Field programmable gate array-based (FPGA-based) fatigue driving binocular detection hardware platform

A technology for fatigue driving, hardware platform, applied in diagnostic recording/measurement, medical science, sensors, etc., can solve inconvenience; Spain and other problems, achieve the effect of improving processing speed and low power consumption

Inactive Publication Date: 2013-01-09
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006]Australia's head position measurement tracking system, in partnership with Volvo, assesses driving fatigue by measuring head position, eye closure and blinking, but it requires Some marks bring great inconvenience to drivers; Spain's Anti-Drowsiness System (Anti-Drowsiness System) measures the grip strength of hands on the steering wheel while driving. Once fatigue is detected, the lights of the car will flash continuously to remind surrounding traffic

Method used

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  • Field programmable gate array-based (FPGA-based) fatigue driving binocular detection hardware platform
  • Field programmable gate array-based (FPGA-based) fatigue driving binocular detection hardware platform
  • Field programmable gate array-based (FPGA-based) fatigue driving binocular detection hardware platform

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] see figure 1 , this FPGA-based fatigue driving binocular detection hardware platform is characterized in that: it consists of a dedicated Cyclone III development board ( ) to connect 2 cameras ( , ) composition; through the dual camera ( , ) to collect the driver’s face and eyes to determine whether the driver is in a fatigue driving state, thereby reducing traffic accidents caused by fatigue driving; the purpose of using dual cameras is to obtain the driver’s face and eyes more quickly and accurately Eye state, with Cyclone III development board ( ) in the FPGA (18) built-in dual-core processor respectively for the two cameras ( , ) to process the collected data, so as to detect whether the driver is in a fatigue driving state in real time, and the detection system has the characteristics of low power consumption and high reliability.

Embodiment 2

[0033] see Figure 1 ~ Figure 4 , the present embodiment is basically the same as Embodiment 1, and the features are as follows:

[0034] The described FPGA-based binocular detection hardware platform for fatigue driving is characterized by the Cyclone III. development board ( ) is mainly connected to an FPGA with program configuration FLASH (16), off-chip storage device (15), SDRAM (14), reset management chip (4), dial switch and key input (2), DVI interface (9), Serial port expansion (1), power interface (6), power management module (5), JTAG interface (8), AS interface (7), password protection expansion block (17), LED indication (3), SSRAM (13) and for connecting a camera ( , ) and HDR_2×20 (12) of 5V power supply and 0V ground wire; camera ( , ) is composed of image sensor chip (19), peripheral circuit (20) and lens (21), and is connected to the development board ( ).

Embodiment 3

[0036] see figure 1 , this FPGA-based binocular detection hardware platform for fatigue driving. It consists of 1 self-made FPGA development board and 2 image sensors.

[0037] (1) Development board

[0038] development board, see figure 2 .

[0039] The development board mainly includes FPGA chip (18), program configuration FLASH (16), off-chip storage device (15), SDRAM (14), reset management chip (4), dial switch and key input (5), DVI interface ( 11), VGA interface (9), serial port extension (1), power interface (6), power management module (5), JTAG interface (8), AS interface (7), password protection module (17), LED indication ( 3), SSRAM (13) and HDR_2×20 (12) for connecting the camera with 5V power supply and 0V ground wire.

[0040] (2) Development board storage unit, JTAG and AS interface

[0041] see image 3 , the off-chip storage unit of the development board is 2 pieces of 16-bit SDRAM (20), and the 2 pieces of SDRAM are connected in parallel, whi...

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Abstract

The invention relates to a field programmable gate array-based (FPGA-based) fatigue driving binocular detection hardware platform. The state of the face and the states of both eyes of a driver are acquired through double cameras to judge whether the driver is in a fatigue driving state or not, and therefore, traffic accidents brought by fatigue driving are reduced. The detection system has the characteristics of low power consumption and high reliability. The hardware platform is formed in the manner that a self-made CycloneIII development board is connected with two image sensors. The development board is a complete processor set which consists of an FPGA, a storage system and necessary peripheral circuits; a dual processor core and a storage unit are respectively realized in the FPGA; and meanwhile, the development board is provided with a power management module, a video output interface and a serial expansion. Each camera consists of three parts: an image sensor chip, a peripheral circuit and a lens, and is connected to the development board through high-dynamic range_2*20 (HDR_2*20).

Description

technical field [0001] The invention relates to an FPGA-based binocular detection hardware platform for fatigue driving. Background technique [0002] According to estimates by the (US) Federal Highway Administration, 44% of all fatal traffic accidents in the US each year are related to lane departure. According to the analysis results of the AssitWare website: 23% of car drivers fall asleep on the steering wheel at least once a month; 66% of truck drivers themselves doze off during driving; The experience of falling asleep at the wheel. One in four drivers has experienced a lane departure fatal accident. [0003] United States: Doppler radar and signal processing methods are used to obtain fatigue data such as the driver's restless emotional activities, eye blink frequency and duration, etc., to judge whether the driver is dozing off or falling asleep. The system can be made into a smaller instrument and installed above the driver's head in the cab without affecting norm...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/18
Inventor 徐美华黄舒平姚华城翁世浩孙梦威冉峰
Owner SHANGHAI UNIV
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