CN111649757A - Automobile intelligent alarm method based on big data and positioning tracking - Google Patents
Automobile intelligent alarm method based on big data and positioning tracking Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/3415—Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3605—Destination input or retrieval
- G01C21/3608—Destination input or retrieval using speech input, e.g. using speech recognition
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3691—Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
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Abstract
The invention discloses an automobile intelligent alarm method based on big data and positioning tracking, which mainly comprises the following steps: setting a safety supervision module; associating the passenger with the seated vehicle by identification; an intelligent voice recognition module is arranged in the vehicle, the alarm language of the driver is recognized through comparison with the voice information of the driver, the alarm language of the passenger is recognized through comparison with the voice information of the passenger, and the alarm language is used as alarm information and is transmitted to a safety monitoring module; the safety monitoring module locks a vehicle sending alarm information through a positioning device, starts a monitoring camera device closest to the position of the vehicle to perform tracking shooting and positioning, draws a running route of the vehicle, and takes vehicle information, the position, a tracking shooting picture and the running route of the vehicle as the alarm information; the safety monitoring module sends the alarm information to the police force on duty nearest to the alarm vehicle, and the police force on duty tracks and surveys the alarm vehicle.
Description
Technical Field
The invention relates to the technical field of big data and intelligent traffic, in particular to an automobile intelligent alarm method based on big data and positioning tracking.
Background
The automobile has become an important travel tool in the work and life of people, wherein taxies, net appointment cars, drip special cars and the like are more indispensable travel modes of people. The travel modes can promote employment of a part of people and greatly facilitate travel requirements of people, but due to the fact that lawless persons can take the machine by the loss in the aspect of monitoring of the travel modes, the lawless persons are under charge of the taxi, taxi drivers or disputes between the passengers and the drivers almost every year, and then criminal events are developed, so that social insecurity is increased, and bad influence is caused on life of people.
The existing car renting industry also has a certain alarming function, but generally alarms through a telephone 110 or adopts a mode of calling and short messages to complain to a car renting platform for alarming, and the alarming modes have the defect of untimely response. For example, after the passenger anticipates danger and reacts to the car renting platform, the car renting platform often cannot make timely and effective response, and further development of crime incidents cannot be avoided in time; the passenger foresees danger to alarm 110 because the vehicle is in the process of traveling and the vehicle is not controlled, the police cannot master more information in the first time and cannot lock and track the suspect vehicle in the first time, and further development of the criminal incident is avoided. Similarly, taxi drivers can face a plurality of dangers such as car robbery and wealth robbery, and sometimes criminals can control people in the taxi to be incapable of normally alarming in the modes of telephone, short message and the like, and the opportunity of getting rescue is lost.
Disclosure of Invention
An object of the present invention is to solve at least the above problems and to provide at least the advantages described later.
Still another object of the present invention is to provide an intelligent alarm method for automobile based on big data and location tracking, which can automatically alarm to get timely rescue when the driver or passenger anticipates or has danger.
It is still another object of the present invention to provide an automatic alarm, locking and tracking method based on an urban transportation network and police force distribution system, which can quickly lock and track an alarm vehicle and provide timely rescue.
To achieve these objects and other advantages in accordance with the purpose of the invention, there is provided a method for intelligent alarm of vehicle based on big data and location tracking, which mainly comprises the following steps:
s1, setting a safety supervision module which comprises a monitoring camera device, a positioning device and a monitoring module based on the urban traffic network; the safety supervision module is provided with a driver information base and a passenger information base, and collects voice information of a driver and passengers, wherein the voice information comprises an alarm language and a confirmation language for confirming whether to alarm or not;
s2, associating the passenger with the seated vehicle through identification;
s3, arranging an intelligent voice recognition module in the vehicle, recognizing the alarm language of the driver by comparing the voice recognition module with the voice information of the driver, recognizing the alarm language of the passenger by comparing the voice recognition module with the voice information of the passenger, and transmitting the alarm language as alarm information to a safety monitoring module;
s4, the safety monitoring module locks a vehicle sending alarm information through a positioning device, starts a monitoring camera device closest to the position of the vehicle to perform tracking shooting and positioning, draws a driving route of the vehicle, and takes the vehicle information, the position, the tracking shooting picture and the driving route of the vehicle as the alarm information;
and S5, the safety monitoring module sends alarm information to the duty police force closest to the alarm vehicle, and the duty police force tracks and surveys the alarm vehicle.
Preferably, a communication module connected with the safety supervision module is arranged in the vehicle.
Preferably, the alarm language is preset based on the voice of the driver and the passenger, the driver records the self-set specific language as the alarm language and records the alarm language in the driver information base, and the passenger records the self-set specific language as the alarm language and records the alarm language in the passenger information base; the confirmation language includes the question and a first voice as "yes" and a second voice as "no"; and after the safety monitoring module receives the alarm information, the information is verified with the personnel in the vehicle through the communication module.
Preferably, the information verification comprises driver verification, and the specific method comprises the following steps:
s4.1, matching the sound of the driver with the sound of the alarm language, determining whether the driver is the driver, if the matching is unsuccessful, defaulting to be true, and starting S4 and S5; if the matching is successful, starting the step S4.2;
s4.2, the safety monitoring module asks the questions in the confirmation language to the driver, the driver replies yes or no to the first voice or the second voice instead, and when the answer to the reply is yes, the steps S4 and S5 are started; and if the answer is no, the safety monitoring module checks and cancels the alarm information.
Preferably, the information verification includes passenger verification by:
s5.1, matching the voice of the passenger with the voice of the alarm language to confirm the identity of the passenger;
s5.2, the safety monitoring module asks the passenger to ask a question in the confirmation language of the passenger, the passenger replies yes or no if the first voice or the second voice is replied, and when the answer to the reply is yes, S4 and S5 steps are started; and if the answer is no, the safety monitoring module checks and cancels the alarm information.
Preferably, the system further comprises an eye movement alarm system, which comprises a camera with a face recognition function and an eye movement recognition module connected with the safety supervision module, wherein the eye movement recognition module records eye movement information of multiple drivers as an alarm signal, the camera captures eye movements of the drivers through the face recognition of the drivers, transmits the eye movements to the eye movement recognition module to be compared with the eye movement information, generates alarm information when the eye movements of the drivers accord with the eye movement information and transmits the alarm information to the safety monitoring module, starts S4 and S5, and confirms the alarm information through S4.1 and S4.2.
Preferably, the eye movement information includes: the number of blinks continuously within 10 seconds, the camera is watched continuously for more than 10 seconds, and the eyeball is watched continuously for more than 1 circle clockwise or anticlockwise.
Preferably, the system further comprises a route monitoring module, wherein the route monitoring module comprises a positioning and navigation system based on an electronic map and an alarm module, a passenger selects a starting point and a destination, the navigation system plans a route and calculates an arrival time, when the route monitoring module detects that the vehicle deviates from the selected route or does not arrive at the destination within an expected time, the alarm module sends alarm information and transmits the alarm information to the safety monitoring module, S4 and S5 are started, and the alarm information is confirmed through S5.1 and S5.2.
Preferably, the on-duty police force is a mobile police station or an on-duty police officer distributed in a city, the safety monitoring module sends the alarm information to the on-duty police force closest to the alarm vehicle after confirming the alarm information, and the on-duty police force receives a task and then tracks and investigates the alarm vehicle to feed back to the safety monitoring module after solving a problem; the safety monitoring module records an alarm output record and a problem solving record.
The invention at least comprises the following beneficial effects:
1. by arranging the safety monitoring module and recording the specific alarm language and confirmation language of each driver and each passenger as voice information, when the driver or each passenger predicts a dangerous condition or cannot give an alarm when the driver or each passenger is stressed, the alarm can be given under the condition that other people do not know through the alarm language, the truth of alarm information is verified through the preset confirmation language after the alarm is successful, the smooth alarm and rescue probability is improved, and the false alarm is convenient to be eliminated based on the real condition.
2. Through being connected safety supervision module and the police force on duty in city, can directly utilize urban traffic network to fix a position the car after the vehicle sends alarm information, contact the nearest police force of distance warning vehicle simultaneously and lock the investigation to this vehicle, deal with rapidly.
3. By arranging the eye movement alarm system, when a driver is forced to start or drive a vehicle and cannot actively alarm, the driver can automatically alarm through the transmission of eye movement information, and the safety supervision module confirms alarm information, so that a police nearest to the vehicle can quickly lock the alarm vehicle and investigate the alarm vehicle, and the safety of people and vehicles is improved.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
FIG. 1 is a flow chart of an intelligent alarm method for an automobile according to the present invention.
Detailed Description
The present invention is further described in detail below with reference to the attached drawings so that those skilled in the art can implement the invention by referring to the description text.
It will be understood that terms such as "having," "including," and "comprising," as used herein, do not preclude the presence or addition of one or more other elements or groups thereof.
As shown in FIG. 1, the invention provides an intelligent alarm method for an automobile based on big data and positioning tracking, which mainly comprises the following steps:
s1, setting a safety supervision module which comprises a monitoring camera device, a positioning device and a monitoring module based on the urban traffic network; the safety supervision module is provided with a driver information base and a passenger information base, and collects voice information of a driver and passengers, wherein the voice information comprises an alarm language and a confirmation language for confirming whether to alarm or not. The driver and the passenger can preset and input respective voice information in a mode of registering in the safety supervision module respectively.
And S2, associating the passenger with the seated vehicle through identification. The identity recognition method can be a face recognition method, a voice recognition method or a combination of the face recognition method and the voice recognition method, and aims to bind passengers with the contracted vehicle, so that the vehicle information of the vehicle and the information of personnel in the vehicle can be known at the same time when an alarm message is obtained. Face recognition can be completed by means of a camera in the vehicle, the safety monitoring module records face image information of a driver and passengers, and the camera recognizes a head portrait and is automatically matched with an information base.
S3, an intelligent voice recognition module is arranged in the vehicle, the intelligent voice recognition module recognizes the alarm language of the driver through comparison with the voice information of the driver, recognizes the alarm language of the passenger through comparison with the voice information of the passenger, and sends the alarm language as alarm information to the safety monitoring module.
And S4, the safety monitoring module locks the vehicle sending the alarm information through the positioning device, starts the monitoring camera device closest to the position of the vehicle to perform tracking shooting and positioning, draws the driving route of the vehicle, and takes the vehicle information, the position, the tracking shooting picture and the driving route of the vehicle as the alarm information.
And S5, the safety monitoring module sends alarm information to the duty police force closest to the alarm vehicle, and the duty police force tracks and surveys the alarm vehicle.
In the scheme, by arranging the safety monitoring module and recording the specific alarm language and confirmation language of each driver and each passenger as the voice information, when the driver or each passenger predicts a dangerous condition or cannot give an alarm when the driver or each passenger is stressed, the alarm can be given under the condition that other people are unconscious through the alarm language, the truth of alarm information is verified through the preset confirmation language after the alarm is successful, the smooth alarm and rescue probability is improved, and the false alarm is conveniently eliminated based on the real condition.
The alarm language information is a self-set alarm language, and can alarm in a hidden alarm mode when the alarm is inconvenient to directly alarm under the condition of predicting danger, for example, the self-set alarm language of the passenger A is ' I ' good ', the self-set alarm language of the passenger B is ' please drive the vehicle to walk slowly ', and then the passenger can speak the alarm language to alarm when judging that the danger condition is met. Similarly, when the driver registers in the safety monitoring module, the driver also needs to input an alarm language to be stored in the driver information base, and when the driver is in danger, the driver can also alarm in the above mode.
After the safety supervision module receives the alarm information, the vehicle sending the alarm information is positioned and locked, the monitoring camera which is closest to the vehicle on the driving route of the vehicle is started to track and shoot, the cameras of the vehicle route capture and record the locked vehicle, the movement and the state of the vehicle are known in time, and sufficient information is provided for follow-up investigation. The related information of the alarm vehicle is packaged and transmitted to the police force on duty through the safety monitoring module, the information of the alarm vehicle can be directly known, then the police investigation of the nearest police officer on duty is automatically matched according to the position of the alarm vehicle, the police time is greatly shortened, and the efficiency is improved.
In a preferred scheme, a communication module connected with the safety supervision module is arranged in the vehicle.
In the scheme, the communication module is used for establishing direct contact between the safety supervision module and people in the vehicle, so that voice alarm and checking of the people in the vehicle are facilitated, and command of the safety supervision module on the vehicle is facilitated. In addition, in order to timely eliminate potential dangers in the vehicle, the safety monitoring module performs interval contact on personnel in the vehicle through the communication module in a specific driving time period or a safety accident multi-occurrence road section counted by big data, and when a response indicating insecurity is obtained, the safety monitoring module starts S4 and S5.
In a preferred scheme, the alarm language is preset based on the voice of a driver and the voice of a passenger, the driver records a self-set specific language as the alarm language and records the alarm language in a driver information base, and the passenger records a self-set specific language as the alarm language and records the alarm language in a passenger information base; the confirmation language includes the question and a first voice as "yes" and a second voice as "no"; and after the safety monitoring module receives the alarm information, the information is verified with the personnel in the vehicle through the communication module.
In the scheme, the alarm information is checked in a password and password mode, false alarm is eliminated, and the condition that an alarm person is forced to accept false alarm by the coercion of the alarm person is avoided.
In a preferred embodiment, the information verification includes driver verification, and the specific method includes:
s4.1, matching the sound of the driver with the sound of the alarm language, determining whether the driver is the driver, if the matching is unsuccessful, defaulting to be true, and starting S4 and S5; if the matching is successful, starting the step S4.2;
s4.2, the safety monitoring module asks the questions in the confirmation language to the driver, the driver replies yes or no to the first voice or the second voice instead, and when the answer to the reply is yes, the steps S4 and S5 are started; and if the answer is no, the safety monitoring module checks and cancels the alarm information.
In the scheme, a user-defined problem is input when the driver information base and the passenger information base are input, the first language is input by voice to serve as a yes code, the second language is input to serve as a no code, the code can be known by a safety monitoring module and a person executing tracking after automatic alarming, and conversation is carried out according to the code to further confirm the truth of alarming and eliminate false alarming. Such as: the driver asks a set language code problem of 'restricted number today', and the first language of 'restricted number' indicates that the alarm is true and needs assistance; the second language is "don't limit" to indicate that the alarm was caused by mistake and no assistance is required.
In a preferred embodiment, the information verification includes passenger verification by:
s5.1, matching the voice of the passenger with the voice of the alarm language to confirm the identity of the passenger;
s5.2, the safety monitoring module asks the passenger to ask a question in the confirmation language of the passenger, the passenger replies yes or no if the first voice or the second voice is replied, and when the answer to the reply is yes, S4 and S5 steps are started; and if the answer is no, the safety monitoring module checks and cancels the alarm information.
In a preferred scheme, the system further comprises an eye movement alarm system, the eye movement alarm system comprises a camera with a face recognition function and an eye movement recognition module connected with the safety supervision module, the eye movement recognition module records eye movement information of multiple drivers as alarm signals, the camera captures eye movements of the drivers through face recognition of the drivers, transmits the eye movements to the eye movement recognition module to be compared with the eye movement information, generates alarm information when the eye movements of the drivers accord with the eye movement information and transmits the alarm information to the safety monitoring module, starts S4 and S5, and confirms the alarm information through S4.1 and S4.2.
In the above scheme, when the driver receives the duress and cannot give an alarm by voice, the driver can give an alarm by eye action, for example: the net car reservation driver is forced by the passenger to lie a certain car on the way of a certain driving, and the net car reservation driver gives an alarm by utilizing the blinking action. In addition, Zhang a person utilizes the preset alarm language information in the safety monitoring module to carry out voice alarm. After the alarm is successful, the safety monitoring module inquires by using a preset confirmation voice message: "do you limit the number today", Zhangyi answers "limit the number" and shows that I have danger, need to assist, then the safety monitoring module matches the police officer nearest to Zhangyi vehicle distance, and convey the information of warning vehicle and personnel to it, make the police officer lock and reach the vehicle position fast; if Zhang a somebody is normal driving, and automatic alarm is caused by personal error in the driving process, the question Zhang a somebody after the connection of the safety monitoring module answers 'no limit number', and the alarm is invalid. The method avoids the problem that the driver cannot describe the accuracy of the alarm information according to the force of gangsters.
In a preferred aspect, the eye movement information includes: the number of blinks continuously within 10 seconds, the camera is watched continuously for more than 10 seconds, and the eyeball is watched continuously for more than 1 circle clockwise or anticlockwise.
In the above scheme, a camera for face recognition may be connected to the eye movement analysis device or the processor to intelligently recognize the eye movement of a person, and a certain special movement of the eye is set in advance as an exchange password, for example, 4 times of continuous blinking within 10 seconds is used as a password that "i are forced by the person"; blinking for 6 times within 10 seconds continuously as a password that "i am ill or injured"; watching the camera and rotating the eyeball clockwise for 3 circles to show that the camera can not move; the disease eyeball of the watching camera rotates 3 circles anticlockwise to show that 'I has life danger' and the like.
In a preferred scheme, the system further comprises a route monitoring module, wherein the route monitoring module comprises a positioning and navigation system based on an electronic map and an alarm module, a passenger selects a starting point and a destination, the navigation system plans a route and calculates arrival time, when the route monitoring module detects that a vehicle deviates from the selected route or does not arrive at the destination within the predicted time, the alarm module sends alarm information and transmits the alarm information to the safety monitoring module, S4 and S5 are started, and the alarm information is confirmed through S5.1 and S5.2.
In the scheme, the driving route of the vehicle is automatically monitored by means of the navigation positioning system, and the vehicle gives an alarm when deviating from the preset driving route. When the predetermined route needs to be changed due to the road condition, the change is confirmed by the passenger, and the safety monitoring module performs voice confirmation through the communication module after the change is made, to confirm whether it is a normal change of the passenger's intention. The voice confirmation method is carried out by adopting a confirmation language, and ensures that the passenger replies with a real intention.
In a preferred scheme, the on-duty police force is a mobile police station or an on-duty police officer distributed in a city, after confirming alarm information, the safety monitoring module sends the alarm information to the on-duty police force closest to an alarm vehicle, and after receiving a task, the on-duty police force performs tracking investigation on the alarm vehicle and feeds back the problem to the safety monitoring module; the safety monitoring module records an alarm output record and a problem solving record.
While embodiments of the invention have been disclosed above, it is not limited to the applications set out in the description and the embodiments, which are fully applicable in all kinds of fields suitable for this invention, and further modifications may readily be effected by those skilled in the art, and the invention is thus not limited to the specific details and illustrations, without departing from the general concept defined by the claims and their equivalents.
Claims (9)
1. An automobile intelligent alarm method based on big data and positioning tracking mainly comprises the following steps:
s1, setting a safety supervision module which comprises a monitoring camera device, a positioning device and a monitoring module based on the urban traffic network; the safety supervision module is provided with a driver information base and a passenger information base, and collects voice information of a driver and passengers, wherein the voice information comprises an alarm language and a confirmation language for confirming whether to alarm or not;
s2, associating the passenger with the seated vehicle through identification;
s3, arranging an intelligent voice recognition module in the vehicle, recognizing the alarm language of the driver by comparing the voice recognition module with the voice information of the driver, recognizing the alarm language of the passenger by comparing the voice recognition module with the voice information of the passenger, and transmitting the alarm language as alarm information to a safety monitoring module;
s4, the safety monitoring module locks a vehicle sending alarm information through a positioning device, starts a monitoring camera device closest to the position of the vehicle to perform tracking shooting and positioning, draws a driving route of the vehicle, and takes the vehicle information, the position, the tracking shooting picture and the driving route of the vehicle as the alarm information;
and S5, the safety monitoring module sends alarm information to the duty police force closest to the alarm vehicle, and the duty police force tracks and surveys the alarm vehicle.
2. The intelligent alarm method for automobile based on big data and positioning tracking as claimed in claim 1, wherein a communication module connected with the safety supervision module is arranged in the automobile.
3. The intelligent alarming method for automobile based on big data and positioning tracking as claimed in claim 2, wherein the alarming language is preset based on the voice of driver and passenger, the driver records the self-set specific language as alarming language and records it in the driver information base, and the passenger records the self-set specific language as alarming language and records it in the passenger information base; the confirmation language includes the question and a first voice as "yes" and a second voice as "no"; and after the safety monitoring module receives the alarm information, the information is verified with the personnel in the vehicle through the communication module.
4. The intelligent warning method for the automobile based on the big data and the location tracking as claimed in claim 3, wherein the information verification comprises driver verification, and the specific method comprises the following steps:
s4.1, matching the sound of the driver with the sound of the alarm language, determining whether the driver is the driver, if the matching is unsuccessful, defaulting to be true, and starting S4 and S5; if the matching is successful, starting the step S4.2;
s4.2, the safety monitoring module asks the questions in the confirmation language to the driver, the driver replies yes or no to the first voice or the second voice instead, and when the answer to the reply is yes, the steps S4 and S5 are started; and if the answer is no, the safety monitoring module checks and cancels the alarm information.
5. The intelligent alarm method for vehicle based on big data and location tracking as claimed in claim 3, wherein the information verification includes passenger verification by:
s5.1, matching the voice of the passenger with the voice of the alarm language to confirm the identity of the passenger;
s5.2, the safety monitoring module asks the passenger to ask a question in the confirmation language of the passenger, the passenger replies yes or no if the first voice or the second voice is replied, and when the answer to the reply is yes, S4 and S5 steps are started; and if the answer is no, the safety monitoring module checks and cancels the alarm information.
6. The intelligent automobile alarm method based on big data and positioning tracking according to claim 4, further comprising an eye movement alarm system, wherein the eye movement alarm system comprises a camera with a face recognition function and an eye movement recognition module connected with the safety supervision module, the eye movement recognition module records eye movement information of multiple drivers as alarm signals, the camera recognizes the driver through the face, captures eye movement of the driver, transmits the eye movement information to the eye movement recognition module to be compared with the eye movement information, generates alarm information when the eye movement of the driver conforms to the eye movement information, transmits the alarm information to the safety supervision module, starts S4 and S5, and confirms the alarm information through S4.1 and S4.2.
7. The intelligent warning method for automobile based on big data and positioning tracking as claimed in claim 4, wherein said eye movement information includes: the number of blinks continuously within 10 seconds, the camera is watched continuously for more than 10 seconds, and the eyeball is watched continuously for more than 1 circle clockwise or anticlockwise.
8. An intelligent alarm method for car based on big data and location tracking as claimed in claim 5, further comprising a route monitoring module, said route monitoring module comprises a location and navigation system based on electronic map and an alarm module, the passenger selects the starting point and the destination, said navigation system plans the route and calculates the arrival time, when the route monitoring module detects that the vehicle deviates from the selected route or does not arrive at the destination within the expected time, said alarm module sends out alarm information and transmits it to the safety monitoring module, starts S4 and S5, and confirms the alarm information through S5.1 and S5.2.
9. The intelligent automobile alarming method based on big data and positioning tracking as claimed in any one of claims 1-8, wherein the duty police are mobile police officers or duty officers distributed in cities, the security monitoring module sends the alarm information to the duty police officers nearest to the alarming vehicle after confirming the alarm information, and the duty police officers perform tracking investigation on the alarming vehicle after receiving a task and feed back to the security monitoring module after solving problems; the safety monitoring module records an alarm output record and a problem solving record.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113409776A (en) * | 2021-06-30 | 2021-09-17 | 南京领行科技股份有限公司 | Voice recognition method and device, electronic equipment and storage medium |
| CN114202953A (en) * | 2021-12-22 | 2022-03-18 | 广东艾科智泊科技股份有限公司 | Vehicle searching method based on panoramic parking lot |
| CN114694387A (en) * | 2022-03-31 | 2022-07-01 | 中国第一汽车股份有限公司 | Method and system for tracking automobile track |
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| CN114694387B (en) * | 2022-03-31 | 2023-04-28 | 中国第一汽车股份有限公司 | Method and system for tracking automobile track |
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