Computer vision-based parking lot management methods have been extensively
researched upon owing to their flexibility and cost-effectiveness. To evaluate such methods …

Today's modern world has seen massive population growth in the past few decades,
causing the automobile industry to expand rapidly. The exponential increase has disrupted …

The rapid advancement in the field of deep learning and high performance computing has
highly augmented the scope of video-based vehicle counting system. In this paper, the …

Traffic congestion is one of the major issues of urban cities. The conventional techniques
used usually to control traffic via different types of sensors are less precise and expensive …

Street lighting is a fundamental aspect of security systems in homes, industrial facilities, and
public places. To detect parking lot occupancy in outdoor environments, street light control …

As an essential part of the steel structure, looseness of bolted joint greatly affects the
integrity of the structure; however, there is a lack of technologies to detect the multibolt …

The integration of mobile and ubiquitous computing with deep learning methods is a
promising emerging trend that aims at moving the processing task closer to the data source …

This paper presents a novel solution to automatically count vehicles in a parking lot using
images captured by smart cameras. Unlike most of the literature on this task, which focuses …

Convolutional Neural Networks have produced state-of-the-art results for a multitude of
computer vision tasks under supervised learning. However, the crux of these methods is the …

This research developed a smart parking system through video data analysis using deep
learning techniques that automatically determine the availability of vacant parking spaces …