Smart Traffic Control for Emergency Vehicles Using the Internet of Things and Image Processing

2021 ◽  
pp. 53-73
Author(s):  
Sandesh Kumar Srivastava ◽  
Anshul Singh ◽  
Ruqaiya Khanam ◽  
Prashant Johri ◽  
Arya Siddhartha Gupta ◽  
...  
2011 ◽  
Vol 48-49 ◽  
pp. 1073-1076 ◽  
Author(s):  
Min Zhang ◽  
Tao Yu ◽  
Guo Fang Zhai

The paper analyzes the characteristics of an intelligent transportation system (ITS) to explore the impact on urban transport of the ideas from “the Internet of Things (IOT)” before its official appearance, and further outlook for the driving force from smart traffic guided by IOT.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shan Hua ◽  
Kaiyuan Han ◽  
Zhifu Xu ◽  
Minjie Xu ◽  
Hongbao Ye ◽  
...  

In recent years, with the continuous innovation of the Internet of Things technology, the image processing technology in the Internet of Things technology has become more and more mature. Automated pig raising will become the mainstream pig raising technology, making the research of image processing technology in the intelligent pig breeding face a change. It has become more and more important. The traditional pig raising model cannot provide a suitable growth and development environment for the pigs. The pigs are disturbed by diseases and environmental discomforts during the growth process, which increases the mortality of the pig breeding process and cannot provide consumers with a guarantee. In order to solve the problem of unfavorable factors during the growth of live pigs, this article uses image processing technology to analyze data through images obtained through automated monitoring and management, uses the system to conduct intelligent, digitized, and standardized management of pig breeding data, and reports to the corresponding. The control module issues instructions to improve the corresponding environmental information and realize the intelligent management of pig breeding. This article will use image processing technology to monitor the growth of pigs in intelligent pig breeding. Studies have shown that the use of image processing technology to realize the intelligent management of pig breeding can help pig farms to carry out manual management to improve production efficiency and management efficiency. The management mode of the pig industry has changed from fuzzy to refined. The breeding cost of pig farms and a lot of manpower and material resources should be reduced, reducing the probability of pigs getting sick and the impact of the environment, reducing the mortality of pigs, improving their economic benefits, and providing consumers with a strong guarantee.


2021 ◽  
Vol 7 ◽  
pp. e471
Author(s):  
Muhammad Umar Aftab ◽  
Ariyo Oluwasanmi ◽  
Abdullah Alharbi ◽  
Osama Sohaib ◽  
Xuyun Nie ◽  
...  

Today, the trend of the Internet of Things (IoT) is increasing through the use of smart devices, vehicular networks, and household devices with internet-based networks. Specifically, the IoT smart devices and gadgets used in government and military are crucial to operational success. Communication and data sharing between these devices have increased in several ways. Similarly, the threats of information breaches between communication channels have also surged significantly, making data security a challenging task. In this context, access control is an approach that can secure data by restricting unauthorized users. Various access control models exist that can effectively implement access control yet, and there is no single state-of-the-art model that can provide dynamicity, security, ease of administration, and rapid execution all at once. In combating this loophole, we propose a novel secure and dynamic access control (SDAC) model for the IoT networks (smart traffic control and roadside parking management). Our proposed model allows IoT devices to communicate and share information through a secure means by using wired and wireless networks (Cellular Networks or Wi-Fi). The effectiveness and efficiency of the proposed model are demonstrated using mathematical models and discussed with many example implementations.


2018 ◽  
Vol 7 (3) ◽  
pp. 1615 ◽  
Author(s):  
Gohar Rahman ◽  
Chuah Chai Wen

The internet of things originates a world where on daily basis objects can join the internet and interchange information and in addition process, store, gather them from the nearby environment, and effectively mediate on it. A remarkable number of services might be imagined by abusing the internet of things. Fog computing which is otherwise called edge computing was introduced in 2012 as a considered is a prioritized choice for the internet of things applications. As fog computing extend services of cloud near to the edge of the network and make possible computations, communications, and storage services in proximity to the end user. Fog computing cannot only provide low latency, location awareness but also enhance real-time applications, quality of services, mobility, security and privacy in the internet of things applications scenarios. In this paper, we will summarize and overview fog computing model architecture, characteristic, similar paradigm and various applications in real-time scenarios such as smart grid, traffic control system and augmented reality. Finally, security challenges are presented.


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