CN113256925A - Intelligent building intrusion alarm method, system and storage medium thereof - Google Patents
Intelligent building intrusion alarm method, system and storage medium thereof Download PDFInfo
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- CN113256925A CN113256925A CN202110500941.1A CN202110500941A CN113256925A CN 113256925 A CN113256925 A CN 113256925A CN 202110500941 A CN202110500941 A CN 202110500941A CN 113256925 A CN113256925 A CN 113256925A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- 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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/44—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
- G01R22/061—Details of electronic electricity meters
- G01R22/063—Details of electronic electricity meters related to remote communication
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
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Abstract
The invention relates to an intelligent building intrusion alarm method, a system and a storage medium thereof, which can roughly judge whether a person takes or places an article from a building or not from the weight by comparing the weight before and after the person whose face verification information and face identification information are unmatched enters and exits the building.
Description
Technical Field
The invention relates to the technical field of intelligent buildings, in particular to an intelligent building intrusion alarm method and system.
Background
The core of the intelligent building is a 5A system, and the intelligent building organically integrates the 5 systems through a communication network system, and integrates the structure, the system, the service, the management and the optimized combination of the structure, the system, the service and the management, so that the building has the characteristics of safety, convenience, high efficiency and energy conservation. The intelligent building is a discipline with cross property at the edge, which relates to computer technology, automatic control, communication technology, building technology and the like, and more new technologies are applied to the intelligent building.
In the aspect of intrusion alarm of the existing intelligent building, a face recognition system is usually arranged at an entrance to perform face recognition on people entering the building, the recognized face information is compared with information input into a face database, if the recognized face information is not in the face database, the people entering the building are judged as strangers, and then alarm information is sent out.
The above prior art solutions have the following drawbacks: the intrusion alarm method only distinguishes people entering a building through the human face, and does not judge the behavior mode of people judged to be strangers to a certain extent.
Disclosure of Invention
The application provides an intelligent building intrusion alarm method for judging the behavior of strangers entering a building.
The intelligent building intrusion alarm method adopts the following technical scheme:
an intelligent building intrusion alarm method, comprising the steps of: judging whether the personnel is in an entering state or an exiting state according to the moving track of the personnel in the face recognition area; when a person enters a face recognition area, acquiring face recognition information of the person; comparing the face identification information with face verification information stored in a database, and judging whether the face verification information is matched with the face identification information; if not, recording the weight of the person corresponding to the face identification information as entering weight information; when the person is in an exit state in the face recognition area, collecting face recognition information of the person; comparing the face identification information with face verification information stored in a database, and judging whether the face verification information is matched with the face identification information; if not, recording the weight of the person corresponding to the face identification information as exit weight information; according to the face identification information, comparing the entry weight information and the exit weight information which correspond to the same face identification information; and judging whether the difference value of the exiting weight information and the entering weight information is greater than a weight floating threshold value or not, and if so, sending a first alarm signal.
By adopting the technical scheme, when the face verification information of the person in the entering state is not matched with the face identification information, the information of the person entering the building is not recorded into the data, and the person may be a stranger of the building and needs to pay attention to the behavior of the person. The weight of the person entering the building and the weight of the person leaving the building can be obtained by recording the weight information of the person entering the building and the weight information of the person exiting the building, and whether the person can take articles from the building or put articles into the building can be obtained by judging whether the difference value between the weight information of the person exiting the building and the weight information of the person entering the building is larger than the weight floating threshold value. And under the condition that the difference value between the exit weight information and the entry weight information is greater than the weight floating threshold value, if the exit weight information is greater than the entry weight information, the person takes the article from the building, otherwise, the person puts the article into the building.
Optionally, the method for determining that the person enters or exits the state according to the movement trajectory of the person in the face recognition area includes: the face recognition area is divided into a first area and a second area, and it is determined that a person is in an entry state when the person moves from the first area to the second area, and it is determined that the person is in an exit state when the person moves from the second area to the first area.
By adopting the technical scheme, when a person enters the entrance, the position points of the person in the first area and the second area are collected according to a certain frequency, the position points are connected according to the time sequence to form a moving track, the moving track is moved from the first area to the second area to judge that the person enters the entrance state, and the moving track is moved from the second area to the first area to judge that the person exits the exit state.
Optionally, the method further includes: when a person is in an entering state, when the collected face verification information is not matched with the face identification information, collecting an entering whole body image of the corresponding person; when the person is in a quitting state, when the collected face verification information is not matched with the face identification information, collecting a quitting whole body image of the corresponding person; and comparing the entering whole body image with the exiting whole body image, judging whether a distinguishing characteristic image exists or not, and if so, sending a second alarm signal.
By adopting the technical scheme, on the basis of weight comparison, when people with unmatched face verification information and face identification information enter a building, objects which are carried and placed in the building are lighter, or objects in the building which are carried when people exit from the building are lighter, so that the judgment of taking the objects cannot be carried out through the weight. Therefore, image recognition is added to identify the articles carried by the personnel so as to judge whether the personnel takes or puts the articles from the building, and the comprehensiveness of the inspection is improved.
Optionally, the method further includes: calculating the average power consumption of the power consumption area within the first preset time; and when the personnel is in an entering state and the face verification information is not matched with the face identification information, judging whether the difference value of the real-time power consumption and the average power consumption of the power consumption area exceeds the electric quantity floating limit value or not, and if so, sending a third alarm signal.
By adopting the technical scheme, when people in the building are in an entering state and the face verification information is not matched with the face identification information, the fact that strangers exist in the building is indicated, at the moment, the electric quantity of the electricity utilization area is kept in a stable state in the state that no people exist in the building at night, and whether the electric appliances in the electricity utilization area are operated by the people in the building can be judged by comparing whether the difference value between the real-time electricity utilization power and the average electricity utilization power of the electricity utilization area exceeds the floating limit value.
Optionally, the power supply of the power utilization area corresponding to the condition that the real-time power utilization is higher than the average power utilization power electric quantity floating limit value is turned off.
By adopting the technical scheme, the electric appliances in the electricity utilization area are prevented from being operated by strangers entering a building, and if the electric appliances are computers, the data in the computers can be prevented from being read by the strangers.
Optionally, after the power supply of the electricity utilization area is turned off, when no person is in an entering state, the power supply of the electricity utilization area with the power supply turned off is recovered.
By adopting the technical scheme, the power supply in the power utilization area is recovered, and the electric appliance can normally work.
In a second aspect, the present application provides an intelligent building intrusion alarm system, which adopts the following technical scheme:
an intelligent building intrusion alarm system comprising: the state judgment module is used for judging whether the personnel is in an entering state or an exiting state according to the moving track of the personnel in the face recognition area; the face acquisition module is used for acquiring face identification information of the personnel when the personnel enters the face identification area and acquiring the face identification information of the personnel when the personnel exits the face identification area; the face comparison module is used for comparing the face identification information with face verification information stored in the database and judging whether the face verification information is matched with the face identification information; the entrance weight recording module is used for recording the weight of the person corresponding to the face identification information as entrance weight information when the face verification information of the person in the entrance state is not matched with the face identification information; the exit weight recording module is used for recording the weight of the person corresponding to the face identification information as exit weight information when the face verification information of the person in the exit state is not matched with the face identification information; the weight comparison module is used for comparing the entering weight information and the exiting weight information which correspond to the same face identification information according to the face identification information; and judging whether the difference value of the exiting weight information and the entering weight information is larger than a weight floating threshold value. The first alarm module is used for sending out a first alarm signal when the difference value between the exiting weight information and the entering weight information is larger than the weight floating threshold value.
Optionally, the system further includes: the entering whole body image acquisition module is used for acquiring an entering whole body image of a corresponding person when the acquired face verification information is not matched with the face identification information under the entering state of the person; the exit whole-body image acquisition module is used for acquiring an exit whole-body image of a corresponding person when the acquired face verification information is not matched with the face identification information when the person is in an exit state; the whole body image comparison module is used for comparing the entering whole body image with the exiting whole body image and judging whether a distinguishing characteristic image exists or not; and the second alarm module is used for sending out a second alarm signal when the distinguishing characteristic image exists.
Optionally, the system further includes: the average power consumption calculation module is used for calculating the average power consumption of the power consumption area within the first preset time; the power utilization comparison module is used for judging whether the difference value between the real-time power utilization power and the average power utilization power of the power utilization area exceeds the electric quantity floating limit value or not when the personnel is in an entering state and the face verification information is not matched with the face identification information; and the third alarm module is used for sending out a third alarm signal when the difference value between the real-time electricity utilization power and the average electricity utilization power of the electricity utilization area exceeds the floating limit value.
In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium storing a computer program that can be loaded by a processor and executes the above-mentioned intelligent building intrusion alert method.
In summary, the present application includes at least one of the following beneficial technical effects:
1. by comparing the weight of the person whose face verification information and face recognition information do not match before and after entering and exiting the building, whether the person takes or places an article from the building can be roughly judged from the weight.
2. By comparing the whole-body image before and after the person whose face verification information and face recognition information do not match enters and exits the building, it can be roughly judged from the appearance whether the person takes or places an article from the building.
3. When the person whose face verification information is not matched with the face identification information is located in the building, if the real-time power consumption power of the power consumption area is abnormal, the person may operate the electric appliance of the power consumption area, and the power supply of the power consumption area is turned off at the moment, so that the person can be prevented from operating the electric appliance.
Drawings
FIG. 1 is a first flowchart of an intelligent building intrusion alarm method according to an embodiment of the present application;
fig. 2 is a flowchart of an intelligent building intrusion alarm method according to an embodiment of the present application.
FIG. 3 is a flowchart of an intelligent building intrusion alarm method according to an embodiment of the present application;
fig. 4 is a system block diagram of an intelligent building intrusion alarm system according to an embodiment of the present application.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
The embodiment of the invention provides an intelligent building intrusion alarm method, which comprises the following steps of with reference to fig. 1:
s101: and judging whether the personnel is in an entering state or an exiting state according to the moving track of the personnel in the face recognition area.
In the embodiment of the application, the face recognition area is arranged on the ground inside and outside each entrance of the building, and the face recognition area is an area which is necessary for people to pass through the entrance and the exit so as to perform face recognition on people who pass through the building. The face recognition area is divided into a first area and a second area, wherein the first area is located outside the entrance and the exit, and the second area is located inside the entrance and the exit. The moving track of the personnel is acquired by a camera which acquires the face image of the face recognition area, when the personnel enters the entrance, the position points of the personnel in the first area and the second area are acquired according to a certain frequency, the position points are connected according to the time sequence to form the moving track, and when the moving track is from the first area to the second area, the entering state is obtained. On the contrary, when the person goes out from the entrance, the moving track is from the second area to the first area, namely the exit state.
S102: when the person enters the face recognition area, the face recognition information of the person is collected.
In the embodiment of the application, the face recognition information of the person is collected by a camera or a camera, the camera or the camera is used for collecting images or video streams containing the face, the face is automatically detected and tracked in the images, and the face recognition information is obtained by carrying out face recognition collection on the detected face.
S103: and comparing the face identification information with face verification information stored in a database, and judging whether the face verification information is matched with the face identification information.
In the embodiment of the present application, the face verification information stored in the database is entered into the database in advance, such as resident people in a building, or other people entered according to actual needs. And matching the face verification information with the face recognition information to distinguish whether the corresponding person is a resident person or a person recorded in the database, and if not, considering that the corresponding person is a stranger for the building. In the present application, for convenience of description, the persons whose face identification information and face verification information do not match as mentioned below may be described as strangers.
S104: and if not, recording the weight of the person corresponding to the face identification information as entering weight information.
S105: when the person is in an exit state in the face recognition area, collecting face recognition information of the person;
s106: comparing the face identification information with face verification information stored in a database, and judging whether the face verification information is matched with the face identification information;
s107: if not, recording the weight of the person corresponding to the face identification information as exit weight information;
s108: according to the face identification information, comparing the entry weight information and the exit weight information which correspond to the same face identification information; and judging whether the difference value of the exiting weight information and the entering weight information is larger than a weight floating threshold value.
In this embodiment of the application, in the above steps S104 to S108, when the face identification information is not matched with the face verification information in the database, the behavior of the person corresponding to the face identification information entering the building is considered to need to be monitored, and there may be a potentially harmful behavior when the person enters the building. One possible action is to carry items into the building and leave items inside the building, which may be dangerous items. Another possible act is to carry items out of the building, which may be a theft. Therefore, the entering-state stranger is weighed in step S104 to obtain entering-weight information, and the exiting-state stranger is weighed in step S107 to obtain exiting-weight information. And comparing the entry weight and the exit weight of the same person according to the face recognition information, and calculating a difference value between the exit weight information and the entry weight information, wherein the difference value is an absolute value, when the difference value is larger than a preset floating threshold value, the stranger is indicated to bring an article into the building and leave or bring the article out of the building, if the exit weight information is larger than the entry weight information, the person takes the article from the building, otherwise, the person puts the article into the building. It should be noted that strangers do not necessarily enter and exit the building through the same entrance or different entrances and exits. And a weighing structure is arranged on the ground of the face recognition area so as to weigh the weight entering the face recognition area.
S109: if yes, a first alarm signal is sent out.
In the embodiment of the invention, the mode of sending the first alarm signal can directly carry out text or pattern prompt through a display of a computer or send out sound prompt through an audio unit. The first alarm signal can also be sent to the corresponding terminal by the computer in a wireless or wired mode for prompting.
Referring to fig. 2, the embodiment of the present application further includes the following method:
s201: when a person is in an entering state, when the collected face verification information is not matched with the face identification information, collecting an entering whole body image of the corresponding person;
s202: when the person is in a quitting state, when the collected face verification information is not matched with the face identification information, collecting a quitting whole body image of the corresponding person;
s203: and comparing the entering whole body image with the exiting whole body image, judging whether a distinguishing characteristic image exists or not, and if so, sending a second alarm signal.
In the above steps S201 to S203, the acquisition of the whole-body image and the acquisition of the whole-body image are both completed by the camera or the video camera which acquires the face recognition information. In the above steps S104 to S108, the stranger may have a small mass of articles carried in or out of the building and cannot determine the articles by the weight, and if the stranger leaves the building with several paper documents, the stranger may have a small mass of paper and cannot determine the articles by the weight. Therefore, comparison between the whole-body entering image and the whole-body exiting image of the stranger is added, the image which is distinguished between the whole-body exiting image and the whole-body entering image is judged to be the distinguishing characteristic image, and when the distinguishing characteristic image is identified, the stranger is indicated to bring in or out the article, so that the detection comprehensiveness is improved, and the missing judgment is reduced. The second alarm signal is sent out in one or more of the multiple sending modes of the first alarm signal.
Referring to fig. 3, the embodiment of the present application further includes the following method:
s301: and calculating the average power consumption of the power consumption area in the first preset time.
In this embodiment of the application, the first preset time is a time range, and the time "when the person is in the entering state and the face verification information is not matched with the face identification information" may be used as the deadline, and a period of time before the deadline may be used as the first preset time. The average power usage may be a power usage amount per second for a first preset time.
S302: and when the personnel is in an entering state and the face verification information is not matched with the face identification information, judging whether the difference value of the real-time power consumption and the average power consumption of the power consumption area exceeds the electric quantity floating limit value or not, and if so, sending a third alarm signal.
In the embodiment of the application, the person is in an entering state, the face verification information is not matched with the face identification information, namely a stranger is in a building, and at the moment, the stranger possibly performs improper operation on the electric appliance in the electricity utilization area, so that the difference value between the real-time electricity utilization power and the average electricity utilization power of the electricity utilization area can be monitored, whether the difference value exceeds the electric quantity floating limit value or not is judged, and the difference value is an absolute value. For example, if a stranger opens a computer in the electricity utilization area and wants to read and copy the data, the real-time electricity utilization power of the electricity utilization area is increased, and is larger than the average electricity utilization power and exceeds the electricity floating limit value, so that a third alarm signal is triggered. The same is true for strangers to turn off or turn on other electrical appliances. The third alarm signal is sent out in one or more of the multiple sending modes of the first alarm signal. The power utilization area of a building can be divided into a plurality of power utilization areas for independent monitoring, the average detected power utilization value is reduced, and when the power utilization of the power utilization equipment of the power utilization areas changes, the real-time power utilization of the power utilization areas is shifted greatly, so that the detection sensitivity can be improved.
S303: and closing the power supply of the power utilization area corresponding to the power utilization area with the real-time power higher than the average power utilization power electric quantity floating limit value.
In the embodiment of the application, when the real-time power consumption is higher than the average power consumption electric quantity floating limit value, for example, a stranger may turn on a computer to copy data or turn on other equipment, and in order to avoid the situation, the power supply of the power consumption area is disconnected, and actions such as copying data by the stranger are avoided.
S304: and after the power supply of the power utilization area is turned off, when no person is in an entering state, the power supply of the power utilization area with the power supply turned off is recovered.
In the embodiment of the application, the power supply in the power utilization area is recovered, and the electric appliance can work normally.
In steps S301 to S304, the defect that quality detection and image detection cannot judge whether a stranger operates an electrical appliance in the building in steps S104 to S108 and steps S201 to S203 is overcome, and judgment of behavior of the stranger by the scheme is further improved.
The present application further provides an intelligent building intrusion alarm system, which corresponds to the intelligent building intrusion alarm method in the above embodiments one to one, as shown in fig. 4, including:
the state judgment module is used for judging whether the personnel is in an entering state or an exiting state according to the moving track of the personnel in the face recognition area;
the face acquisition module is used for acquiring face identification information of the personnel when the personnel enters the face identification area and acquiring the face identification information of the personnel when the personnel exits the face identification area;
the face comparison module is used for comparing the face identification information with face verification information stored in the database and judging whether the face verification information is matched with the face identification information;
the entrance weight recording module is used for recording the weight of the person corresponding to the face identification information as entrance weight information when the face verification information of the person in the entrance state is not matched with the face identification information;
the exit weight recording module is used for recording the weight of the person corresponding to the face identification information as exit weight information when the face verification information of the person in the exit state is not matched with the face identification information;
the weight comparison module is used for comparing the entering weight information and the exiting weight information which correspond to the same face identification information according to the face identification information; and judging whether the difference value of the exiting weight information and the entering weight information is larger than a weight floating threshold value.
The first alarm module is used for sending out a first alarm signal when the difference value between the exiting weight information and the entering weight information is larger than the weight floating threshold value.
The entering whole body image acquisition module is used for acquiring an entering whole body image of a corresponding person when the acquired face verification information is not matched with the face identification information under the entering state of the person;
the exit whole-body image acquisition module is used for acquiring an exit whole-body image of a corresponding person when the acquired face verification information is not matched with the face identification information when the person is in an exit state;
and the whole body image comparison module is used for comparing the entering whole body image with the exiting whole body image and judging whether a distinguishing characteristic image exists or not.
And the second alarm module is used for sending out a second alarm signal when the distinguishing characteristic image exists.
The average power consumption calculation module is used for calculating the average power consumption of the power consumption area within the first preset time;
the power utilization comparison module is used for judging whether the difference value between the real-time power utilization power and the average power utilization power of the power utilization area exceeds the electric quantity floating limit value or not when the personnel is in an entering state and the face verification information is not matched with the face identification information;
and the third alarm module is used for sending out a third alarm signal when the difference value between the real-time electricity utilization power and the average electricity utilization power of the electricity utilization area exceeds the floating limit value.
The application also provides a computer readable storage medium, which stores a computer program capable of being loaded by a processor and executing the intelligent building intrusion alarm method.
The computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Claims (10)
1. An intelligent building intrusion alarm method is characterized by comprising the following steps:
judging whether the personnel is in an entering state or an exiting state according to the moving track of the personnel in the face recognition area;
when a person enters a face recognition area, acquiring face recognition information of the person;
comparing the face identification information with face verification information stored in a database, and judging whether the face verification information is matched with the face identification information;
if not, recording the weight of the person corresponding to the face identification information as entering weight information;
when the person is in an exit state in the face recognition area, collecting face recognition information of the person;
comparing the face identification information with face verification information stored in a database, and judging whether the face verification information is matched with the face identification information;
if not, recording the weight of the person corresponding to the face identification information as exit weight information;
according to the face identification information, comparing the entry weight information and the exit weight information which correspond to the same face identification information, and judging whether the difference value of the exit weight information and the entry weight information is greater than a weight floating threshold value;
if yes, a first alarm signal is sent out.
2. The intelligent building intrusion alarm method according to claim 1, wherein the method for judging whether the person is in the entering state or the exiting state according to the moving track of the person in the face recognition area comprises the following steps:
when a person enters the entrance, the position points of the person in the first area and the position points in the second area are collected according to a certain frequency, the position points are connected according to the time sequence to form a moving track, the moving track is moved from the first area to the second area to judge that the person enters the entrance, and the moving track is moved from the second area to the first area to judge that the person exits the entrance.
3. The intelligent building intrusion alert method according to claim 1, further comprising:
when a person is in an entering state, when the collected face verification information is not matched with the face identification information, collecting an entering whole body image of the corresponding person;
when the person is in a quitting state, when the collected face verification information is not matched with the face identification information, collecting a quitting whole body image of the corresponding person;
and comparing the entering whole body image with the exiting whole body image, judging whether a distinguishing characteristic image exists or not, and if so, sending a second alarm signal.
4. The intelligent building intrusion alert method according to claim 1, further comprising:
calculating the average power consumption of the power consumption area within the first preset time;
and when the personnel is in an entering state and the face verification information is not matched with the face identification information, judging whether the difference value of the real-time power consumption and the average power consumption of the power consumption area exceeds the electric quantity floating limit value or not, and if so, sending a third alarm signal.
5. The intelligent building intrusion alarm method according to claim 4, wherein the power supply of the power utilization area corresponding to the condition that the real-time power utilization is higher than the average power utilization power electric quantity floating limit value is turned off.
6. The intelligent building intrusion alarm method according to claim 5, wherein after the power supply of the power consumption area is turned off, when no person is in the entering state, the power supply of the power consumption area with the power supply turned off is recovered.
7. An intelligent building intrusion alarm system, comprising:
the state judgment module is used for judging whether the personnel is in an entering state or an exiting state according to the moving track of the personnel in the face recognition area;
the face acquisition module is used for acquiring face identification information of the personnel when the personnel enters the face identification area and acquiring the face identification information of the personnel when the personnel exits the face identification area;
the face comparison module is used for comparing the face identification information with face verification information stored in the database and judging whether the face verification information is matched with the face identification information;
the entrance weight recording module is used for recording the weight of the person corresponding to the face identification information as entrance weight information when the face verification information of the person in the entrance state is not matched with the face identification information;
the exit weight recording module is used for recording the weight of the person corresponding to the face identification information as exit weight information when the face verification information of the person in the exit state is not matched with the face identification information;
the weight comparison module is used for comparing the entering weight information and the exiting weight information which correspond to the same face identification information according to the face identification information; judging whether the difference value of the exiting weight information and the entering weight information is larger than a weight floating threshold value or not;
the first alarm module is used for sending out a first alarm signal when the difference value between the exiting weight information and the entering weight information is larger than the weight floating threshold value.
8. The intelligent building intrusion alarm system of claim 7, wherein the system further comprises:
the entering whole body image acquisition module is used for acquiring an entering whole body image of a corresponding person when the acquired face verification information is not matched with the face identification information under the entering state of the person;
the exit whole-body image acquisition module is used for acquiring an exit whole-body image of a corresponding person when the acquired face verification information is not matched with the face identification information when the person is in an exit state;
the whole body image comparison module is used for comparing the entering whole body image with the exiting whole body image and judging whether a distinguishing characteristic image exists or not;
and the second alarm module is used for sending out a second alarm signal when the distinguishing characteristic image exists.
9. The intelligent building intrusion alarm system of claim 8, wherein the system further comprises:
the average power consumption calculation module is used for calculating the average power consumption of the power consumption area within the first preset time;
the power utilization comparison module is used for judging whether the difference value between the real-time power utilization power and the average power utilization power of the power utilization area exceeds the electric quantity floating limit value or not when the personnel is in an entering state and the face verification information is not matched with the face identification information;
and the third alarm module is used for sending out a third alarm signal when the difference value between the real-time electricity utilization power and the average electricity utilization power of the electricity utilization area exceeds the floating limit value.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 6.
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