CN117864061A - Method for vehicle anti-theft alarm and vehicle anti-theft alarm system - Google Patents
Method for vehicle anti-theft alarm and vehicle anti-theft alarm system Download PDFInfo
- Publication number
- CN117864061A CN117864061A CN202410232807.1A CN202410232807A CN117864061A CN 117864061 A CN117864061 A CN 117864061A CN 202410232807 A CN202410232807 A CN 202410232807A CN 117864061 A CN117864061 A CN 117864061A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- person
- theft
- burglar alarm
- host vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 29
- 230000003287 optical effect Effects 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 9
- 238000004590 computer program Methods 0.000 claims abstract description 7
- 238000012795 verification Methods 0.000 claims abstract description 7
- 238000004891 communication Methods 0.000 claims description 4
- 230000003993 interaction Effects 0.000 claims description 4
- 230000003213 activating effect Effects 0.000 claims description 3
- 238000013527 convolutional neural network Methods 0.000 claims description 3
- 230000006399 behavior Effects 0.000 description 15
- 230000001815 facial effect Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000013459 approach Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Abstract
The invention provides a method for vehicle anti-theft alarm, which comprises the following steps: identifying whether a person approaching the host vehicle and/or opening the door is a stranger who has not taken the host vehicle (S1); if the person is a stranger, performing image processing on the image of the person' S behavior acquired by the vehicle-mounted camera to determine whether there is suspicious behavior of the person (S2); if so, sending a request to the person for authorised authentication (S3); in case the person fails the authorized identity verification, an optical and/or acoustic alarm is activated (S4). The invention also relates to a vehicle burglar alarm system, a vehicle and a computer program product. According to the invention, the damage or theft of the thief can be timely pre-alarmed before the vehicle is damaged or stolen, the alarm time of the vehicle-mounted anti-theft system is effectively improved, and the vehicle theft of strangers is prevented in advance.
Description
Technical Field
The present invention relates to the field of vehicle theft protection, in particular to a method for vehicle theft protection alarm, a vehicle theft protection alarm system, a vehicle comprising said vehicle theft protection alarm system, and a computer program product for at least assisted implementation of the steps of the method according to the invention.
Background
The current vehicle-mounted anti-theft system usually starts an alarm program after a thief forcibly opens a vehicle door or illegally ignites by means of a tool, so that a horn sounds long, and a headlight or a steering lamp flashes to warn. Meanwhile, the vehicle-mounted anti-theft system can also switch off an ignition circuit or a starting circuit so as to lock ignition or starting. This means that the current vehicle-mounted anti-theft system cannot be put into use until the vehicle is damaged or stolen, but cannot give an alarm in advance for the damage or theft of the thief, which undoubtedly greatly reduces the practicality of the anti-theft function of the vehicle.
Therefore, the current vehicle-mounted anti-theft system has a certain improvement room.
Disclosure of Invention
It is an object of the present invention to provide a method for vehicle burglar alarm, a vehicle burglar alarm system, a vehicle comprising said vehicle burglar alarm system, and a computer program product to at least partly solve the problems in the prior art.
According to a first aspect of the present invention there is provided a method for vehicle anti-theft alarm, the method comprising:
-step S1: identifying whether a person approaching the host vehicle and/or opening a door is a stranger who has not taken the host vehicle;
-step S2: if the person is a stranger who does not ride the vehicle, performing image processing on the image of the person's behavior acquired by the vehicle-mounted camera to determine whether there is suspicious behavior of the person;
-step S3: if suspicious behavior of the person exists, sending a request for authorizing identity verification to the person; and
-step S4: in case the person fails the authorized identity verification, an optical and/or acoustic alarm is activated.
The core concept of the invention is as follows: under the condition that suspicious behaviors of strangers are identified, a request for authorizing identity verification is sent to the strangers, so that the damage or theft of a thief can be timely alarmed in advance before the vehicle is damaged or stolen, the alarm time of the vehicle-mounted anti-theft system is effectively improved, and the vehicle theft of the strangers is prevented in advance.
According to an alternative embodiment of the invention, an optical and/or acoustic alarm may be activated if the person fails the authorized identity for a predetermined period of time and/or for a predetermined number of attempts and the person has not left the vehicle.
According to another alternative embodiment of the present invention, face images of a person approaching the host vehicle and/or opening a door acquired by an in-vehicle camera may be subjected to face recognition processing to determine whether the person is a stranger who has not taken the host vehicle, by: the face image of the person approaching the host vehicle and/or opening the door is compared with the stored face image of the person riding in the host vehicle.
According to a further alternative embodiment of the invention, the image processing may comprise, for example, an object classifier, a convolutional neural network, and/or an object tracking algorithm, etc.
According to a further alternative embodiment of the present invention, the method may further comprise:
-step S5: and sending the image information about the personnel acquired by the vehicle-mounted camera to a back-end platform and/or a mobile terminal of a user so as to be used by the back-end platform and/or the user for alarming.
According to another alternative embodiment of the invention, the suspicious activity of the person may comprise the person looking into the interior of the vehicle and around himself, and/or the person opening a carried tool and approaching the vehicle etc.
According to a second aspect of the present invention, there is provided a vehicle burglar alarm system, which may comprise the following components:
-an onboard camera configured for acquiring image information about a person approaching the vehicle and/or opening a door;
-a human-machine interaction module configured for performing an authorized authentication of the person and activating an optical and/or acoustic alarm if the person fails the authorized authentication; and
a control module configured for performing the method according to the invention.
According to another alternative embodiment of the present invention, the vehicle burglar alarm system may further comprise an in-vehicle communication module configured to transmit image information about the person acquired through an in-vehicle camera to a back-end platform and/or a mobile terminal of a user.
According to a third aspect of the present invention there is provided a vehicle comprising a vehicle burglar alarm system according to the present invention.
According to a fourth aspect of the present invention, there is provided a computer program product, e.g. a computer-readable program carrier, containing or storing computer program instructions which, when executed by a processor, at least assist in carrying out the steps of the method according to the present invention.
Drawings
The principles, features and advantages of the present invention may be better understood by describing the present invention in more detail with reference to the drawings. The drawings show:
FIG. 1 illustrates a workflow diagram of a method for vehicle burglar alarm according to an exemplary embodiment of the present invention;
FIG. 2 illustrates a workflow diagram of a method for vehicle burglar alarm in accordance with another exemplary embodiment of the present invention; and
FIG. 3 illustrates a schematic block diagram of a vehicle burglar alarm system according to an exemplary embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous technical effects to be solved by the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and a plurality of exemplary embodiments. It should be understood that the detailed description and specific examples are intended for purposes of illustration only and are not intended to limit the scope of the invention.
FIG. 1 illustrates a flowchart of a method for vehicle burglar alarm according to an exemplary embodiment of the present invention. The following exemplary examples describe the method according to the invention in more detail.
The method may comprise steps S1 to S4. In step S1, it is identified whether a person approaching the host vehicle and/or opening the door is a stranger who has not taken the host vehicle. In the present embodiment of the present invention, the own vehicle in the parked state can monitor the surrounding information of the own vehicle through its onboard camera, particularly an external camera installed at each position of the vehicle. When it is detected that a person is approaching the vehicle in an attempt to open the door (i.e., the distance between the person and the door is smaller than a preset distance threshold value, for example), and/or when it is detected that the person is opening the door, particularly when the door is not opened using a car key or a remote controller, a facial image of the person can be acquired through the vehicle-mounted camera, and face recognition processing is performed on the acquired facial image so as to extract facial features of the person. The extracted facial features are compared with a facial feature database of familiar people of the own vehicle, whereby it can be determined whether the person is a stranger who has not taken the own vehicle. During daily use of the vehicle, facial information of all persons who have taken the vehicle (especially the user of the vehicle and his family friends) is identified and stored under authorized conditions to build a facial feature database for the familiar persons of the vehicle.
If a person approaching the vehicle and/or opening the door cannot extract the facial features of the person by carrying a mask, or the like, the person is determined to be a stranger who has not ridden on the vehicle, and is highly suspicious.
If the person is a stranger who has not taken the vehicle, an image of the person' S behavior acquired by the in-vehicle camera 11 is subjected to image processing in step S2 to determine whether there is suspicious behavior of the person. The acquired images can be processed by means of an object classifier and/or a convolutional neural network, which has been trained beforehand for a sufficient number of suitable image sequences, so that suspicious behaviors of the person can be detected. Furthermore, by means of the object tracking algorithm, the onboard camera 11 can also be made to track and record images concerning the person's behaviour in order to completely identify the person's overall course of behaviour.
In the sense of the present invention "suspicious behavior" is understood to mean the usual behavior of a thief during a vehicle theft. Illustratively, if the person looks inside the host vehicle and around himself to ensure that he is not found, suspicious behavior of the person may be determined; if the person opens the carried tool and approaches the vehicle, suspicious behavior of the person may be determined.
If there is suspicious activity of the person, a request for authorized authentication is sent to the person in step S3. The person may be requested to enter a verification code for verifying the authorized identity of the vehicle, for example via an external loudspeaker, which is preset by the owner of the vehicle, or may be sent to a legal driver authorized by the owner of the vehicle.
In step S4, an optical and/or acoustic alarm is activated in case the person fails the authorized authentication. For example, the person may be considered to have failed the authorized identity if the person has not entered a correct authentication code within a predetermined period of time and/or has not entered a correct authentication code within a predetermined number of attempts. In particular, in the event that the person has not left the vehicle after the authentication of the authorized identity, an optical and/or acoustic alarm may be activated, for example by sending an acoustic alarm through an external loudspeaker and flashing a warning through a horn, headlight or turn signal, thereby attracting the attention of surrounding persons and urging the person away from the vehicle.
According to the embodiment of the invention, the request for authorizing the authentication is sent to the stranger under the condition that the suspicious behavior of the stranger is identified, so that the damage or theft of a thief can be timely and pre-warned before the vehicle is damaged or stolen, the warning time of the vehicle-mounted anti-theft system is effectively improved, and the vehicle theft of the stranger is prevented in advance.
Fig. 2 shows a flowchart of a method for vehicle burglar alarm according to another exemplary embodiment of the present invention. Only the differences from the embodiment shown in fig. 1 are explained below, and the same steps are not repeated for the sake of brevity.
The method may further comprise step S5. In step S5, the image information about the person acquired by the in-vehicle camera 11 is sent to the back-end platform 2 and/or the user' S mobile terminal 3 for use by the back-end platform and/or the user for alerting. Here, the face information and suspicious behavior information of the person may be uploaded to a back-end platform 2 that establishes a communication connection with the host vehicle, where the back-end platform 2 is, for example, a preset platform that provides a vehicle monitoring service, and the back-end platform 2 alarms to an alarm platform after confirming the received information. The face information of the person may be transmitted to the mobile terminal 3 of the user, and the user may give an alarm after confirming the vehicle theft of the person.
In addition, it should be noted that the sequence numbers of the steps described herein do not necessarily represent a sequential order, but are merely a reference number, and the order may be changed according to circumstances as long as the technical object of the present invention can be achieved.
FIG. 3 illustrates a schematic block diagram of a vehicle burglar alarm system according to an exemplary embodiment of the present invention.
As shown in fig. 3, the vehicle burglar alarm system 1 may include the following components:
an onboard camera 11 configured for acquiring image information about a person approaching the own vehicle and/or opening a door;
-a human-machine interaction module 12 configured for performing an authorized authentication of the person and activating an optical and/or acoustic alarm if the person fails the authorized authentication, wherein the human-machine interaction module 12 comprises for example an external speaker and a language recognition unit, a horn, a headlight and/or a turn signal, etc.; and
a control module 13 configured for performing the method according to the invention.
Optionally, the vehicle burglar alarm system 1 may further comprise an in-vehicle communication module 14 configured for transmitting image information about the person acquired by means of the in-vehicle camera 11 to the back-end platform 2 and/or the user's mobile terminal 3.
Although specific embodiments of the invention have been described in detail herein, they are presented for purposes of illustration only and are not to be construed as limiting the scope of the invention. Various alternatives and modifications can be devised without departing from the spirit and scope of the invention.
Claims (10)
1. A method for vehicle burglar alarm, the method comprising:
step S1: identifying whether a person approaching the host vehicle and/or opening a door is a stranger who has not taken the host vehicle;
step S2: if the person is a stranger who has not ridden on the vehicle, performing image processing on an image on the person's behavior acquired by an in-vehicle camera (11) to determine whether there is suspicious behavior of the person;
step S3: if suspicious behavior of the person exists, sending a request for authorizing identity verification to the person; and
step S4: in case the person fails the authorized identity verification, an optical and/or acoustic alarm is activated.
2. The method according to claim 1, wherein an optical and/or acoustic alarm is activated if the person fails the authorized identity for a predetermined period of time and/or for a predetermined number of attempts and the person has not left the vehicle.
3. The method according to any one of the preceding claims, wherein face images acquired by means of an onboard camera (11) on a person approaching the vehicle and/or opening the door are subjected to face recognition processing to determine whether said person is a stranger not riding on the vehicle by: the face image of the person approaching the host vehicle and/or opening the door is compared with the stored face image of the person riding in the host vehicle.
4. The method of any of the preceding claims, wherein the image processing comprises an object classifier, a convolutional neural network, and/or an object tracking algorithm.
5. The method according to any of the preceding claims, wherein the method further comprises:
step S5: and sending the image information about the personnel acquired by the vehicle-mounted camera (11) to a back-end platform (2) and/or a mobile terminal (3) of a user so as to be used by the back-end platform (2) and/or the user for alarming.
6. A method according to any of the preceding claims, wherein the suspicious behaviour of the person comprises the person looking into the interior of the host vehicle and around himself, and/or the person opening a carried tool and approaching the host vehicle.
7. A vehicle burglar alarm system (1), the vehicle burglar alarm system (1) comprising the following components:
an in-vehicle camera (11) configured to acquire image information about a person approaching the host vehicle and/or opening a door;
-a human-machine interaction module (12) configured for performing an authorized authentication of the person and activating an optical and/or acoustic alarm if the person fails the authorized authentication; and
control module (13) configured for performing the method according to any of the preceding claims.
8. The vehicle burglar alarm system (1) according to claim 7, wherein the vehicle burglar alarm system (1) further comprises an in-vehicle communication module (14) configured for transmitting image information about the person acquired by means of an in-vehicle camera (11) to a back-end platform (2) and/or a mobile terminal (3) of a user.
9. A vehicle comprising a vehicle burglar alarm system (1) according to claim 7 or 8.
10. A computer program product, such as a computer-readable program carrier, comprising or storing computer program instructions which, when executed by a processor, at least assist in carrying out the steps of the method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410232807.1A CN117864061A (en) | 2024-03-01 | 2024-03-01 | Method for vehicle anti-theft alarm and vehicle anti-theft alarm system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410232807.1A CN117864061A (en) | 2024-03-01 | 2024-03-01 | Method for vehicle anti-theft alarm and vehicle anti-theft alarm system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117864061A true CN117864061A (en) | 2024-04-12 |
Family
ID=90581461
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410232807.1A Pending CN117864061A (en) | 2024-03-01 | 2024-03-01 | Method for vehicle anti-theft alarm and vehicle anti-theft alarm system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117864061A (en) |
-
2024
- 2024-03-01 CN CN202410232807.1A patent/CN117864061A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10654448B2 (en) | Vehicle security system | |
| JP6882809B2 (en) | Self-driving car and self-driving car anti-theft program | |
| US7471192B2 (en) | Anti-theft system for vehicle | |
| US7532107B2 (en) | Anti-theft system for vehicle | |
| CN107554483A (en) | A kind of VATS Vehicle Anti-Theft System based on human face expression action recognition | |
| KR100656231B1 (en) | Antitheft device, monitoring device and antitheft system | |
| CN103693012A (en) | Automobile anti-theft system | |
| CN102358259A (en) | Automobile anti-theft automatic control system based on biological information identification | |
| US7350615B2 (en) | Vehicle anti theft system, vehicle anti theft method, and computer program | |
| CN110027509A (en) | A kind of vehicular theft-prevention monitoring device and method based on recognition of face | |
| AU2020101134A4 (en) | A Vehicle Anti-Theft System Based on Facial Expression Action Recognition | |
| CN106541925A (en) | The anti-stealing method for vehicles and device of identification high in the clouds address list are read based on palmmprint | |
| JP2003182525A (en) | Antitheft device for automobile | |
| CN111645632B (en) | Automobile anti-theft and positioning tracking system based on intelligent identification and big data | |
| KR20160028542A (en) | an emergency management and crime prevention system for cars and the method thereof | |
| Powale et al. | Real time Car Antitheft System with Accident Detection using AVR Microcontroller; A Review | |
| KR101437406B1 (en) | an emergency management and crime prevention system for cars and the method thereof | |
| CN117864061A (en) | Method for vehicle anti-theft alarm and vehicle anti-theft alarm system | |
| JP2017206183A (en) | Vehicle system | |
| JP3797237B2 (en) | Vehicle interior monitor device, vehicle interior monitor control device, vehicle thief identification system | |
| CN210222996U (en) | Intelligent wind control system for taxi booking and taxis | |
| JP4534196B2 (en) | Vehicle anti-theft system | |
| CN115515827A (en) | Secure notification based on biometric identifiers | |
| CN209955944U (en) | Alarm device for automobile anti-theft | |
| JPH11180254A (en) | Location monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication |