Face recognition method and system for vehicle starting

Abstract

The invention discloses a face recognition method and system for vehicle starting. The face recognition method for starting the vehicle comprises the following steps: acquiring vehicle monitoring parameter data and face data of a person to be driven; obtaining a vehicle starting safety index according to the vehicle monitoring parameter data; analyzing the vehicle safety condition according to the vehicle starting safety index; obtaining recognition result data according to the face data of the to-be-driven person; and carrying out starting control operation on the vehicle in combination with the vehicle safety condition and the identification result data, and carrying out corresponding alarm reminding operation. The vehicle starting safety index is obtained through calculation, the vehicle safety condition is analyzed according to the vehicle starting safety index, the recognition result data is obtained according to the face data of the to-be-driven person, starting control operation is conducted on the vehicle in combination with the vehicle safety condition and the recognition result data, and corresponding alarm reminding operation is conducted. The effect of safely starting the vehicle is achieved, and the problem that the vehicle cannot be quickly and safely started is solved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle safety technology, and in particular to a face recognition method and system for vehicle startup. Background Art

[0002] With the continuous improvement of social and economic levels, people's living standards have gradually improved, and cars have gradually become popular in every family. Because cars are convenient and fast to use, cars have become a frequently used means of transportation. Because cars have great economic value, people are paying more and more attention to cars. Traditional vehicle starting methods usually rely on keys or smart cards, but there are still certain security risks, such as key loss, theft, or illegal copying of smart cards. Once these problems occur, they may lead to vehicle theft and other problems. Therefore, traditional vehicle starting methods are relatively unsafe. In recent years, face recognition technology has been widely used. For example, mobile phones use face recognition to open and close screens and doors use face recognition to open and close doors. Face recognition technology can also be used to open cars.

[0003] The existing face recognition system performs face recognition on the person to be identified through face recognition related equipment inside the vehicle, obtains information on whether the person to be identified is in the vehicle, mobilizes the vehicle based on the information, and realizes the vehicle sharing function.

[0004] For example, the invention patent announcement with announcement number: CN113393137B discloses a dispatch sharing system based on the Internet of Vehicles, which includes: obtaining the transfer and facial information of passengers in the platform area, vehicle operation video and operation information, dividing the video into frames, identifying passengers through face recognition technology, and judging whether the passengers are on the vehicle.

[0005] For example, the invention patent with announcement number: CN113724005B discloses an automatic advertising delivery method and system based on face recognition, including: two network cameras, one of which is installed in the upper left corner of the driving platform, with the lens facing the upper door; the other network camera is installed on the roof of the lower door, with the lens facing the lower door, and the passenger portrait and action information are collected through the network camera, and the data collected by the network camera is transmitted to the edge computing box through the network; then the edge computing box performs calculation and analysis based on the information collected by the network camera, so as to obtain the total number of passengers, gender, and age data on the vehicle between the two stations.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, the traditional vehicle opening method has low safety performance and cannot start the vehicle quickly and safely. Summary of the invention

[0008] The embodiment of the present application solves the problem in the prior art that the vehicle cannot be started quickly and safely by providing a face recognition method for starting a vehicle, thereby achieving quick and safe vehicle starting.

[0009] An embodiment of the present application provides a face recognition method for vehicle startup, comprising the following steps: acquiring vehicle monitoring parameter data and face data of a person to be driven; obtaining a vehicle startup safety index based on the vehicle monitoring parameter data; analyzing the vehicle safety situation based on the vehicle startup safety index; obtaining recognition result data based on the face data of the person to be driven; performing vehicle startup control operations in combination with the vehicle safety situation and the recognition result data, and performing corresponding alarm reminder operations.

[0010] Furthermore, the specific process of obtaining the vehicle startup safety index based on the vehicle monitoring parameter data is: obtaining the vehicle monitoring parameter data, the vehicle monitoring parameter data including the hazard data of harmful gases in the vehicle and the safety degree data of temperature impact; analyzing the vehicle monitoring parameter data to obtain monitoring index data, the monitoring index data including the hazard index of harmful gases in the vehicle and the safety degree index of temperature impact, the hazard index of harmful gases in the vehicle represents data for evaluating the safety impact of harmful gases in the vehicle on the driver, and the temperature impact safety degree index represents data for evaluating the safety impact of vehicle-related temperatures on the driver; analyzing the monitoring index data to obtain the vehicle startup safety index, the vehicle startup safety index represents data for evaluating the safety impact of harmful gases in the vehicle and the vehicle temperature before the vehicle is started on the driver.

[0011] Furthermore, the hazardous data of harmful gases in the vehicle include: toluene concentration data, maximum toluene concentration data that the human body can safely withstand, formaldehyde concentration data, maximum formaldehyde concentration data that the human body can safely withstand, carbon monoxide concentration data, maximum carbon monoxide concentration data that the human body can safely withstand, benzene concentration data, and maximum benzene concentration data that the human body can safely withstand; the data on the degree of safety affected by temperature include: vehicle interior space temperature data, vehicle ambient temperature data, internal combustion engine surface temperature data, and electric motor surface temperature data.

[0012] Furthermore, the step of obtaining the vehicle start safety index is: obtaining the number of times the start key is pressed, and numbering the number of times the start key is pressed; constructing a vehicle start safety index calculation formula; the specific vehicle start safety index calculation formula is: In the formula, It is represented as the vehicle start safety index when the start button is pressed for the a0th time, a0=1,2,...,a, a represents the total number of times the start button is pressed, It is expressed as the hazardous index of harmful gases in the car when the start button is pressed for the a0th time. It is expressed as the temperature impact safety index when the start button is pressed for the a0th time, and m1 and m2 respectively represent the weight ratio of the harmful gas hazard index in the vehicle and the temperature impact safety index in the vehicle start safety index.

[0013] Furthermore, the steps for obtaining the hazardous gas hazard index in the vehicle are: performing multiple data acquisitions at each startup, and numbering the data acquisition times; constructing a calculation formula for the hazardous gas hazard index in the vehicle; the specific calculation formula for the hazardous gas hazard index in the vehicle is: In the formula, It is expressed as the hazardous gas hazard index in the car when the start button is pressed for the a0th time. It represents the toluene concentration data when the i0th data is acquired by pressing the start key for the a0th time, i0=1,2,...,i, i represents the total number of data acquisitions, W represents the maximum toluene concentration data that the human body can safely withstand, It represents the formaldehyde concentration data when the start button is pressed for the a0th time and the i0th data is obtained. S represents the maximum formaldehyde concentration data that the human body can safely withstand. It represents the carbon monoxide concentration data when the start button is pressed for the a0th time and the i0th data is obtained. X represents the maximum carbon monoxide concentration data that the human body can safely withstand. It is represented by the benzene concentration data when the i0th data is obtained by pressing the start button for the a0th time, Q is represented by the maximum value of benzene concentration that the human body can safely withstand, h1, h2, h3 and h4 are respectively represented by the weight proportion of toluene concentration data, formaldehyde concentration data, carbon monoxide concentration data and benzene concentration data in the harmful gas hazard index in the vehicle, and h0 is represented by the vehicle monitoring parameter data error of the harmful gas hazard index in the vehicle; the steps for obtaining the temperature influence safety index are: obtaining the number of vehicle internal combustion engines data and numbering the internal combustion engines; obtaining the number of vehicle motors data and numbering the motors; constructing the temperature influence safety index calculation formula: the specific temperature influence safety index calculation formula is: In the formula, It is expressed as the temperature impact safety index when the start button is pressed for the a0th time. It represents the vehicle interior space temperature data when the i0th data is acquired by pressing the start button for the a0th time. It represents the vehicle ambient temperature data when the start button is pressed for the a0th time and the i0th data is obtained. It represents the internal combustion engine surface temperature data of the c0th internal combustion engine when the i0th data is acquired when the start key is pressed for the a0th time, c0 = 1, 2, ..., c, c represents the total number of internal combustion engines, It is represented by the motor surface temperature data of the j0th motor when the i0th data is acquired when the start button is pressed for the a0th time, j0=1,2,...,j, j represents the total number of motors, g1, g2 and g3 respectively represent the weight proportions of the vehicle interior space temperature data, the internal combustion engine surface temperature data and the motor surface temperature data in the temperature influence safety index, and g0 represents the vehicle monitoring parameter data error of the temperature influence safety index.

[0014] Furthermore, the specific process of analyzing the vehicle safety situation according to the vehicle startup safety index is as follows: In the formula, It is represented as the a0th time the start button is pressed, γ1 and γ2 are the first threshold and the second threshold of the vehicle start safety index, and 0<γ1<γ2 is satisfied. It is expressed as the vehicle start safety index when the start button is pressed for the a0th time, A represents a safe situation, and B represents a dangerous situation; When the vehicle is in a safe state when the start button is pressed for the a0th time; when , it means the vehicle is in danger when the start button is pressed for the a0th time.

[0015] Furthermore, the specific process of obtaining the recognition result data based on the facial data of the person to be driven is: turning on the lights after detecting that the person to be driven presses the start button; after the lights are turned on, the vehicle obtains the facial data of the person to be driven; and performing facial recognition on the obtained facial data of the person to be driven and the facial data of the authorized driver stored in the vehicle to obtain the recognition result data.

[0016] Furthermore, the identification result data is specifically manifested as: when the obtained identification result data indicates that the person to be driven is an authorized driver, the vehicle is allowed to start; when the obtained identification result data indicates that the person to be driven is not an authorized driver, the vehicle is prohibited from starting and the vehicle is kept in the off state.

[0017] Furthermore, the specific process of combining the vehicle safety situation and the identification result data to perform vehicle start control operations and perform corresponding alarm reminder operations is as follows: when the start button is pressed for the a0th time and the vehicle is in a safe situation and the identification result data indicates that the vehicle is allowed to start, a reminder is given that the vehicle is safe and can be used normally, and the vehicle starts; when the start button is pressed for the a0th time and the vehicle is in a dangerous situation, an alarm is given to remind that the vehicle is dangerous, please stop using it and pay attention to maintenance, and the vehicle does not start.

[0018] Furthermore, an embodiment of the present application provides a face recognition system for starting a vehicle, and the face recognition system for starting a vehicle includes: a data acquisition module: used to acquire vehicle monitoring parameter data and face data of the person to be driven; an index calculation module: used to obtain a vehicle starting safety index based on the vehicle monitoring parameter data; a safety analysis module: used to analyze the vehicle safety situation based on the vehicle starting safety index; an identification module: used to obtain identification result data based on the face data of the person to be driven; a starting control module: used to perform vehicle starting control operations in combination with the vehicle safety situation and the identification result data, and perform corresponding alarm reminder operations.

[0019] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0020] 1. By acquiring vehicle monitoring parameter data and facial data of the person to be driven, the vehicle monitoring parameter data is analyzed to obtain monitoring index data, and the monitoring index data is analyzed to obtain the vehicle start-up safety index. The vehicle safety situation is analyzed according to the vehicle start-up safety index, and the recognition result data is obtained according to the facial data of the person to be driven. Therefore, the vehicle start-up control operation is performed in combination with the vehicle safety situation and the recognition result data, and corresponding alarm reminder operations are performed, thereby realizing a safer vehicle start-up, and effectively solving the problem in the prior art that the vehicle cannot be started quickly and safely.

[0021] 2. By obtaining vehicle monitoring parameter data such as the hazardous data of harmful gases in the vehicle and the safety degree data of temperature impact, the vehicle monitoring parameter data is calculated to obtain monitoring index data such as the hazardous index of harmful gases in the vehicle and the safety degree index of temperature impact, and the monitoring index data is analyzed to obtain the vehicle starting safety index, so as to analyze the vehicle safety situation according to the vehicle starting safety index, and then make it clear whether the environment in which the vehicle is located is safe.

[0022] 3. By acquiring the facial data of the person to be driven, the recognition result data is obtained according to the facial data of the person to be driven, and then the vehicle is judged whether to be started according to the recognition result data, thereby achieving a safer vehicle start judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A flow chart of a vehicle start-up face recognition method provided in an embodiment of the present application;

[0024] Figure 2 A flow chart of obtaining a vehicle startup safety index based on vehicle monitoring parameter data in a vehicle startup face recognition method provided in an embodiment of the present application;

[0025] Figure 3A structural diagram of a vehicle startup safety index calculated in a vehicle startup face recognition method provided in an embodiment of the present application;

[0026] Figure 4 A schematic diagram of the structure of a face recognition system for starting a vehicle provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The embodiment of the present application solves the problem in the prior art that the vehicle cannot be started quickly and safely by providing a face recognition method for starting a vehicle. The method obtains vehicle monitoring parameter data and face data of the person to be driven; obtains a vehicle starting safety index based on the vehicle monitoring parameter data; analyzes the vehicle safety situation based on the vehicle starting safety index; obtains recognition result data based on the face data of the person to be driven; performs vehicle starting control operations in combination with the vehicle safety situation and the recognition result data, and performs corresponding alarm reminder operations, thereby achieving safer vehicle starting.

[0028] The technical solution in the embodiment of the present application is to solve the above-mentioned problem that the vehicle cannot be started quickly and safely. The overall idea is as follows:

[0029] By acquiring vehicle monitoring parameter data such as the hazardous data of harmful gases in the vehicle and the data on the degree of temperature impact on safety, and the facial data of the person to be driven, the vehicle monitoring parameter data are calculated to obtain monitoring index data such as the hazardous index of harmful gases in the vehicle and the degree of temperature impact on safety, the monitoring index data are analyzed to obtain the vehicle start-up safety index, the vehicle safety situation is analyzed according to the vehicle start-up safety index, the recognition result data is obtained according to the facial data of the person to be driven, the vehicle start-up control operation is performed in combination with the vehicle safety situation and the recognition result data, and corresponding alarm reminder operations are performed, thereby achieving the effect of opening the vehicle more safely.

[0030] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0031] like Figure 1 As shown, it is a flow chart of the face recognition method for vehicle startup provided in an embodiment of the present application. The method is applied to the face recognition system for vehicle startup, and the method includes the following steps: acquiring vehicle monitoring parameter data and face data of the person to be driven; obtaining a vehicle startup safety index based on the vehicle monitoring parameter data; analyzing the vehicle safety situation based on the vehicle startup safety index; obtaining recognition result data based on the face data of the person to be driven; performing vehicle startup control operations in combination with the vehicle safety situation and the recognition result data, and performing corresponding alarm reminder operations.

[0032] Furthermore, the specific process of obtaining the vehicle startup safety index based on the vehicle monitoring parameter data is as follows: obtaining the vehicle monitoring parameter data, the vehicle monitoring parameter data including the hazard data of harmful gases in the vehicle and the safety degree data of temperature impact; analyzing the vehicle monitoring parameter data to obtain monitoring index data, the monitoring index data including the hazard index of harmful gases in the vehicle and the safety degree index of temperature impact, the hazard index of harmful gases in the vehicle represents data for evaluating the safety degree of the harmful gases in the vehicle on the driver, and the temperature impact safety degree index represents data for evaluating the safety degree of the vehicle-related temperature on the driver; analyzing the monitoring index data to obtain the vehicle startup safety index, the vehicle startup safety index represents data for evaluating the safety degree of the harmful gases in the vehicle and the vehicle temperature before the vehicle is started.

[0033] In this embodiment, if Figure 2 As shown, it is a flow chart of obtaining the vehicle starting safety index based on the vehicle monitoring parameter data in the vehicle starting face recognition method provided in the embodiment of the present application. By performing data conversion, data storage, data cleaning and preprocessing on the vehicle monitoring parameter data such as the harmful gas hazard data in the vehicle and the temperature impact safety degree data, the vehicle monitoring parameter data is made more accurate, which is conducive to calculating a more accurate harmful gas hazard index in the vehicle and the temperature impact safety degree index. The more accurate harmful gas hazard index in the vehicle and the temperature impact safety degree index can be used to calculate a more accurate vehicle starting safety index. The accuracy of the vehicle starting safety index can affect the accuracy of the subsequent analysis of the vehicle safety situation.

[0034] Furthermore, the hazardous data of harmful gases in the vehicle include: toluene concentration data, maximum toluene concentration data that the human body can safely withstand, formaldehyde concentration data, maximum formaldehyde concentration data that the human body can safely withstand, carbon monoxide concentration data, maximum carbon monoxide concentration data that the human body can safely withstand, benzene concentration data and maximum benzene concentration data that the human body can safely withstand; the data on the degree of safety affected by temperature include: vehicle interior space temperature data, vehicle ambient temperature data, internal combustion engine surface temperature data and electric motor surface temperature data.

[0035] In this example, formaldehyde, benzene and toluene may come from plastics, rubber, adhesives and coatings in the car. These substances are released when the temperature in the car rises, especially in new cars. Carbon monoxide is a colorless and odorless gas, but long-term exposure to high concentrations of carbon monoxide may cause poisoning.

[0036] Furthermore, the steps for obtaining the vehicle start safety index are: obtaining the number of times the start key is pressed, and numbering the number of times the start key is pressed; constructing a vehicle start safety index calculation formula; the specific vehicle start safety index calculation formula is: In the formula, It is represented as the vehicle start safety index when the start button is pressed for the a0th time, a0=1,2,...,a, a represents the total number of times the start button is pressed, It is expressed as the hazardous index of harmful gases in the car when the start button is pressed for the a0th time. It is expressed as the temperature impact safety index when the start button is pressed for the a0th time, and m1 and m2 respectively represent the weight ratio of the harmful gas hazard index in the vehicle and the temperature impact safety index in the vehicle start safety index.

[0037] In this embodiment, if Figure 3 As shown, it is a structural diagram of the vehicle startup safety index calculated in the vehicle startup face recognition method provided in the embodiment of the present application. The vehicle startup safety index is calculated from two aspects: the harmful gas hazard index in the vehicle and the temperature impact safety index, so that the vehicle startup safety index is more comprehensive, which is conducive to better vehicle safety situation analysis through the vehicle startup safety index; the harmful gas hazard index in the vehicle is used to judge the hazard level of harmful gases in the vehicle. For example, when the harmful gas hazard index in the vehicle is larger, it means that the concentration of harmful gases in the vehicle is higher, and the harm to the human body is more serious; the temperature impact safety index is used to judge the normality of the vehicle-related temperature. For example, when the temperature impact safety index is too large or too small, it means that the vehicle-related temperature is abnormal and the vehicle is relatively unsafe.

[0038] Furthermore, the steps for obtaining the hazardous gas hazard index in the vehicle are: performing multiple data acquisitions at each startup, and numbering the data acquisition times; constructing a calculation formula for the hazardous gas hazard index in the vehicle; the specific calculation formula for the hazardous gas hazard index in the vehicle is: In the formula, It is expressed as the hazardous index of harmful gases in the car when the start button is pressed for the a0th time. It represents the toluene concentration data when the i0th data is acquired by pressing the start key for the a0th time, i0=1,2,...,i, i represents the total number of data acquisitions, W represents the maximum toluene concentration data that the human body can safely withstand, It represents the formaldehyde concentration data when the start button is pressed for the a0th time and the i0th data is obtained. S represents the maximum formaldehyde concentration data that the human body can safely withstand. It represents the carbon monoxide concentration data when the start button is pressed for the a0th time and the i0th data is obtained. X represents the maximum carbon monoxide concentration data that the human body can safely withstand. It is the benzene concentration data when the i0th data is obtained by pressing the start button for the a0th time, Q is the maximum benzene concentration data that the human body can safely withstand, h1, h2, h3 and h4 are the weight proportions of toluene concentration data, formaldehyde concentration data, carbon monoxide concentration data and benzene concentration data in the harmful gas hazard index in the vehicle, and h0 is the vehicle monitoring parameter data error of the harmful gas hazard index in the vehicle; the steps for obtaining the temperature influence safety index are: obtaining the number of internal combustion engines in the vehicle and numbering the internal combustion engines; obtaining the number of motors in the vehicle and numbering the motors; constructing the temperature influence safety index calculation formula: the specific temperature influence safety index calculation formula is: In the formula, It is expressed as the temperature impact safety index when the start button is pressed for the a0th time. It represents the vehicle interior space temperature data when the i0th data is acquired by pressing the start button for the a0th time. It represents the vehicle ambient temperature data when the start button is pressed for the a0th time and the i0th data is obtained. It represents the internal combustion engine surface temperature data of the c0th internal combustion engine when the i0th data is acquired when the start key is pressed for the a0th time, c0 = 1, 2, ..., c, c represents the total number of internal combustion engines, It is represented by the motor surface temperature data of the j0th motor when the i0th data is acquired when the start button is pressed for the a0th time, j0=1,2,...,j, j represents the total number of motors, g1, g2 and g3 respectively represent the weight proportions of the vehicle interior space temperature data, the internal combustion engine surface temperature data and the motor surface temperature data in the temperature influence safety index, and g0 represents the vehicle monitoring parameter data error of the temperature influence safety index.

[0039] In this embodiment, formaldehyde concentration data can be obtained through a photoelectric photometric formaldehyde detector and a portable formaldehyde detection alarm. Photoelectric photometric formaldehyde detector: This instrument uses the absorption characteristics of formaldehyde to light of a specific wavelength to determine the concentration; fixed formaldehyde gas detector: Usually used in indoor environments, it can continuously monitor and record formaldehyde concentration; benzene concentration data can be obtained through a portable benzene detector, which is used to monitor the concentration of benzene in real time; toluene concentration data can be obtained through a portable toluene detector, which is a specially designed portable device for rapid on-site detection of toluene concentration; carbon monoxide concentration data can be obtained through an electrochemical carbon monoxide concentration sensor and a semiconductor carbon monoxide sensor, etc. Electrochemical carbon monoxide concentration sensor: It uses an electrochemical monitoring element to measure the concentration of carbon monoxide 24 hours a day; semiconductor carbon monoxide sensor: It uses the change of semiconductor resistance to monitor the concentration of carbon monoxide; the maximum value data of toluene that the human body can safely withstand, the maximum value data of formaldehyde concentration that the human body can safely withstand, the maximum value data of carbon monoxide concentration that the human body can safely withstand, and the maximum value data of benzene that the human body can safely withstand are 0.20 mg / m 3 , 0.10mg / m 3 , 10mg / m 3 and 0.11 mg / m 3; Sources of data errors: Measuring equipment error: The accuracy limitation of the measuring instrument and equipment itself is a source of error. For example, the reading range, resolution, stability, etc. of the instrument may affect the accuracy of the measurement results; Operator error: The operator's technical level, experience and subjective judgment will also affect the accuracy of the data. For example, visual deviation, operating habits, technical level, etc. when reading; Environmental factors: Temperature, humidity, vibration, electromagnetic interference, etc. in the experimental or measurement environment may affect data measurement; Method error: The measurement method used or the imperfection of the experimental design may also lead to errors, for example, improper selection of statistical methods, unscientific sample extraction methods, etc.; Systematic error: Error caused by systematic deviation of equipment or operator. This error is usually constant or changes according to a certain law in a series of measurements; Random error: Error caused by a variety of uncontrollable factors. It has no fixed pattern in multiple measurements and is randomly distributed; The accuracy of the equipment and environment for obtaining data Environmental factors may affect the measurement of data, resulting in differences between the acquired data and the true value, resulting in data errors. The data error of the vehicle monitoring parameter of the harmful gas hazard index in the vehicle refers to the cumulative error between each acquired vehicle monitoring parameter data of the harmful gas hazard index in the vehicle and the true value of the vehicle monitoring parameter data of the harmful gas hazard index in the vehicle; Temperature-related data can be obtained in a variety of ways. Contact temperature measurement: Use thermocouples, thermistors and other sensors to directly contact the surface of the object, and obtain temperature data by measuring the heat exchange between the sensor and the surface of the object. It is suitable for scenarios where the temperature of a specific point needs to be accurately measured; Non-contact temperature measurement: Use an infrared thermometer , which measures temperature by detecting infrared radiation emitted from the surface of an object. It is suitable for situations where direct contact with the surface of an object is not required, such as remote monitoring or temperature measurement of moving targets; thermal imager: By capturing the thermal image of the surface of an object to analyze the temperature distribution, the temperature data of the entire surface can be obtained. It is suitable for situations where the temperature distribution of the surface of an object needs to be understood; optical fiber sensor: The use of optical fiber sensor can measure the temperature change along the length of the optical fiber in a distributed manner. It is suitable for temperature monitoring over long distances or in complex environments; acoustic wave temperature measurement: The temperature is measured by analyzing the sound waves reflected from the surface of an object. The temperature information is obtained by using the change in the propagation speed of the sound wave at different temperatures. It is suitable for situations where it is difficult to use traditional sensors The surface of the object being measured; Thermocouple array: An array composed of multiple thermocouples is used to measure the temperature distribution on the surface of an object, which is suitable for occasions requiring high-resolution temperature measurement; When obtaining surface temperature data of an object, the following factors also need to be considered: Environmental conditions: Such as temperature, humidity, wind speed, etc., which may affect the accuracy of the temperature measurement equipment and the measurement results; Object characteristics: Such as material, color, surface roughness, etc., these factors may affect the emissivity and thermal conductivity of the object; Measurement distance: For non-contact temperature measurement, the measurement distance may affect the accuracy of the measurement; Measurement time: The surface temperature of an object may change over time, so it is necessary to consider the impact of the measurement time on data acquisition;The vehicle's interior space temperature data, internal combustion engine surface temperature data, electric motor surface temperature data and vehicle ambient temperature data can be obtained through infrared thermometers, thermal imagers and other equipment; for non-contact temperature measurement, the measurement distance may affect the measurement accuracy, and the device's own measurement accuracy may also lead to errors. The temperature impact safety index vehicle monitoring parameter data error refers to the cumulative error between each acquired temperature impact safety index vehicle monitoring parameter data and the true value of the temperature impact safety index vehicle monitoring parameter data; not all cars have an electric motor. Traditional fuel vehicles (internal combustion engine vehicles) usually do not contain electric motors. They rely entirely on internal combustion engines for power. However, with the development of automobile technology, many modern cars have adopted electric motor auxiliary systems. Even if they mainly rely on internal combustion engines, traditional fuel vehicles: usually The internal combustion engine burns gasoline or diesel to generate power. Hybrid electric vehicles: Hybrid electric vehicles usually contain an internal combustion engine and an electric motor. The electric motor is used to provide additional power in certain situations or to drive the vehicle when the internal combustion engine is not running. Plug-in hybrid electric vehicles: Plug-in hybrid electric vehicles also contain an internal combustion engine and an electric motor, but they can be charged from an external power source, allowing the electric motor to run independently for a certain distance in pure electric mode. Pure electric vehicles: Pure electric vehicles rely entirely on electric motors for power. They do not have internal combustion engines. These electric motors are usually powered by on-board battery packs, which can be charged from an external power source. Fuel cell vehicles: Fuel cell vehicles also rely on electric motors to drive, but they use fuel cells to generate electricity instead of battery packs. Fuel cell vehicles usually have one electric motor and sometimes multiple electric motors. ;

[0040] Furthermore, the specific process of analyzing the vehicle safety situation according to the vehicle startup safety index is as follows: In the formula, It is represented as the a0th time the start button is pressed, γ1 and γ2 are the first threshold and the second threshold of the vehicle start safety index, and 0<γ1<γ2 is satisfied. It is expressed as the vehicle start safety index when the start button is pressed for the a0th time, A represents a safe situation, and B represents a dangerous situation; When the vehicle is in a safe state when the start button is pressed for the a0th time; when , it means the vehicle is in danger when the start button is pressed for the a0th time.

[0041] In this embodiment, and points The first threshold and the second threshold of the vehicle startup safety index are respectively

[0042] Furthermore, the specific process of obtaining the recognition result data based on the facial data of the person to be driven is: turn on the lights after detecting that the person to be driven presses the start button; after the lights are turned on, the vehicle obtains the facial data of the person to be driven; and performs facial recognition on the obtained facial data of the person to be driven and the facial data of the authorized driver stored in the vehicle to obtain the recognition result data.

[0043] In this embodiment, the lights are turned on after detecting that the person to be driven presses the start button, and the vehicle obtains the facial data of the person to be driven after the lights are turned on. After turning on the lights, the brightness inside the vehicle is increased to avoid facial recognition in dim conditions, so that the acquired facial recognition data is more accurate.

[0044] Furthermore, the recognition result data is specifically manifested as follows: when the obtained recognition result data indicates that the person to be driven is an authorized driver, the vehicle is allowed to start; when the obtained recognition result data indicates that the person to be driven is not an authorized driver, the vehicle is prohibited from starting and the vehicle is kept in the off state.

[0045] In this embodiment, an authorized driver refers to a person who can open the vehicle through facial recognition. When a stranger wants to open the vehicle, the recognition result data indicates that the person to be driven is not an authorized driver. The vehicle is prohibited from starting and the vehicle is kept off. Strangers cannot open the vehicle, thereby improving vehicle safety.

[0046] Furthermore, the specific process of starting the vehicle and performing the control operation based on the vehicle safety situation and the identification result data, and performing the corresponding alarm reminder operation is as follows: when the start button is pressed for the a0th time and the vehicle is in a safe situation and the identification result data indicates that the vehicle is allowed to start, the vehicle is reminded to be safe and can be used normally, and the vehicle starts; when the start button is pressed for the a0th time and the vehicle is in a dangerous situation, an alarm is triggered to remind the vehicle to be in danger, please stop using it and pay attention to maintenance, and the vehicle will not start.

[0047] In this embodiment, when the vehicle is started, it is also necessary to determine whether the driving environment is safe. If the vehicle is driven in an unsafe driving environment, danger is likely to occur. Therefore, the vehicle is allowed to start only when the vehicle is in a safe condition and the person to be driven is an authorized driver. In other cases, the vehicle will not start.

[0048] like Figure 4As shown, it is a structural schematic diagram of the face recognition system for starting a vehicle provided in an embodiment of the present application. The face recognition system for starting a vehicle provided in an embodiment of the present application includes: a data acquisition module: used to obtain vehicle monitoring parameter data and face data of the person to be driven; an index calculation module: used to obtain a vehicle starting safety index based on the vehicle monitoring parameter data; a safety analysis module: used to analyze the vehicle safety situation based on the vehicle starting safety index; an identification module: used to obtain identification result data based on the face data of the person to be driven; a starting control module: used to perform vehicle starting control operations in combination with the vehicle safety situation and the identification result data, and perform corresponding alarm reminder operations.

[0049] The technical scheme in the above-mentioned embodiment of the present application has at least the following technical effects or advantages: relative to a scheduling sharing system based on the Internet of Vehicles announced by the invention patent with announcement number: CN113393137B, the embodiment of the present application obtains vehicle monitoring parameter data such as harmful gas hazard data and temperature impact safety degree data in the vehicle, calculates the vehicle monitoring parameter data to obtain monitoring index data such as harmful gas hazard index and temperature impact safety degree index in the vehicle, analyzes the monitoring index data to obtain the vehicle startup safety index, and thus analyzes the vehicle safety situation according to the vehicle startup safety index, thereby realizing whether the environment in which the vehicle is located is safe; relative to the automatic advertising delivery method and system based on face recognition announced by the invention patent with announcement number: CN113724005B, the embodiment of the present application obtains the face data of the person to be driven, obtains the recognition result data according to the face data of the person to be driven, thereby judging whether the vehicle is started according to the recognition result data, thereby realizing a safer vehicle startup judgment.

[0050] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0051] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0052] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0053] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0054] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0055] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A face recognition method for vehicle startup, It is characterized in that The following steps are involved: Obtain vehicle monitoring parameter data and facial data of the person to be driven; Obtaining a vehicle start safety index based on vehicle monitoring parameter data; Analyze vehicle safety status based on vehicle startup safety index; Obtain recognition result data according to the facial data of the person to be driven; The vehicle is started and controlled based on the vehicle safety situation and the identification result data, and corresponding alarm reminder operations are performed.

2. The vehicle start-up face recognition method as claimed in claim 1, It is characterized in that The specific process of obtaining the vehicle startup safety index according to the vehicle monitoring parameter data is as follows: Acquiring vehicle monitoring parameter data, wherein the vehicle monitoring parameter data includes hazardous data of harmful gases in the vehicle and data on safety degree of temperature impact; Analyzing the vehicle monitoring parameter data to obtain monitoring index data, the monitoring index data includes a hazardous gas risk index in the vehicle and a temperature impact safety index, the hazardous gas risk index in the vehicle represents data evaluating the impact of the hazardous gas in the vehicle on the safety of the driver, and the temperature impact safety index represents data evaluating the impact of the vehicle-related temperature on the safety of the driver; The monitoring index data is analyzed to obtain a vehicle startup safety index, which represents data for evaluating the degree of impact of harmful gases and vehicle temperature in the vehicle before the vehicle is started on the safety of the driver.

3. The vehicle start-up face recognition method as claimed in claim 2, It is characterized in that The hazardous data of harmful gases in the vehicle include: toluene concentration data, maximum toluene concentration data that the human body can safely withstand, formaldehyde concentration data, maximum formaldehyde concentration data that the human body can safely withstand, carbon monoxide concentration data, maximum carbon monoxide concentration data that the human body can safely withstand, benzene concentration data, and maximum benzene concentration data that the human body can safely withstand; The temperature impact safety degree data includes: vehicle interior space temperature data, vehicle environment temperature data, internal combustion engine surface temperature data and electric motor surface temperature data.

4. The vehicle start-up face recognition method as claimed in claim 3, It is characterized in that The steps for obtaining the vehicle startup safety index are as follows: Get the number of times the start key is pressed and number the number of times the start key is pressed; Construct a calculation formula for vehicle starting safety index; The specific vehicle starting safety index calculation formula is: In the formula, Represented as a 0 The vehicle start safety index when the start button is pressed for the first time, a 0 =1,2,...,a, where a represents the total number of times the start key is pressed. Represented as a 0 The hazardous index of harmful gases in the car when the start button is pressed for the first time. Represented as a 0 The temperature impact safety index when the start button is pressed for the first time, m1 and m2 respectively represent the weight ratio of the harmful gas hazard index in the car and the temperature impact safety index in the vehicle starting safety index.

5. The vehicle start-up face recognition method as claimed in claim 4, It is characterized in that The steps for obtaining the hazardous gas risk index in the vehicle are as follows: Perform multiple data acquisitions at each startup, and number the data acquisition times; Construct a calculation formula for the hazardous gas risk index in the car; The specific calculation formula for the hazardous gas risk index in the car is: In the formula, Represented as a 0 The hazardous index of harmful gases in the car when the start button is pressed for the first time. Represented as a 0 Press the start button for the first time 0 Toluene concentration data at the time of data acquisition, i 0 =1,2,...,i, i represents the total number of data acquisitions, W represents the maximum value of toluene concentration that the human body can safely withstand, Represented as a 0 Press the start button for the first time 0 The formaldehyde concentration data at the time of data acquisition, S represents the maximum formaldehyde concentration that the human body can safely withstand, Represented as a 0 Press the start button for the first time 0 The carbon monoxide concentration data at the time of data acquisition, X represents the maximum carbon monoxide concentration that the human body can safely withstand, Represented as a 0 Press the start button for the first time 0 The benzene concentration data when the data is acquired, Q represents the maximum benzene concentration data that the human body can safely withstand, h1, h2, h3 and h4 represent the weight proportions of toluene concentration data, formaldehyde concentration data, carbon monoxide concentration data and benzene concentration data in the in-vehicle harmful gas hazard index respectively, and h0 represents the vehicle monitoring parameter data error of the in-vehicle harmful gas hazard index.

6. The vehicle start-up face recognition method as claimed in claim 4, It is characterized in that The specific process of analyzing the vehicle safety situation according to the vehicle startup safety index is as follows: In the formula, Represented as a 0 In the case of pressing the start button for the second time, γ1 and γ2 are the first threshold and the second threshold of the vehicle start safety index respectively, and 0<γ1<γ2 is satisfied. Represented as a 0 The vehicle start safety index when the start button is pressed for the first time, A indicates a safe situation, and B indicates a dangerous situation; when When the vehicle is in a 0 The first time you press the start button, it is in a safe state; when When the vehicle is in a 0 Pressing the start button for the first time is dangerous.

7. The vehicle start-up face recognition method as claimed in claim 1, It is characterized in that The specific process of obtaining the recognition result data according to the face data of the driver to be driven is as follows: After detecting that the driver presses the start button, the light is turned on; After the lights are turned on, the vehicle obtains the facial data of the person waiting to drive; The acquired facial data of the person to be driven is used for facial recognition with the facial data of the authorized driver stored in the vehicle to obtain recognition result data.

8. The vehicle start-up face recognition method as claimed in claim 7, It is characterized in that The identification result data is specifically manifested as: When the obtained identification result data indicates that the person to be driven is an authorized driver, the vehicle is allowed to start; When the obtained identification result data indicates that the person to be driven is not an authorized driver, the vehicle is prohibited from starting and remains in a vehicle-off state.

9. The vehicle start-up face recognition method as claimed in claim 8, It is characterized in that The specific process of combining the vehicle safety situation and the identification result data to start the vehicle and perform the corresponding alarm reminder operation is as follows: When the 0 When the vehicle is in a safe condition and the identification result data indicates that the vehicle is allowed to start, the user is reminded that the vehicle is safe and can be used normally, and the vehicle starts; When the 0 When you press the start button for the first time and the vehicle is in a dangerous situation, an alarm will sound to remind you that the vehicle is in danger and you should stop using it and pay attention to maintenance. The vehicle will not start.

10. A face recognition system for vehicle startup, It is characterized in that The vehicle start-up facial recognition system comprises: Data acquisition module: used to obtain vehicle monitoring parameter data and facial data of the driver to be driven; Index calculation module: used to obtain the vehicle start safety index based on vehicle monitoring parameter data; Safety analysis module: used to analyze vehicle safety status based on vehicle startup safety index; Recognition module: used to obtain recognition result data based on the facial data of the driver; Startup control module: used to perform startup control operations on the vehicle based on the vehicle safety status and identification result data, and perform corresponding alarm reminder operations.

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