CN113128418A - Campus intelligent monitoring system and method for recognizing abnormity in monitoring - Google Patents
Campus intelligent monitoring system and method for recognizing abnormity in monitoring Download PDFInfo
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Abstract
The invention relates to a campus intelligent monitoring system and a method for recognizing abnormity in monitoring, wherein the campus intelligent monitoring system comprises an identifier, a monitoring device and a main server; the recognizer is arranged on the monitored object, and the identity information of the monitored object is recorded on the recognizer; the monitoring device comprises a plurality of detection modules, a video display module and at least one camera module, wherein the camera module is used for collecting video images of the monitoring area, and the detection modules are used for identifying identity information on a plurality of identifiers in the monitoring area; the main server is in remote communication with the plurality of monitoring devices, receives the video images from the camera module and the identity information from the detection module, and intelligently analyzes the video images; the intelligent, real-time analysis and real-time early warning functions are realized, manpower is liberated, and the accuracy and timeliness of judgment are improved greatly.
Description
Technical Field
The invention relates to the technical field of intelligent campuses, in particular to an intelligent campus monitoring system and a method for recognizing abnormality in monitoring.
Background
Campus safety has close relation with every teachers and students, parents and society, with continuous progress and development of modern society, campus safety management is still the top of importance in campus management, the current campus safety precaution management system still has a lot of insufficiencies, often school-going outside personnel in universities, the control to school-going outside personnel is not enough, can not in time make things convenient for the work to know the condition in the campus, personnel to the campus of business turn over are not in time identity check, all can cause dangerous emergence.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an intelligent campus monitoring system and a method for recognizing an abnormality in monitoring, aiming at the above-mentioned defects in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows:
constructing a campus intelligent monitoring system, wherein the campus intelligent monitoring system comprises a main server, a monitoring device and an identifier; the recognizer is arranged on a monitored object, and the identity information of the monitored object is recorded on the recognizer; the monitoring devices are respectively arranged in a plurality of different monitoring areas in a campus, each monitoring device comprises a detection module, a video display module and at least one camera module, the monitoring device and an identifier of each monitoring area form a monitoring subsystem, the monitoring subsystem is connected with the main server, and the video display modules are located in monitoring rooms close to the building;
a laser radar sensor and a warning device are arranged beside any monitoring device, the laser radar sensor is used for detecting abnormal behaviors of the monitored object, and the warning device is used for warning the abnormal object;
the camera module is used for acquiring video images of a monitored area, and the detection module is used for identifying all identifiers in the monitored area through wireless short-wave communication and acquiring identity information on the identifiers; the master server receives the video image from the camera module and the identity information from the detection module;
the main server stores the image information of the monitored object, and the monitored object is automatically identified and distinguished in the monitoring process; the main server is provided with a video editing processing module which is used for calling out video information of the monitored object in different monitoring areas and different time periods, splicing a plurality of sections of video images together according to a time sequence and summarizing all continuous track videos of the monitored object in the campus at one time.
Preferably, the recognizer is a smart phone, the smart phone is connected with the main server through a communication network and is connected with a campus network, the main server receives picture and video information uploaded by the smart phone through the campus network, analyzes the picture and the video according to a preset algorithm, analyzes whether abnormal behaviors occur in scenes in the picture and the video image, compares the time of the picture and the video information with the time of the video information in the system for matching, automatically collects the associated picture and video information by the system after the matching is successful and recognizes the picture and the video information, and sends alarm information to prompt monitoring personnel to pay attention to the processing if the abnormal behaviors occur.
Preferably, the laser radar sensor is used for detecting abnormal behaviors of people and abnormal behaviors of objects; the abnormal behaviors of the personnel comprise falling and putting up, and the abnormal behaviors of the object comprise automobile overspeed.
Preferably, the laser radar sensor judges whether the person falls through the action speed of the detected person and the reflected signal, obtains the body gravity center falling speed of the person in the monitoring area within a preset time interval, and judges whether the body gravity center falling speed is greater than a preset threshold value.
Preferably, the campus intelligent monitoring system further comprises an entry module, wherein the entry module is used for entering identity information, face information and school affairs of a monitored object, packaging the identity information, the face information and the school affairs and then uploading the face information and the school affairs to a main server, and inputting the identity information into the recognizer after the main server passes the verification; the entry module further comprises a plurality of temperature measuring units, wherein the temperature measuring units are used for measuring the body temperature of the monitored object and uploading body temperature data to the main server, and the temperature measuring units respectively send out an alarm when detecting that the body temperature of the monitored object exceeds a warning value at building gates of monitoring areas.
Preferably, the monitoring area includes an unobstructed monitoring area and an forbidden monitoring area, the master server opens a corresponding forbidden monitoring area to enter the right through checking the school affairs of the monitored object, and the master server sends alarm information to prompt monitoring personnel to pay attention to the processing if detecting an identifier without the right of entering through a monitoring device in the forbidden monitoring area.
Preferably, the detection module comprises a detection processor, the detection processor is connected with a trigger transmitting unit and a wireless receiving and transmitting unit, the trigger transmitting unit is used for periodically transmitting a trigger signal, and the wireless receiving and transmitting unit is used for receiving the identity information sent by the identifier and sending the identity information to the main server; the recognizer comprises a recognition processor, the recognition processor is connected with a trigger receiving unit and an information sending unit, the trigger receiving unit is used for receiving trigger signals, and the information sending unit is used for sending corresponding identity information to the detection module.
Preferably, the campus intelligent monitoring system further comprises a plurality of mobile terminals, and the mobile terminals are in remote communication with the main server, and are configured to receive the alarm information from the main server, obtain the processing progress of the abnormal object in real time, and timely feed back the processing progress of the abnormal object to the main server.
Preferably, the main server is further configured to complete intelligent parking lot monitoring, including: when a vehicle enters a parking lot, the main server identifies the license plate number through the image uploaded by the camera module and stores the license plate number as a unique identification mark; when the vehicle leaves the parking lot, the license plate number of the vehicle is automatically extracted again, the vehicle information is compared and displayed when the card is read, and meanwhile, the incoming image of the vehicle is automatically called for comparison and display, so that whether the vehicles entering and leaving are the same vehicle or not is confirmed.
The invention also provides a method for recognizing abnormity in monitoring, which is based on the campus intelligent monitoring system and is characterized by comprising the following steps:
the first step is as follows: when the laser radar sensor detects that the automobile is overspeed, the automobile is warned through a warning device, and overspeed is prompted through a loudspeaker in a monitored area; the main server extracts license plate image features from the monitoring image, performs image recognition to acquire a license plate number, acquires vehicle owner identity information through the license plate number, and prompts and displays the license plate number and the vehicle owner identity information on the video display module to prompt monitoring personnel to pay attention;
the second step is that: when the laser radar sensor detects abnormal behaviors of people, abnormal information is uploaded to the main server, the main server intercepts a monitoring image corresponding to the abnormal information, prompts and locally amplifies and displays the monitoring image for a period of time on the video display module, meanwhile, a red light is used for early warning to prompt monitoring personnel to pay attention, the monitoring personnel manually confirms whether the abnormal behaviors of the people exist or not, and if the abnormal behaviors of the people are confirmed, the abnormal personnel are warned through a warning device;
the third step: when the abnormal object needs to be proved, the video editing processing module collects and edits the video information of the abnormal object in different areas and time periods, and splices a plurality of sections of video images together according to a time sequence, so that all continuous track videos of the abnormal object in the campus are collected and called out at one time.
The invention has the beneficial effects that: the communication is established between the recognizer arranged on the monitored object and the detection module in each monitoring area, the monitored object is ensured to be detected when entering/leaving the monitoring area, the general server can carry out identity matching identification, the face of the monitored object is matched with the face of the corresponding identity information in the database, and the monitored object is prevented from escaping tracking through discarding the recognizer; the main server can also periodically match all faces in the monitoring local area with the faces in the database, and can effectively detect people entering the campus and outside schools through abnormal means; the general server can also detect abnormal behaviors of personnel through a preset algorithm, and alarm by a system when violent behavior and violent behavior in a monitored area are detected; different from the traditional manual monitoring, the system disclosed by the invention realizes the functions of intellectualization, real-time analysis and real-time early warning, so that not only is the manpower liberated, but also the accuracy and timeliness of judgment are greatly improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be further described with reference to the accompanying drawings and embodiments, wherein the drawings in the following description are only part of the embodiments of the present invention, and for those skilled in the art, other drawings can be obtained without inventive efforts according to the accompanying drawings:
FIG. 1 is an overall structure diagram of a campus intelligent monitoring system according to a preferred embodiment of the present invention;
FIG. 2 is a block diagram of the recognizer and detection module of the campus intelligent monitoring system in accordance with the preferred embodiment of the present invention;
FIG. 3 is a flow chart of a method for identifying anomalies in a monitor in accordance with a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without inventive step, are within the scope of the present invention.
Referring to fig. 2, an intelligent campus monitoring system according to a preferred embodiment of the present invention is shown in fig. 1, and is characterized by including a main server 1, a monitoring device 2, and an identifier 3; the recognizer 3 is arranged on the monitored object, and the identity information of the monitored object is recorded on the recognizer 3; the monitoring devices 2 are arranged in a plurality of different monitoring areas in a campus respectively, each monitoring device 2 comprises a detection module 21, a video display module 22 and at least one camera module 23, the monitoring device 2 and the identifier 3 in a single monitoring area form a monitoring subsystem, the monitoring subsystem is connected with the main server 1, and the video display module 22 is located in a monitoring room close to a building;
a laser radar sensor 4 and a warning device 5 are arranged beside any monitoring device 2, the laser radar sensor 4 is used for detecting abnormal behaviors of the monitored object, and the warning device 5 is used for warning the abnormal object;
the camera module 23 is used for acquiring video images of a monitored area, and the detection module 21 is used for identifying all the identifiers 3 in the monitored area through wireless short-wave communication and acquiring identity information on the identifiers 3; the general server 1 receives the video image from the camera module 23 and the identity information from the detection module 21;
the main server 1 stores the image information of the monitored object, and the monitored object is automatically identified and distinguished in the monitoring process; the main server 1 is provided with a video editing processing module 11, the video editing processing module 11 is used for calling out video information of a monitored object in different monitoring areas and different time periods, splicing a plurality of sections of video images together according to a time sequence, and summarizing all continuous track videos of the monitored object in a campus at one time.
As shown in fig. 1, a laser radar sensor 4 and a warning device 5 are arranged beside any monitoring device 2, the laser radar sensor 4 is used for detecting abnormal behaviors of people and abnormal behaviors of objects, and the warning device 5 is used for warning abnormal objects; abnormal behaviors of personnel comprise falling and putting up, and abnormal behaviors of objects comprise overspeed of the automobile;
when violent wrestling and violent behaviors are detected in a monitored area, the system reports, specifically, the police laser radar sensor 4 judges whether the person falls or not according to the walking speed of the detected person and a reflected signal, the person normally walks vertically, the person does not exceed a certain speed even if sitting or lying down, the person only slowly sits or lies down, if abnormal behaviors (such as falling or being collided) occur through measuring and calculating the distance between the height of a human body and the ground, the person can be detected by the laser radar, and the monitoring person is prompted on a screen of the monitoring system and locally amplified and stored for a period of display time to be prompted. If the situation frequently occurs in a stadium or a court, monitoring personnel can ignore the situation, but the situation is abnormal on the road or in a safe passing area, and a monitoring system can give an alarm; different from the traditional manual monitoring, the system disclosed by the invention realizes the functions of intellectualization, real-time analysis and real-time early warning, so that not only is the manpower liberated, but also the accuracy and timeliness of judgment are greatly improved; in addition, the hardware configuration is simple, the operation is convenient, the applicability is strong, and the market popularization value is good.
The method comprises the following steps of detecting vehicles running in a monitoring area by using a laser radar sensor 4, measuring and recording the real-time speed of all passing vehicles, judging whether the vehicles overspeed or not according to a preset speed limit value, triggering a positioning snapshot unit to snapshot overspeed vehicles once the speed limit value is exceeded, recording passing information of the overspeed vehicles, including time, place, direction, license plate number, vehicle type, vehicle speed and the like, and sending the information to a master server; the main server extracts license plate image features from the video image uploaded by the camera module 23, identifies the color of the license plate according to a preset license plate identification algorithm to judge the type of the vehicle, further identifies the license plate number on the basis of judging the type of the vehicle, acquires the license plate number, and stores the license plate number for subsequent reference and comparison.
As shown in fig. 1, the campus intelligent monitoring system further includes an entry module 6, where the entry module 6 is configured to enter identity information, face information, and school entrance affairs of a monitored object, package the identity information and face information, upload the packaged identity information to the general server 1, and input the identity information into the identifier 3 after the general server 1 passes the audit; the recording module 6 further comprises a plurality of temperature measuring units, wherein the temperature measuring units are used for measuring the body temperature of the monitored object and uploading body temperature data to the main server 1, and alarm is given when the body temperature of the monitored object is detected to exceed a warning value at building gates of the monitoring area;
the identity information input by the personnel outside the school can adopt an identity card scanning input mode, the general server 1 compares the input human face characteristics with the picture on the identity card, and if the human face characteristics are not matched with the picture, the personnel outside the school can be directly refused to enter the general server; the personnel outside the school can apply for the authority to enter the forbidden monitoring area through the entry module 4, the school entrance can be set as multiple options, different authorities can be opened according to different options, for example, parents accompanying students can open the authority of dormitory buildings, and other authorities which are not in the options can be manually filled; the entry module 6 is arranged at a school gate, and meanwhile, the entry module is distributed in the school and can be used for applying for the permission of a forbidden monitoring area by personnel outside the school under special conditions; the body temperature is detected through the temperature measurement module, so that the temperature measurement module has an important effect on preventing large-scale infectious diseases such as new coronavirus, influenza and the like, the safety of a campus is ensured, and the temperature measurement module is certainly applicable to enterprises, factories and other places.
Through the main server 1, an operator can send out an instruction to control the up, down, left and right actions of the camera and perform focusing and zooming operations on the lens, and switching among multiple paths of cameras can be realized through a control host; by using a special video recording processing mode, the operations of recording, replaying, processing and the like can be carried out on the images, so that the video recording effect is optimal.
As shown in fig. 1 and 2, the monitoring area includes an unobstructed monitoring area and an forbidden monitoring area, the general server 1 opens a corresponding forbidden monitoring area to enter the right through checking the entry and correction of the monitored object, and the general server 1 sends alarm information to prompt the monitoring personnel to perform attention processing when detecting the identifier 3 without the access right through the monitoring device 2 in the forbidden monitoring area; places such as canteens, dormitory buildings, teaching buildings and the like closely related to the study and life of students are forbidden monitoring areas, access of general visitors is not allowed, and other situations such as parents accompanying students to enter and students who have recorded but do not enter can enter the right through applying for the corresponding forbidden monitoring area, the information of the personnel is manually checked by the auditors, and the personnel can enter the forbidden monitoring area after the information is checked; by setting the monitoring forbidding area for the school students, the disturbance of the school students on the study and life of the students by the school students can be effectively reduced, the possibility of conflict between the students and the school students is reduced, and the safety of the university campus is enhanced.
As shown in fig. 2, the detection module 21 includes a detection processor 211, the detection processor 211 is connected to a trigger transmitting unit 212 and a wireless transceiver unit 213, the trigger transmitting unit 212 is configured to periodically transmit a trigger signal, and the wireless transceiver unit is configured to receive the identity information sent by the identifier 3 and send the identity information to the main server 1; the recognizer 3 comprises a recognition processor 31, the recognition processor 31 is connected with a trigger receiving unit 32 and an information sending unit 33, the trigger receiving unit 32 is used for receiving a trigger signal, and the information sending unit 33 is used for sending corresponding identity information to the detection module 21; the communication between the identifier and the detection module can be ordinary OOK, FSK, Bluetooth, WIFI or long-distance RFID, and in order to improve the detection precision, the combination of several wireless communication modes can be adopted; in addition, each recognizer delays different time to send the identity information of the corresponding monitored object to the detection module, so that the problem of data collision of communication between the detection module and the plurality of recognizers can be effectively avoided.
As shown in fig. 1, the campus intelligent monitoring system further includes a plurality of mobile terminals 7, where the mobile terminals 7 are in remote communication with the main server 1, and are configured to receive the alarm information from the main server 1, obtain the processing progress of the abnormal object in real time, and timely feed back the processing progress of the abnormal object to the main server 1.
As shown in fig. 1 and 2, the campus intelligent monitoring system is further configured to complete monitoring of an intelligent parking lot, and when a vehicle enters or exits a campus, the campus intelligent monitoring system includes: when a vehicle enters a campus or a parking lot, the license plate number identified by the image uploaded by the camera module 1 23 is stored as a unique identification mark by the main server; when the vehicle leaves the campus or the parking lot, automatically extracting the license plate number of the vehicle out of the campus again, comparing and displaying the vehicle information when reading the card, and simultaneously automatically calling out the incoming image of the vehicle for comparison and display so as to confirm whether the vehicles which are in the campus and out of the campus are the same vehicle; the method comprises the following steps that a temporary parking card is automatically issued to a vehicle temporarily entering a parking lot, and the card issuing mode can select a vehicle button to output the card, a no vehicle button to output the card and a computer to output the card; when the card is read, the entry time, the entry place, the vehicle information and the identity of a vehicle owner are synchronously and automatically recorded, and meanwhile, the vehicle information is contrasted and displayed to confirm whether the entry and the exit are the same vehicle or not; the temporary card can be manually recycled by the on-duty toll collector, and the temporary card can be automatically recycled by the card-swallowing machine arranged in the exit control machine.
The invention also provides a campus intelligent monitoring system of another preferred embodiment, which is basically the same as the intelligent monitoring system of the previous embodiment, and comprises a main server 1 and a monitoring device 2, wherein the monitoring device 2 comprises a plurality of camera modules 23, and the monitoring devices 2 are provided with a plurality of monitoring areas which are respectively arranged in a campus; the difference lies in that: the recognizer 3 is a smart phone which is connected with the main server 1 through a communication network and is connected with a campus network;
the general server 1 acquires the positioning information of the mobile terminal, determines the monitoring area where the monitored object is located, acquires the video image corresponding to the monitoring area, analyzes the face feature of the monitored object through the video image, compares the face feature with the face feature model, and sends alarm information to prompt monitoring personnel to pay attention to the processing if the face feature is not matched with the face feature model; due to the requirement of saving resources, the identity matching identification can be performed only once after the mobile terminal of the monitored object enters a certain monitoring area, and the identity matching identification is not performed unless the mobile terminal of the monitored object returns to the monitoring area again after entering another monitoring area.
The main server 1 records the positioning information of the mobile terminal to form a moving track graph of the monitored object, and the moving track is bound with real-time; when the moving track of the monitored object needs to be edited, the moving track is divided into a plurality of sections through a monitoring area, video images of the corresponding time of the monitoring area are extracted according to the real-time of the moving track, and the plurality of sections of video images are spliced together according to the time sequence, so that the moving track video of the monitored object can be completed;
the general server 1 receives the picture and video information uploaded by the smart phone through a campus network, analyzes the picture and video according to a preset algorithm, analyzes whether abnormal behaviors occur in scenes in the picture and video image, simultaneously compares the time of the picture and video information with the time of the video information in the system for matching, automatically gathers the associated picture and video information after the matching is successful, sorts the picture and video information, and sends alarm information to prompt monitoring personnel to pay attention to the processing if the matching is abnormal.
The embodiment does not include an input module, but the identity information, the face information and the school entrance reason of the monitored object are input through the mobile terminal, and are uploaded to the main server 1 after being packaged, the code of the mobile terminal is determined after the main server 1 passes the audit, the code is bound with the identity information, and meanwhile, the mobile terminal is connected with the server 1 through wireless communication; compared with the former embodiment, the embodiment can upload the identity information, the face information, the school-going affairs and other information to the general server 1 in advance through the internet, the server 1 can enter the school at any time after passing the audit, and only needs to be connected with the general server 1 through wireless communication before entering the school to send the positioning information to the general server 1 in real time; because the entry module is not arranged, the cost can be obviously reduced, and the method also has the following advantages that the entry module is not required to be searched when the personnel outside the school applies for the permission of the forbidden monitoring area under the special condition, and is more convenient.
The identity information input by the personnel outside the school can adopt an identity card scanning input mode, the general server 1 compares the input human face characteristics with the picture on the identity card, and if the human face characteristics are not matched with the picture, the personnel outside the school can be directly refused to enter the general server; personnel outside the school can apply for the permission to enter the forbidden monitoring area through the mobile terminal, the personnel can be set into multiple options when entering the school, different permissions can be opened according to different options, for example, parents accompanying students can open the permission of dormitory buildings, and other permissions which are not in the options can be manually filled.
The present embodiment is the same as the previous embodiment, and the monitoring area includes an open monitoring area and a forbidden monitoring area, but there are differences: the general server 1 can directly determine whether the monitored object enters a forbidden area or not by acquiring the positioning information of the mobile terminal, if the monitored object enters the forbidden monitoring area, a short message is sent to the corresponding mobile terminal to remind the personnel outside the school to require that the monitored object does not enter the forbidden monitoring area, further, the telephone of the personnel outside the school can be automatically dialed, the recorded reminder is played during the call, and if the personnel outside the school still stays in the forbidden monitoring area, alarm information is sent to prompt the monitoring personnel to pay attention to the monitoring personnel; compared with the previous embodiment, the protection automation degree of the forbidden monitoring area is high, resources are saved, the workload of monitoring personnel can be reduced, and the working efficiency is improved.
The two embodiments can be implemented in a compatible mode or in a single mode, when the two embodiments are implemented in a compatible mode, a person outside the school can choose to enter the school through mobile phone application, the general server 1 monitors the person outside the school in real time through mobile phone positioning information at the moment, information can be input through the input module and enters the school, and the general server 1 is matched with the detection module 21 through the recognizer 3 to monitor the person outside the school in real time. When the mobile terminal is adopted to input information, the mobile terminal replaces the identifier 3.
The monitored object described in the above two embodiments is not limited to an outsider, but may also be an in-school person.
The invention also provides a method for recognizing abnormality in monitoring of a preferred embodiment, which is based on the campus intelligent monitoring system and comprises the following steps as shown in fig. 3:
the first step is as follows: when the laser radar sensor 4 detects that the automobile is overspeed, the automobile is warned through the warning device 5, and overspeed is prompted through a loudspeaker in a monitored area; the automobile overspeed information is uploaded, the main server 1 extracts license plate image features from the monitoring images, performs image recognition to acquire a license plate number, acquires owner identity information through the license plate number, and prompts and displays the license plate number and the owner identity information on the video display module 22 to prompt monitoring personnel to pay attention; when a monitored object enters the campus through a vehicle, license plate information is recorded on the recording module 6, and when an abnormal vehicle needs to be collected, the video editing and processing module 42 acquires all continuous track videos of the vehicle in the campus through the moving track of the vehicle owner.
The second step is that: when the laser radar sensor 4 detects abnormal behaviors of people, the abnormal information is uploaded to the main server 1, the main server 1 intercepts a monitoring image corresponding to the abnormal information, prompts and locally amplifies and displays the monitoring image for a period of time on the video display module 22, meanwhile, the monitoring personnel is prompted to pay attention by red light early warning, whether the abnormal behaviors of people are detected or not is manually confirmed by the monitoring personnel, and if the abnormal behaviors of people are confirmed, the abnormal personnel are warned through the warning device 5; the laser radar sensor 4 judges whether the person falls down or not through the action speed of the detected person and the reflected signal, obtains the body gravity center falling speed of the person in the monitoring area within the preset time interval, and judges whether the body gravity center falling speed is greater than a preset threshold value or not.
The third step: when the abnormal object needs to be proved, the video editing processing module 42 collects and edits the video information of the abnormal object in different areas and time periods, splices a plurality of sections of video images together according to a time sequence, and collects and calls all continuous track videos of the abnormal object in the campus at one time; the server acquires the movement track of the abnormal object through the recognizer 3.
It will be understood that modifications and variations can be made by persons skilled in the art in light of the above teachings and all such modifications and variations are intended to be included within the scope of the invention as defined in the appended claims.
Claims (8)
1. The campus intelligent monitoring system is characterized by comprising a main server (1), a monitoring device (2) and an identifier (3); the recognizer (3) is arranged on a monitored object, and identity information of the monitored object is recorded on the recognizer (3); the monitoring devices (2) are arranged in a plurality of different monitoring areas and are respectively installed in a campus, each monitoring device (2) comprises a detection module (21), a video display module (22) and at least one camera module (23), the monitoring device (2) and the identifier (3) in a single monitoring area form a monitoring subsystem, the monitoring subsystem is connected with the main server (1), and the video display module (22) is located in a monitoring room close to the campus;
a laser radar sensor (4) and a warning device (5) are arranged beside any monitoring device (2), the laser radar sensor (4) is used for detecting abnormal behaviors of a monitored object, and the warning device (5) is used for warning the abnormal object;
the camera module (23) is used for acquiring video images of a monitored area, and the detection module (21) is used for identifying all identifiers (3) in the monitored area through wireless short-wave communication and acquiring identity information on the identifiers (3); the general server (1) receives the video image from the camera module (23) and the identity information from the detection module (21);
the general server (1) stores image information of the monitored object, and the monitored object is automatically identified and distinguished in the monitoring process; the general server (1) is provided with a video editing processing module (11), the video editing processing module (11) is used for calling video information of a monitored object in different monitoring areas at different time periods, splicing a plurality of sections of video images together according to a time sequence, and summarizing all continuous track videos of the monitored object in a campus at one time;
the laser radar sensor (4) is used for detecting abnormal behaviors of people and abnormal behaviors of objects; the abnormal behaviors of the personnel comprise falling and putting up, and the abnormal behaviors of the object comprise automobile overspeed;
the laser radar sensor (4) judges whether the personnel fall down or not through the action speed of the detected personnel and the reflected signals, obtains the body gravity center falling speed of the personnel in the monitoring area within a preset time interval, and judges whether the body gravity center falling speed is greater than a preset threshold value or not.
2. The campus intelligent monitoring system according to claim 1, wherein the recognizer is a smart phone, the smart phone is connected to the main server (1) through a communication network and is connected to a campus network, the main server (1) receives picture and video information uploaded by the smart phone through the campus network, analyzes the picture and the video according to a preset algorithm, analyzes whether abnormal behaviors occur in scenes in the picture and the video image, compares the time of the picture and the video information with the time of the video information in the system to match, automatically gathers the associated picture and video information and recognizes when matching is successful, and sends alarm information to prompt monitoring personnel to pay attention to the monitoring personnel if abnormal behaviors occur.
3. The campus intelligent monitoring system according to claim 1, further comprising an entry module (6), wherein the entry module (6) is configured to enter identity information, face information and school affairs of a monitored object, package the identity information and face information and school affairs, upload the face information and school affairs to the head server (1), and input the identity information into the recognizer (3) after the head server (1) passes the audit; the entry module (6) further comprises a temperature measuring unit for measuring the body temperature of the monitored object and uploading body temperature data to the main server (1), wherein the temperature measuring units are arranged in a plurality and respectively send out an alarm when detecting that the body temperature of the monitored object exceeds a warning value at building gates of monitoring areas.
4. The campus intelligent monitoring system according to claim 1, wherein the monitoring areas include a smooth monitoring area and a forbidden monitoring area, the general server (1) opens a corresponding forbidden monitoring area to enter the right through checking the school entrance matters of the monitored object, and the general server (1) sends alarm information to prompt monitoring personnel to pay attention to the process when detecting an identifier (3) without the right of entrance through the monitoring device (2) in the forbidden monitoring area.
5. The campus intelligent monitoring system according to claim 1, wherein the detection module (21) comprises a detection processor (211), the detection processor (211) is connected with a trigger transmitting unit (212) and a wireless transceiver unit (213), the trigger transmitting unit (212) is configured to periodically transmit a trigger signal, and the wireless transceiver unit (213) is configured to receive the identity information sent by the identifier (3) and send the identity information to the head server (1); the recognizer (3) comprises a recognition processor (31), the recognition processor (31) is connected with a trigger receiving unit (32) and an information sending unit (33), the trigger receiving unit (32) is used for receiving trigger signals, and the information sending unit (33) is used for sending corresponding identity information to the detection module (21).
6. The campus intelligent monitoring system according to claim 1, further comprising a plurality of mobile terminals (7), wherein the mobile terminals (7) are in remote communication with the main server (1), and are configured to receive the alarm information from the main server (1), obtain the processing progress of the abnormal object in real time, and timely feed back the processing progress of the abnormal object to the main server (1).
7. The campus intelligent monitoring system according to claim 1, wherein the main server (1) is further configured to perform intelligent parking lot monitoring, including: when a vehicle enters a parking lot, the main server stores a license plate number identified by an image uploaded by the camera module (23) through the (1) and serves as a unique identification mark; when the vehicle leaves the parking lot, the license plate number of the vehicle is automatically extracted again, the vehicle information is compared and displayed when the card is read, and meanwhile, the incoming image of the vehicle is automatically called for comparison and display, so that whether the vehicles entering and leaving are the same vehicle or not is confirmed.
8. A method for recognizing abnormality in monitoring, based on the campus intelligent monitoring system of claims 1-7, characterized by comprising the following steps:
the first step is as follows: when the laser radar sensor (4) detects that the automobile is overspeed, the automobile is warned through a warning device (5), and overspeed is prompted through a loudspeaker in a monitored area; meanwhile, the automobile overspeed information is uploaded, the main server (1) extracts license plate image features from the monitoring images, performs image recognition to acquire a license plate number, acquires the identity information of an automobile owner through the license plate number, and prompts and displays the license plate number and the identity information of the automobile owner on the video display module (22) to prompt monitoring personnel to pay attention;
the second step is that: when the laser radar sensor (4) detects abnormal behaviors of people, abnormal information is uploaded to the main server (1), a monitoring image corresponding to the abnormal information is intercepted by the main server (1), a video display module (22) is used for prompting and locally amplifying and displaying for a period of time, meanwhile, a red light is used for early warning to prompt monitoring personnel to pay attention, the monitoring personnel manually confirm whether the abnormal behaviors of the people exist or not, and if the abnormal behaviors of the people are confirmed, the abnormal personnel are warned through a warning device (5);
the third step: when the abnormal object needs to be proved, the video editing processing module (42) collects and edits the video information of the abnormal object in different areas and time periods, and splices a plurality of sections of video images together according to the time sequence, so that all continuous track videos of the abnormal object in the campus are collected and called out at one time.
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