WO2020082242A1 - 一种基于fpga+arm控制的驾驶员疲劳监控系统 - Google Patents

一种基于fpga+arm控制的驾驶员疲劳监控系统 Download PDF

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WO2020082242A1
WO2020082242A1 PCT/CN2018/111472 CN2018111472W WO2020082242A1 WO 2020082242 A1 WO2020082242 A1 WO 2020082242A1 CN 2018111472 W CN2018111472 W CN 2018111472W WO 2020082242 A1 WO2020082242 A1 WO 2020082242A1
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fpga
circuit
arm
chip
output
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黄正民
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黄正民
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Priority to KR1020187037926A priority Critical patent/KR20200049428A/ko
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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
    • G06V20/597Recognising the driver's state or behaviour, e.g. attention or drowsiness
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18Eye characteristics, e.g. of the iris
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/06Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2540/00Input parameters relating to occupants
    • B60W2540/043Identity of occupants

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  • the invention relates to a driver fatigue monitoring system, in particular to a driver fatigue monitoring system based on FPGA + ARM control.
  • the present invention discloses a driver fatigue monitoring system based on FPGA + ARM control, which has good recognition effect and high accuracy of recognition results.
  • a driver fatigue monitoring system based on FPGA + ARM control through iris detection of the number of blinks of the driver and fingerprint detection of the driver's steering wheel, comprehensive analysis of the two intelligent detections to obtain the current driver's working state, Through the implementation of voice broadcast, the fatigue monitoring of the driver is realized.
  • a driver fatigue monitoring system based on FPGA + ARM control includes an iris detection module, fingerprint detection module, FPGA chip module, communication module, ARM chip module, and output control module; the output ends of the iris detection module and fingerprint detection module are The input end of the FPGA chip module is connected, the output end of the FPGA chip module is connected to the input end of the communication module, the output end of the communication module is connected to the input end of the ARM chip module, and the output end of the ARM chip module is connected to the input end of the output control module;
  • the iris detection module includes a CCD camera, an infrared light-emitting diode, the output end of the CCD camera is connected to the infrared light-emitting diode input end;
  • the fingerprint detection module includes a fingerprint collection circuit, an image processing circuit, a result output circuit, a fingerprint collection circuit output terminal and image processing The circuit input terminal is connected, and the image processing circuit output terminal is connected to the result output circuit input terminal;
  • the FPGA chip module includes an F
  • the CCD camera in the iris detection module accumulates the corresponding charge according to the intensity of the light, and after filtering and amplification, a standard composite video signal is output through the output terminal of the camera, with 380,000 pixels and 420 lines.
  • the lens focal length is 1.6.
  • the image processing circuit in the fingerprint detection module includes a fingerprint sensor chip and a fingerprint sensor control circuit connected in sequence; the fingerprint sensor is an MBF200 solid-state fingerprint sensor.
  • the fingerprint detection module is installed on the steering wheel. When a finger touches the sensor, The unevenness of the fingerprint will produce a varying capacitance on the sensor array, which will cause a change in the voltage on the two-dimensional array. The changed voltage will be fed back to the fingerprint sensor control circuit. According to the changed voltage, the fingerprint sensor control circuit output will correspond. Rectangular pulse sequence.
  • the peripheral circuit in the FPGA chip module includes a first power circuit, a first clock circuit, a first reset circuit, and a JTAG interface circuit; the first power circuit has a frequency of 50 MHz, a filter capacitor of 0.1 uF, and a current limiting resistor of 33 ⁇ .
  • the peripheral circuit in the ARM chip module includes a second power circuit, a second clock circuit, a second reset circuit, an LCD display circuit, and a USB interface circuit.
  • the FPGA main chip is EP2C35F484C8, which has four phase-locked loop PLLs, distributing the four corners of the chip, and adjusts the clocks and clock phases of different frequencies of the synthesis chip;
  • the ARM main chip is STM32F407IGT6, with a main frequency of 168MHz.
  • the output control main chip is AD9707
  • the low voltage XOR gate is 76VX86
  • the operational amplifier is ADA4899
  • the main chip AD9707 input clock selects the differential clock
  • the output is a single-phase output.
  • the present invention has the following beneficial effects: According to the disclosed driver fatigue monitoring system based on FPGA + ARM control of the present invention, it has a dual recognition system of iris recognition and fingerprint recognition, which satisfies the multi-region driver Fatigue monitoring improves the recognition success rate. Moreover, the present invention has low cost and simple device, which plays an important role in improving the driver monitoring system and is easy to implement.
  • FIG. 1 is a structural block diagram of a driver fatigue monitoring system based on FPGA + ARM control according to an embodiment of the present invention.
  • a driver fatigue monitoring system based on FPGA + ARM control includes an iris detection module, fingerprint detection module, FPGA chip module, communication module, ARM chip module, and output control module; the output ends of the iris detection module and fingerprint detection module are The input end of the FPGA chip module is connected, the output end of the FPGA chip module is connected to the input end of the communication module, the output end of the communication module is connected to the input end of the ARM chip module, and the output end of the ARM chip module is connected to the input end of the output control module;
  • the iris detection module includes a CCD camera, an infrared light-emitting diode, the output end of the CCD camera is connected to the infrared light-emitting diode input end;
  • the fingerprint detection module includes a fingerprint collection circuit, an image processing circuit, a result output circuit, a fingerprint collection circuit output terminal and image processing The circuit input terminal is connected, and the image processing circuit output terminal is connected to the result output circuit input terminal;
  • the FPGA chip module includes an F
  • the CCD camera in the iris detection module accumulates the corresponding charge according to the intensity of the light, and after filtering and amplification, a standard composite video signal is output through the output terminal of the camera, with 380,000 pixels and 420 lines.
  • the focal length of the lens is 1.6;
  • the image processing circuit in the fingerprint detection module includes a fingerprint sensor chip and a fingerprint sensor control circuit connected in sequence;
  • the fingerprint sensor is an MBF200 solid-state fingerprint sensor, and the fingerprint detection module is installed on the steering wheel as a finger When the sensor is touched, the unevenness of the fingerprint will produce a changed capacitance on the sensor array, which will cause the voltage change on the two-dimensional array, and feedback the changed voltage to the fingerprint sensor control circuit.
  • the fingerprint sensor control The circuit outputs a corresponding rectangular pulse sequence;
  • the peripheral circuits in the FPGA chip module include a first power circuit, a first clock circuit, a first reset circuit, and a JTAG interface circuit; the frequency of the first power circuit is 50 MHz, and the filter capacitor is 0.1 uF , Current limiting resistance 33 ⁇ ;
  • the peripheral circuit in the ARM chip module includes the first Power circuit, second clock circuit, second reset circuit, LCD display circuit, USB interface circuit;
  • the FPGA main chip is EP2C35F484C8, with 4 phase-locked loop PLLs, distributing the four corners of the chip to synthesize different frequencies of the chip Clock and clock phase adjustment;
  • the ARM main chip is STM32F407IGT6, the main frequency is 168MHz;
  • the output control main chip in the output control module is AD9707, the low voltage XOR gate is 76VX86, the operational amplifier is ADA4899;
  • the main chip The AD9707 input clock selects a differential clock,

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  • Mathematical Physics (AREA)
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  • Automation & Control Theory (AREA)
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  • Business, Economics & Management (AREA)
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Abstract

一种基于FPGA+ARM控制的驾驶员疲劳监控系统,属于智能识别领域;该装置包括虹膜检测模块、指纹检测模块、FPGA芯片模块、通信模块、ARM芯片模块、输出控制模块;其中,虹膜检测模块包括CCD摄像机、红外发光二极管;指纹检测模块包括指纹采集电路、图像处理电路、结果输出电路;FPGA芯片模块包括FPGA主芯片和与FPGA主芯片相连接的外围电路;ARM芯片模块包括ARM主芯片和与ARM主芯片相连接的外围电路;输出控制模块包括输出控制主芯片和与输出控制主芯片相连的低电压异或门和运算放大器。而且成本低,装置简单,对改善驾驶员监控系统具有重要作用,易于实现。

Description

一种基于FPGA+ARM控制的驾驶员疲劳监控系统 技术领域
本发明涉及驾驶员疲劳监控系统,具体涉及一种基于FPGA+ARM控制的驾驶员疲劳监控系统。
背景技术
随着科技的进步和社会的发展,汽车逐渐走进了人们的日常生活,人们对汽车的需求也变得越来越高。而随着汽车的增多,对汽车驾驶员的要求也越来越严格。因此,一种驾驶员疲劳监控系统便应运而生。然而,目前市场上同类产品主要依靠人脸识别,该识别方法由于受到光照、拍摄角度、面部表情等因素的影响,识别结果会出现误差,使得识别结果不准确,不能满足人们的生产需求。
发明内容
为了解决上述问题,本发明公开一种基于FPGA+ARM控制的驾驶员疲劳监控系统,识别效果好,识别结果准确率高。
本发明的目的是这样实现的:
一种基于FPGA+ARM控制的驾驶员疲劳监控系统,通过对驾驶员眨眼次数的虹膜检测以及对驾驶员操作方向盘进行指纹检测,将两种智能检测综合分析,得出当前驾驶员的工作状态,通过实施语音播报,实现对驾驶员的疲劳监控。
一种基于FPGA+ARM控制的驾驶员疲劳监控系统,包括虹膜检测模块、指纹检测模块、FPGA芯片模块、通信模块、ARM芯片模块、输出控制模块;所述虹膜检测模块与指纹检测模块输出端与FPGA芯片模块输入端相连接,FPGA芯片模块输出端与通信模块输入端相连接,通信模块输出端与ARM芯片模块输入端相连接,ARM芯片模块输出端与输出控制模块输入端相连接;所述虹膜检测模块包括CCD摄像机、红外发光二极管,CCD摄像机输出端与红外发光二极管输入端相连接;所述指纹检测模块包括指纹采集电路、图像处理电路、结果输出电路,指纹采集电路输出端与图像处理电路输入端相连接,图像处理电路输出端与结果输出电路输入端相连接;所述FPGA芯片模块包括FPGA主芯片和与FPGA主芯片相连接的外围电路;所述通信模块包括高速数据采集卡,通过高速数据采集卡实现FPGA与ARM之间的通信;所述ARM芯片模块包 括ARM主芯片和与ARM主芯片相连接的外围电路;所述输出控制模块包括输出控制主芯片和与输出控制主芯片相连的低电压异或门和运算放大器。
所述虹膜检测模块中CCD摄像机,CCD摄像机根据光的强弱积聚相应的电荷,经过滤波、放大处理,通过摄像机的输出端子输出一个标准的复合视频信号,其像素38万,线数420线,镜头焦距1.6。
所述指纹检测模块中图像处理电路包括依次相连的指纹传感芯片器和指纹传感控制电路;所述指纹传感器为MBF200固态指纹传感器,将指纹检测模块安装在方向盘上,当手指触摸传感器时,指纹的高低不平就会在传感器阵列上产生变化的电容,从而引起二维阵列上电压的变化,将变化的电压反馈给指纹传感控制电路,根据变化的电压,指纹传感控制电路输出相对应的矩形脉冲序列。
所述FPGA芯片模块中外围电路包括第一电源电路、第一时钟电路、第一复位电路、JTAG接口电路;所述第一电源电路频率50MHz,滤波电容0.1uF,限流电阻33Ω。
所述ARM芯片模块中外围电路包括第二电源电路、第二时钟电路、第二复位电路、LCD显示电路、USB接口电路。
所述FPGA主芯片为EP2C35F484C8,具有4个锁相环PLL,分布芯片的四个角,进行合成芯片的不同频率的时钟以及时钟相位的调整;所述ARM主芯片为STM32F407IGT6,主频168MHz。
所述输出控制模块中输出控制主芯片为AD9707,低电压异或门为76VX86,运算放大器为ADA4899;所述主芯片AD9707输入时钟选择差分时钟,输出为单相输出。
本发明与现有技术相比,具有如下有益效果:根据本发明所公开的一种基于FPGA+ARM控制的驾驶员疲劳监控系统,具有虹膜识别和指纹识别双识别系统,满足多区域对驾驶员疲劳的监控,提高了识别的成功率。而且本发明成本低,装置简单,对改善驾驶员监控系统具有重要作用,易于实现。
附图说明
图1是根据本发明的实施例的一种基于FPGA+ARM控制的驾驶员疲劳监控系统的结构框图。
具体实施方式
一种基于FPGA+ARM控制的驾驶员疲劳监控系统,包括虹膜检测模块、指纹检测 模块、FPGA芯片模块、通信模块、ARM芯片模块、输出控制模块;所述虹膜检测模块与指纹检测模块输出端与FPGA芯片模块输入端相连接,FPGA芯片模块输出端与通信模块输入端相连接,通信模块输出端与ARM芯片模块输入端相连接,ARM芯片模块输出端与输出控制模块输入端相连接;所述虹膜检测模块包括CCD摄像机、红外发光二极管,CCD摄像机输出端与红外发光二极管输入端相连接;所述指纹检测模块包括指纹采集电路、图像处理电路、结果输出电路,指纹采集电路输出端与图像处理电路输入端相连接,图像处理电路输出端与结果输出电路输入端相连接;所述FPGA芯片模块包括FPGA主芯片和与FPGA主芯片相连接的外围电路;所述通信模块包括高速数据采集卡,通过高速数据采集卡实现FPGA与ARM之间的通信;所述ARM芯片模块包括ARM主芯片和与ARM主芯片相连接的外围电路;所述输出控制模块包括输出控制主芯片和与输出控制主芯片相连的低电压异或门和运算放大器。
所述虹膜检测模块中CCD摄像机,CCD摄像机根据光的强弱积聚相应的电荷,经过滤波、放大处理,通过摄像机的输出端子输出一个标准的复合视频信号,其像素38万,线数420线,镜头焦距1.6;所述指纹检测模块中图像处理电路包括依次相连的指纹传感芯片器和指纹传感控制电路;所述指纹传感器为MBF200固态指纹传感器,将指纹检测模块安装在方向盘上,当手指触摸传感器时,指纹的高低不平就会在传感器阵列上产生变化的电容,从而引起二维阵列上电压的变化,将变化的电压反馈给指纹传感控制电路,根据变化的电压,指纹传感控制电路输出相对应的矩形脉冲序列;所述FPGA芯片模块中外围电路包括第一电源电路、第一时钟电路、第一复位电路、JTAG接口电路;所述第一电源电路频率50MHz,滤波电容0.1uF,限流电阻33Ω;所述ARM芯片模块中外围电路包括第二电源电路、第二时钟电路、第二复位电路、LCD显示电路、USB接口电路;所述FPGA主芯片为EP2C35F484C8,具有4个锁相环PLL,分布芯片的四个角,进行合成芯片的不同频率的时钟以及时钟相位的调整;所述ARM主芯片为STM32F407IGT6,主频168MHz;所述输出控制模块中输出控制主芯片为AD9707,低电压异或门为76VX86,运算放大器为ADA4899;所述主芯片AD9707输入时钟选择差分时钟,输出为单相输出。

Claims (7)

  1. 一种基于FPGA+ARM控制的驾驶员疲劳监控系统,其特征在于:包括虹膜检测模块、指纹检测模块、FPGA芯片模块、通信模块、ARM芯片模块、输出控制模块;所述虹膜检测模块与指纹检测模块输出端与FPGA芯片模块输入端相连接,FPGA芯片模块输出端与通信模块输入端相连接,通信模块输出端与ARM芯片模块输入端相连接,ARM芯片模块输出端与输出控制模块输入端相连接;
    所述虹膜检测模块包括CCD摄像机、红外发光二极管,CCD摄像机输出端与红外发光二极管输入端相连接;
    所述指纹检测模块包括指纹采集电路、图像处理电路、结果输出电路,指纹采集电路输出端与图像处理电路输入端相连接,图像处理电路输出端与结果输出电路输入端相连接;
    所述FPGA芯片模块包括FPGA主芯片和与FPGA主芯片相连接的外围电路;
    所述通信模块包括高速数据采集卡,通过高速数据采集卡实现FPGA与ARM之间的通信;
    所述ARM芯片模块包括ARM主芯片和与ARM主芯片相连接的外围电路;
    所述输出控制模块包括输出控制主芯片和与输出控制主芯片相连的低电压异或门和运算放大器。
  2. 根据权利要求1所述的一种基于FPGA+ARM控制的驾驶员疲劳监控系统,其特征在于:所述虹膜检测模块中CCD摄像机的像素为38万,线数为420线,镜头焦距为1.6。
  3. 根据权利要求1所述的一种基于FPGA+ARM控制的驾驶员疲劳监控系统,其特征在于:所述指纹检测模块中图像处理电路包括依次相连的指纹传感芯片器和指纹传感控制电路;所述指纹传感器为MBF200固态指纹传感器。
  4. 根据权利要求1所述的一种基于FPGA+ARM控制的驾驶员疲劳监控系统,其特征在于:所述FPGA芯片模块中外围电路包括第一电源电路、第一时钟电路、第一复位电和JTAG接口电路。
  5. 根据权利要求1所述的一种基于FPGA+ARM控制的驾驶员疲劳监控系统,其特征在于:所述ARM芯片模块中外围电路包括第二电源电路、第二时钟电路、第二复 位电路、LCD显示电路和USB接口电路。
  6. 根据权利要求1所述的一种基于FPGA+ARM控制的驾驶员疲劳监控系统,其特征在于:所述FPGA主芯片为EP2C35F484C8;所述ARM主芯片为STM32F407IGT6。
  7. 根据权利要求1所述的一种基于FPGA+ARM控制的驾驶员疲劳监控系统,其特征在于:所述输出控制模块中输出控制主芯片为AD9707,低电压异或门为76VX86,运算放大器为ADA4899;所述主芯片AD9707输入时钟选择差分时钟,输出为单相输出。
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