accident prevention and collision avoidance
Ranjith.S ,M.Tech,Vinodh kumar.S,Yuvaraj.S
Published in International Journal of Advanced Research in Electronics, Communication & Instrumentation Engineering and Development
ISSN: 2347 -7210 Impact Factor:1.9 Volume:3 Issue:1 Year: 09 April,2021 Pages:541-552
Abstract
In the time of road way travelling the peoples can suffering on many accidents for driver’s carelessness to detectthe road signs. Instead of avoid these problems we have designed the automatic road sign recognition system using raspberry pi processor. The system can help the driver to detect the road signs and automatically reduce the vehicle’s speed. This system also increasing the passenger safety during travelling time. For avoiding rash driving of the drivers and from accidents, the system has designed with the help of two main controllers Raspberry pi and PIC microcontroller. The Digital image processing takes major place in a road sign recognition system. The system reads and recognizes the speed signs using image processing techniques based on shape and dimension analysis. During night time travels the system can easily identified the road signs by colour shape detection. Raspberry pi processor provides an interface between sensors, database and image processing results.Apart from this an another unit i.e. the PIC controller unit gives a major play to the vehicle by controlling the small signaling parts, which may cause to an major issue in future for example puncher of tires, headlight failures etc. To avoid these issues while driving, the indication of tire pressure is done displayed in the screen and the headlight dimming is controlled by the use of LDR sensor. As well as, in addition to this system have added the control of motors through ultrasonic sensors which are very helpful to avoid accidents and it maintains a gentlemen distance to the fronted vehicles. Hence through this, the performance of the vehicle is controlled automatically according to the situation .
Kewords
Open CV, road sign recognition, raspberry pi , LDR sensor, Ultrasonic sensor
Reference
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