CN112562352B - Intelligent monitoring system for parking in residential area - Google Patents
Intelligent monitoring system for parking in residential area Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
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Abstract
The invention discloses an intelligent monitoring system for parking in a community, which comprises a vehicle image acquisition module, a vehicle information input module, a data storage module, a parking monitoring module, a data receiving module, a data processing module, a master control module, a passing entrance guard device and an alarm sending module, wherein the vehicle image acquisition module is used for acquiring a vehicle image; the vehicle image acquisition module is used for acquiring real-time vehicle information entering a cell, the vehicle information recording module is used for recording vehicle information of vehicles allowed to enter the cell, the vehicle information is sent to the data storage module, and the vehicle information is converted into pre-stored vehicle coefficients and then stored in the data storage module; the parking monitoring module is a plurality of cameras installed at different positions in the parking lot and used for monitoring the parking lot and acquiring image information in the parking lot. The invention has higher safety, can better ensure the safety of the vehicles of the community owners, and is more worthy of popularization and use.
Description
Technical Field
The invention relates to the field of parking monitoring, in particular to an intelligent monitoring system for parking in a community.
Background
With the continuous improvement of the living standard and the living quality of people, the safety requirement of living gradually becomes a focus of attention of people. People are no longer limited to the comfort of the residential area, the decoration of the residential area, etc. in the residential environment, and the security management of the residential area is also concerned more and more. With the improvement of living standard, the vehicle keeping rate is continuously increased, the resulting district parking management is also taken as an important component of district property management, and the parking lot management is also a part of the property which needs to pay important attention. Under the trend, the importance of cell monitoring is increasingly highlighted, the monitoring of cell parking is also one of important components of the cell monitoring, the cell parking can monitor a parking lot to ensure the safety of owner vehicles, a monitoring system is one of the most applied systems in a security system, a construction site monitoring system which is suitable in the market at present is a handheld video communication device, and video monitoring is the mainstream at present. From the earliest analog monitoring to the digital monitoring of the fire and heat in the previous years to the emerging network video monitoring, the change of the ground coverage occurs, and the parking intelligent monitoring system is a system for parking monitoring.
The existing parking monitoring system cannot identify fake-licensed vehicles, easily causes the fake-licensed vehicles to enter a community, only has a monitoring function, cannot process abnormal personnel in a parking lot when the abnormal personnel stay for a long time, and brings certain influence on the use of the parking monitoring system, so that the community parking intelligent monitoring system is provided.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to solve current parking monitored control system, unable discernment fake plate vehicle leads to fake plate vehicle to enter into the district easily to only possess the monitor function, can't handle when finding the parking area has unusual personnel to stop for a long time, the problem of certain influence has been brought for parking monitored control system's use, provides a district parking intelligent monitoring system.
The invention solves the technical problems through the following technical scheme that the intelligent parking control system comprises a vehicle image acquisition module, a vehicle information input module, a data storage module, a parking monitoring module, a data receiving module, a data processing module, a master control module, a passing entrance guard device and an alarm sending module;
the vehicle image acquisition module is used for acquiring real-time vehicle information entering a cell, the vehicle information recording module is used for recording vehicle information of vehicles allowed to enter the cell, the vehicle information is sent to the data storage module, and the vehicle information is converted into pre-stored vehicle coefficients and then stored in the data storage module;
The parking monitoring module is used for monitoring the parking lot and acquiring image information in the parking lot;
the system comprises a data receiving module, a data processing module, a data storage module and a data processing module, wherein the data receiving module is used for receiving real-time vehicle information and image information in a parking lot and sending the real-time vehicle information and the image information in the parking lot to the data receiving module, the data receiving module is used for sending the real-time vehicle information and the image information in the parking lot to the data processing module, the data processing module is used for processing the real-time vehicle information, the image information in the parking lot and prestored vehicle coefficients in the data storage module, and the data processing module is used for processing release information, forbidden communication information and parking lot alarm information;
the releasing information, the communication prohibition information and the parking lot alarm information are sent to a master control module, the releasing information, the communication prohibition information and the parking lot alarm information are converted into a releasing instruction, a communication prohibition instruction and a parking lot alarm instruction by the master control module, the releasing instruction and the communication prohibition instruction are sent to a passing entrance guard module, the parking lot alarm instruction is sent to an alarm sending module, and the alarm sending module sends the parking lot alarm information to a receiving terminal of a security worker;
The entrance guard passing module runs to perform the reassurance operation after receiving the release instruction, and the entrance guard passing module displays the passing prohibition content on the display terminal after receiving the communication prohibition instruction and does not perform the release operation.
Preferably, the data processing module processes the real-time vehicle information into a real-time vehicle coefficient, and compares the real-time vehicle coefficient with a prestored vehicle coefficient to generate release information and prohibited communication information, wherein the release information and the prohibited communication information are specifically processed as follows:
the method comprises the following steps: extracting real-time vehicle coefficients, and marking the real-time vehicle coefficients as K1;
step two: firstly, acquiring license plate information of a real-time vehicle by using an ORC picture recognition technology, and when the acquired license plate information of the real-time vehicle is completely the same as any license plate information prestored in a data output module, extracting a prestored vehicle coefficient corresponding to the license plate and marking the prestored vehicle coefficient as K2;
step three: calculating the difference between the real-time vehicle coefficient K1 and the pre-stored vehicle coefficient K2 to obtain the coefficient difference KDifference between；
Step four: when the coefficient difference KDifference (D)Less than a predetermined value or a coefficient difference KDifference (D)When the value is 0, the release information is generated;
step five: when the coefficient difference KDifference (D)And when the number plate information of the real-time vehicle is larger than the preset value or the acquired number plate information of the real-time vehicle cannot be matched with the number plate information prestored in the data output module, the communication forbidding information is generated.
Preferably, the specific processing procedure of the real-time vehicle coefficient is as follows:
s1: extracting real-time vehicle information, wherein the real-time vehicle information is vehicle image information which comprises a vehicle picture shot right in front of the vehicle and a vehicle picture shot at the side of the vehicle;
s2: extracting a vehicle picture shot right in front of the vehicle, extracting a first comparison surface from the vehicle picture, and calculating the area of the first comparison surface to obtain P1;
s3: then extracting a vehicle picture shot at the side of the vehicle, extracting a second contrast surface from the vehicle picture, and calculating the area of the second contrast surface to obtain P2;
s4: calculating the difference between the area P1 of the first contrast surface and the area P2 of the second contrast surface to obtain PDifference (D)；
S5: then calculating the sum of the area P1 of the first contrast surface and the area P2 of the second contrast surface to obtain PAnd；
s6: finally, P is calculated by a formulaAndand PDifference (D)The ratio therebetween obtains the ratio PRatio ofAnd obtaining the real-time vehicle coefficient.
Preferably, the specific processing procedure of the first comparison surface is as follows:
SS 1: extracting a vehicle picture shot right in front of the vehicle, marking points of contact between two wheels and the ground as a point A1 and a point A2, and acquiring vehicle height information G1 from the vehicle picture shot right in front of the vehicle;
SS 2: connecting the point A1 with the point A2 to obtain a line segment L1, and measuring the length of the line segment L1;
SS 3: then respectively taking a point A1 and a point A2 as end points, taking height information G1 as length to form a vertical line segment L2 and a vertical line segment L3, and connecting a vertical line segment L2 with the other end point of the vertical line segment L3 to obtain a line segment L4;
SS 4: a first comparison surface is defined by the line segment L1, the line segment L2, the line segment L3 and the line segment L4, and the area P1 of the first comparison surface is obtained through a formula L1L 2P 1;
the specific processing procedure of the second contrast surface is as follows:
SSS 1: then extracting a vehicle picture shot at the side of the vehicle, marking points of contact between two wheels and the ground as a point B1 and a point B2, and acquiring vehicle height information G2 from the vehicle picture shot at the side of the vehicle;
SS 2: connecting the point B1 with the point B2 to obtain a line segment E1, and measuring the length of the line segment E1;
SS 3: then respectively taking a point B1 and a point B2 as end points, taking height information G1 as length to form a vertical line segment E2 and a vertical line segment E3, and connecting the vertical line segment E2 with the other end point of the vertical line segment E3 to obtain a line segment E4;
SS 4: the line segment E1, the line segment E2, the line segment E3 and the line segment E4 enclose a second comparison surface, and the area P2 of the second comparison surface is obtained by the formula E1 × E2 ═ P1.
Preferably, the specific processing procedure of the data processing module for processing the parking lot alarm information is as follows:
Sa 1: extracting image information in a parking lot acquired by a parking monitoring module;
sa2: extracting a video image collected by a camera at the entrance of the parking lot, extracting real-time human body characteristic information when a human body image appears in the image, and recording a time point T1 at the moment;
sa2, recording the time point T2 when the cameras at the outlet record the same human body characteristic information;
sa 3: the difference T between the time point T2 and the time point T1 is calculatedDifference (D)I.e. time difference TDifference (D)；
Sa 4: when the human body image information or the time difference T of the same human body characteristic is still acquired by the camera at the outlet when the human body image information or the time difference T exceeds the preset valueDifference (D)When the time length is longer than the preset time length, other cameras are called to carry out real-time human body characteristic information personnel screening;
sa 5: when the number of other cameras of the real-time human body feature information personnel exceeds the preset number, generating parking lot alarm information;
the specific content of the parking lot alarm information is as follows: "there is unusual personnel in the parking area, please patrol".
Preferably, the specific processing procedure of the human body characteristic information is as follows:
the method comprises the following steps: extracting real-time image information from an inlet, extracting a part with a human body image, and marking a characteristic point;
Step two: marking the contact point of the human body image and the ground as a point C1, and marking the highest point of the human body image as a point C2;
step three: connecting the C1 point with the C2 point to obtain a line segment W1;
step four: marking the highest points of two shoulders of the human body image as C3 points and C4 points respectively;
step five: connecting the point C3 with the point C4 to obtain a line segment W2;
step six: the lengths of the segment W1 and the segment W2 are measured, and are represented by the formula (W1+ W2)/(W1-W2) ═ WRatio ofAnd obtaining the human body characteristic information.
Compared with the prior art, the invention has the following advantages: this district parking intelligent monitoring system, through having set up the vehicle coefficient, carry out synchronous discernment with vehicle coefficient and license plate, can effectual reduction fake-licensed car go on through the license plate verify enter into the district in, the accident that leads to takes place, and this kind of setting can be more accurate the discernment of the vehicle that permits to pass, let this system be worth using widely more, the security of this system has been promoted, and through carrying out real-time personnel's control in the parking lot, there is alarm information to give guarantor personnel when personnel stop unusually for a long time in the parking lot, remind security personnel to patrol, this kind of setting has further promoted the security of this system.
Drawings
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The following examples are given for the detailed implementation and the specific operation procedures, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1, the present embodiment provides a technical solution: a district parking intelligent monitoring system comprises a vehicle image acquisition module, a vehicle information input module, a data storage module, a parking monitoring module, a data receiving module, a data processing module, a master control module, a passing entrance guard device and an alarm sending module;
the vehicle image acquisition module is used for acquiring real-time vehicle information entering a cell, the vehicle information recording module is used for recording vehicle information of vehicles allowed to enter the cell, the vehicle information is sent to the data storage module, and the vehicle information is converted into pre-stored vehicle coefficients and then stored in the data storage module;
the parking monitoring module is used for monitoring the parking lot and acquiring image information in the parking lot;
The system comprises a data receiving module, a data processing module, a data storage module and a data processing module, wherein the data receiving module is used for receiving real-time vehicle information and image information in a parking lot and sending the real-time vehicle information and the image information in the parking lot to the data receiving module, the data receiving module is used for sending the real-time vehicle information and the image information in the parking lot to the data processing module, the data processing module is used for processing the real-time vehicle information, the image information in the parking lot and prestored vehicle coefficients in the data storage module, and the data processing module is used for processing release information, forbidden communication information and parking lot alarm information;
the releasing information, the communication prohibition information and the parking lot alarm information are sent to a master control module, the releasing information, the communication prohibition information and the parking lot alarm information are converted into a releasing instruction, a communication prohibition instruction and a parking lot alarm instruction by the master control module, the releasing instruction and the communication prohibition instruction are sent to a passing entrance guard module, the parking lot alarm instruction is sent to an alarm sending module, and the alarm sending module sends the parking lot alarm information to a receiving terminal of a security worker;
the entrance guard passing module runs to perform the reassurance operation after receiving the release instruction, and the entrance guard passing module displays the passing prohibition content on the display terminal after receiving the communication prohibition instruction and does not perform the release operation.
The data processing module processes the real-time vehicle information into a real-time vehicle coefficient, compares the real-time vehicle coefficient with a prestored vehicle coefficient, and generates release information and prohibited communication information, wherein the release information and the prohibited communication information are specifically processed as follows:
the method comprises the following steps: extracting real-time vehicle coefficients, and marking the real-time vehicle coefficients as K1;
step two: firstly, acquiring license plate information of a real-time vehicle by an ORC picture recognition technology, and when the acquired license plate information of the real-time vehicle is completely the same as any license plate information prestored in a data output module, extracting a prestored vehicle coefficient corresponding to the license plate and marking the prestored vehicle coefficient as K2;
step three: calculating the difference between the real-time vehicle coefficient K1 and the prestored vehicle coefficient K2 to obtain the coefficient difference KDifference (D)；
Step four: when the coefficient difference KDifference (D)Less than a predetermined value or a coefficient difference KDifference (D)When the value is 0, the release information is generated;
step five: when the coefficient difference KDifference (D)When the number plate information of the real-time vehicle is larger than a preset value or the acquired number plate information of the real-time vehicle cannot be matched with the number plate information prestored in the data output module, the communication prohibition information is generated;
through the arrangement, the monitoring processing can be carried out when the entering vehicle enters the cell, the non-cell vehicle is blocked outside, and the probability of accidents caused by the fact that the non-cell vehicle enters the cell is reduced.
The specific processing process of the real-time vehicle coefficient is as follows:
s1: extracting real-time vehicle information, wherein the real-time vehicle information is vehicle image information which comprises a vehicle picture shot in front of the vehicle and a vehicle picture shot at the side of the vehicle;
s2: extracting a vehicle picture shot right in front of the vehicle, extracting a first comparison surface from the vehicle picture, and calculating the area of the first comparison surface to obtain P1;
s3: then extracting a vehicle picture shot at the side of the vehicle, extracting a second contrast surface from the vehicle picture, and calculating the area of the second contrast surface to obtain P2;
s4: calculating the difference between the area P1 of the first contrast surface and the area P2 of the second contrast surface to obtain PDifference (D)；
S5: then, the areas P1 and P1 of the first comparison surface are calculatedThe sum between the areas P2 of the second contrast surfaces yields PAnd；
s6: finally, P is calculated by a formulaAndand PDifference (D)The ratio therebetween obtains the ratio PThanObtaining real-time vehicle coefficients;
through setting up the vehicle coefficient, can be better carry out identification process to the vehicle, the effectual situation that reduces the fake-licensed vehicle and enter into the district takes place, further promotion the security of this system.
The specific processing procedure of the first comparison surface is as follows:
SS 1: extracting a vehicle picture shot right in front of the vehicle, marking points of contact between two wheels and the ground as a point A1 and a point A2, and acquiring vehicle height information G1 from the vehicle picture shot right in front of the vehicle;
SS 2: connecting the point A1 with the point A2 to obtain a line segment L1, and measuring the length of the line segment L1;
SS 3: then respectively taking a point A1 and a point A2 as end points, taking height information G1 as length to form a vertical line segment L2 and a vertical line segment L3, and connecting a vertical line segment L2 with the other end point of the vertical line segment L3 to obtain a line segment L4;
SS 4: a first comparison surface is defined by the line segment L1, the line segment L2, the line segment L3 and the line segment L4, and the area P1 of the first comparison surface is obtained through a formula L1L 2P 1;
the specific processing procedure of the second contrast surface is as follows:
SSS 1: then extracting a vehicle picture shot at the side of the vehicle, marking points of contact between two wheels and the ground as a point B1 and a point B2, and acquiring vehicle height information G2 from the vehicle picture shot at the side of the vehicle;
SS 2: connecting the point B1 with the point B2 to obtain a line segment E1, and measuring the length of the line segment E1;
SS 3: then respectively taking a point B1 and a point B2 as endpoints, taking the height information G1 as length to make a vertical line segment E2 and a vertical line segment E3, and connecting the vertical line segment E2 with the other endpoint of the vertical line segment E3 to obtain a line segment E4;
SS 4: a line segment E1, a line segment E2, a line segment E3 and a line segment E4 enclose a second comparison surface, and the area P2 of the second comparison surface is obtained through a formula E1E 2P 1;
vehicle data can be better processed through the setting.
The specific processing process of the data processing module for processing the parking lot alarm information is as follows:
sa 1: extracting image information of a parking lot obtained by a parking monitoring module;
sa2: extracting a video image collected by a camera at the entrance of the parking lot, extracting real-time human body characteristic information of the video image when the video image has a human body image, and recording a time point T1 at the moment;
sa2, recording the time point T2 when the cameras at the outlet record the same human body characteristic information;
sa 3: the difference T between the time point T2 and the time point T1 is calculatedDifference (D)I.e. time difference TDifference (D)；
Sa 4: when the human body image information or the time difference T of the same human body characteristic is still acquired by the camera at the outlet when the human body image information or the time difference T exceeds the preset valueDifference (D)When the time length is longer than the preset time length, other cameras are called to carry out real-time human body characteristic information personnel screening;
sa 5: when the number of other cameras of the real-time human body feature information personnel exceeds the preset number, generating parking lot alarm information;
The parking lot alarm information comprises the following specific contents: "there is unusual personnel in the parking area, please patrol";
through the arrangement, when a person stays in the parking lot for a long time, the alarm can be sent out timely to remind security personnel to carry out patrol operation.
The specific processing process of the human body characteristic information is as follows:
the method comprises the following steps: extracting real-time image information from an inlet, extracting a part with a human body image, and marking a characteristic point;
step two: marking the contact point of the human body image and the ground as a point C1, and marking the highest point of the human body image as a point C2;
step three: connecting the C1 point with the C2 point to obtain a line segment W1;
step four: marking the highest points of two shoulders of the human body image as C3 points and C4 points respectively;
step five: connecting the point C3 with the point C4 to obtain a line segment W2;
step six: the lengths of the segment W1 and the segment W2 are measured, and are represented by the formula (W1+ W2)/(W1-W2) ═ WRatio ofAnd obtaining the human body characteristic information.
In summary, when the present invention is used, the vehicle image collecting module collects real-time vehicle information entering the community, the vehicle information recording module is used for recording vehicle information of vehicles allowed to enter the community, the vehicle information is sent to the data storage module, the vehicle information is converted into pre-stored vehicle coefficients and then stored in the data storage module, the parking monitoring module is a plurality of cameras installed at different positions in the parking lot, two sets of the cameras are respectively installed at the entrance and the exit of the parking lot, the parking monitoring module monitors the parking lot and obtains image information in the parking lot, the data receiving module is used for receiving the real-time vehicle information and the image information in the parking lot and sending the real-time vehicle information and the image information in the parking lot to the data processing module, and the data processing module sends the real-time vehicle information and the image information in the parking lot to the data processing module, The image information in the parking lot and the prestored vehicle coefficients in the data storage module are processed, the data processing module processes the release information, the communication prohibition information and the parking lot alarm information, the release information, the communication prohibition information and the parking lot alarm information are sent to the master control module, the release information, the communication prohibiting information and the parking lot alarm information are converted into a release instruction, a communication prohibiting instruction and a parking lot alarm instruction by the master control module, the release instruction and the communication prohibiting instruction are sent to the access control module, the parking lot alarm instruction is sent to the alarm sending module, the alarm sending module sends the parking lot alarm information to a receiving terminal of a security guard, the access control module runs to perform relief work after receiving the release instruction, and the access control module displays the content of the prohibition on the display terminal after receiving the communication prohibiting instruction and does not perform the release work.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (3)
1. A residential parking intelligent monitoring system is characterized by comprising a vehicle image acquisition module, a vehicle information input module, a data storage module, a parking monitoring module, a data receiving module, a data processing module, a master control module, a passing entrance guard device and an alarm sending module;
the vehicle image acquisition module is used for acquiring real-time vehicle information entering a cell, the vehicle information recording module is used for recording vehicle information of vehicles allowed to enter the cell, the vehicle information is sent to the data storage module, and the vehicle information is converted into pre-stored vehicle coefficients and then stored in the data storage module;
the parking monitoring module is a plurality of cameras arranged at different positions in the parking lot and is used for monitoring the parking lot and acquiring image information in the parking lot;
the system comprises a data receiving module, a data processing module, a data storage module and a data processing module, wherein the data receiving module is used for receiving real-time vehicle information and image information in a parking lot, the data receiving module is used for sending the real-time vehicle information and the image information in the parking lot to the data processing module, the data processing module is used for processing the real-time vehicle information, the image information in the parking lot and prestored vehicle coefficients in the data storage module, and the data processing module is used for processing release information, no-pass information and parking lot alarm information;
The releasing information, the no-pass information and the parking lot alarm information are sent to a master control module, the releasing information, the no-pass information and the parking lot alarm information are converted into a releasing instruction, a no-pass instruction and a parking lot alarm instruction by the master control module, the releasing instruction and the no-pass instruction are sent to a passing access control device, the parking lot alarm instruction is sent to an alarm sending module, and the alarm sending module sends the parking lot alarm information to a receiving terminal of a security guard;
the passing entrance guard equipment runs to perform the relief operation after receiving the release instruction, displays the contents of the forbidden passage on the display terminal after receiving the forbidden passage instruction, and does not perform the release operation;
the data processing module processes real-time vehicle information into real-time vehicle coefficients, compares the real-time vehicle coefficients with prestored vehicle coefficients and generates release information and no-pass information, and the release information and the no-pass information are specifically processed in the following steps:
the method comprises the following steps: extracting real-time vehicle coefficients, and marking the real-time vehicle coefficients as K1;
step two: firstly, acquiring license plate information of a real-time vehicle by an ORC picture recognition technology, and when the acquired license plate information of the real-time vehicle is completely the same as any license plate information prestored in a data storage module, extracting a prestored vehicle coefficient corresponding to the license plate and marking the prestored vehicle coefficient as K2;
Step three: calculating the difference between the real-time vehicle coefficient K1 and the pre-stored vehicle coefficient K2 to obtain the coefficient difference KDifference between；
Step four: when coefficient difference KDifference betweenLess than a predetermined value or a coefficient difference KDifference betweenWhen the value is 0, the release information is generated;
step five: when the coefficient difference KDifference (D)When the number plate information of the real-time vehicle is larger than a preset value or the acquired number plate information of the real-time vehicle cannot be matched with the number plate information prestored in the data storage module, the no-pass information is generated;
the specific processing process of the real-time vehicle coefficient is as follows:
s1: extracting real-time vehicle information, wherein the real-time vehicle information is vehicle image information which comprises a vehicle picture shot in front of the vehicle and a vehicle picture shot at the side of the vehicle;
s2: extracting a vehicle picture shot right in front of the vehicle, extracting a first comparison surface from the vehicle picture, and calculating the area of the first comparison surface to obtain P1;
s3: then extracting a vehicle picture shot at the side of the vehicle, extracting a second contrast surface from the vehicle picture, and calculating the area of the second contrast surface to obtain P2;
s4: calculating the difference between the area P1 of the first contrast surface and the area P2 of the second contrast surface to obtain PDifference (D)；
S5: then calculating the sum of the area P1 of the first contrast surface and the area P2 of the second contrast surface to obtain P And；
s6: finally, P is calculated by a formulaAndand PDifference (D)The ratio therebetween obtains the ratio PRatio ofObtaining real-time vehicle coefficients;
the specific processing procedure of the first comparison surface is as follows:
SS 1: extracting a vehicle picture shot right in front of the vehicle, marking points of contact between two wheels and the ground as a point A1 and a point A2, and acquiring vehicle height information G1 from the vehicle picture shot right in front of the vehicle;
SS 2: connecting the point A1 with the point A2 to obtain a line segment L1, and measuring the length of the line segment L1;
SS 3: then respectively taking a point A1 and a point A2 as end points, taking height information G1 as length to form a vertical line segment L2 and a vertical line segment L3, and connecting a vertical line segment L2 with the other end point of the vertical line segment L3 to obtain a line segment L4;
SS 4: a first comparison surface is defined by the line segment L1, the line segment L2, the line segment L3 and the line segment L4, and the area P1 of the first comparison surface is obtained through a formula L1L 2P 1;
the specific processing procedure of the second contrast surface is as follows:
SSS 1: then extracting a vehicle picture shot at the side of the vehicle, marking points of contact between two wheels and the ground as a point B1 and a point B2, and acquiring vehicle height information G2 from the vehicle picture shot at the side of the vehicle;
SS 2: connecting the point B1 with the point B2 to obtain a line segment E1, and measuring the length of the line segment E1;
SS 3: then respectively taking a point B1 and a point B2 as end points, taking height information G1 as length to form a vertical line segment E2 and a vertical line segment E3, and connecting the vertical line segment E2 with the other end point of the vertical line segment E3 to obtain a line segment E4;
SS 4: the line segment E1, the line segment E2, the line segment E3 and the line segment E4 enclose a second comparison surface, and the area P2 of the second comparison surface is obtained by the formula E1 × E2 ═ P1.
2. The intelligent monitoring system for parking in a community as claimed in claim 1, wherein: the specific processing process of the data processing module for processing the parking lot alarm information is as follows:
sa 1: extracting image information of a parking lot obtained by a parking monitoring module;
sa2: extracting a video image collected by a camera at the entrance of the parking lot, extracting real-time human body characteristic information of the video image when the video image has a human body image, and recording a time point T1 at the moment;
sa2, recording the time point T2 when the cameras at the outlet record the same human body characteristic information;
sa 3: the difference between the time point T2 and the time point T1 is calculatedTDifference (D)I.e. time difference TDifference (D)；
Sa 4: when the human body image information or the time difference T of the same human body characteristic is still acquired by the camera at the outlet when the human body image information or the time difference T exceeds the preset value Difference betweenWhen the time length is longer than the preset time length, other cameras are called to carry out real-time human body characteristic information personnel screening;
sa 5: when the number of other cameras of the real-time human body feature information personnel exceeds the preset number, generating parking lot alarm information;
the specific content of the parking lot alarm information is as follows: "there is unusual personnel in the parking area, please patrol".
3. The intelligent monitoring system for parking in a community as claimed in claim 2, wherein: the specific processing process of the human body characteristic information is as follows:
the method comprises the following steps: extracting real-time image information from an inlet, extracting a part with a human body image, and marking a characteristic point;
step two: marking the contact point of the human body image and the ground as a point C1, and marking the highest point of the human body image as a point C2;
step three: connecting the C1 point with the C2 point to obtain a line segment W1;
step four: marking the highest points of two shoulders of the human body image as C3 points and C4 points respectively;
step five: connecting the point C3 with the point C4 to obtain a line segment W2;
step six: the lengths of the segment W1 and the segment W2 are measured, and are represented by the formula (W1+ W2)/(W1-W2) ═ WRatio ofAnd obtaining the human body characteristic information.
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