CN109389791A - A kind of detection object for vehicle is close to early warning system - Google Patents
A kind of detection object for vehicle is close to early warning system Download PDFInfo
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- 238000013136 deep learning model Methods 0.000 claims description 6
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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
- G08B13/19—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 infrared-radiation detection systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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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
-
- 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
- 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
- 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
- G08B13/19695—Arrangements wherein non-video detectors start video recording or forwarding but do not generate an alarm themselves
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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Abstract
The present invention provides a kind of detection object for vehicle close to early warning system, when personnel or object are within 50 centimeters of vehicle and are kept for stop 3 seconds or more, after Vehicular intelligent alarm system passes through detections of radar to stop personnel or object, start infrared detection system, dynamic detection system, it is scanned by the detection to personnel outside vehicle or object, it is that may be present stolen or be risk of damage to assess that software systems start to carry out vehicle, start that vehicle is outer or interior recording function simultaneously, alert data is dealt on alert process center or vehicle driver mobile terminal by signal of communication, scene can be monitored in real time to make correct judgement, it can star audible and visible alarm and voice warning when necessary.The present invention has the advantages that active forewarning system can make a response in personnel or object proximity, accomplish to take precautions against in advance, handle in time, effectively reduces the damage or stolen of vehicle.
Description
Technical field
The invention belongs to technical field of automobile theft prevention, and in particular to a kind of detection object for vehicle is close to early warning system
System.
Background technique
China is a motor vehicle big country, and vehicle guaranteeding organic quantity position is at the forefront in the world, but most of vehicle does not have garage,
Often by vehicle parking in the outdoor location of cell road both sides, parking safety becomes car owner's concern, rests in car owner
The vehicle in the outdoor location in cell road both sides is often damaged, but suffers from no monitoring device, can not find troublemaker
Member, very big worry is brought to car owner, while being also unfavorable for social harmony.
In existing patent document, patent publication No.: CN1537756A is disclosed: a kind of for preventing vehicle is stolen from preventing
Device 91 is stolen, it has according to from for monitoring that the information that monitoring sensor 93 obtains near near vehicle judges that vehicle M is
It is no there are the judgment means of proximity object T, when judge vehicle M there are when proximity object T, according to from for monitor around vehicle M and/
Or the information that internal action sensor 94 obtains, judge whether the proximity object T of vehicle M is the judgment means of suspicion person, and work as
When the proximity object T for judging vehicle M is suspicion person, implement the device for making indicator 38 processing such as light.To reach offer one
Kind can improve the purpose of the anti-theft device for vehicle of detection accuracy.
However, this monitoring device must real-time whole process supervision, while not having communication function, brought very to using
Big inconvenience.Also, there are many current China vehicles number, and the parking stall that many motor vehicles are not fixed, many vehicles are parked in people
Intensive place is flowed, there are many up and-down personnel, and situation is extremely complex.For the passerby etc. to chat beside vehicle that stands once in a while
The technology of situation, above-mentioned patent often generates false alarm, generates puzzlement to car owner, wastes the time and efforts of car owner.
Summary of the invention
The purpose of the present invention is what is be achieved through the following technical solutions.
A kind of detection object for vehicle is close to early warning system, comprising:
Detections of radar sensor is used for real-time detection vehicle-surroundings object, invades detection zone when being detected with foreign body
In preset boundary, according to the Distance Judgment of object intrusion its whether further towards vehicle, if intrusion object further towards
Vehicle simultaneously keeps stopping more than preset time, then radar sensor triggers and starts dynamic detection sensor；
Dynamic detection sensor, for detecting the movement of intrusion object, whether judgment object has the row further damaged
For if detecting continuing close and keeping nonstatic state for intrusion object, dynamic detection sensor triggers and starts infrared
Detection sensor；
Infrared detection sensor and monitoring camera, wherein infrared detection sensor detects intrusion object space,
Monitor camera typing image；
Car-mounted computer controls processing center, for calculating intrusion object according to the intrusion object space and image
Figure and dynamic trajectory judge whether there is intrusion and damage the intention of vehicle, trigger and start information alert processor；
The result for judging whether there is the intention of intrusion and damage vehicle is sent to cloud big data by information alert processor
Processing center or car owner's mobile terminal.
Preferably, the preset boundary is within 50 centimetres.
Preferably, the preset time is 3 seconds.
Preferably, the information alert processor will also invade time and location and week time of the image and intrusion of object
Phase is sent to cloud big data processing center, saves as logout archives.
Preferably, the text and graphical information that car owner receives according to the mobile terminal, are handled to car-mounted computer control
Center issue instruction, including cancel alarm, issue audible and visible alarm, language warning expel, and/or to the police alarm.
Preferably, the car-mounted computer control processing center is sentenced first according to the figure and dynamic trajectory of intrusion object
Disconnected is that people or other objects then start portrait comparison identification if it is people, identify if it is other objects then without alarm
It whether is car owner or the kinsfolk or friend that are allowed to.
Preferably, the portrait comparison identification, includes the following steps:
(1) human face image information is extracted；
(2) human face image information is learnt using deep learning model；
(3) human face image information stored in the human face image information and identity database is compared, is calculated using binary tree
Method carries out depth matching；
(4) when matching result is more than given threshold, assert the success of face matching result, otherwise it fails to match.
Preferably, the deep learning model is LSTM network model, and the LSTM network model is concatenated two layers
LSTM model, two layers of LSTM model are located at hidden layer.
Preferably, the text and graphical information that the mobile terminal receives are encryption data, wherein the encryption used is calculated
Method includes: secure hash algorithm, MD5 algorithm.
Preferably, the secure hash algorithm includes the following steps: for handling message data
(1) extra order is filled, filling message makes its length ≡ 896；
(2) additional length adds 128 blocks after message after filling, signless integer is regarded as, before it includes
The length of message；
(3) buffer area Hash is initialized, Hash function intermediate result and final result are stored in 512 buffer areas, delay
Rush area is indicated by 8 64 registers, and the integer for being 64 by these initialization of register；
(4) processed in units message is grouped into 1024 and export result.
The mode that each content of registers obtains is: taking preceding 8 prime numbers to make even root, takes preceding the 64 of fractional part
Position.
Preferably, the MD5 is used for processing information data, includes the following steps:
(1) it fills, information is filled first, its bit length is made to be equal to 448 to the result of 512 complementations；
(2) initializing variable, 128 initial place values are four preliminary examination link variables, these parameters are used for the fortune of the first round
It calculates, is indicated with big end syllable sequence；
(3) packet data is handled, the algorithm flow of each grouping is as follows:
First grouping copies to aforementioned four link variable in four additional variable, and the variable since second packet is
The operation result of a upper grouping；
Major cycle has a four-wheel, and the first round carries out 16 operations, and operation is to wherein three in above-mentioned four additional variable every time
Then acquired results are added the 4th variable by the nonlinear function operation of a work, a subgroup of text and one are often
Number；By acquired results, ring moves an indefinite number to the left again, and plus one of above-mentioned four additional variable, finally with the result
Replace one of above-mentioned four additional variable.
(4) it exports, last output is the cascade of above-mentioned four additional variable.
Preferably, the method being filled in described (1) step to information is as follows:
1) one 1 and numerous 0 is filled behind information, just stops 0 pair of information when meeting condition above
Filling；
2) message length before adding one behind this result with the filling of 64 binary representations, if binary form
Message length is more than 64 before the filling shown, then takes low 64.
The present invention has the advantages that active forewarning system can make a response in personnel or object proximity, accomplish in advance
Prevention is handled in time, effectively reduces the damage or stolen of vehicle.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Attached drawing 1 shows the vehicle exterior figure of embodiment according to the present invention；
Attached drawing 2 shows the detection object of embodiment according to the present invention close to early warning system schematic diagram.
Specific embodiment
The illustrative embodiments of the disclosure are more fully described below with reference to accompanying drawings.Although showing this public affairs in attached drawing
The illustrative embodiments opened, it being understood, however, that may be realized in various forms the disclosure without the reality that should be illustrated here
The mode of applying is limited.It is to be able to thoroughly understand the disclosure on the contrary, providing these embodiments, and can be by this public affairs
The range opened is fully disclosed to those skilled in the art.
The present invention provides one kind after vehicle parking or car locking, pre- when vehicle starts testing staff or object proximity automatically
Alert system.
The principle of the present invention is as follows: as shown in Figure 1, for example, when personnel or object within 50 centimeters of vehicle and are kept
At stop 3 seconds or more, after Vehicular intelligent alarm system passes through detections of radar to stop personnel or object, start infrared detection system
System, dynamic detection system, are scanned by the detection to personnel outside vehicle or object, and it is that may be present that software systems start progress vehicle
It is stolen or be risk of damage to assess, while starting that vehicle is outer or interior recording function, alert data is dealt by signal of communication
On alert process center or vehicle driver mobile terminal, scene can be monitored in real time to make correct judgement, it is necessary
When can star audible and visible alarm and voice warning.
Embodiment 1
As shown in Fig. 2, the detection object for vehicle of the invention is close to early warning system, comprising:
Car-mounted computer controls processing center: after vehicle stays field, car owner is flame-out leave vehicle car locking after, system starting monitoring
System.Car-mounted computer control processing center is located in the middle control of vehicle, can pass through computer (or other hardware controls moulds
Block such as single-chip microcontroller, FPGA etc.) it realizes in conjunction with corresponding software control system.Controlling processing center by car-mounted computer can
To be turned on or off radar monitoring, dynamic monitoring, infrared monitoring, and controls and open when emergency or vehicle are invaded
Dynamic information alert.Radar monitoring, dynamic monitoring, infrared detection and information alert are the process of a sequence, as shown in Fig. 2, being
Successively start.Detailed process is as follows, and face is described in detail.
Detections of radar sensor: real-time detection, once it is detected in foreign body intrusion 50 centimetres of boundaries of detection zone, root
Judge whether according to the cm distance that object invades further towards vehicle, if intrusion object is further towards vehicle and keeps stopping
It stays, after three seconds, signal is issued computer, computer starting innervation detection sensor by radar sensor.
Dynamic detection sensor: standby in real time, after being connected to computer instruction, the movement of detection intrusion object is preliminary to judge
Whether object has the behavior further damaged, dynamic if receiving continuing close and keeping nonstatic state for intrusion object
Detection sensor issues advisory information to computer, and computer issues instruction starting infrared detection sensor.
Infrared detection sensor and monitoring camera: infrared detection sensor starts the progress of the intrusion object space to locking
Detection is monitored camera typing image, can be gone out the size and movement of object with interpretation according to the shape of object, utilize vehicle computing
Machine controls the figure and dynamic trajectory that processing center calculates intrusion object, judges whether there is intrusion and damages the intention of vehicle, no
Whether pipe has damage to be intended to or do not have, and starts information alert processor.
Information alert processor: after judgement intrusion object is without further damaging behavior or being intended to, or judgement is invaded
After entering object without further damaging behavior or being intended to, starts wireless communication module, pass through WLAN, telecommunication network etc.
Wireless communication signal issues corresponding information to car owner.Meanwhile alarm processor will invade the time of the image and intrusion of object
Place and time cycle are sent to cloud big data processing center, save as logout archives.Car owner is according to the text received
And graphical information, the process instruction of next step is issued to car-mounted computer by car owner's terminal: including cancelling alarm, issuing acousto-optic
Alarm, language warning expel, alarm to the police etc..
In the present invention, car-mounted computer control processing center first according to the figure and dynamic trajectory of intrusion object,
Judgement is people or other objects (such as animal, other vehicles etc.), if it is other objects then without alarm, if it is people
Then start portrait comparison identification, identifies whether it is car owner or the kinsfolk or friend that are allowed to.
It is described that a suspect is identified by portrait comparison recognizer, include the following steps:
(1) human face image information is extracted；
(2) human face image information is learnt using deep learning model；
(3) human face image information stored in the human face image information and identity database is compared, is calculated using binary tree
Method carries out depth matching；
(4) when matching result is more than given threshold, assert the success of face matching result, otherwise it fails to match, suspicious people
Member is the pilferage very high personnel of risk.
The deep learning model is LSTM network model, and the LSTM network model is concatenated two layers of LSTM model,
Two layers of LSTM model is located at hidden layer.
It is described to issue corresponding information to car owner as encryption data in the present invention, it is broken easily after being intercepted and captured to prevent the person of being tampered
Solution.Wherein using to Encryption Algorithm include: secure hash algorithm, MD5 algorithm.
The secure hash algorithm includes the following steps: for handling message data
(1) extra order is filled, filling message makes its length ≡ 896；
(2) additional length adds 128 blocks after message after filling, signless integer is regarded as, before it includes
The length of message；
(3) buffer area Hash is initialized, Hash function intermediate result and final result are stored in 512 buffer areas, delay
Rush area is indicated by 8 64 registers, and the integer for being 64 by these initialization of register；
(4) processed in units message is grouped into 1024 and export result.
The mode that each content of registers obtains is: taking preceding 8 prime numbers to make even root, takes preceding the 64 of fractional part
Position.
The MD5 is used for processing information data, includes the following steps:
(1) it fills, information is filled first, its bit length is made to be equal to 448 to the result of 512 complementations；
(2) initializing variable, 128 initial place values are four preliminary examination link variables, these parameters are used for the fortune of the first round
It calculates, is indicated with big end syllable sequence；
(3) packet data is handled, the algorithm flow of each grouping is as follows:
First grouping copies to aforementioned four link variable in four additional variable, and the variable since second packet is
The operation result of a upper grouping；
Major cycle has a four-wheel, and the first round carries out 16 operations, and operation is to wherein three in above-mentioned four additional variable every time
Then acquired results are added the 4th variable by the nonlinear function operation of a work, a subgroup of text and one are often
Number；By acquired results, ring moves an indefinite number to the left again, and plus one of above-mentioned four additional variable, finally with the result
Replace one of above-mentioned four additional variable.
(4) it exports, last output is the cascade of above-mentioned four additional variable.
The method being filled in described (1) step to information is as follows:
1) one 1 and numerous 0 is filled behind information, just stops 0 pair of information when meeting condition above
Filling；
2) message length before adding one behind this result with the filling of 64 binary representations, if binary form
Message length is more than 64 before the filling shown, then takes low 64.
Domestic vehicle is just to issue signal after receiving vibration mostly now, and active forewarning system of the invention can be in people
Member or when object proximity, make a response, and accomplish to take precautions against in advance, handle in time, effectively reduce the damage or stolen of vehicle.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by anyone skilled in the art,
It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of the claim
Subject to enclosing.
Claims (12)
1. a kind of detection object for vehicle is close to early warning system characterized by comprising
Detections of radar sensor is used for real-time detection vehicle-surroundings object, and when being detected with, foreign body intrusion detection zone is default
In boundary, according to the Distance Judgment of object intrusion its whether further towards vehicle, if intrusion object is further towards vehicle
And keeping stopping is more than preset time, then radar sensor triggers and starts dynamic detection sensor；
Dynamic detection sensor, for detecting the movement of intrusion object, whether judgment object has the behavior further damaged, such as
Fruit detects continuing close and keeping nonstatic state for intrusion object, and dynamic detection sensor triggers and starts infrared detection biography
Sensor；
Infrared detection sensor and monitoring camera, wherein infrared detection sensor detects intrusion object space, monitors
Camera typing image；
Car-mounted computer controls processing center, for calculating the figure of intrusion object according to the intrusion object space and image
And dynamic trajectory, it judges whether there is intrusion and damages the intention of vehicle, trigger and start information alert processor；
The result for judging whether there is the intention of intrusion and damage vehicle is sent to the processing of cloud big data by information alert processor
Center or car owner's mobile terminal.
2. a kind of detection object for vehicle according to claim 1 is close to early warning system, it is characterised in that:
The preset boundary is within 50 centimetres.
3. a kind of detection object for vehicle according to claim 1 is close to early warning system, it is characterised in that:
The preset time is 3 seconds.
4. a kind of detection object for vehicle according to claim 1 is close to early warning system, it is characterised in that:
The time and location and time cycle of the image for invading object and intrusion are also sent to cloud by the information alert processor
Big data processing center is held, logout archives are saved as.
5. a kind of detection object for vehicle according to claim 1 is close to early warning system, it is characterised in that:
The text and graphical information that car owner receives according to the mobile terminal refer to car-mounted computer control processing center sending
Enable, including cancel alarm, issue audible and visible alarm, language warning expel, and/or to the police alarm.
6. a kind of detection object for vehicle according to claim 1 is close to early warning system, it is characterised in that:
Car-mounted computer control processing center first according to the figure and dynamic trajectory of intrusion object, judgement be people or its
He then starts portrait comparison identification if it is people, identifies whether to be car owner object if it is other objects then without alarm
Or the kinsfolk or friend being allowed to.
7. a kind of detection object for vehicle according to claim 6 is close to early warning system, it is characterised in that:
The portrait comparison identification, includes the following steps:
(1) human face image information is extracted；
(2) human face image information is learnt using deep learning model；
(3) compare the human face image information stored in the human face image information and identity database, using binary tree algorithm into
The matching of row depth；
(4) when matching result is more than given threshold, assert the success of face matching result, otherwise it fails to match.
8. a kind of detection object for vehicle according to claim 7 is close to early warning system, it is characterised in that:
The deep learning model is LSTM network model, and the LSTM network model is concatenated two layers of LSTM model, described
Two layers of LSTM model is located at hidden layer.
9. a kind of detection object for vehicle according to claim 5 is close to early warning system, it is characterised in that:
The text and graphical information that the mobile terminal receives be encryption data, wherein using to Encryption Algorithm include: safety
Hashing algorithm, MD5 algorithm.
10. a kind of detection object for vehicle according to claim 9 is close to early warning system, it is characterised in that:
The secure hash algorithm includes the following steps: for handling message data
(1) extra order is filled, filling message makes its length ≡ 896；
(2) additional length adds 128 blocks after message after filling, is regarded as signless integer, it includes preceding message
Length；
(3) buffer area Hash is initialized, Hash function intermediate result and final result are stored in 512 buffer areas, buffer area
It is indicated by 8 64 registers, and the integer for being 64 by these initialization of register；
(4) processed in units message is grouped into 1024 and export result.
The mode that each content of registers obtains is: taking preceding 8 prime numbers to make even root, takes first 64 of fractional part.
11. a kind of detection object for vehicle according to claim 9 is close to early warning system, it is characterised in that:
The MD5 is used for processing information data, includes the following steps:
(1) it fills, information is filled first, its bit length is made to be equal to 448 to the result of 512 complementations；
(2) initializing variable, 128 initial place values are four preliminary examination link variables, these parameters are used for the operation of the first round, with
Big end syllable sequence indicates；
(3) packet data is handled, the algorithm flow of each grouping is as follows:
First grouping copies to aforementioned four link variable in four additional variable, and the variable since second packet is upper one
The operation result of grouping；
Major cycle has four-wheel, and the first round carries out 16 operations, and operation is to wherein three works in above-mentioned four additional variable every time
Then acquired results are added the 4th variable, the subgroup and a constant of text by nonlinear function operation；Again
By acquired results, ring moves an indefinite number to the left, and plus one of above-mentioned four additional variable, is finally replaced with the result
One of above-mentioned four additional variable.
(4) it exports, last output is the cascade of above-mentioned four additional variable.
12. a kind of detection object for vehicle according to claim 11 is close to early warning system, it is characterised in that:
The method being filled in described (1) step to information is as follows:
1) one 1 and numerous 0 is filled behind information, just stops filling out information with 0 when meeting condition above
It fills；
2) message length before adding one behind this result with the filling of 64 binary representations, if binary representation
Message length is more than 64 before filling, then takes low 64.
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| CN201811063620.4A CN109389791B (en) | 2018-09-12 | 2018-09-12 | A detect object and be close early warning system for vehicle |
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| CN201811063620.4A CN109389791B (en) | 2018-09-12 | 2018-09-12 | A detect object and be close early warning system for vehicle |
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| CN109389791B CN109389791B (en) | 2021-06-15 |
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| CN110047238A (en) * | 2019-05-15 | 2019-07-23 | 青岛雷沃工程机械有限公司 | A kind of engineering machinery burglary-resisting system and its working method |
| CN110121028A (en) * | 2019-04-29 | 2019-08-13 | 武汉理工大学 | A kind of energy-saving field camera system |
| CN110120138A (en) * | 2019-04-20 | 2019-08-13 | 上海科信建筑智能化工程有限公司 | Community parking field security system |
| CN111046822A (en) * | 2019-12-19 | 2020-04-21 | 山东财经大学 | Large vehicle anti-theft method based on artificial intelligence video identification |
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