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On line detection of drowsiness using brain and visual information
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On line detection of drowsiness using brain and visual information

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For more projects visit @ www.nanocdac.com

For more projects visit @ www.nanocdac.com

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  • 1. ON-LINE DETECTION OF DROWSINESS USINGBRAIN ANDVISUAL INFORMATIONAIM:The main aim the project is to design “ON-LINE DETECTION OFDROWSINESS USING BRAIN AND VISUAL INFORMATION”.ABSTRACT:The on line detection of drowsiness using brain and visual information is tomonitor the driver attentiveness in cars.Our project is to monitor the driver’s eye movement and brain activity byusing webcam and EEG channel respectively.Our Embedded project is to design and develop a low cost feature which isbased on embedded platform for finding the driver drowsiness. Specifically, ourEmbedded System includes a webcam placed on the steering column which iscapable to capture the eye movements and EEG placed at the forehead of theDriver to find out the brain activity. If the driver is not paying attention on theroad ahead and a dangerous situation is detected, the system will warn the driverby giving the warning sounds.Our Embedded System uses ARM9 32-bit micro controller has a feature ofimage processing technique as well as Analog to Digital Conversion. Imagewww.nanocdac.com www.nsrcnano.com branches: hyderabad nagpur
  • 2. processing is any form of signal processing for which the input is an image, suchas a photograph or video frame; the output of image processing may be either animage or a set of characteristics or parameters related to the image. Analog toDigital Conversion is the technique to convert the signals such as analog signalscoming from the EEG and convert it into digital signals.Our Embedded System is going to use S3C2440 based micro controller toprocess the brain and visual information of driver.BLOCK DIAGRAM:www.nanocdac.com www.nsrcnano.com branches: hyderabad nagpur
  • 3. IMPLEMENTATION:OPERATING SYSTEM: Linux .www.nanocdac.com www.nsrcnano.com branches: hyderabad nagpurS3C2440(ARM9)REGULATEDPOWER SUPPLYUSB DEVICEWEBCAMALARMEEG
  • 4. TARGET DEVICE: S3C2440 (Friendly ARM).APPLICATION LANGUAGE: ‘C’/ ‘C++’DRIVERS: USB Drivers.APPLICATIONS: Used to give warning sounds for driver drowsiness.ADVANTAGES: Low cost, easy to implement and low power consumptionand controlling is done by using web technology.REFERENCE:1. The 8051 micro controller and embedded systems by Mazidi2. Datasheets and user manual of ARM9.www.nanocdac.com www.nsrcnano.com branches: hyderabad nagpur