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Traffic Sign Classification Using Convolutional Neural Networks and Computer Vision

Anuraag Velamati Et.al

Year
2021
Citations
12
Access
Open access

Abstract

The world is quickly and continuously advancing towards better technological advancements that will make life quite easier for us, human beings [22]. Humans are looking for more interactive and advanced ways to improve their learning. One such dream is making a machine think like a computer, which lead to innovations like AI and deep learning [25]. The world is running at a higher pace in the domain of AI, deep learning, robotics and machine learning Using this knowledge and technology, we could develop anything right now [36]. As a part of sub-domain, the introduction of Convolution Neural Networks made deep learning extensively strong in the domain of image classification and detection [1]..The research that we have conducted is one of its kind. Our research used Convolution Neural Network, TensorFlow and Keras.

Keywords

Artificial intelligenceDeep learningConvolutional neural networkComputer sciencePaceDomain (mathematical analysis)Machine learningArtificial neural networkRoboticsConvolution (computer science)

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