CN110853276A - Intelligent security intrusion detection system - Google Patents
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- 238000004458 analytical method Methods 0.000 claims description 34
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- 238000013135 deep learning Methods 0.000 claims description 3
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- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B15/00—Identifying, scaring or incapacitating burglars, thieves or intruders, e.g. by explosives
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Abstract
An intelligent security intrusion detection system comprises a control system, an access control module, a monitoring camera module, a local server, a remote terminal, an image analysis module, a distance measurement module and an intrusion judgment module; the control system is in communication connection with the access control module, the monitoring camera module, the local server, the remote terminal, the image analysis module, the distance measurement module and the target locking module; the image analysis module is in communication connection with the intrusion judgment module; the distance measuring module is in communication connection with the invasion judging module; the intrusion judgment module is in communication connection with the first alarm module; the local server is in communication connection with the local memory, and the local memory is in communication connection with the cloud memory; the remote terminal is in communication connection with the display module and the second alarm module. The invention can analyze and identify the target trying to invade and send an alarm to remind background personnel and surrounding personnel, has high intelligent degree and convenient use, obviously improves the security performance and is beneficial to popularization and use.
Description
Technical Field
The invention relates to the technical field of security, in particular to an intelligent security intrusion detection system.
Background
The existing anti-intrusion system usually takes people's air defense as a main part and is cooperatively carried out by camera monitoring, namely, intrusion behaviors are found by artificially monitoring real-time pictures of various areas, when an intruder is found, security personnel go to the site for precaution, when the intruder is found at night, the security personnel hardly find the intruder due to the sight line problem, and the monitoring personnel are tired when watching monitoring videos for a long time, cannot monitor the intruder at any time due to reasons such as sleepiness and the like, the security effect is poor, the intelligence degree is low, the use is inconvenient, and the improvement is needed.
Disclosure of Invention
Objects of the invention
In order to solve the technical problems in the background art, the invention provides an intelligent security intrusion detection system which can analyze and identify an attempted intrusion target and send an alarm to remind background personnel and surrounding personnel, has high intelligent degree and convenient use, obviously improves security performance and is beneficial to popularization and use.
(II) technical scheme
The invention provides an intelligent security intrusion detection system which comprises a control system, an access control module, a monitoring camera module, a local server, a local memory, a cloud memory, a remote terminal, an image analysis module, a distance measurement module, an intrusion judgment module, a first alarm module, a second alarm module, a display module and a target locking module, wherein the access control module is used for monitoring the intrusion detection of a user;
the control system is in communication connection with the access control module, the monitoring camera module, the local server, the remote terminal, the image analysis module, the distance measurement module and the target locking module, and is used for receiving the monitoring camera video, processing and analyzing related information and sending an instruction to the related module;
the access control module is used for carrying out image acquisition, analysis and judgment on the entering personnel, so that the personnel who successfully authenticate can enter the access control module, and the personnel who fails to authenticate cannot enter the access control module;
the image analysis module is in communication connection with the intrusion judgment module and is used for analyzing the video shot by the monitoring camera module, judging whether the video is an illegally-close human target or not, and if the video is the human target, sending an analysis result and a related image to the intrusion judgment module;
the distance measurement module is in communication connection with the intrusion judgment module and is used for detecting the distance between an illegally-close human body target and the forbidden zone and sending the distance value to the intrusion judgment module at any moment;
the invasion judging module is in communication connection with the first alarm module and is used for judging whether a human body target has an invasion idea or not, and if the human body target has the invasion idea, the invasion judging module controls the first alarm module to give an alarm;
the target locking module locks a certain target when the target is determined to have an invasion idea or enter a forbidden zone, then continuously updates the position of the target according to monitoring information, and synchronously sends the position information of the target to the control system;
the local server is in communication connection with the local memory, and the local memory is in communication connection with the cloud memory; the local server sends information such as monitoring videos to a local memory, the local memory stores relevant information, and a cloud memory backs up the relevant information;
the remote terminal is in communication connection with the display module and the second alarm module; the remote terminal is used for receiving the related information sent by the control system and sending the related information and instructions to the control system to realize bidirectional transmission; the display module displays the related information, and the second alarm module is used for sending an instruction to remind a background operator.
Preferably, the entrance guard module comprises an infrared scanning module, a face recognition module and a recognition result display module;
the infrared scanning module is used for collecting facial images of entering personnel;
the face recognition module is used for matching the acquired face image with face information stored in advance, if the matching is successful, the person is allowed to enter, and if the matching is failed, the person is not allowed to enter;
and the identification result display module is used for displaying the identification result.
Preferably, the entrance guard module further comprises a face registration module;
and the face registration module is used for acquiring and storing face images of people needing to be registered.
Preferably, the image analysis module comprises an image preprocessing module, an appearance characteristic analysis module, a motion characteristic analysis module and a gray characteristic analysis module;
the image preprocessing module is used for receiving the image and preprocessing the image;
the appearance characteristic analysis module is used for analyzing the appearance characteristics of the target and judging whether the appearance characteristics of the target accord with the characteristics of the human body so as to know that the target is the human body target/animal;
the motion characteristic analysis module is used for analyzing the motion characteristics of the target and judging whether the motion characteristics of the target accord with the motion characteristics of the human body or not so as to know that the target is the human body target/animal;
and the gray characteristic analysis module is used for judging whether the gray characteristics of the target accord with the human body characteristics or not and finally judging that the target is a human body target/animal based on the appearance analysis result and the motion analysis result.
Preferably, the image preprocessing module detects the moving target by using a background difference method, the background difference method is greatly influenced by the change of ambient illumination, in order to improve the adaptability of the algorithm to the environment, in the stage of differential image segmentation, an OTSU (over the Top) method with a small error rate is used for obtaining an adaptive segmentation threshold, the segmentation threshold is limited according to an empirical threshold, the error phenomenon caused by mutation or extreme conditions is prevented, in the stage of background updating, the segmented image is combined for updating the background, the original background pixel attribute is reserved in the target area, and the current image and the background image are weighted and averaged in other areas to smooth the change of the environment.
Preferably, if the image analysis module determines that the target is a human target, the image analysis module warns and locks the target, and if the target is an animal, the image analysis module ignores the target.
Preferably, the system also comprises a blacklist personnel management module;
the input end of the blacklist management module is in communication connection with the monitoring camera module, the output end of the blacklist management module is in communication connection with the control system, the remote terminal and the first alarm module and is used for identifying personnel in the blacklist, and when the personnel in the blacklist are close to the forbidden area, the blacklist management module directly sends information to the control system and the remote terminal and controls the first alarm module to give an alarm.
Preferably, the blacklist personnel management module comprises a blacklist database, an image receiving module, an image analyzing module and a comparison and judgment module;
the blacklist database is used for storing the pre-uploaded blacklist personnel information, including names, sexes, ages and facial images of the blacklist personnel;
the image receiving module is in communication connection with the image analysis module and is used for receiving the image and sending the image to the image analysis module;
the image analysis module is in communication connection with the comparison judgment module, analyzes the image information by using a deep learning algorithm to obtain the contour information of the moving object in the preset monitoring area, and sends the analysis result to the comparison judgment module;
and the comparison and judgment module is used for identifying and locking the target according to the contour information and monitoring the position information and the motion state of the target in real time.
Preferably, a first safety range and a second safety range are arranged on the periphery of the forbidden zone, and the first safety range is positioned on the periphery of the second safety range;
when the human body target enters a first safety range, a first alarm module sends an alarm to remind the target of 'not approaching to a forbidden zone'; when the human body target continues to enter the second safety range, the first alarm module sends an alarm to remind the target of 'please leave immediately'; and when the human target continues to enter the second safety range, judging that the human target has an invasion idea.
The technical scheme of the invention has the following beneficial technical effects:
by arranging the entrance guard module, personnel meeting the entrance requirement can enter after being detected by the entrance guard module in the safe passage, if the personnel not meeting the entrance requirement try to invade from other places, the monitoring camera equipment monitors constantly and sends monitoring information to the control system, the image analysis module and the distance measurement module analyze and measure the distance of a human body target, the first alarm module sends out an alarm and reminds the target personnel not to approach, the second alarm module sends out an alarm to remind background personnel to pay attention, the safety performance is excellent, and the intelligent degree is high;
the image analysis module can also judge whether the approaching target is a human body target or an animal, if the approaching target is an animal, the approaching target is ignored, the intelligent degree is high, and the using effect is good;
through setting up the blacklist management module, pay close attention to and monitor the personnel that get into the blacklist, in case the personnel that list into the blacklist appear nearby, then first alarm module and second alarm module all send out the police dispatch newspaper, remind personnel and backstage supporter around to pay attention to, and scare away the personnel who tries to invade, further improve the result of use.
Drawings
Fig. 1 is a block diagram of a control system of an intelligent security intrusion detection system according to the present invention.
Fig. 2 is a system block diagram of an image analysis module in the intelligent security intrusion detection system according to the present invention.
Fig. 3 is a system block diagram of an access control module in the intelligent security intrusion detection system according to the present invention.
Fig. 4 is a system block diagram of a blacklist management module in an intelligent security intrusion detection system according to the present invention.
Fig. 5 is a block diagram of a sub-system of a blacklist management module in an intelligent security intrusion detection system according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
As shown in fig. 1 to 5, the intelligent security intrusion detection system provided by the present invention includes a control system, an access control module, a monitoring camera module, a local server, a local memory, a cloud memory, a remote terminal, an image analysis module, a distance measurement module, an intrusion judgment module, a first alarm module, a second alarm module, a display module, and a target locking module;
the control system is in communication connection with the access control module, the monitoring camera module, the local server, the remote terminal, the image analysis module, the distance measurement module and the target locking module, and is used for receiving the monitoring camera video, processing and analyzing related information and sending an instruction to the related module;
the access control module is used for carrying out image acquisition, analysis and judgment on the entering personnel, so that the personnel who successfully authenticate can enter the access control module, and the personnel who fails to authenticate cannot enter the access control module;
the image analysis module is in communication connection with the intrusion judgment module and is used for analyzing the video shot by the monitoring camera module, judging whether the video is an illegally-close human target or not, and if the video is the human target, sending an analysis result and a related image to the intrusion judgment module;
the distance measurement module is in communication connection with the intrusion judgment module and is used for detecting the distance between an illegally-close human body target and the forbidden zone and sending the distance value to the intrusion judgment module at any moment;
the invasion judging module is in communication connection with the first alarm module and is used for judging whether a human body target has an invasion idea or not, and if the human body target has the invasion idea, the invasion judging module controls the first alarm module to give an alarm;
the target locking module locks a certain target when the target is determined to have an invasion idea or enter a forbidden zone, then continuously updates the position of the target according to monitoring information, and synchronously sends the position information of the target to the control system;
the local server is in communication connection with the local memory, and the local memory is in communication connection with the cloud memory; the local server sends information such as monitoring videos to a local memory, the local memory stores relevant information, and a cloud memory backs up the relevant information;
the remote terminal is in communication connection with the display module and the second alarm module; the remote terminal is used for receiving the related information sent by the control system and sending the related information and instructions to the control system to realize bidirectional transmission; the display module displays the related information, and the second alarm module is used for sending an instruction to remind a background operator.
In an optional embodiment, the entrance guard module comprises an infrared scanning module, a face recognition module and a recognition result display module; the infrared scanning module is used for collecting facial images of entering personnel; the face recognition module is used for matching the acquired face image with face information stored in advance, if the matching is successful, the person is allowed to enter, and if the matching is failed, the person is not allowed to enter; and the identification result display module is used for displaying the identification result.
In an optional embodiment, the access control module further comprises a face registration module; and the face registration module is used for acquiring and storing face images of people needing to be registered.
In an optional embodiment, the image analysis module comprises an image preprocessing module, an appearance feature analysis module, a motion feature analysis module and a gray level feature analysis module; the image preprocessing module is used for receiving the image and preprocessing the image; the appearance characteristic analysis module is used for analyzing the appearance characteristics of the target and judging whether the appearance characteristics of the target accord with the characteristics of the human body so as to know that the target is the human body target/animal; the motion characteristic analysis module is used for analyzing the motion characteristics of the target and judging whether the motion characteristics of the target accord with the motion characteristics of the human body or not so as to know that the target is the human body target/animal; and the gray characteristic analysis module is used for judging whether the gray characteristics of the target accord with the human body characteristics or not and finally judging that the target is a human body target/animal based on the appearance analysis result and the motion analysis result.
In an optional embodiment, the image preprocessing module detects a moving target by using a background difference method, the background difference method is greatly influenced by the change of ambient illumination, in order to improve the adaptability of the algorithm to the environment, in a differential image segmentation stage, an OTSU (optical short distance unit) method with a small error rate is used for obtaining an adaptive segmentation threshold, the segmentation threshold is limited according to an empirical threshold, the error phenomenon caused by mutation or extreme conditions is prevented, in a background updating stage, the background is updated by combining segmented images, the original background pixel attribute is reserved in a target area, and the current image and the background image are weighted and averaged in other areas to smooth the change of the environment.
In an alternative embodiment, if the image analysis module determines that the target is a human target, the target is warned and locked, and if the target is an animal, the target is ignored.
In an optional embodiment, the system further comprises a blacklist personnel management module; the input end of the blacklist management module is in communication connection with the monitoring camera module, the output end of the blacklist management module is in communication connection with the control system, the remote terminal and the first alarm module and is used for identifying personnel in the blacklist, and when the personnel in the blacklist are close to the forbidden area, the blacklist management module directly sends information to the control system and the remote terminal and controls the first alarm module to give an alarm.
In an optional embodiment, the blacklist personnel management module comprises a blacklist database, an image receiving module, an image analyzing module and a comparison and judgment module; the blacklist database is used for storing the pre-uploaded blacklist personnel information, including names, sexes, ages and facial images of the blacklist personnel; the image receiving module is in communication connection with the image analysis module and is used for receiving the image and sending the image to the image analysis module; the image analysis module is in communication connection with the comparison judgment module, analyzes the image information by using a deep learning algorithm to obtain the contour information of the moving object in the preset monitoring area, and sends the analysis result to the comparison judgment module; and the comparison and judgment module is used for identifying and locking the target according to the contour information and monitoring the position information and the motion state of the target in real time.
In an optional embodiment, a first safety range and a second safety range are arranged on the periphery of the forbidden zone, and the first safety range is positioned on the periphery of the second safety range;
when the human body target enters a first safety range, a first alarm module sends an alarm to remind the target of 'not approaching to a forbidden zone'; when the human body target continues to enter the second safety range, the first alarm module sends an alarm to remind the target of 'please leave immediately'; and when the human target continues to enter the second safety range, judging that the human target has an invasion idea.
According to the invention, personnel who meet the entrance requirement can enter after being detected by the entrance guard module in the safety channel, if the personnel who do not meet the entrance requirement try to invade from other places, the monitoring camera equipment carries out constant monitoring and sends monitoring information to the control system, the image analysis module and the distance measurement module carry out analysis and distance measurement on a human body target, the first alarm module gives an alarm and reminds the target personnel not to approach, the second alarm module gives an alarm to remind background personnel to pay attention, the safety performance is excellent, and the intelligent degree is high;
the image analysis module can also judge whether the approaching target is a human body target or an animal, if the approaching target is an animal, the approaching target is ignored, the intelligent degree is high, and the using effect is good;
and through setting up the blacklist management module, can pay close attention to and monitor the personnel who get into the blacklist, in case the personnel who lists into the blacklist appear nearby, then first alarm module and second alarm module all send out the police dispatch newspaper, remind personnel and backstage supporter around to pay attention to, and scare away the personnel who tries to invade, further improve the result of use.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (9)
1. An intelligent security intrusion detection system is characterized by comprising a control system, an access control module, a monitoring camera module, a local server, a local memory, a cloud memory, a remote terminal, an image analysis module, a distance measurement module, an intrusion judgment module, a first alarm module, a second alarm module, a display module and a target locking module;
the control system is in communication connection with the access control module, the monitoring camera module, the local server, the remote terminal, the image analysis module, the distance measurement module and the target locking module, and is used for receiving the monitoring camera video, processing and analyzing related information and sending an instruction to the related module;
the access control module is used for carrying out image acquisition, analysis and judgment on the entering personnel, so that the personnel who successfully authenticate can enter the access control module, and the personnel who fails to authenticate cannot enter the access control module;
the image analysis module is in communication connection with the intrusion judgment module and is used for analyzing the video shot by the monitoring camera module, judging whether the video is an illegally-close human target or not, and if the video is the human target, sending an analysis result and a related image to the intrusion judgment module;
the distance measurement module is in communication connection with the intrusion judgment module and is used for detecting the distance between an illegally-close human body target and the forbidden zone and sending the distance value to the intrusion judgment module at any moment;
the invasion judging module is in communication connection with the first alarm module and is used for judging whether a human body target has an invasion idea or not, and if the human body target has the invasion idea, the invasion judging module controls the first alarm module to give an alarm;
the target locking module locks a certain target when the target is determined to have an invasion idea or enter a forbidden zone, then continuously updates the position of the target according to monitoring information, and synchronously sends the position information of the target to the control system;
the local server is in communication connection with the local memory, and the local memory is in communication connection with the cloud memory; the local server sends information such as monitoring videos to a local memory, the local memory stores relevant information, and a cloud memory backs up the relevant information;
the remote terminal is in communication connection with the display module and the second alarm module; the remote terminal is used for receiving the related information sent by the control system and sending the related information and instructions to the control system to realize bidirectional transmission; the display module displays the related information, and the second alarm module is used for sending an instruction to remind a background operator.
2. The intelligent security intrusion detection system according to claim 1, wherein the access control module comprises an infrared scanning module, a face recognition module and a recognition result display module;
the infrared scanning module is used for collecting facial images of entering personnel;
the face recognition module is used for matching the acquired face image with face information stored in advance, if the matching is successful, the person is allowed to enter, and if the matching is failed, the person is not allowed to enter;
and the identification result display module is used for displaying the identification result.
3. The intelligent security intrusion detection system according to claim 1 or 2, wherein the access control module further comprises a face registration module;
and the face registration module is used for acquiring and storing face images of people needing to be registered.
4. The intelligent security intrusion detection system according to claim 1, wherein the image analysis module comprises an image preprocessing module, an appearance feature analysis module, a motion feature analysis module and a gray feature analysis module;
the image preprocessing module is used for receiving the image and preprocessing the image;
the appearance characteristic analysis module is used for analyzing the appearance characteristics of the target and judging whether the appearance characteristics of the target accord with the characteristics of the human body so as to know that the target is the human body target/animal;
the motion characteristic analysis module is used for analyzing the motion characteristics of the target and judging whether the motion characteristics of the target accord with the motion characteristics of the human body or not so as to know that the target is the human body target/animal;
and the gray characteristic analysis module is used for judging whether the gray characteristics of the target accord with the human body characteristics or not and finally judging that the target is a human body target/animal based on the appearance analysis result and the motion analysis result.
5. The intelligent security intrusion detection system according to claim 4, wherein the image preprocessing module detects the moving object by using a background difference method, the background difference method is greatly influenced by the change of ambient light, in order to improve the adaptability of the algorithm to the environment, in the differential image segmentation stage, an OTSU method with a small error rate is used to obtain an adaptive segmentation threshold, the segmentation threshold is limited according to an empirical threshold, the error phenomenon caused by sudden change or extreme conditions is prevented, in the background update stage, the background is updated by combining the segmented images, the original background pixel attribute is retained in the target area, and the current image and the background image are weighted and averaged in other areas to smooth the change of the environment.
6. The intelligent security intrusion detection system according to claim 1 or 4, wherein if the image analysis module determines that the target is a human target, the target is warned and locked, and if the target is an animal, the target is ignored.
7. The intelligent security intrusion detection system according to claim 1, further comprising a blacklist personnel management module;
the input end of the blacklist management module is in communication connection with the monitoring camera module, the output end of the blacklist management module is in communication connection with the control system, the remote terminal and the first alarm module and is used for identifying personnel in the blacklist, and when the personnel in the blacklist are close to the forbidden area, the blacklist management module directly sends information to the control system and the remote terminal and controls the first alarm module to give an alarm.
8. The intelligent security intrusion detection system according to claim 7, wherein the blacklist personnel management module comprises a blacklist database, an image receiving module, an image analyzing module and a comparison and judgment module;
the blacklist database is used for storing the pre-uploaded blacklist personnel information, including names, sexes, ages and facial images of the blacklist personnel;
the image receiving module is in communication connection with the image analysis module and is used for receiving the image and sending the image to the image analysis module;
the image analysis module is in communication connection with the comparison judgment module, analyzes the image information by using a deep learning algorithm to obtain the contour information of the moving object in the preset monitoring area, and sends the analysis result to the comparison judgment module;
and the comparison and judgment module is used for identifying and locking the target according to the contour information and monitoring the position information and the motion state of the target in real time.
9. The intelligent security intrusion detection system according to claim 1, wherein a first safety range and a second safety range are provided at the periphery of the forbidden zone, the first safety range being located at the periphery of the second safety range;
when the human body target enters a first safety range, a first alarm module sends an alarm to remind the target of 'not approaching to a forbidden zone'; when the human body target continues to enter the second safety range, the first alarm module sends an alarm to remind the target of 'please leave immediately'; and when the human target continues to enter the second safety range, judging that the human target has an invasion idea.
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