Date of Publication :16th May 2017

Abstract: The aim of the project is to detect and recognize traffic signs in video sequences recorded by an onboard vehicle camera. Traffic Sign Recognition (TSR) is used to regulate traffic signs, warn a driver and command or prohibit certain actions. A fast real-time and robust automatic traffic sign detection and recognition can support and disburden the driver and significantly increase driving safety and comfort. Automatic recognition of traffic signs is also important for automated intelligent driving vehicle or driver assistance systems. This paper presents a study to recognize traffic sign patterns using openCV technique. The main objective of this paper is to demonstrate the ability of image processing algorithms on a small computing platform. Specifically we created a road sign recognition system based on an embedded system that reads and recognizes Traffic signs, requirements and also describes difficulties behind implementing a real time base system with embedded system and how to deal with diff colors using image processing techniques based on shape and dimension analysis. The paper also shows the techniques used for classification and recognition of images of traffic signs. Here color analysis plays a specifically important role in many other different applications for Traffic sign detection. Raspberry Pi is the main target for the implementation as it provides an interface between sensors, database and image processing results while also performing functions to manipulate peripherals units.

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