Machine Learning Paradigm for Internet of Things Applications

6Smart IoT-Enabled Traffic Sign Recognition With High Accuracy (TSR-HA) Using Deep Learning

Pradeep Kumar S.¹*, Jayanthi K.^1† and Selvakumari S.^2‡

¹Department of IT Department, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, India

²Department of ECE, Sri Venkateshwara College of Science and Technology, Tiruvallur, India

Abstract

Several types of signs in the road traffic available are nowadays to control the speed limits. Often, the drivers in heavy traffic failed to follow the traffic rules because of this busy world. In other points of view, the drivers may not have a clear knowledge about the traffic signs, and this causes many accidents and leads them to pay fine amounts. More or less a huge number of accidents may lead to death because of not following the traffic rules. All may have self-driving cars that mean all the passengers can completely depend on the car alone for traveling. The successful way of controlling 5 levels will leads the vehicle to understand and follow all the traffic rules. In the smart world, Artificial Intelligence (AI) development helps researchers and big companies. The toughest thing is reaching accuracy in this technique of the vehicles it interrupt with the traffic signals and able to take the decisions accordingly. In this chapter, deep neural network model is built that can classify traffic signs presented in the image into different categories with new models that able to understand the traffic signs which ...