Vehicle Lane Assist with Raspberry Pi |
Author(s): |
| Mr. S. J. Patil , D.K.T.E.S. Textile and Engineering Institute, Ichalkaranji.; Kaustubh N. Bapat, D.K.T.E.S. Textile and Engineering Institute, Ichalkaranji.; Harshada G. Hanabar, D.K.T.E.S. Textile and Engineering Institute, Ichalkaranji.; Trupti A. Kadam, D.K.T.E.S. Textile and Engineering Institute, Ichalkaranji.; Aishwarya R. Nalawade, D.K.T.E.S. Textile and Engineering Institute, Ichalkaranji. |
Keywords: |
| OpenCV, Web camera, Image Processing, Lane Detection, Lane Departure, Hough Transform, Canny Edge Detection |
Abstract |
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The project Vehicle Lane Assist with Raspberry Pi can help in minimizing the accidents by alerting driver. Vehicle lane assist with raspberry pi will notify driver when the vehicle begins to move out from the current lane without the indicator turn on. This system is designed to prevent accidents due to driver inattention and drowsiness. The components which are used in the project are web camera, LED and buzzer. All these components are interfaced with Raspberry Pi that can support image processing software with interfacing of all components. The web camera will capture the image of road, convert image into grey image and detect the lanes by using image processing such as segmentation, Hough transformation and Canny edge detection algorithm. It will detect the lane and check for the condition where the vehicle is running in the lane or not. When vehicle departs from the lane the system will generate and alert such as LED indication and buzzer. If driver change the lane intentionally then driver will press the reset button and again the system will wait for a next alert. |
Other Details |
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Paper ID: IJSRDV7I21142 Published in: Volume : 7, Issue : 2 Publication Date: 01/05/2019 Page(s): 1229-1231 |
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