Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

The impact of the maximally possible batch size (for the better runtime) on performance of
graphic processing units (GPU) and tensor processing units (TPU) during training and …

Millions of people lose their lives each year worldwide due to traffic law violations,
specifically, over speeding. The existing systems fail to report most of such violations due to …

Automatic vehicle monitoring has turned out to be a very crucial scenario in the current
years. It may develop into possibility by executing the following technologies. This project …

Thanks to technological advancements, now have a number of options for obtaining traffic
data. Yet, the precision with which various technologies measure drivers' actual speeds …

Message drop** by intermediate nodes as well as RF jamming attack have been studied
widely in ad hoc networks. In this paper, we thoroughly investigate a new type of attack in …

The high rate of vehicle theft and the loss of lives occasioned by drunk driving has caused
irreparable losses to people and businesses, from a personal, commercial and reputation …

This paper introduces a novel conceptual foundation for Social Set Analysis, the Social
Interaction Model. It contributes to the state-of-the-art theory in Big Social Data by extending …

In this paper we propose a low-cost Driver Monitoring System (DMS) designed to reduce
accidents caused by drunkenness and sleepiness and to enhance road safety. The main …

This paper proposes an effective approach for real-time monitoring and detection of drink-
driving and over-speeding on South Africa (SA) roads using technologies of vehicular …