WO2021120564A1 - 一种屏幕亮度调节方法及头盔 - Google Patents

一种屏幕亮度调节方法及头盔 Download PDF

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Publication number
WO2021120564A1
WO2021120564A1 PCT/CN2020/097014 CN2020097014W WO2021120564A1 WO 2021120564 A1 WO2021120564 A1 WO 2021120564A1 CN 2020097014 W CN2020097014 W CN 2020097014W WO 2021120564 A1 WO2021120564 A1 WO 2021120564A1
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Prior art keywords
optical waveguide
brightness
helmet
screen
original image
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PCT/CN2020/097014
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English (en)
French (fr)
Inventor
刘若鹏
栾琳
季春霖
陶通宁
徐冠雄
刘宏伟
Original Assignee
深圳光启空间技术有限公司
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Priority claimed from CN201911317241.8A external-priority patent/CN111280577A/zh
Priority claimed from CN201922296732.0U external-priority patent/CN212036233U/zh
Priority claimed from CN201911324423.8A external-priority patent/CN111292703A/zh
Application filed by 深圳光启空间技术有限公司 filed Critical 深圳光启空间技术有限公司
Publication of WO2021120564A1 publication Critical patent/WO2021120564A1/zh

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    • A—HUMAN NECESSITIES
    • A42—HEADWEAR
    • A42B—HATS; HEAD COVERINGS
    • A42B3/00—Helmets; Helmet covers ; Other protective head coverings
    • A42B3/04—Parts, details or accessories of helmets
    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
    • G02B27/01—Head-up displays
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G09G5/10—Intensity circuits

Definitions

  • the invention relates to the technical field of brightness adjustment, in particular to a method for adjusting the brightness of a screen and a helmet.
  • the brightness adjustment scheme of the smart helmet screen is generally based on the photosensitive sensor to collect the environmental brightness, the analog signal of the environmental brightness is collected into a digital signal and then fed back to the processor, and the processor sends instructions to adjust the screen brightness.
  • This method is not real-time. Due to the installation position of the photosensitive sensor and the accuracy of the components, the environmental brightness collected by the photosensitive sensor is poorly consistent with the shooting environment in which the smart helmet camera is located, causing the screen picture seen by the human eye from the optical waveguide to be dark or bright , And the screen brightness adjustment delay of the optical waveguide is relatively large, which greatly affects the experience of people.
  • the technical problem to be solved by the present invention is to provide a screen brightness adjustment method and device, which can adjust the brightness of the light guide screen by extracting the brightness signal of the image taken by the camera, which can truly reflect the environmental brightness of the scene shot by the camera, not only the light guide Brightness adjustment has high real-time performance and good reliability, which makes it more comfortable for human eyes to watch the light guide screen.
  • an embodiment of the present invention provides a screen brightness adjustment method, including:
  • the optical waveguide control chip receives an instruction sent by the baseband chip, the instruction carrying image target brightness information
  • the optical waveguide control chip adjusts the brightness of the optical waveguide display screen according to the brightness information of the image target.
  • the above technical solution has the following advantages: it can adjust the brightness of the light guide screen by extracting the brightness signal of the image taken by the camera, which can truly reflect the environmental brightness of the scene shot by the camera, and not only adjust the brightness of the light guide in real time. High and reliable, so that human eyes can watch the light guide screen more comfortably.
  • Fig. 1 is a preferred embodiment of the screen brightness adjustment method of the present invention.
  • FIG. 2 is a schematic diagram of the middle part of the original image in the method for adjusting the screen brightness of the present invention.
  • Fig. 3 is a schematic diagram of a part around an original image in the screen brightness adjustment method of the present invention.
  • Figure 4 is a preferred embodiment of a helmet of the present invention.
  • Fig. 5 is a schematic structural diagram of another preferred embodiment of a helmet of the present invention.
  • Fig. 1 is a preferred embodiment of the screen brightness adjustment method of the present invention. As shown in Figure 1, a method for adjusting screen brightness includes at least the following steps:
  • the optical waveguide control chip receives an instruction sent by the baseband chip, and the instruction carries image target brightness information;
  • the optical waveguide control chip adjusts the brightness of the optical waveguide display screen according to the image target brightness information, and the optical waveguide control chip sets the brightness of the optical waveguide display screen as the image target brightness.
  • step S10 may be included before step S11: the baseband chip obtains the original image information collected by the camera, and obtains the image target brightness information according to the original image information.
  • a photosensitive sensor is used to obtain the original image brightness information.
  • the image target brightness data can be the average brightness of the original image, the brightness of the middle part of the original image, or the brightness of the surrounding area of the original image.
  • the baseband chip sends instructions to the optical waveguide control chip through the I2C interface.
  • the baseband chip obtains the original image information collected by the camera through the built-in ISP.
  • the middle part of the original image refers to an image composed of a length of L ⁇ L and a width of W ⁇ W, assuming that the length and width of the original image are L and W, respectively. Among them, 0 ⁇ L ⁇ 1, 0 ⁇ W ⁇ 1. During specific implementation, the values of ⁇ L and ⁇ W can be selected as required.
  • Fig. 3 is a schematic diagram of a part around an original image in the screen brightness adjustment method of the present invention.
  • the area around the original image refers to the original image length and width are L and W, respectively, the proportions of ⁇ L, ⁇ W, the length of L ⁇ L and width of W ⁇ W constitute the image Outside the image, where 0 ⁇ L ⁇ 1, 0 ⁇ W ⁇ 1.
  • the values of ⁇ L and ⁇ W can be selected as required.
  • the screen brightness adjustment method of the present invention can be generally applied to the field of smart helmets.
  • the smart helmet camera When the smart helmet camera is working, it avoids using the photosensitive sensor to directly obtain the ambient brightness, but obtains the video through the video image collected by the smart helmet camera.
  • the brightness information of the light guide is used to adjust the brightness of the light guide screen.
  • the present invention can reflect the brightness of the shooting scene more truly, the brightness adjustment of the screen has better real-time and reliability, and the light guide screen is more comfortable for human eyes to watch.
  • FIG. 4 is a preferred embodiment of the helmet of the present invention.
  • a screen brightness adjustment device includes a camera, a baseband chip, an optical waveguide control chip, an optical waveguide display screen, and a photosensitive sensor that are electrically connected, and the device executes the above-mentioned method.
  • the baseband chip includes but is not limited to MT6763.
  • the optical waveguide control chip includes but is not limited to HX7816.
  • Fig. 5 is a schematic structural diagram of a preferred embodiment of a smart helmet of the present invention.
  • the brightness information of the video is obtained from the video screen collected by the camera of the smart helmet, and the brightness of the light guide screen is adjusted by this brightness information, that is, before step S11
  • Sequential step S10 is implemented after the image is collected by the camera and further processed.
  • the instruction to adjust the brightness required by S11 is implemented in other ways.
  • a smart helmet includes: a camera, a baseband chip, a power management chip, an optical waveguide control chip, and an optical waveguide display screen that are electrically connected.
  • the camera is used to detect the recognized object.
  • ISP Image Signal Processing
  • the image signal processor, the ISP is responsible for processing the original video information of the identified object captured by the camera, and restoring the original video information into a normal video image.
  • the software integrated in the baseband chip of the host determines whether there is an identified body. These software algorithms currently include face recognition based on deep learning, eigenface method, geometric feature method, elastic map matching method, etc. When the identified body does not exist, the baseband chip sends instructions to the optical waveguide control chip through the I2C interface.
  • the host baseband chip first sends a start signal to the slave optical waveguide control chip, then the host baseband chip sends 1 byte of slave address information, then the slave optical waveguide control chip sends an approval signal, and then the baseband chip starts sending Turn off the information of the optical waveguide display screen. After each byte is sent, the slave optical waveguide control chip sends an approval signal to the host baseband chip, and finally the host baseband chip sends a stop signal.
  • the optical waveguide control chip relates to the corresponding register bit of the display switch. When it is set to 0, the light guide screen goes out.
  • the baseband chip includes but is not limited to MT6763.
  • the power management chip includes but is not limited to MT6356.
  • the optical waveguide control chip includes but is not limited to HX7816.
  • a smart helmet in another example, includes a camera, a baseband chip, a power management chip, an optical waveguide control chip, and an optical waveguide display screen that are electrically connected.
  • the camera is used to detect the recognized object.
  • ISP Image Signal Processing
  • the image signal processor, the ISP is responsible for processing the original video information of the identified object captured by the camera, and restoring the original video information into a normal video image.
  • the software integrated in the baseband chip of the host determines whether there is an identified body.
  • These software algorithms currently include face recognition based on deep learning, eigenface method, geometric feature method, elastic map matching method, etc.
  • the baseband chip When the identified body does not exist, the baseband chip sends instructions to the power management chip through the I2C interface, and the power management chip turns off the optical waveguide display screen. That is, the host baseband chip first sends a start signal to the slave power management chip, then the host baseband chip sends 1 byte of slave address information, and then the slave power management chip sends an approval signal, and then the baseband chip starts to send a signal to turn off the optical waveguide display. After sending one byte of information, the slave power management chip sends an approval signal to the host baseband chip, and finally the host baseband chip sends a stop signal.
  • the power management chip related to the optical waveguide control chip's power branch's corresponding register bit is set to 0 , The power of the optical waveguide control chip is cut off, and the optical waveguide display screen goes out.
  • the baseband chip includes but is not limited to: MT6763.
  • the power management chip includes but is not limited to: MT6356.
  • the optical waveguide control chip includes but is not limited to: HX7816.
  • the smart helmet includes: a camera, a baseband chip, a power management chip, an optical waveguide control chip, an optical waveguide display screen that are electrically connected, and Smart wearable devices connected to the smart helmet via Bluetooth, wired or wireless, such as any one of smart watches, smart bracelets, and smart clothes, are selected as smart watches in this embodiment.
  • the camera is used to detect the recognized object.
  • ISP Image Signal Processing
  • the image signal processor, the ISP is responsible for processing the original video information of the identified object captured by the camera, and restoring the original video information into a normal video image.
  • the software integrated in the baseband chip of the host determines whether there is an identified body.
  • the smart watch closes the light guide display through the APP.
  • the smart watch integrates multiple functions including manually turning off the optical waveguide display through the APP.
  • the baseband chip includes but is not limited to: MT6763.
  • the power management chip includes but is not limited to: MT6356.
  • the optical waveguide control chip includes but is not limited to: HX7816.

Abstract

一种屏幕亮度调节方法及头盔，其中，方法包括：基带芯片获取摄像头采集的原始图像信息，得到图像目标亮度信息；基带芯片向光波导控制芯片发送指令，指令携带图像目标亮度数据；光波导控制芯片收到指令，按图像目标亮度数据对光波导显示屏进行调整。通过提取摄像头拍摄的图像的亮度信号来调整光波导屏幕的亮度，可以真实反映摄像头所拍摄场景的环境亮度，实时性高、可靠性好，从而使人眼观看光波导屏幕更加舒适。

Description

一种屏幕亮度调节方法及头盔 技术领域
本发明涉及亮度调节技术领域，尤其涉及一种屏幕亮度调节方法及头盔。
 背景技术
目前智能头盔屏幕亮度的调节方案普遍基于光敏传感器采集环境亮度，把环境亮度模拟信号采集成数字信号后反馈给处理器，处理器再发送指令去调整屏幕亮度，此方法实时性不高。由于光敏传感器安装位置和元件精度等原因，光敏传感器采集到的环境亮度与智能头盔摄像头所处的拍摄环境一致性较差，导致人眼从光波导中看到的屏幕画面要么偏暗要么偏亮，且光波导的屏幕亮度调节延迟较大，这大大影响了人们的体验效果。
 技术问题
本发明所要解决的技术问题是提供一种屏幕亮度调节方法及装置，能够通过提取摄像头拍摄的图像的亮度信号来调整光波导屏幕的亮度，可以真实反映摄像头所拍摄场景的环境亮度，不仅光波导亮度调节实时性高、可靠性好，从而使人眼观看光波导屏幕更加舒适。
 技术解决方案
为解决上述技术问题，本发明一实施例提供了一种屏幕亮度调节方法，包括：
光波导控制芯片接收基带芯片发送的指令，所述指令携带图像目标亮度信息；
光波导控制芯片根据图像目标亮度信息对光波导显示屏进行亮度调整。
 有益效果
与现有技术相比，上述技术方案具有以下优点：能够通过提取摄像头拍摄的图像的亮度信号来调整光波导屏幕的亮度，可以真实反映摄像头所拍摄场景的环境亮度，不仅光波导亮度调节实时性高、可靠性好，从而使人眼观看光波导屏幕更加舒适。
 附图说明
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它的附图。
图1是本发明屏幕亮度调节方法优选实施例。
图2是本发明屏幕亮度调节方法中原始图像中间部分示意图。
图3是本发明屏幕亮度调节方法中原始图像周围部分示意图。
图4是本发明一种头盔的优选实施例。
图5是本发明一种头盔的另一优选实施例结构示意图。
 本发明的实施方式
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，所描述的实施例仅仅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作出创造性劳动前提下所获得的所有其它实施例，都属于本发明保护的范围。
图1是本发明屏幕亮度调节方法优选实施例。如图1所示，一种屏幕亮度调节方法，至少包括步骤：
S11、光波导控制芯片接收基带芯片发送的指令，所述指令携带图像目标亮度信息；
S12、光波导控制芯片根据图像目标亮度信息对光波导显示屏进行亮度调整，光波导控制芯片设置光波导显示屏的亮度为图像目标亮度。
具体实施时，在步骤S11之前还可以包括步骤S10：基带芯片获取摄像头采集的原始图像信息，根据原始图像信息得到图像目标亮度信息。采用光敏传感器获得原始图像亮度信息。根据原始图像亮度信息，图像目标亮度数据可以为原始图像平均亮度、原始图像中间部分亮度或原始图像周围区域亮度。基带芯片通过I2C接口向光波导控制芯片发送指令。基带芯片通过内置的ISP获取摄像头采集的原始图像信息。
图2是本发明屏幕亮度调节方法中原始图像中间部分示意图。如图2所示，原始图像中间部分指的是，假设原始图像长度和宽度分别为L和W，则分别取比例αL、βW，由长度为L×αL和宽度为W×βW构成的图像，其中，0<αL<1、0<βW<1。具体实施时，可以根据需要选择αL、βW的值。
图3是本发明屏幕亮度调节方法中原始图像周围部分示意图。如图3所示，原始图像周围区域指的是，假设原始图像长度和宽度分别为L和W，则分别取比例αL、βW，由长度为L×αL和宽度为W×βW构成的图像之外的图像，其中，0<αL<1、0<βW<1。具体实施时，可以根据需要选择αL、βW的值。
可见，本发明一种屏幕亮度调节方法，可以普遍适用于智能头盔领域，在智能头盔摄像头工作的时候，避免采用光敏传感器直接获取环境亮度，而是通过智能头盔的摄像头采集到的视频画面获取视频的亮度信息，通过此亮度信息来调节光波导屏幕的亮度。比起直接采用光敏传感器来获取环境亮度，本发明能更加真实的反映拍摄场景的亮度，屏幕的亮度调整实时性、可靠性更好，使人眼观看光波导屏幕更加舒适。
图4是本发明头盔的优选实施例。如图4所示，一种屏幕亮度调节装置，包括通过电连接的摄像头、基带芯片、光波导控制芯片、光波导显示屏、光敏传感器，所述装置执行上述的方法。
具体实施时，基带芯片包括但是不限制为MT6763。光波导控制芯片包括但是不限制为HX7816。
图5是本发明一种智能头盔的优选实施例结构示意图。与图4的实施例所不同的是，在图4的实施例通过智能头盔的摄像头采集到的视频画面获取视频的亮度信息，通过此亮度信息来调节光波导屏幕的亮度，即步骤S11的前序步骤S10是通过摄像头来采集图像并进一步处理后实现的，在另外的实施例中，S11所需要的调节亮度的指令由其他的方式实现。
在一个可实现的例子中，智能头盔，包括：通过电连接的摄像头、基带芯片、电源管理芯片、光波导控制芯片、光波导显示屏。摄像头用于检测被识别体。主机基带芯片中内置ISP(Image Signal Processing)图像信号处理器，ISP负责处理摄像头拍摄到的被识别体原始视频信息，把这些原始视频信息还原成正常的视频图像。集成在主机基带芯片中的软件判断有没有被识别体出现，这些软件算法目前有基于深度学习的人脸识别、特征脸方法、几何特征法、弹性图匹配法等。当被识别体不存在时，基带芯片通过I2C接口发送指令给光波导控制芯片。具体实施时，即主机基带芯片首先给从机光波导控制芯片发送开始信号，接着主机基带芯片发出1字节的从机地址信息，然后从机光波导控制芯片发出认可信号，接着基带芯片开始发送关闭光波导显示屏的信息，每发完一字节后，从机光波导控制芯片发出认可信号给主机基带芯片，最后主机基带芯片发出停止信号，光波导控制芯片涉及显示屏开关的相应寄存器位被置0，光波导显示屏熄灭。具体实施时，基带芯片包括但是不限制为MT6763。电源管理芯片包括但是不限制为MT6356。光波导控制芯片包括但是不限制为HX7816。
在另外的一个例子中，智能头盔，包括：通过电连接的摄像头、基带芯片、电源管理芯片、光波导控制芯片、光波导显示屏。摄像头用于检测被识别体。主机基带芯片中内置ISP(Image Signal Processing)图像信号处理器，ISP负责处理摄像头拍摄到的被识别体原始视频信息，把这些原始视频信息还原成正常的视频图像。集成在主机基带芯片中的软件判断有没有被识别体出现，这些软件算法目前有基于深度学习的人脸识别、特征脸方法、几何特征法、弹性图匹配法等。当被识别体不存在时，基带芯片通过I2C接口发送指令给电源管理芯片，电源管理芯片关闭光波导显示屏。即主机基带芯片首先给从机电源管理芯片发送开始信号，接着主机基带芯片发出1字节的从机地址信息，然后从机电源管理芯片发出认可信号，接着基带芯片开始发送关闭光波导显示屏的信息，每发完一字节后，从机电源管理芯片发出认可信号给主机基带芯片，最后主机基带芯片发出停止信号，电源管理芯片涉及光波导控制芯片的电源支路的相应寄存器位被置0，光波导控制芯片电源被截止，光波导显示屏熄灭。具体实施时，基带芯片包括但是不限制为：MT6763。电源管理芯片包括但是不限制为：MT6356。光波导控制芯片包括但是不限制为：HX7816。
可选的，S11的步骤所需要的指令还可以是其他的硬件来实现，智能头盔，包括：通过电连接的摄像头、基带芯片、电源管理芯片、光波导控制芯片、光波导显示屏，还包括通过蓝牙、有线或者无线与智能头盔连接的智能穿戴设备，如智能手表、智能手环、智能服装中的任何一种，本实施例选为智能手表。摄像头用于检测被识别体。主机基带芯片中内置ISP(Image Signal Processing)图像信号处理器，ISP负责处理摄像头拍摄到的被识别体原始视频信息，把这些原始视频信息还原成正常的视频图像。集成在主机基带芯片中的软件判断有没有被识别体出现，这些软件算法目前有基于深度学习的人脸识别、特征脸方法、几何特征法、弹性图匹配法等。当被识别体不存在时，当被识别体不存在时，智能手表通过APP关闭光波导显示屏。智能手表通过APP集成包括手动关闭光波导显示屏在内的多项功能。具体实施时，基带芯片包括但是不限制为：MT6763。电源管理芯片包括但是不限制为：MT6356。光波导控制芯片包括但是不限制为：HX7816。
由上述说明可知，使用根据本发明的智能头盔，能够通过人脸识别，在没有检测到人脸的场景下，关闭光波导来降低功耗从而延长电池续航时间，使得使用人员面对多次充电和随身携带电池带来的困扰得到改善，提升了用户使用满意度。
 工业实用性
以上对本发明实施例进行了详细介绍，本文中应用了具体个例对本发明的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本发明的方法及其核心思想；同时，对于本领域的一般技术人员，依据本发明的思想，在具体实施方式及应用范围上均会有改变之处，综上所述，本说明书内容不应理解为对本发明的限制。

Claims (22)

  1. 一种屏幕亮度调节方法，其特征在于，包括：
    光波导控制芯片接收基带芯片发送的指令，所述指令携带图像目标亮度信息；
    光波导控制芯片根据图像目标亮度信息对光波导显示屏进行亮度调整。
  2. 根据权利要求1所述的屏幕亮度调节方法，其特征在于，在光波导控制芯片接收基带芯片发送的指令之前还包括：
    基带芯片获取摄像头采集的原始图像信息，根据原始图像信息得到图像目标亮度信息。
  3. 根据权利要求1所述的屏幕亮度调节方法，其特征在于，所述光波导控制芯片根据图像目标亮度信息对光波导显示屏进行亮度调整包括：
    光波导控制芯片设置光波导显示屏的亮度为图像目标亮度。
  4. 根据权利要求1所述的屏幕亮度调节方法，其特征在于，光波导控制芯片接收基带芯片通过I2C接口发送的指令。
  5. 根据权利要求1所述的屏幕亮度调节方法，其特征在于，所述基带芯片获取摄像头采集的原始图像信息，根据原始图像信息得到图像目标亮度信息包括：采用光敏传感器获得原始图像亮度信息。
  6. 根据权利要求2所述的屏幕亮度调节方法，其特征在于，所述基带芯片通过内置的ISP获取摄像头采集的原始图像信息。
  7. 根据权利要求5所述的屏幕亮度调节方法，其特征在于，所述图像目标亮度数据为原始图像平均亮度。
  8. 根据权利要求5所述的屏幕亮度调节方法，其特征在于，所述图像目标亮度数据为原始图像中间部分亮度。
  9. 根据权利要求5所述的屏幕亮度调节方法，其特征在于，所述图像目标亮度数据为原始图像周围区域亮度。
  10. 根据权利要求8所述的屏幕亮度调节方法，其特征在于，所述原始图像中间部分指的是，假设原始图像长度和宽度分别为L和W，则分别取比例αL、βW，由长度为L×αL和宽度为W×βW构成的图像，其中，0<αL<1、0<βW<1。
  11. 根据权利要求9所述的屏幕亮度调节方法，其特征在于，所述原始图像周围区域指的是，假设原始图像长度和宽度分别为L和W，则分别取比例αL、βW，由长度为L×αL和宽度为W×βW构成的图像之外的图像，其中，0<αL<1、0<βW<1。
  12. 一种头盔，其特征在于，包括通过电连接的基带芯片、光波导控制芯片、光波导显示屏，所述头盔执行如权利要求1至11任意一项所述的方法。
  13. 一种头盔，其特征在于，包括：通过电连接的摄像头、基带芯片、电源管理芯片、光波导控制芯片、光波导显示屏，所述摄像头用于检测被识别体，当被识别体不存在时，关闭光波导显示屏。
  14. 根据权利要求13所述的头盔，其特征在于，所述头盔还包括智能穿戴设备。
  15. 根据权利要求13所述的头盔，其特征在于，当被识别体不存在时，所述基带芯片发送指令给所述光波导控制芯片，所述光波导控制芯片关闭所述光波导显示屏。
  16. 根据权利要求13所述的头盔，其特征在于，当被识别体不存在时，所述基带芯片发送指令给所述电源管理芯片，所述电源管理芯片关闭所述光波导显示屏。
  17. 根据权利要求14所述的头盔，其特征在于，所述智能穿戴设备与所述头盔通过蓝牙连接。
  18. 根据权利要求14所述的头盔，其特征在于，所述智能穿戴设备与所述头盔通过无线连接。
  19. 根据权利要求14所述的头盔，其特征在于，所述智能穿戴设备与所述头盔通过有线连接。
  20. 根据权利要求14所述的头盔，其特征在于，当被识别体不存在时，所述智能穿戴设备关闭所述光波导显示屏。
  21. 根据权利要求14所述的头盔，其特征在于，所述智能穿戴设备包括智能手表、智能手环、智能服装中的任何一种。
  22. 根据权利要求15所述的头盔，其特征在于，所述基带芯片通过I2C接口发送指令给所述光波导控制芯片。
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