Traffic Sign Board Recognition and Voice Alert System using Convolutional Neural Network

2021 ◽  
Author(s):  
Krish Sukhani ◽  
Radha Shankarmani ◽  
Jay Shah ◽  
Krushna Shah
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Alert System ◽  
Traffic Sign

Fast Branch Convolutional Neural Network for Traffic Sign Recognition

2017 ◽  
Vol 9 (3) ◽  
pp. 114-126 ◽  
Author(s):  
Wenzheng Hu ◽  
Qing Zhuo ◽  
Changshui Zhang ◽  
Jianke Li
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Traffic Sign Recognition ◽  
Traffic Sign ◽  
Sign Recognition

scholarly journals Traffic Sign Classification Using Convolutional Neural Network

2021 ◽  
pp. 01-10
Author(s):  
Pranav Kale ◽  
Mayuresh Panchpor ◽  
Saloni Dingore ◽  
Saloni Gaikwad ◽  
Prof. Dr. Laxmi Bewoor
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Real Time ◽  
Autonomous Driving ◽  
Time Data ◽  
Traffic Sign ◽  
Real World Data ◽  
Data Set ◽  
Proposed Model ◽  
Validation Set

In today's world, deep learning fields are getting boosted with increasing speed. Lot of innovations and different algorithms are being developed. In field of computer vision, related to autonomous driving sector, traffic signs play an important role to provide real time data of an environment. Different algorithms were developed to classify these Signs. But performance still needs to improve for real time environment. Even the computational power required to train such model is high. In this paper, Convolutional Neural Network model is used to Classify Traffic Sign. The experiments are conducted on a real-world data set with images and videos captured from ordinary car driving as well as on GTSRB dataset [15] available on Kaggle. This proposed model is able to outperform previous models and resulted with accuracy of 99.6% on validation set. This idea has been granted Innovation Patent by Australian IP to Authors of this Research Paper. [24]

An efficient convolutional neural network for small traffic sign detection

2019 ◽  
Vol 97 ◽  
pp. 269-277 ◽  
Author(s):  
Shijin Song ◽  
Zhiqiang Que ◽  
Junjie Hou ◽  
Sen Du ◽  
Yuefeng Song
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Traffic Sign ◽  
Sign Detection ◽  
Traffic Sign Detection
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