Implementation of Traffic Sign Detection and Recognition based on Raspberry Pi without Machine Learning

Abstract

Traffic sign detection and recognition is an important feature in autonomous driving and reducing accidents by assisting the driver. This paper proposes an algorithm that will detect the traffic signs and identify them using different image processing methods, such as, threshold techniques, Gaussian blurring, masking, Contours parameters, etc. For the evaluation purpose of this method, a USB webcam and a raspberry pi have been used. The webcam is connected with the raspberry pi. The video is analyzed frame by frame and the algorithm is applied to each frame for detection and classification purposes. Python programming language and OpenCV library have been used in this paper as software.