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 PDFInfo
- Publication number
- 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
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- fpga
- circuit
- arm
- chip
- output
- Prior art date
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 22
- 238000001514 detection method Methods 0.000 claims abstract description 33
- 238000004891 communication Methods 0.000 claims abstract description 16
- 230000002093 peripheral effect Effects 0.000 claims abstract description 14
- 238000012545 processing Methods 0.000 claims abstract description 13
- 230000003321 amplification Effects 0.000 description 2
- 239000003990 capacitor Substances 0.000 description 2
- 239000002131 composite material Substances 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 238000001208 nuclear magnetic resonance pulse sequence Methods 0.000 description 2
- 238000003199 nucleic acid amplification method Methods 0.000 description 2
- 229920000729 poly(L-lysine) polymer Polymers 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000008921 facial expression Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W40/00—Estimation 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
- B60W40/08—Estimation 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W2540/00—Input parameters relating to occupants
- B60W2540/043—Identity of occupants
Definitions
- 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,
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Mechanical Engineering (AREA)
- Mathematical Physics (AREA)
- Transportation (AREA)
- Automation & Control Theory (AREA)
- Human Computer Interaction (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Ophthalmology & Optometry (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Image Input (AREA)
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
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。
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。
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。
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)
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020187037926A KR20200049428A (ko) | 2018-10-23 | 2018-10-23 | Fpga+arm 제어를 기반으로 한 운전자 피로 감시제어 시스템 |
PCT/CN2018/111472 WO2020082242A1 (zh) | 2018-10-23 | 2018-10-23 | 一种基于fpga+arm控制的驾驶员疲劳监控系统 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2018/111472 WO2020082242A1 (zh) | 2018-10-23 | 2018-10-23 | 一种基于fpga+arm控制的驾驶员疲劳监控系统 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2020082242A1 true WO2020082242A1 (zh) | 2020-04-30 |
Family
ID=70330264
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2018/111472 WO2020082242A1 (zh) | 2018-10-23 | 2018-10-23 | 一种基于fpga+arm控制的驾驶员疲劳监控系统 |
Country Status (2)
Country | Link |
---|---|
KR (1) | KR20200049428A (zh) |
WO (1) | WO2020082242A1 (zh) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115107653A (zh) * | 2022-07-29 | 2022-09-27 | 山东浪潮科学研究院有限公司 | 基于fpga的电子后视镜系统 |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113139519B (zh) * | 2021-05-14 | 2023-12-22 | 陕西科技大学 | 一种基于全可编程片上系统的目标检测系统 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101174336A (zh) * | 2006-07-13 | 2008-05-07 | 北京思远地科技有限公司 | 一种用于机动车工作时间监控的计时器及监控方法 |
CN104537806A (zh) * | 2014-11-11 | 2015-04-22 | 奇瑞汽车股份有限公司 | 一种基于摄像头的疲劳驾驶实时检测系统 |
CN104881956A (zh) * | 2015-06-17 | 2015-09-02 | 上海大学 | 一种疲劳驾驶预警系统 |
US20150296135A1 (en) * | 2014-04-10 | 2015-10-15 | Magna Electronics Inc. | Vehicle vision system with driver monitoring |
CN107139721A (zh) * | 2017-05-11 | 2017-09-08 | 济南浪潮高新科技投资发展有限公司 | 一种车载安全驾驶系统 |
US9932000B2 (en) * | 2016-01-06 | 2018-04-03 | Fujitsu Limited | Information notification apparatus and information notification method |
-
2018
- 2018-10-23 KR KR1020187037926A patent/KR20200049428A/ko not_active Application Discontinuation
- 2018-10-23 WO PCT/CN2018/111472 patent/WO2020082242A1/zh active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101174336A (zh) * | 2006-07-13 | 2008-05-07 | 北京思远地科技有限公司 | 一种用于机动车工作时间监控的计时器及监控方法 |
US20150296135A1 (en) * | 2014-04-10 | 2015-10-15 | Magna Electronics Inc. | Vehicle vision system with driver monitoring |
CN104537806A (zh) * | 2014-11-11 | 2015-04-22 | 奇瑞汽车股份有限公司 | 一种基于摄像头的疲劳驾驶实时检测系统 |
CN104881956A (zh) * | 2015-06-17 | 2015-09-02 | 上海大学 | 一种疲劳驾驶预警系统 |
US9932000B2 (en) * | 2016-01-06 | 2018-04-03 | Fujitsu Limited | Information notification apparatus and information notification method |
CN107139721A (zh) * | 2017-05-11 | 2017-09-08 | 济南浪潮高新科技投资发展有限公司 | 一种车载安全驾驶系统 |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115107653A (zh) * | 2022-07-29 | 2022-09-27 | 山东浪潮科学研究院有限公司 | 基于fpga的电子后视镜系统 |
Also Published As
Publication number | Publication date |
---|---|
KR20200049428A (ko) | 2020-05-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2020082242A1 (zh) | 一种基于fpga+arm控制的驾驶员疲劳监控系统 | |
CN206907046U (zh) | 一种光学指纹识别模块 | |
WO2016050035A1 (zh) | 指纹检测电路及其电容式指纹传感器、移动终端 | |
CN103366657B (zh) | Flicker调节系统 | |
DE102014002416A1 (de) | Kalibrierung einer 3D-Kamera | |
CN106484113A (zh) | 屏幕唤醒装置和方法 | |
TW202213061A (zh) | 電容式指紋感測裝置 | |
CN110411483A (zh) | 新型大尺寸传感阵列的读出电路及其传感器阵列 | |
CN205566480U (zh) | 一种图像信号拾取系统 | |
CN207150724U (zh) | 智能型ccd图像传感器片上系统 | |
CN106326813B (zh) | 一种智能变频3d指纹传感器 | |
CN207652564U (zh) | 一种基于fpga的非制冷红外热成像系统 | |
CN201689437U (zh) | 矩阵型平面红外光源的人脸识别装置 | |
CN106404185A (zh) | 凝视型数字化红外成像组件 | |
CN110781871A (zh) | 一种虹膜识别装置以及识别方法 | |
CN104083167B (zh) | 用于显示人体经络图像的对比方法 | |
CN203444497U (zh) | 一种手指静脉与指纹采集一体化装置 | |
CN201467279U (zh) | 一种视频摄像头 | |
CN205942726U (zh) | 一种智能相机 | |
CN206584376U (zh) | 具有信息反馈功能的多区域协同身份核准装置 | |
CN211698883U (zh) | 一种基于fpga的手势识别控制开关装置 | |
CN204652522U (zh) | 一种摄像头动态切换电路结构 | |
CN208888840U (zh) | 图像目标检测设备 | |
CN103293837A (zh) | 转速信号产生模块、投影装置及其色轮转速控制方法 | |
CN207184713U (zh) | 一体化红外光学超分辨率成像仪 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 18937542 Country of ref document: EP Kind code of ref document: A1 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 18937542 Country of ref document: EP Kind code of ref document: A1 |