person in the school is determined.
S130, when the first recognition time of the first face recognition result is within a preset irregular access time period, generating first alarm information corresponding to the first face recognition result; the first alarm information indicates that a special access event currently occurs.
If it is determined that the first face recognition result is stored in the preset face database, it may be determined that the first face recognition result corresponds to a resident person in the school, and if the first recognition time when the intelligent gateway recognizes the first face recognition result is within a preset irregular access time period, for example, within a normal teaching time period, it may be determined that the person corresponding to the first face recognition result may enter and exit the school gate, and the time for entering and exiting the school gate at this time is a special time, instead of a regular up-and-down learning time period, at this time, first alarm information corresponding to the first face recognition result needs to be generated by the intelligent gateway, where the first alarm information includes identity information of the person corresponding to the first face recognition result, and indicates that the person corresponding to the first face recognition result may have a special access time.
And S140, displaying the first alarm information through the LED display module and sending the first alarm information to a background server.
The LED display module can display first alarm information to display identity information corresponding to the personnel going in and out of the school gate, the intelligent gateway can send the first alarm information to the background server, and related department personnel in the school can confirm that the personnel corresponding to the first face recognition result possibly has special conditions of going in and out of the school gate according to the first alarm information so as to record information.
S150, determining whether the first face recognition result is located in an intrusion early warning recognition area in a gate recognition area; if yes, go to step S160-S170; if not, determining that the current first face recognition result does not have the emergency risk.
If the first face recognition result is not stored in the preset face database, it can be determined that the person corresponding to the first face recognition result is an offsite person, and at this time, behavior determination needs to be performed on the offsite person. The intrusion early warning recognition area is an area, close to one side of the interior of the campus, in the gate recognition area, if the extrados personnel enter the intrusion early warning recognition area without authorization, the extrados personnel can be determined to intrude into the gate, and at the moment, an intrusion event occurs. If the first face recognition result is located in an area, close to the outer side of the campus, of the school gate recognition area, it can be determined that the school gate is only active outside the campus, no break-in occurs, and then no emergency risk exists. If the school bus is temporarily accessed by a person outside the school bus, face input equipment can be arranged at the school bus, face information of the person outside the school bus is input in advance before the school bus is accessed, and the face information is stored in a temporary sub-library of a preset face database, so that the person outside the school bus which is temporarily accessed is ensured not to be identified as the person outside the school bus with risk when the person outside the school bus enters the school bus.
S160, generating second alarm information corresponding to the first face recognition result; the second alarm information indicates that an intrusion event is currently occurring.
After determining that the outsider corresponding to the first face recognition result breaks in, the intelligent gateway can generate second alarm information, wherein the second alarm information comprises the current position of the outsider and indicates that the break-in event occurs at the current position.
S170, playing the second alarm information through the broadcasting module, and displaying the second alarm information of the current first face recognition result through the LED display module.
The broadcasting module can play the second alarm information through the sound amplifying equipment to prompt teachers and students in the school to pay attention to avoid danger and inform nearby guard personnel to arrive at the position where the break-in event happens in time for treatment, and meanwhile, the LED display module can also display the second alarm information and prompt the staff in the school to temporarily not go to the position where the break-in event happens.
S180, determining whether the second face recognition result is located in a crossing early warning recognition area in the enclosing wall recognition area; if yes, go to step S190-S1100; if not, determining that the current second face recognition result does not have the emergency risk.
If the second face recognition result is obtained, it is required to determine whether the second face recognition result is at risk of crossing the fence. Specifically, the fence recognition area can be further divided into a crossing early warning recognition area and a non-crossing recognition area. The early warning recognition area is a higher area in the enclosing wall, and the non-crossing recognition area is a lower area in the enclosing wall, which is close to the road surface. If the second face recognition result is located in the crossing early warning recognition area, it can be determined that the person corresponding to the second face recognition result is crossing the enclosing wall. If the second face recognition result is located in the non-crossing recognition area, it can be determined that the person is just a normal road across the fence, which does not present a risk of crossing.
S190, generating third alarm information corresponding to the second face recognition result; the third alarm information indicates that a cross-enclosure event is currently occurring.
If the person corresponding to the second face recognition result is crossing the fence, the intelligent gateway can generate third alarm information, wherein the third alarm information comprises the position of the second face recognition result. In addition, if the second face recognition result is already stored in the preset face database, it may be further determined that the person who is crossing the fence is a staff in the school, and at this time, the third alarm information may further include identity information of the person.
S1100, playing the third alarm information through the broadcasting module, displaying the third alarm information of the current second face recognition result through the LED display module, and simultaneously sending the third alarm information to a background server.
At this time, in order to stop the enclosure event in time, the third alarm information needs to be further sent to the broadcasting module to be played, and needs to be further displayed through the LED display module, and the third alarm information needs to be further sent to the background server, so that the background personnel can obtain the position where the enclosure event occurs through the background server and inform the guard department to arrive at the site where the enclosure event occurs in time to handle the event.
In an embodiment, referring to fig. 3, the smart pole-based campus monitoring method may further include the following steps:
s210, determining whether an abnormal object with the static time length exceeding the preset static time length exists in a pavement identification area in the real-time image information; if yes, go to step S220; if not, determining that no abnormal object exists at the moment.
The road surface recognition area is an area in which the intelligent gateway includes a road surface in a monitoring area previously divided in real-time image information, and the road surface area is normally free from stationary objects. If the road surface recognition area recognizes that an object exists in the road surface area and the abnormal object is in a static state, and meanwhile, the static time period exceeds the preset static time period, the object can be determined to be the abnormal object. Specifically, when determining whether a stationary object exists, the current real-time image information may be compared with a standard identification image of a road surface identification area of a preset monitoring area, where no object exists in the road surface identification area, so as to determine whether an object that should not exist in the road surface identification area in the current real-time image information exists. Further, if it is recognized that an object appearing in the road surface recognition area is a moving object, it can be determined that the object is a vehicle or a pedestrian and is not recognized as an abnormal object.
S220, acquiring abnormal object identification information of the abnormal object through a preset image identification algorithm in the intelligent gateway.
The pre-packaged preset image recognition algorithm in the intelligent gateway can also acquire parameters such as the outline, the size and the like of the abnormal object so as to identify whether the abnormal object is an obstacle or a human body. If the abnormal object is an obstacle, the abnormal object identification information is determined to be obstacle identification information. If the abnormal object is identified as a human body, the abnormal object identification information is determined to be human body identification information.
And S230, when the abnormal object identification information is obstacle identification information, acquiring obstacle position information and obstacle type information corresponding to the obstacle identification information, and sending the obstacle position information and the obstacle type information to a background server.
If the abnormal object identification information is obstacle identification information, the type of the obstacle, such as waste, plant branches and the like, is identified through a preset image identification algorithm, and then the type of the obstacle is determined as obstacle type information. Meanwhile, the obstacle position information of the obstacle can be determined by determining the identification area where the obstacle is located and the distance between the obstacle and the intelligent rod, so that the obstacle position information and the obstacle type information are simultaneously sent to the background server, sanitation workers can determine relevant disposal measures according to the obstacle type information and timely arrive at the scene for disposal according to the obstacle position information, and the road is prevented from being blocked. Specifically, the background server can directly send the barrier position information and barrier type information to a terminal carried by the sanitation personnel so as to inform the sanitation personnel.
S240, when the abnormal object identification information is human body identification information, acquiring human body position information corresponding to the human body identification information, and generating abnormal alarm information corresponding to the human body position information.
If the abnormal object identification information is determined to be the human body identification information, the abnormal object identification information represents that an emergency such as motion incapacitation, motion sickness and the like of a person occurs at the moment, the human body position information needs to be immediately determined at the moment, and abnormal alarm information corresponding to the human body position information is generated.
S250, playing the abnormal alarm information through the broadcasting module, displaying the abnormal alarm information through the LED display module, and simultaneously sending the abnormal alarm information to a background server.
And then, the abnormal alarm information can be played through the broadcasting module, and the abnormal alarm information is displayed through the LED display module so as to inform nearby guard personnel to arrive at the site in time for rescue. Meanwhile, the abnormal alarm information needs to be sent to a background server, so that background personnel can make emergency measures.
In this embodiment, the video monitoring module and the intelligent gateway can jointly identify the abnormal object on the road surface and transmit the related information in a targeted manner, so that the abnormal object can be timely and pointedly found and disposed, and the cleanliness of the interior of the campus can be improved.
In an embodiment, after step S250, the method may further include the following steps:
if third face recognition information corresponding to the human body recognition information is obtained, determining personnel category information of the third face recognition information in the preset recognition library;
according to the personnel category information, emergency contact information corresponding to the third face identification information is obtained;
generating emergency contact information corresponding to the third face recognition information according to the emergency contact information, and sending the emergency contact information carrying the third face recognition information to the background server; the emergency contact information is used for contacting emergency contacts of persons corresponding to the third face identification information.
In this embodiment, if the abnormal object is identified as a human body, and then third face identification information of the person is also identified, the third face identification information may be compared with preset face data in a preset identification library, identity information corresponding to the person is determined, and person category information corresponding to the person is determined. The personnel category information can be classified into students, teaching staff, temporary visiting personnel and the like. Then, aiming at the personnel category information, emergency contact information corresponding to the personnel can be acquired. For example, if the personnel category information is a student, contact information of parents of the student can be obtained; if the personnel category information is a teaching staff, the contact information of the responsible person of the department to which the teaching staff belongs and the contact information of the responsible person of the guard department can be directly obtained; if the personnel category information is the offsite temporary access personnel, the contact information of the personnel along with the identity information of the offsite temporary access personnel can be acquired. And then, the intelligent gateway generates corresponding emergency contact information according to the emergency contact information, wherein the emergency contact information comprises the contact identity, the contact way and the relation information of the person corresponding to the third face identification information. Then, the intelligent gateway can send the emergency contact information to the background server, and the background personnel can directly acquire the emergency contact information from the background server and contact the emergency contact person so as to timely inform the emergency.
In an embodiment, the intelligent pole further comprises an intercom help module, and the intercom help module is arranged on the main pole and connected with the intelligent gateway; the campus monitoring method based on the intelligent pole can further comprise the following steps:
responding to the help request received by the intercom help module, and connecting the background server with the voice of the intercom help module;
transmitting the position information of the intelligent pole where the intercom help-seeking module is located to the background server;
responding to the assistance information sent by the background server based on the voice connection, playing the assistance information through the broadcasting module, and displaying the assistance information through the LED display module; wherein the assistance information includes assistance arrival waiting time information and on-site assistance indication information.
In this embodiment, the intercom help module of wisdom pole sets up in the height of easily contacting, and the intercom help module includes button intercom equipment. When an emergency occurs near the intelligent pole, on-site personnel can realize the intercommunication with background personnel by pressing a key intercommunication device on the intercommunication help-seeking module. When the on-site personnel presses the key intercom equipment, the intelligent gateway can receive a help request from the intercom help module, then the background server is connected with the voice of the intercom help module, and the background personnel can realize intercom conversation with the on-site personnel nearby the intelligent pole. Meanwhile, the help seeking module can also send the self-position information of the intelligent pole to the background server, and then, the background personnel can appoint the help information according to the field condition reflected by the help seeking module and the self-position information of the intelligent pole by the field personnel, and send the corresponding intelligent gateway in the intelligent pole through the background server. The assistance information comprises assistance arrival waiting time information and on-site assistance indicating information, wherein the assistance arrival waiting time information is information which is expected to arrive by an assistance person, and the on-site assistance indicating information is indicating what measures are taken by the on-site person to primarily cope with emergency. The assistance information can be played and displayed simultaneously through the broadcasting module and the LED display module. Therefore, the intercom help seeking module can provide a nearby quick help seeking mode for people nearby the intelligent pole, and can help background people to quickly locate the position of an emergency and treat the emergency.
In an embodiment, the smart pole-based campus monitoring method may further include the following steps:
acquiring real-time image information in a monitoring area through the video monitoring module, and acquiring well lid state images corresponding to the preset well lid positions respectively through a preset image recognition algorithm in the intelligent gateway;
comparing each well lid state image with a preset well lid covering reference image respectively, and confirming whether a corresponding target well lid state image with the displacement of the well lid exists or not;
if a corresponding target well lid state image of the well lid displacement exists, generating displacement well lid position information and well lid displacement warning information of the target well lid corresponding to the target well lid state image;
and sending the position information of the displacement well lid to the background server, and displaying the well lid displacement warning information through the LED display module.
In this embodiment, the video monitoring module may obtain a well lid status image of a preset well lid position from the real-time image information. Specifically, the preset well lid position is the identification area where each well lid is located in the corresponding monitoring area inside the intelligent gateway after the intelligent gateway identifies the real-time image information for a plurality of times, and when the subsequent intelligent gateway identifies the new real-time image information, each well lid state image in the preset well lid position corresponding to each well lid can be determined. The preset well lid covering reference image is a standard image stored in advance when the well lid is in a covering state, if the intelligent gateway compares the well lid state image with the preset well lid covering reference image, the coincidence degree of the well lid state image and the preset well lid covering reference image is found to be lower, the well lid corresponding to the well lid state image can be determined to be not covered tightly, the well lid state image corresponding to the well lid which is not covered tightly is taken as a target well lid state image at the moment, and displacement well lid position information and well lid displacement alarm information are generated according to the position of the well lid which is not covered tightly. When the well lid displacement warning information is displayed by the LED display module, the well lid which is displaced near the intelligent rod is indicated to remind pedestrians of paying attention. Meanwhile, the displacement well lid position information is sent to the background server, so that the background personnel can dispatch related personnel to the well lid for disposal. Therefore, accurate and timely treatment to the well lid displacement condition can be realized based on wisdom pole.
In an embodiment, the intelligent bar further comprises an environment detection sensing module, and the environment detection sensing module is arranged on the main bar and connected with the intelligent gateway; the campus monitoring method based on the intelligent pole can further comprise the following steps:
generating environment information corresponding to the environment data according to the environment data acquired by the environment detection sensing module; the environment information comprises temperature information, noise information, humidity information, air pollution index information and weather forecast information;
displaying the environmental information through the LED display module;
and if the environmental information corresponds to the severe weather early warning information, updating the environmental information displayed by the LED display module into the severe weather early warning information.
In this embodiment, the environmental detection sensing module may comprehensively obtain temperature information, noise information, humidity information, and air pollution index information of the current environment, and may obtain weather forecast information through the intelligent gateway, and combine the above information into environmental information. Then, the environment detection sensing module can send the environment information to the intelligent gateway, and the intelligent gateway can display the environment information through the LED display module so as to inform personnel environment information in the school. In addition, if the environmental information corresponds to the severe weather early warning information, the environmental information displayed by the LED display module is updated to the severe weather early warning information so as to prompt personnel in the school to take precautions.
In an embodiment, the smart pole-based campus monitoring method may further include the following steps:
storing a first face recognition result corresponding to the first alarm information or the second alarm information and a second face recognition result corresponding to the third alarm information into an early warning database;
at this time, step S110 may be followed by the further steps of:
if the first face recognition result or the second face recognition result is obtained again and the first face recognition result or the second face recognition result is stored in the early warning database, fourth warning information is generated and sent to a background server; the fourth alarm information indicates that an emergency risk exists.
In this embodiment, the first face recognition result of the generated first alarm information or the second alarm information and the second face recognition result of the generated third alarm information are stored in the early warning database by the intelligent gateway after the alarm information is generated. When the first face recognition result or the second face recognition result in the early warning database is acquired next time, the possibility of emergency occurrence can be determined, and the fourth warning information is information for notifying background personnel to prevent.
It can be seen that in the campus monitoring method based on the intelligent pole provided by the embodiment of the invention, the video monitoring module is used for acquiring the real-time image information in the monitoring area in real time, intelligently identifying the face recognition results of the gate recognition area and the wall recognition area in the real-time image information, intelligently determining the type of the emergency occurring at the moment according to the states of the face recognition results in the gate recognition area and the wall recognition area, displaying the alarm information corresponding to the emergency through the LED display module, and simultaneously playing the alarm information through the broadcasting module and timely stopping the emergency, and directly sending the alarm information to the background server to prompt the campus security department to react so as to rapidly and timely realize the processing of the emergency and improve the response speed to the emergency and the pertinence of handling the emergency.
Corresponding to the campus monitoring method based on the intelligent pole, the invention further provides a campus monitoring device based on the intelligent pole. The apparatus includes means for performing the smart pole-based campus monitoring method described above, the apparatus being configured in the smart pole described above. Specifically, the smart pole-based campus monitoring device 80 is configured to perform the following steps:
Acquiring real-time image information in a monitoring area through the video monitoring module, and determining whether a first face recognition result of a gate recognition area and/or a second face recognition result of a wall recognition area in the real-time image information are acquired through a preset image recognition algorithm in the intelligent gateway;
if the obtained first face recognition result is stored in a preset face database and the first recognition time of the first face recognition result is within a preset irregular access time period, generating first alarm information corresponding to the first face recognition result; the first alarm information indicates that a special access event occurs currently;
the LED display module is used for displaying the first alarm information and sending the first alarm information to a background server;
if the acquired first face recognition result is determined not to be stored in a preset face database and is positioned in an intrusion early warning recognition area in the gate recognition area, generating second warning information corresponding to the first face recognition result; the second alarm information indicates that an intrusion event occurs currently;
The second alarm information is played through the broadcasting module, and the second alarm information of the current first face recognition result is displayed through the LED display module;
if the acquired second face recognition result is determined to be positioned in the crossing early warning recognition area in the enclosing wall recognition area, generating third warning information corresponding to the second face recognition result; the third alarm information indicates that a wall-crossing event currently occurs;
and playing the third alarm information through the broadcasting module, displaying the third alarm information of the current second face recognition result through the LED display module, and simultaneously sending the third alarm information to a background server.
It should be noted that, as those skilled in the art can clearly understand, the specific implementation process of the campus monitoring device and each unit based on the smart rod may refer to the corresponding description in the foregoing method embodiment, and for convenience and brevity of description, the description is omitted here.
The smart pole-based campus monitoring apparatus described above may be implemented in the form of a computer program that may be run on a computer device as shown in fig. 4.
Referring to fig. 4, fig. 4 is a schematic block diagram of a computer device 400 according to an embodiment of the present application. The computer device can be a terminal or a server, wherein the terminal can be an electronic device with an image display function, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, a wearable device and the like. The server may be an independent server or a server cluster formed by a plurality of servers.
Referring to fig. 4, the computer device 400 includes a processor 402 and a memory and network interface 405 connected by a system bus, wherein the memory may include a storage medium 403 and an internal memory 404.
The storage medium 403 may store an operating system and a computer program. The computer program includes program instructions that, when executed, cause the processor to perform a smart pole-based campus monitoring method.
The processor 402 is used to provide computing and control capabilities to support the operation of the overall computer device 400.
The internal memory 404 provides an environment for the execution of a computer program 4032 in the storage medium 403, which when executed by the processor 402, causes the processor 402 to perform a smart pole-based campus monitoring method.
The network interface 405 is used for network communication with other devices. Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of a portion of the architecture in connection with the present application and is not intended to limit the computer device 400 to which the present application is applied, and that a particular computer device 400 may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
Wherein the processor 402 is configured to execute a computer program 4032 stored in the memory to implement the steps of:
acquiring real-time image information in a monitoring area through the video monitoring module, and determining whether a first face recognition result of a gate recognition area and/or a second face recognition result of a wall recognition area in the real-time image information are acquired through a preset image recognition algorithm in the intelligent gateway;
if the obtained first face recognition result is stored in a preset face database and the first recognition time of the first face recognition result is within a preset irregular access time period, generating first alarm information corresponding to the first face recognition result; the first alarm information indicates that a special access event occurs currently;
The LED display module is used for displaying the first alarm information and sending the first alarm information to a background server;
if the acquired first face recognition result is determined not to be stored in a preset face database and is positioned in an intrusion early warning recognition area in the gate recognition area, generating second warning information corresponding to the first face recognition result; the second alarm information indicates that an intrusion event occurs currently;
the second alarm information is played through the broadcasting module, and the second alarm information of the current first face recognition result is displayed through the LED display module;
if the acquired second face recognition result is determined to be positioned in the crossing early warning recognition area in the enclosing wall recognition area, generating third warning information corresponding to the second face recognition result; the third alarm information indicates that a wall-crossing event currently occurs;
and playing the third alarm information through the broadcasting module, displaying the third alarm information of the current second face recognition result through the LED display module, and simultaneously sending the third alarm information to a background server.
It should be appreciated that in embodiments of the present application, the processor may be a central processing unit (Central Processing Unit, CPU), which may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Those skilled in the art will appreciate that all or part of the flow in a method embodying the above described embodiments may be accomplished by computer programs instructing the relevant hardware. The computer program comprises program instructions, and the computer program can be stored in a storage medium, which is a computer readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present invention also provides a storage medium. The storage medium may be a computer readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. The program instructions, when executed by the processor, cause the processor to perform the steps of:
Acquiring real-time image information in a monitoring area through the video monitoring module, and determining whether a first face recognition result of a gate recognition area and/or a second face recognition result of a wall recognition area in the real-time image information are acquired through a preset image recognition algorithm in the intelligent gateway;
if the obtained first face recognition result is stored in a preset face database and the first recognition time of the first face recognition result is within a preset irregular access time period, generating first alarm information corresponding to the first face recognition result; the first alarm information indicates that a special access event occurs currently;
the LED display module is used for displaying the first alarm information and sending the first alarm information to a background server;
if the acquired first face recognition result is determined not to be stored in a preset face database and is positioned in an intrusion early warning recognition area in the gate recognition area, generating second warning information corresponding to the first face recognition result; the second alarm information indicates that an intrusion event occurs currently;
The second alarm information is played through the broadcasting module, and the second alarm information of the current first face recognition result is displayed through the LED display module;
if the acquired second face recognition result is determined to be positioned in the crossing early warning recognition area in the enclosing wall recognition area, generating third warning information corresponding to the second face recognition result; the third alarm information indicates that a wall-crossing event currently occurs;
and playing the third alarm information through the broadcasting module, displaying the third alarm information of the current second face recognition result through the LED display module, and simultaneously sending the third alarm information to a background server.
The storage medium may be a U-disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk, or other various computer-readable storage media that can store program codes.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed.
The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the invention can be combined, divided and deleted according to actual needs. In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The integrated unit may be stored in a storage medium if implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a terminal, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (7)
1. The campus monitoring method based on the intelligent rod is applied to the intelligent rod arranged in the campus, and is characterized in that the intelligent rod comprises a main rod, an intelligent gateway, a video monitoring module, an LED display module and a broadcasting module, wherein the intelligent gateway is arranged in the main rod, the video monitoring module, the LED display module and the broadcasting module are all arranged on the main rod, and the video monitoring module, the LED display module and the broadcasting module are all connected with the intelligent gateway; the campus monitoring method based on the intelligent pole comprises the following steps:
acquiring real-time image information in a monitoring area through the video monitoring module, and determining whether a first face recognition result of a gate recognition area and/or a second face recognition result of a wall recognition area in the real-time image information are acquired through a preset image recognition algorithm in the intelligent gateway;
If the obtained first face recognition result is stored in a preset face database and the first recognition time of the first face recognition result is within a preset irregular access time period, generating first alarm information corresponding to the first face recognition result; the first alarm information indicates that a special access event occurs currently;
the LED display module is used for displaying the first alarm information and sending the first alarm information to a background server;
if the acquired first face recognition result is determined not to be stored in a preset face database and is positioned in an intrusion early warning recognition area in the gate recognition area, generating second warning information corresponding to the first face recognition result; the second alarm information indicates that an intrusion event occurs currently;
the second alarm information is played through the broadcasting module, and the second alarm information of the current first face recognition result is displayed through the LED display module;
if the acquired second face recognition result is determined to be positioned in the crossing early warning recognition area in the enclosing wall recognition area, generating third warning information corresponding to the second face recognition result; the third alarm information indicates that a wall-crossing event currently occurs;
The third warning information is played through the broadcasting module, the third warning information of the current second face recognition result is displayed through the LED display module, and meanwhile the third warning information is sent to a background server;
the method further comprises the steps of:
if the road surface identification area in the real-time image information is determined to have an abnormal object with the static time exceeding the preset static time, acquiring abnormal object identification information of the abnormal object through a preset image identification algorithm in the intelligent gateway;
if the abnormal object identification information is obstacle identification information, acquiring obstacle position information and obstacle type information corresponding to the obstacle identification information, and sending the obstacle position information and the obstacle type information to a background server;
if the abnormal object identification information is human body identification information, acquiring human body position information corresponding to the human body identification information, and generating abnormal alarm information corresponding to the human body position information;
the abnormal alarm information is played through the broadcasting module, the abnormal alarm information is displayed through the LED display module, and meanwhile the abnormal alarm information is sent to a background server;
The intelligent pole further comprises an intercom help-seeking module which is arranged on the main pole and connected with the intelligent gateway; the method further comprises the steps of:
responding to the help request received by the intercom help module, and connecting the background server with the voice of the intercom help module;
transmitting the position information of the intelligent pole where the intercom help-seeking module is located to the background server;
responding to the assistance information sent by the background server based on the voice connection, playing the assistance information through the broadcasting module, and displaying the assistance information through the LED display module; the assistance information comprises assistance arrival waiting time information and on-site assistance indication information;
the method further comprises the steps of:
acquiring real-time image information in a monitoring area through the video monitoring module, and acquiring well lid state images corresponding to the preset well lid positions respectively through a preset image recognition algorithm in the intelligent gateway;
comparing each well lid state image with a preset well lid covering reference image respectively, and confirming whether a corresponding target well lid state image with the displacement of the well lid exists or not;
If a corresponding target well lid state image of the well lid displacement exists, generating displacement well lid position information and well lid displacement warning information of the target well lid corresponding to the target well lid state image;
and sending the position information of the displacement well lid to the background server, and displaying the well lid displacement warning information through the LED display module.
2. The smart pole-based campus monitoring method according to claim 1, wherein after the acquiring the human body position information corresponding to the human body identification information and generating the abnormality warning information corresponding to the human body position information, further comprises:
if third face recognition information corresponding to the human body recognition information is obtained, determining personnel category information of the third face recognition information in a preset recognition library;
according to the personnel category information, emergency contact information corresponding to the third face identification information is obtained;
generating emergency contact information corresponding to the third face recognition information according to the emergency contact information, and sending the emergency contact information carrying the third face recognition information to the background server; the emergency contact information is used for contacting emergency contacts of persons corresponding to the third face identification information.
3. The smart pole-based campus monitoring method of claim 1, wherein the smart pole further comprises an environment detection sensing module, the environment detection sensing module being disposed on the primary pole and connected to the smart gateway; the method further comprises the steps of:
generating environment information corresponding to the environment data according to the environment data acquired by the environment detection sensing module; the environment information comprises temperature information, noise information, humidity information, air pollution index information and weather forecast information;
displaying the environmental information through the LED display module;
and if the environmental information corresponds to the severe weather early warning information, updating the environmental information displayed by the LED display module into the severe weather early warning information.
4. The smart pole-based campus monitoring method of claim 1, further comprising:
storing a first face recognition result corresponding to the first alarm information or the second alarm information and a second face recognition result corresponding to the third alarm information into an early warning database;
if the first face recognition result or the second face recognition result is obtained again and the first face recognition result or the second face recognition result is stored in the early warning database, fourth warning information is generated and sent to a background server; the fourth alarm information indicates that an emergency risk exists.
5. The campus monitoring device based on the intelligent rod is configured on the intelligent rod arranged in the campus, and is characterized in that the intelligent rod comprises a main rod, an intelligent gateway, a video monitoring module, an LED display module and a broadcasting module, wherein the intelligent gateway is arranged in the main rod, the video monitoring module, the LED display module and the broadcasting module are all arranged on the main rod, and the video monitoring module, the LED display module and the broadcasting module are all connected with the intelligent gateway; the smart pole-based campus monitoring device is configured to implement the method of any one of claims 1 to 4.
6. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 4 when executing the computer program.
7. A computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the method according to any one of claims 1 to 4.
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