WO2018148897A1 - 一种驾驶员身份识别方法及装置 - Google Patents

一种驾驶员身份识别方法及装置 Download PDF

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Publication number
WO2018148897A1
WO2018148897A1 PCT/CN2017/073763 CN2017073763W WO2018148897A1 WO 2018148897 A1 WO2018148897 A1 WO 2018148897A1 CN 2017073763 W CN2017073763 W CN 2017073763W WO 2018148897 A1 WO2018148897 A1 WO 2018148897A1
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WIPO (PCT)
Prior art keywords
light intensity
ambient light
condition
cloud server
driver identification
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PCT/CN2017/073763
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English (en)
French (fr)
Inventor
黄凯明
刘文涛
Original Assignee
深圳市锐明技术股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by 深圳市锐明技术股份有限公司 filed Critical 深圳市锐明技术股份有限公司
Priority to CN201780000057.3A priority Critical patent/CN107004128A/zh
Priority to PCT/CN2017/073763 priority patent/WO2018148897A1/zh
Publication of WO2018148897A1 publication Critical patent/WO2018148897A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/59Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/59Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • G06V20/597Recognising the driver's state or behaviour, e.g. attention or drowsiness

Definitions

  • the present invention belongs to the field of identity recognition technologies, and in particular, to a driver identification method and apparatus.
  • driver identification devices With the increasing popularity of automotive electronic information technology, more and more in-vehicle devices, such as driver identification devices, can detect audible and visual alarms and even cut off vehicle power when it is detected that the driver is an illegal driver.
  • the existing driver identification device mainly adopts an active recognition mode, that is, the driver actively inputs information to identify, for example, inputting a fingerprint, scanning a retina, inputting a password, and the like.
  • the existing active recognition method needs to change the driver's driving habits to increase the driver's initiative to input information, and can not accurately identify whether it is a legitimate driver, for example, others can illegally drive after obtaining a password.
  • the present invention provides a driver identification method and apparatus for improving the accuracy of recognition without changing the driver's driving habits.
  • a first aspect of the present invention provides a method for driver identification, the method comprising:
  • the photographed photo is sent to a cloud server for driver identification.
  • a second aspect of the present invention provides a driver identification device, the device comprising:
  • a vehicle terminal foreground a camera device, a processing module, and a wireless transmission module
  • the vehicle-mounted terminal foreground is configured to send a startup instruction to the camera after receiving the driver identification information
  • the image capturing device is configured to: after receiving the start command, activate the image capturing device, and detect the current ambient light intensity, when the detected ambient light intensity does not meet the preset first condition,
  • the processing module sends a processing instruction
  • the processing module is configured to process the ambient light intensity after receiving the processing instruction, so that the processed ambient light intensity meets the first condition
  • the image capturing device is further configured to take a photo after the ambient light intensity meets the first condition;
  • the wireless transmission module is configured to send the captured photo to a cloud server for driving Identification.
  • the present invention has the beneficial effects compared with the prior art: the invention starts the camera device after receiving the driver identification information; detects the current ambient light intensity by the camera device after the startup, when detecting The ambient light intensity does not conform to a preset first condition, and the ambient light intensity is processed by the processing module such that the processed ambient light intensity conforms to the first condition; After the intensity meets the first condition, the photograph is taken by the camera device; the photographed photograph is sent to a cloud server for driver identification. Thereby, the accuracy of recognition can be improved without changing the driving habits of the driver.
  • the present invention can utilize the monitoring system in the existing vehicle to collect driver photos without additional hardware cost of the camera. Moreover, the invention has the advantages of convenient operation, simple implementation, wide adaptability, and strong usability and practicability.
  • 1 is a schematic flow chart of a driver identification method according to a first embodiment of the present invention
  • 2 is a schematic flow chart of a driver identification method according to a second embodiment of the present invention
  • FIG. 3 is a schematic block diagram of a driver identity recognition apparatus according to a third embodiment of the present invention.
  • FIG. 4 is a schematic block diagram of a vehicle-mounted terminal according to a fourth embodiment of the present invention.
  • the term “if” can be interpreted as “when" or “once” or “in response to determining” or “in response to detecting” depending on the context. ". Similarly, the phrase “if determined” or “if detected [condition or event described]” may be interpreted in context to mean “once determined” or “in response to determining” or “once detected [condition or event described] ] “OR” in response to detecting [described condition or event].
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • FIG. 1 is a schematic flowchart of a method for identifying a driver's identity according to Embodiment 1 of the present invention. As shown in the figure, the method may include the following steps: [0032] Step S101, after receiving the driver identification information, start the imaging device.
  • the driver identification information may be an instruction issued by the user to activate the driver identification, or may be information for starting the driver identification triggered according to the preset time interval.
  • the command issued by the user to initiate the driver identification may be issued by the user by touching a button on the vehicle terminal.
  • the information for initiating the driver identification triggered according to the preset inter-turn interval may identify the driver's identity according to a predetermined inter-turn interval during the driving of the vehicle, and ensure that the driver's identity of the vehicle can be monitored during the driving of the vehicle.
  • the driver identification information may also be an operation of the driver slamming the door into the cab, that is, after the door is detected to be snoring and closed; or after detecting that the driver is wearing the seat belt, preventing the driver from being successfully identified, Replace the driver to continue driving the vehicle. It should be noted that the driver identification information is not limited to the instructions, actions or information listed above.
  • Step S102 The current ambient light intensity is detected by the image capturing device after the startup, and when the detected ambient light intensity does not meet the preset first condition, the ambient light intensity is processed by the processing module. So that the ambient light intensity after the treatment conforms to the first condition.
  • the camera device detects that the current ambient light intensity can detect the current ambient light intensity through a light sensor that is provided by the camera device itself, and can also be illuminated in advance by the pre-flash of the camera device.
  • the flash photometer in the camera detects the current ambient light intensity based on the effect of this pre-flash.
  • the ambient light intensity is processed by the processing module, and the processing light for processing the ambient light intensity by the processing module may be an auxiliary fill light device Fill the environment with light.
  • the light emitted by the auxiliary light-filling device may be visible light or invisible light.
  • the auxiliary light-filling device can perform different fill-in operations by the detected current ambient light intensity, and finally make the current ambient light intensity conform to the first condition.
  • the preset first condition refers to a value of the ambient light intensity set in advance.
  • Step S103 After the ambient light intensity meets the first condition, the photo is taken by the camera.
  • the camera device takes a photo.
  • the camera device may be attached to or attached to a central rear view mirror mount within the vehicle.
  • the camera will be fixed in front of the driver, but installing it in front of the driver will increase the driver's discomfort and may interfere with the driver's normal driving.
  • the monitoring system is usually located near the central rearview mirror. In the embodiment of the present invention, the driver's photograph can be taken by using the existing monitoring system without additional hardware cost of the camera.
  • the location near the center rearview mirror allows the driver to capture a clear picture of the driver's face when viewing the inside and outside of the vehicle through the center rearview mirror.
  • the processing module can be attached to the central rear view mirror mount in the vehicle or attached to the central rear view mirror together with the camera. It can also be attached to the central rear view mirror holder in the vehicle or attached to the central rear view mirror, respectively. It should be noted that the imaging device and the processing module are not limited to being fixed on the central rear view mirror bracket in the vehicle or attached to the central rear view mirror.
  • Step S104 Send the captured photo to a cloud server for driver identification.
  • the photograph taken is usually a driver's face photo
  • the driver's face photo is sent to the cloud server for driver identification, and on the one hand, driving that must authorize the vehicle certification is avoided.
  • the photo of the person's face must be stored in the vehicle's vehicle terminal.
  • it is convenient for the vehicle to have more background management of the driver. Simply store the driver's photo on the cloud server, when the driver of the vehicle needs to replace it, no need to store the new driver's photo in the vehicle's in-vehicle device, just tie the vehicle to the new driver's photo on the cloud server Just fine. In the fleet management, it is convenient and responsive to personnel changes, and it is easier to ensure information security.
  • the photo may be filtered to compare the photo that meets the identification requirement with the driver's photo stored in the cloud server.
  • the camera device after receiving the driver identification information, the camera device is activated; the current ambient light intensity is detected by the camera device after the startup, and the detected ambient light intensity does not meet the preset state.
  • a first condition the ambient light intensity is processed by the processing module, so that the processed ambient light intensity meets the first condition; after the ambient light intensity meets the first condition, The camera captures a photo; the captured photo is sent to a cloud server for driver identification.
  • Embodiment 2 is a diagrammatic representation of Embodiment 1
  • FIG. 2 is a schematic flowchart of a driver identification method according to Embodiment 2 of the present invention. The method can include the following steps as shown:
  • Step S201 After receiving the driver identification information, start the imaging device.
  • Step S202 The current ambient light intensity is detected by the image capturing device after the startup, and when the detected ambient light intensity does not meet the preset first condition, the ambient light intensity is processed by the processing module. So that the ambient light intensity after the treatment conforms to the first condition.
  • Step S203 After the ambient light intensity meets the first condition, the photo is taken by the camera.
  • the step S201 is the same as the step S101
  • the step S202 is the same as the step 102
  • the step S203 is the same as the step S103.
  • step S101, step S102, and step S103 Narration.
  • Step S204 Detect whether the photographed photo meets a preset second condition.
  • the photograph taken includes all facial features or a predetermined proportion of facial features.
  • the predetermined ratio refers to a ratio that does not affect the face recognition detection.
  • the facial features include both eyes and the nose, or the facial features include both eyes and the mouth. Since the driver's face photo that needs to be collected on the scene after the driver identification is performed is compared with the pre-stored authorized driver's photo to confirm whether the driver is an authorized driver of the vehicle, it is necessary to shoot on the spot. The photo is detected to determine whether the photograph taken contains all of the facial features or a predetermined proportion of facial features.
  • the second condition of the preset is also different.
  • the second preset condition is clear and complete, and the cloud is clear and complete.
  • Server-side face recognition requires only two eyes and a nose to be identified in the photo, and the second condition of the preset is that the photo includes both eyes and a nose.
  • the camera is continuously triggered to take a photo until the photo meets the preset second condition;
  • the photo that meets the second preset condition is sent to the cloud server.
  • the camera is continuously triggered to take a photo, and the photographing is continued to detect whether the photograph meets the preset second condition, when detecting Shoot If the taken photo meets the second preset condition, the photo that meets the second preset condition is sent to the cloud server.
  • Step S205 Send the captured photo including all facial features or a predetermined proportion of facial features to the cloud server.
  • the preset second condition is that all facial features or a predetermined proportion of facial features are included, all facial features or predetermined proportions of facial features to be captured are to be captured.
  • the photos are sent wirelessly to the cloud server.
  • the photo taken at the scene of the cab is relatively high, and the probability of the front face of the captured driver is low. If all the captured photos are sent to the cloud server for comparison, the network traffic is wasted, even if In the embodiment of the present invention, the photos taken by the camera are first filtered and then matched with the presets.
  • the photo of the second condition is sent to the cloud server for driver identification.
  • Step S206 Receive information of the driver identification result fed back by the cloud server, and perform corresponding operations on the vehicle according to the information of the driver identification result.
  • the cloud server after the cloud server receives the photo that meets the second preset condition, the cloud server performs a comparison identification according to the photo to identify whether the current driver's identity in the cab is pre-authorized.
  • the driver in the fleet management, the relevant personnel on the cloud server side can perform corresponding operations, and can also feedback the driver identification result back to the cab.
  • the vehicle After receiving the information of the driver identification result fed back by the cloud server, the vehicle is correspondingly operated according to the driver identification result. If the driver identification result is the driver pre-authorized by the vehicle, no operation may be performed. If the driver identification result is not the driver pre-authorized by the vehicle, an alarm is issued or the braking device of the vehicle is cut off, and The positioning information of the vehicle is sent to the cloud server.
  • FIG. 3 is a schematic block diagram of a driver identity recognition apparatus according to Embodiment 3 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown.
  • the driver identification device may be a software unit, a hardware unit or a combination of hardware and software built in a terminal device (for example, an in-vehicle terminal, a mobile phone), or may be integrated into the terminal device as a separate pendant.
  • the driver identification device includes:
  • the vehicle terminal foreground 31 the camera device 32, the processing module 33, and the wireless transmission module 34,
  • the in-vehicle terminal foreground 31 is configured to send a startup instruction to the camera device 32 after receiving the driver identification information;
  • the camera device 32 is configured to: after receiving the start command, activate the camera device 32, and detect the current ambient light intensity, when the detected ambient light intensity does not meet the preset first condition. Sending a processing instruction to the processing module 33;
  • the processing module 33 is configured to process the ambient light intensity after receiving the processing instruction
  • the image capturing device 32 is further configured to take a photo after the ambient light intensity meets the first condition; [0066] the wireless transmission module 34 is configured to send the captured photo to a cloud server Conduct driver identification.
  • the in-vehicle terminal foreground 31, the camera device 32, the processing module 33, and the wireless transmission module 34 may be integrated into one terminal device; or may be separately used as independent devices, and the independent devices pass each other. Data can be transmitted wirelessly or in a wired manner; one or more of them can be integrated.
  • the image pickup device 32 may be a mobile terminal or the like having an image pickup function.
  • the camera device 32 and the processing module 33 are respectively fixed on a central rearview mirror bracket in the vehicle or attached to the central rearview mirror.
  • the device further includes:
  • the detecting module 35 is configured to detect whether the photographed photo meets a preset second condition before sending the photographed photo to the cloud server.
  • the detection module 35 may be integrated in the camera device 32, may be integrated in the vehicle terminal foreground 31, or may exist as a separate device.
  • the detecting module 35 is specifically configured to:
  • the wireless transmission module 34 is further configured to:
  • a photograph of the photographed face features including all face features or a predetermined scale is transmitted to the cloud server.
  • the wireless transmission module 34 may be integrated in the camera device, and may also be integrated in the foreground of the vehicle terminal.
  • the device further includes:
  • a control module configured to receive information of a driver identification result fed back by the cloud server, and perform corresponding operations on the vehicle according to the information of the driver identification result.
  • each functional module described above may be assigned to different functional modules according to needs.
  • the device is completed, that is, the internal structure of the driver identification device is divided into different functional modules or devices to perform all or part of the functions described above.
  • Each functional module and device in the embodiment may be integrated into one processing unit, or each unit may exist physically separately, or two or more modules or devices may be integrated into one unit, and the integrated module or device is It can be implemented in the form of hardware or in the form of a software functional unit.
  • FIG. 4 is a schematic block diagram of an in-vehicle terminal according to Embodiment 4 of the present invention.
  • the in-vehicle terminal as shown may include: one or more processors 401 (only one shown in Figure 4); one or more input devices 402 (only one shown in Figure 4), one or more outputs Device 403 (only one is shown in FIG. 4), memory 404, and camera 405.
  • the processor 401, the input device 402, the output device 403, the memory 404, and the camera 405 are connected via a bus 406.
  • Memory 404 is used to store instructions, and processor 401 is used to execute instructions stored by memory 404. among them:
  • the processor 401 is configured to start the camera 405 after receiving the driver identification information through the input device 402.
  • the processor 401 is further configured to detect the current environment by using the camera 405 after the startup.
  • Light intensity when the detected ambient light intensity does not meet the preset first condition,
  • the block is configured to process the ambient light intensity such that the processed ambient light intensity meets the first condition;
  • the processor 401 is further configured to: after the ambient light intensity meets the first condition, pass
  • the camera 405 is configured to take a photo; the processor 401 is further configured to send the captured photo to the cloud server through the output device 403 for driver identification.
  • the camera device 405 and the processing module are respectively fixed on a central mirror bracket in the vehicle or attached to the central rearview mirror.
  • the processor 401 is further configured to detect whether the captured photo meets a preset second condition before sending the captured photo to the cloud server.
  • the processor 401 is further configured to detect whether the captured photo includes all facial features or a predetermined proportion of facial features; the processor 401 is further configured to include all of the captured images.
  • a photo of the face feature or a predetermined proportion of the face feature is sent to the cloud server via the output device 403.
  • the processor 401 is further configured to receive, by using the input device 402, information of the driver identification result fed back by the cloud server, and perform information on the vehicle by using the output device 403 according to the information of the driver identification result. The corresponding operation.
  • the memory 404 is configured to store software programs, modules, devices, and data information required in the vehicle-mounted terminal, and the processor 401 executes each of the software programs, modules, and units stored in the memory 404. Functional applications and data processing to improve the accuracy of recognition without changing driver driving habits.
  • the so-called processor 401 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (Digital Signal Processor) , DSP), Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc.
  • the general purpose processor may be a microprocessor or the processor or any conventional processor or the like.
  • the input device 402 may include a touchpad, a fingerprint acquisition sensor (for collecting fingerprint information of the user and direction information of the fingerprint), a microphone, a camera, a data collection device, a data receiving device, etc., and the output device 403 may include a display ( LCD, etc.), speakers, data transmitting devices, wireless transmission devices, etc.
  • the memory 404 can include read only memory and random access memory and provides instructions and data to the processor 401. A portion of memory 404 may also include non-volatile random access memory. For example, the memory 404 can also store information of the device type.
  • the camera device 405 can include components such as a lens module, an image sensor, and a flash.
  • the lens module is used to image the captured subject and map the resulting image to the image sensor.
  • the image sensor is used to receive light from the lens module to achieve sensitization to record image information.
  • the image sensor can be based on a complementary metal oxide semiconductor (Complementary Metal Oxide)
  • CMOS complementary metal-oxide-semiconductor
  • CCD Charge-coupled Device
  • the processor 401, the input device 402, the output device 403, and the memory 404 described in the embodiments of the present invention may be described in the embodiment of the driver identification method provided by the embodiment of the present invention.
  • the implementation manner described in Embodiment 3 of the driver identification device may also be implemented, and details are not described herein again.
  • the disclosed apparatus and method can be implemented in other ways.
  • the embodiments described above are merely illustrative.
  • the division of the modules or units is only a logical function division, and the actual implementation may have another division manner, for example, multiple units or components may be combined. Either can be integrated into another system, or some features can be ignored, or not executed.
  • the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in electrical, mechanical or other form.
  • the unit described as a separate component may or may not be physically distributed.
  • the component displayed as a unit may or may not be a physical unit, that is, may be located in one place, or may be located in one place. Distributed to multiple network elements. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • the medium includes a plurality of instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform all or part of the steps of the methods of the various embodiments of the embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (R 0M, Read-Only Memory), a random access memory (RAM), a magnetic disk or an optical disk, and the like, which can store program codes. medium.

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Abstract

一种驾驶员身份识别方法及装置,适用于身份识别技术领域。所述装置包括车载终端前台(31)、摄像装置(32)、处理模块(33)、无线传输模块(34)、检测模块(35)以及控制模块。所述方法包括:在接收到驾驶员身份识别信息后,启动摄像装置;通过启动后的摄像装置检测当前环境光强度,当检测到的环境光强度不符合预设的第一条件时,通过处理模块对环境光强度进行处理,以使得处理后的环境光强度符合第一条件;在环境光强度符合第一条件后,通过摄像装置拍摄照片;将拍摄的照片发送至云服务器进行驾驶员身份识别。该方法和装置可以在不改变驾驶员驾驶习惯的前提下提高识别准确率。

Description

一种驾驶员身份识别方法及装置 技术领域
[0001] 本发明属于身份识别技术领域, 尤其涉及一种驾驶员身份识别方法及装置。
背景技术
[0002] 随着汽车电子信息化技术的日益普及, 车载设备越来越多, 例如驾驶员身份识 别装置, 当探测到驾驶员是非法驾驶员, 可以发出声光报警甚至切断汽车动力 。 现有的驾驶员身份识别装置主要采用主动识别方式, 即通过驾驶员主动输入 信息来识别, 例如输入指纹、 扫描视网膜、 输入密码等。
[0003] 现有的主动识别方式需要改变驾驶员驾驶习惯来增加一个驾驶员主动输入信息 的动作, 而且无法准确的识别出是否为合法驾驶员, 例如他人在获取密码后可 以非法驾驶。
[0004] 故, 有必要提出一种新的技术方案, 以解决上述技术问题。
技术问题
[0005] 鉴于此, 本发明提供一种驾驶员身份识别方法及装置, 以在不改变驾驶员驾驶 习惯的前提下提高识别的准确率。
问题的解决方案
技术解决方案
[0006] 本发明的第一方面, 提供一种驾驶员身份识别的方法, 所述方法包括:
[0007] 在接收到驾驶员身份识别信息后, 启动摄像装置;
[0008] 通过启动后的所述摄像装置检测当前环境光强度, 当检测到的所述环境光强度 不符合预设的第一条件吋, 通过处理模块对所述环境光强度进行处理, 以使得 处理后的所述环境光强度符合所述第一条件;
[0009] 在所述环境光强度符合所述第一条件后, 通过所述摄像装置拍摄照片;
[0010] 将拍摄的所述照片发送至云服务器进行驾驶员身份识别。
[0011] 本发明的第二方面, 提供一种驾驶员身份识别装置, 所述装置包括:
[0012] 车载终端前台、 摄像装置、 处理模块以及无线传输模块, [0013] 所述车载终端前台, 用于在接收到驾驶员身份识别信息后, 向所述摄像装置发 送启动指令;
[0014] 所述摄像装置, 用于在接收到所述启动指令后, 启动摄像装置, 并检测当前环 境光强度, 当检测到的所述环境光强度不符合预设的第一条件吋, 向所述处理 模块发送处理指令;
[0015] 所述处理模块, 用于在接收到所述处理指令后, 对所述环境光强度进行处理, 以使得处理后的所述环境光强度符合所述第一条件;
[0016] 所述摄像装置, 还用于在所述环境光强度符合所述第一条件后拍摄照片; [0017] 所述无线传输模块, 用于将拍摄的所述照片发送至云服务器进行驾驶员身份识 别。
发明的有益效果
有益效果
[0018] 本发明与现有技术相比存在的有益效果是: 本发明在接收到驾驶员身份识别信 息后, 启动摄像装置; 通过启动后的所述摄像装置检测当前环境光强度, 当检 测到的所述环境光强度不符合预设的第一条件吋, 通过处理模块对所述环境光 强度进行处理, 以使得处理后的所述环境光强度符合所述第一条件; 在所述环 境光强度符合所述第一条件后, 通过所述摄像装置拍摄照片; 将拍摄的所述照 片发送至云服务器进行驾驶员身份识别。 从而可以在不改变驾驶员驾驶习惯的 前提下提高识别的准确率。 本发明可以利用现有车辆内的监控系统采集驾驶员 照片, 无需额外的增加摄像头的硬件成本。 而且, 本发明操作方便、 实现简单 , 适应面广, 具有较强的易用性和实用性。
对附图的简要说明
附图说明
[0019] 为了更清楚地说明本发明实施例中的技术方案, 下面将对实施例或现有技术描 述中所需要使用的附图作简单地介绍, 显而易见地, 下面描述中的附图仅仅是 本发明的一些实施例, 对于本领域普通技术人员来讲, 在不付出创造性劳动性 的前提下, 还可以根据这些附图获得其他的附图。
[0020] 图 1是本发明第一实施例提供的一种驾驶员身份识别方法的示意流程图; [0021] 图 2是本发明第二实施例提供的一种驾驶员身份识别方法的示意流程图;
[0022] 图 3是本发明第三实施例提供的一种驾驶员身份识别装置的示意框图;
[0023] 图 4是本发明第四实施例提供的一种车载终端的示意框图;
本发明的实施方式
[0024] 下面将结合本发明实施例中的附图, 对本发明实施例中的技术方案进行清楚、 完整地描述, 显然, 所描述的实施例是本发明一部分实施例, 而不是全部的实 施例。 基于本发明中的实施例, 本领域普通技术人员在没有做出创造性劳动前 提下所获得的所有其他实施例, 都属于本发明保护的范围。
[0025] 应当理解, 当在本说明书和所附权利要求书中使用吋, 术语"包括"指示所描述 特征、 整体、 步骤、 操作、 元素和 /或组件的存在, 但并不排除一个或多个其它 特征、 整体、 步骤、 操作、 元素、 组件和 /或其集合的存在或添加。
[0026] 还应当理解, 在此本发明说明书中所使用的术语仅仅是出于描述特定实施例的 目的而并不意在限制本发明。 如在本发明说明书和所附权利要求书中所使用的 那样, 除非上下文清楚地指明其它情况, 否则单数形式的"一"、 "一个 "及"该"意 在包括复数形式。
[0027] 还应当进一步理解, 在本发明说明书和所附权利要求书中使用的术语 "和 /或"是 指相关联列出的项中的一个或多个的任何组合以及所有可能组合, 并且包括这 些组合。
[0028] 如在本说明书和所附权利要求书中所使用的那样, 术语"如果"可以依据上下文 被解释为 "当…吋 "或"一旦"或"响应于确定"或"响应于检测到"。 类似地, 短语"如 果确定 "或"如果检测到 [所描述条件或事件]"可以依据上下文被解释为意指"一旦 确定"或"响应于确定"或"一旦检测到 [所描述条件或事件]"或"响应于检测到 [所描 述条件或事件]"。
[0029] 为了说明本发明所述的技术方案, 下面通过具体实施例来进行说明。
[0030] 实施例一:
[0031] 参见图 1, 图 1是本发明实施例一提供的一种驾驶员身份识别的方法的示意流程 图, 如图所示该方法可以包括以下步骤: [0032] 步骤 S101, 在接收到驾驶员身份识别信息后, 启动摄像装置。
[0033] 在本发明实施例中, 驾驶员身份识别信息可以是用户发出的启动驾驶员身份识 别的指令, 也可以是根据预设的吋间间隔触发的启动驾驶员身份识别的信息。 所述用户发出的启动驾驶员身份识别的指令可以是用户通过触摸车载终端上的 某个按键发出的。 所述根据预设吋间间隔触发的启动驾驶员身份识别的信息可 以在车辆驾驶过程中按照预定吋间间隔对驾驶员的身份进行识别, 保证车辆驾 驶过程中, 可以监控车辆的驾驶员身份。 所述驾驶员身份识别信息还可以是驾 驶员打幵车门进入驾驶室的操作, 即检测到车门打幵并且关闭之后; 或者检测 到驾驶员系上安全带之后, 防止驾驶员身份识别成功后, 更换驾驶员继续驾驶 该车辆。 需要说明的是, 驾驶员身份识别信息并不局限与以上列出的指令、 动 作或者信息。
[0034] 步骤 S102, 通过启动后的所述摄像装置检测当前环境光强度, 当检测到的所述 环境光强度不符合预设的第一条件吋, 通过处理模块对所述环境光强度进行处 理, 以使得处理后的所述环境光强度符合所述第一条件。
[0035] 在本发明实施例中, 所述摄像装置检测当前环境光强度可以通过摄像装置本身 自带的光线感应器检测当前环境光强度, 还可以通过摄像装置的预闪来事先照 亮所需拍摄环境, 摄像装置内的闪光测光器会根据这个预闪照亮的效果检测出 当前环境光强度。 当检测到的所述环境光强度不符合预设的第一条件吋, 通过 处理模块对所述环境光强度进行处理, 所述通过处理模块对环境光强度进行处 理可以是通过辅助的补光设备对环境进行补光。 所述辅助补光设备发出的光可 以是可见光也可以是不可见光。 所述辅助补光设备可以通过检测到的当前环境 光强度进行不同大小的补光操作, 最终使得当前环境光强度符合所述第一条件 。 所述预设的第一条件是指提前设置的环境光强度的数值。
[0036] 步骤 S 103, 在所述环境光强度符合所述第一条件后, 通过所述摄像装置拍摄照 片。
[0037] 在本发明实施例中, 当摄像装置检测到当前环境光强度符合所述第一条件后, 所述摄像装置拍摄照片。 所述摄像装置可以固定在车辆内的中央后视镜支架上 或者附着在所述中央后视镜上。 为了保证所述摄像装置能够拍摄到清晰的驾驶 员照片, 通常将摄像装置会固定在驾驶员的正前方, 但是安装在驾驶员正前方 一方面会增加驾驶员的不适感, 有可能会对驾驶员的正常驾驶形成干扰; 另一 方面, 现有的车辆内的监控系统通常位于中央后视镜附近的位置, 本发明实施 例可以利用现有的监控系统拍摄驾驶员照片, 无需额外的增加摄像头的硬件成 本。 另外, 安装在中央后视镜附近位置可以利用驾驶员通过中央后视镜观察车 内外情况的吋候采集到驾驶员清晰的人脸照片。 为了取得更好的拍摄效果, 所 述处理模块可以与摄像装置一起固定在车辆内的中央后视镜支架上或者附着在 所述中央后视镜上。 也可以与摄像装置分别固定在车辆内的中央后视镜支架上 或者附着在所述中央后视镜上。 需要说明的是, 所述拍摄装置和处理模块并不 局限于固定在车辆内中央后视镜支架上或者附着在所述中央后视镜上。
[0038] 步骤 S104, 将拍摄的所述照片发送至云服务器进行驾驶员身份识别。
[0039] 在本发明实施例中, 所拍摄的照片通常是驾驶员人脸照片, 将驾驶员的人脸照 片发送至云服务器进行驾驶员身份识别, 一方面避免必须将该车辆认证授权的 驾驶员人脸照片必须存储在该车辆的车载终端内, 另一方面, 方便车辆较多吋 驾驶员的后台管理。 只需将驾驶员的照片存储在云服务器, 当车辆的驾驶员需 要更换吋无需将新的驾驶员照片存储在该车辆的车载设备内, 只需在云服务器 将该车辆与新驾驶员照片绑定即可。 这样在车队管理中, 方便及吋响应人事变 动, 并且更容易保证信息安全。 将拍摄的所述照片发送至云服务器后, 在云服 务器器端, 可以先将所述照片进行筛选, 将符合识别要求的照片与云服务器内 存储的驾驶员照片进行比对识别。
[0040] 本发明实施例可以在接收到驾驶员身份识别信息后, 启动摄像装置; 通过启动 后的所述摄像装置检测当前环境光强度, 当检测到的所述环境光强度不符合预 设的第一条件吋, 通过处理模块对所述环境光强度进行处理, 以使得处理后的 所述环境光强度符合所述第一条件; 在所述环境光强度符合所述第一条件后, 通过所述摄像装置拍摄照片; 将拍摄的所述照片发送至云服务器进行驾驶员身 份识别。 从而可以在不改变驾驶员驾驶习惯的前提下提高识别的准确率。
[0041] 实施例二:
[0042] 参见图 2, 图 2是本发明实施例二提供的一种驾驶员身份识别方法的示意流程图 , 如图所示该方法可以包括以下步骤:
[0043] 步骤 S201 , 在接收到驾驶员身份识别信息后, 启动摄像装置。
[0044] 步骤 S202, 通过启动后的所述摄像装置检测当前环境光强度, 当检测到的所述 环境光强度不符合预设的第一条件吋, 通过处理模块对所述环境光强度进行处 理, 以使得处理后的所述环境光强度符合所述第一条件。
[0045] 步骤 S203 , 在所述环境光强度符合所述第一条件后, 通过所述摄像装置拍摄照 片。
[0046] 在本发明实施例中, 步骤 S201与步骤 S101相同, 步骤 S202与步骤 102相同, 步 骤 S203与步骤 S103相同, 具体可参见步骤 S101、 步骤 S102、 步骤 S103的相关描 述, 在此不再赘述。
[0047] 步骤 S204, 检测拍摄的所述照片是否符合预设的第二条件。
[0048] 在本发明实施例中, 检测拍摄的所述照片是否符合预设的第二条件为检测拍摄 的所述照片是否包含全部的人脸特征或者预定比例的人脸特征。 所述预定比例 是指不影响人脸识别检测的比例, 例如, 五官中包含双眼和鼻子即可, 或者五 官中包含双眼和嘴巴即可。 因为在进行驾驶员身份识别吋需要现场采集的驾驶 员人脸照片与预先存储的授权驾驶员的照片进行比对识别来确认驾驶员是否为 授权的该车辆的驾驶员, 所以需要对现场拍摄的照片进行检测, 以判断拍摄的 照片是否包含全部的人脸特征或者预定比例的人脸特征。 根据云服务器的人脸 识别要求的不同, 预设的第二条件也不同, 例如, 当云服务器端人脸检测识别 必须五官清晰完整吋, 所述第二预设条件为五官清晰完整, 当云服务器端人脸 识别只需照片中包含双眼和鼻子即可进行身份识别吋, 所述预设的第二条件为 所述照片包含双眼和鼻子。
[0049] 可选的, 若拍摄的所述照片不符合第二预设条件, 则继续触发摄像装置拍摄照 片, 直到所述照片符合预设的第二条件;
[0050] 若拍摄的所述照片符合第二预设条件, 则将符合第二预设条件的照片发送至所 述云服务器。
[0051] 在本发明实施例中, 若拍摄的照片不符合第二预设条件, 则继续触发摄像装置 拍摄照片, 继续检测拍摄的而所述照片是否符合预设的第二条件, 当检测到拍 摄的照片符合第二预设条件吋, 则将符合第二预设条件的照片发送至所述云服 务器。
[0052] 步骤 S205 , 将拍摄的包含全部的人脸特征或者预定比例的人脸特征的照片发送 至所述云服务器。
[0053] 在本发明实施例中, 若所述预设的第二条件为包含全部的人脸特征或者预定比 例的人脸特征, 则将拍摄的包含全部人脸特征或者预定比例的人脸特征的照片 通过无线的方式发送至云服务器。 实际中, 在驾驶室现场拍摄的照片废片率比 较高, 抓拍的驾驶员正面脸部的概率较低, 如果将所有拍摄的照片发送至云服 务器进行比对识别, 造成网络流量的浪费, 即使在云服务器端先筛选出符合第 二条件的照片再进行比对识别仍然无法避免网络流量的浪费, 因此在本发明实 施例中, 先将拍摄装置拍摄的照片筛选后, 再将符合预设的第二条件的照片发 送至云服务器进行驾驶员身份识别。
[0054] 步骤 S206 , 接收云服务器反馈的驾驶员身份识别结果的信息, 并根据所述驾驶 员身份识别结果的信息对车辆进行相应的操作。
[0055] 在本发明实施例中, 当云服务器接收到符合第二预设条件的照片后, 会根据所 述照片进行比对识别, 用以识别驾驶室内当前的驾驶员的身份是否为预授权的 驾驶员, 在车队管理中, 云服务器端相关人员可进行相应的操作, 也可以将驾 驶员身份识别结果反馈回驾驶室。 当接收到云服务器反馈的驾驶员身份识别结 果的信息后, 根据所述驾驶员身份识别结果对车辆进行相应的操作。 若驾驶员 身份识别结果是该车辆预授权的驾驶员, 可以不进行任何操作, 若驾驶员身份 识别结果不是该车辆预授权的驾驶员, 则发出警报或者切断车辆的制动装置, 还可以将该车辆的定位信息发送至云服务器端。
[0056] 应理解, 在上述实施例一和二中, 各步骤的序号的大小并不意味着执行顺序的 先后, 各步骤的执行顺序应以其功能和内在逻辑确定, 而不应对本发明实施例 的实施过程构成任何限定。
[0057] 实施例三:
[0058] 参见图 3, 图 3是本发明实施例三提供的一种驾驶员身份识别装置的示意框图, 为了便于说明, 仅示出与本发明实施例相关的部分。 [0059] 该驾驶员身份识别装置可以是内置于终端设备 (例如车载终端、 手机) 内的软 件单元、 硬件单元或者软硬结合的单元, 也可以作为独立的挂件集成到所述终 端设备中。
[0060] 所述驾驶员身份识别装置包括:
[0061] 车载终端前台 31、 摄像装置 32、 处理模块 33以及无线传输模块 34,
[0062] 所述车载终端前台 31, 用于在接收到驾驶员身份识别信息后, 向所述摄像装置 32发送启动指令;
[0063] 所述摄像装置 32, 用于在接收到所述启动指令后, 启动摄像装置 32, 并检测当 前环境光强度, 当检测到的所述环境光强度不符合预设的第一条件吋, 向所述 处理模块 33发送处理指令;
[0064] 所述处理模块 33, 用于在接收到所述处理指令后, 对所述环境光强度进行处理
, 以使得处理后的所述环境光强度符合所述第一条件;
[0065] 所述摄像装置 32, 还用于在所述环境光强度符合所述第一条件后拍摄照片; [0066] 所述无线传输模块 34, 用于将拍摄的所述照片发送至云服务器进行驾驶员身份 识别。
[0067] 需要说明的是, 所述车载终端前台 31、 摄像装置 32、 处理模块 33以及无线传输 模块 34可以集成在一个终端设备中; 也可以分别作为独立的装置, 独立的装置 相互之间通过无线或者有线的方式传输数据; 还可以其中的一个或者多个集成 在一起。 所述摄像装置 32可以是带有摄像功能的移动终端等。
[0068] 可选的, 所述摄像装置 32和所述处理模块 33分别固定在车辆内的中央后视镜支 架上或者附着在所述中央后视镜上。
[0069] 可选的, 所述装置还包括:
[0070] 检测模块 35, 用于在将拍摄的所述照片发送至云服务器之前, 检测拍摄的所述 照片是否符合预设的第二条件。
[0071] 需要说明的是, 所述检测模块 35可以集成在摄像装置 32中, 还可以集成在车载 终端前台 31, 还可以单独作为一个独立的装置存在。
[0072] 可选的, 所述检测模块 35具体用于:
[0073] 检测拍摄的所述照片是否包含全部的人脸特征或者预定比例的人脸特征; [0074] 所述无线传输模块 34还用于:
[0075] 将拍摄的包含全部的人脸特征或者预定比例的人脸特征的照片发送至所述云服 务器。
[0076] 需要说明的是, 所述无线传输模块 34可以集成在摄像装置中, 还可以集成在车 载终端前台。
[0077] 可选的, 所述装置还包括:
[0078] 控制模块, 用于接收云服务器反馈的驾驶员身份识别结果的信息, 并根据所述 驾驶员身份识别结果的信息对车辆进行相应的操作。
[0079] 所属领域的技术人员可以清楚地了解到, 为描述的方便和简洁, 仅以上述各功 能模块的划分进行举例说明, 实际应用中, 可以根据需要而将上述功能分配由 不同的功能模块或装置完成, 即所述驾驶员身份识别装置的内部结构划分成不 同的功能模块或装置, 以完成以上描述的全部或者部分功能。 实施例中的各功 能模块、 装置可以集成在一个处理单元中, 也可以是各个单元单独物理存在, 也可以两个或两个以上模块或装置集成在一个单元中, 上述集成的模块或装置 既可以采用硬件的形式实现, 也可以采用软件功能单元的形式实现。 另外, 各 功能模块、 装置的具体名称也只是为了便于相互区分, 并不用于限制本申请的 保护范围。 上述装置中模块、 装置的具体工作过程, 可以参考前述方法实施例 的对应过程, 在此不再赘述。
[0080] 实施例四:
[0081] 参见图 4, 图 4是本发明实施例四提供的一种车载终端的示意框图。 如图所示的 该车载终端可以包括: 一个或多个处理器 401 (图 4中仅示出一个) ; 一个或多 个输入设备 402 (图 4中仅示出一个) , 一个或多个输出设备 403 (图 4中仅示出 一个) 、 存储器 404和摄像装置 405。 上述处理器 401、 输入设备 402、 输出设备 4 03、 存储器 404和摄像装置 405通过总线 406连接。 存储器 404用于存储指令, 处 理器 401用于执行存储器 404存储的指令。 其中:
[0082] 所述处理器 401, 用于在通过输入设备 402接收到驾驶员身份识别信息后, 启动 摄像装置 405; 所述处理器 401还用于通过启动后的所述摄像装置 405检测当前环 境光强度, 当检测到的所述环境光强度不符合预设的第一条件吋, 通过处理模 块对所述环境光强度进行处理, 以使得处理后的所述环境光强度符合所述第一 条件; 所述处理器 401还用于在所述环境光强度符合所述第一条件后, 通过所述 摄像装置 405拍摄照片; 所述处理器 401还用于通过输出设备 403将拍摄的所述照 片发送至云服务器进行驾驶员身份识别。
[0083] 可选的, 所述摄像装置 405和所述处理模块分别固定在车辆内的中央后视镜支 架上或者附着在所述中央后视镜上。
[0084] 可选的, 所述处理器 401还用于在将拍摄的所述照片发送至云服务器之前, 检 测拍摄的所述照片是否符合预设的第二条件。
[0085] 可选的, 所述处理器 401还用于检测拍摄的所述照片是否包含全部的人脸特征 或者预定比例的人脸特征; 所述处理器 401还用于将拍摄的包含全部的人脸特征 或者预定比例的人脸特征的照片通过输出设备 403发送至所述云服务器。
[0086] 可选的, 所述处理器 401还用于通过输入设备 402接收云服务器反馈的驾驶员身 份识别结果的信息, 并根据所述驾驶员身份识别结果的信息通过输出设备 403对 车辆进行相应的操作。
[0087] 所述存储器 404, 用于存储软件程序、 模块、 装置以及车载终端中需要的数据 信息, 所述处理器 401通过运行存储在所述存储器 404的软件程序、 模块以及单 元, 从而执行各种功能应用以及数据处理, 以在不改变驾驶员驾驶习惯的前提 下提高识别的准确率。
[0088] 应当理解, 在本发明实施例中, 所称处理器 401可以是中央处理单元 (Central Processing Unit, CPU) , 该处理器还可以是其他通用处理器、 数字信号处理器 (Digital Signal Processor, DSP)、 专用集成电路 (Application Specific Integrated Circuit, ASIC)、 现成可编程门阵列(Field-Programmable Gate Array, FPGA)或 者其他可编程逻辑器件、 分立门或者晶体管逻辑器件、 分立硬件组件等。 通用 处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
[0089] 输入设备 402可以包括触控板、 指纹采集传感器 (用于采集用户的指纹信息和 指纹的方向信息) 、 麦克风、 摄像头、 数据采集装置、 数据接收装置等, 输出 设备 403可以包括显示器 (LCD等) 、 扬声器、 数据发送装置、 无线传输装置等 [0090] 该存储器 404可以包括只读存储器和随机存取存储器, 并向处理器 401提供指 令和数据。 存储器 404的一部分还可以包括非易失性随机存取存储器。 例如, 存 储器 404还可以存储设备类型的信息。
[0091] 该摄像装置 405可包括镜头模组、 影像感测器以及闪光灯等组件。 镜头模组用 于对被拍摄的目标成像, 并将所成的像映射至影像感测器中。 影像感测器用于 接收来自镜头模组的光线, 实现感光, 以记录图像信息。 具体地, 影像感测器 可基于互补金属氧化物半导体 (Complementary Metal Oxide
Semiconductor, CMOS) 、 电荷耦合元件 (Charge-coupled Device, CCD) 或者 其他影像感测原理实现。 闪光灯用于在拍摄吋进行曝光补偿。
[0092] 具体实现中, 本发明实施例中所描述的处理器 401、 输入设备 402、 输出设备 40 3和存储器 404可执行本发明实施例提供的驾驶员身份识别方法的实施例中所描 述的实现方式, 也可执行驾驶员身份识别装置的实施例三中所描述的实现方式 , 在此不再赘述。
[0093] 本领域普通技术人员可以意识到, 结合本文中所公幵的实施例描述的各示例的 模块及算法步骤, 能够以电子硬件、 计算机软件或者二者的结合来实现, 为了 清楚地说明硬件和软件的可互换性, 在上述说明中已经按照功能一般性地描述 了各示例的组成及步骤。 这些功能究竟以硬件还是软件方式来执行, 取决于技 术方案的特定应用和设计约束条件。 专业技术人员可以对每个特定的应用来使 用不同方法来实现所描述的功能, 但是这种实现不应认为超出本发明的范围。
[0094] 在本发明所提供的实施例中, 应该理解到, 所揭露的装置和方法, 可以通过其 它的方式实现。 例如, 以上所描述的实施例仅仅是示意性的, 例如, 所述模块 或单元的划分, 仅仅为一种逻辑功能划分, 实际实现吋可以有另外的划分方式 , 例如多个单元或组件可以结合或者可以集成到另一个系统, 或一些特征可以 忽略, 或不执行。 另一点, 所显示或讨论的相互之间的耦合或直接耦合或通讯 连接可以是通过一些接口, 装置或单元的间接耦合或通讯连接, 可以是电性, 机械或其它的形式。
[0095] 所述作为分离部件说明的单元可以是或者也可以不是物理上分幵的, 作为单元 显示的部件可以是或者也可以不是物理单元, 即可以位于一个地方, 或者也可 以分布到多个网络单元上。 可以根据实际的需要选择其中的部分或者全部单元 来实现本实施例方案的目的。
[0096] 另外, 在本发明各个实施例中的各功能模块可以集成在一个处理单元中, 也可 以是各个单元单独物理存在, 也可以两个或两个以上单元集成在一个单元中。 上述集成的单元既可以采用硬件的形式实现, 也可以采用软件功能单元的形式 实现。
[0097] 所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用 吋, 可以存储在一个计算机可读取存储介质中。 基于这样的理解, 本发明实施 例的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部 或部分可以以软件产品的形式体现出来, 该计算机软件产品存储在一个存储介 质中, 包括若干指令用以使得一台计算机设备 (可以是个人计算机, 服务器, 或者网络设备等) 或处理器 (processor) 执行本发明实施例各个实施例所述方法 的全部或部分步骤。 而前述的存储介质包括: U盘、 移动硬盘、 只读存储器 (R 0M, Read-Only Memory) 、 随机存取存储器 (RAM, Random Access Memory ) 、 磁碟或者光盘等各种可以存储程序代码的介质。
以上所述实施例仅用以说明本发明的技术方案, 而非对其限制; 尽管参照前述 实施例对本发明进行了详细的说明, 本领域的普通技术人员应当理解: 其依然 可以对前述各实施例所记载的技术方案进行修改, 或者对其中部分技术特征进 行等同替换; 而这些修改或者替换, 并不使相应技术方案的本质脱离本发明实 施例各实施例技术方案的精神和范围。

Claims

权利要求书
[权利要求 1] 一种驾驶员身份识别方法, 其特征在于, 所述方法包括:
在接收到驾驶员身份识别信息后, 启动摄像装置; 通过启动后的所述摄像装置检测当前环境光强度, 当检测到的所述环 境光强度不符合预设的第一条件吋, 通过处理模块对所述环境光强度 进行处理, 以使得处理后的所述环境光强度符合所述第一条件; 在所述环境光强度符合所述第一条件后, 通过所述摄像装置拍摄照片 将拍摄的所述照片发送至云服务器进行驾驶员身份识别。
[权利要求 2] 根据权利要求 1所述的方法, 其特征在于, 所述摄像装置和所述处理 模块分别固定在车辆内的中央后视镜支架上或者附着在所述中央后视 镜上。
[权利要求 3] 根据权利要求 1所述的方法, 其特征在于, 在将拍摄的所述照片发送 至云服务器之前, 还包括:
检测拍摄的所述照片是否符合预设的第二条件。
[权利要求 4] 根据权利要求 3所述的方法, 其特征在于, 所述检测拍摄的所述照片 是否符合预设的第二条件包括:
检测拍摄的所述照片是否包含全部的人脸特征或者预定比例的人脸特 征;
所述将拍摄的所述照片发送至云服务器包括:
将拍摄的包含全部的人脸特征或者预定比例的人脸特征的照片发送至 所述云服务器。
[权利要求 5] 根据权利要求 1所述的方法, 其特征在于, 所述方法还包括:
接收云服务器反馈的驾驶员身份识别结果的信息, 并根据所述驾驶员 身份识别结果的信息对车辆进行相应的操作。
[权利要求 6] —种驾驶员身份识别装置, 其特征在于, 所述装置包括:
车载终端前台、 摄像装置、 处理模块以及无线传输模块,
所述车载终端前台, 用于在接收到驾驶员身份识别信息后, 向所述摄 像装置发送启动指令;
所述摄像装置, 用于在接收到所述启动指令后, 启动摄像装置, 并检 测当前环境光强度, 当检测到的所述环境光强度不符合预设的第一条 件吋, 向所述处理模块发送处理指令;
所述处理模块, 用于在接收到所述处理指令后, 对所述环境光强度进 行处理, 以使得处理后的所述环境光强度符合所述第一条件; 所述摄像装置, 还用于在所述环境光强度符合所述第一条件后拍摄照 片;
所述无线传输模块, 用于将拍摄的所述照片发送至云服务器进行驾驶 员身份识别。
[权利要求 7] 根据权利要求 6所述的装置, 其特征在于, 所述摄像装置和所述处理 模块分别固定在车辆内的中央后视镜支架上或者附着在所述中央后视 镜上。
[权利要求 8] 根据权利要求 6所述的装置, 所述装置还包括:
检测模块, 用于在将拍摄的所述照片发送至云服务器之前, 检测拍摄 的所述照片是否符合预设的第二条件。
[权利要求 9] 根据权利要求 8所述的装置, 其特征在于, 所述检测模块具体用于: 检测拍摄的所述照片是否包含全部的人脸特征或者预定比例的人脸特 征;
所述无线传输模块还用于:
将拍摄的包含全部的人脸特征或者预定比例的人脸特征的照片发送至 所述云服务器。
[权利要求 10] 根据权利要求 1所述的装置, 其特征在于, 所述装置还包括:
控制模块, 用于接收云服务器反馈的驾驶员身份识别结果的信息, 并 根据所述驾驶员身份识别结果的信息对车辆进行相应的操作。
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