Idle Vehicle Detection and Traffic Symbol Analysis using Artificial Intelligence and IoT

2019 ◽  
Vol 1 (2) ◽  
pp. 73-78
Author(s):  
Arun Kumar K ◽  
Ashwin D ◽  
Surendar M ◽  
Manju Parkavi N ◽  
Banumathi P ◽  
...  

The emerging development in smart vehicles has improved transportation seamlessly. This paper deals with incorporating the modern technologies like Artificial Intelligence and Internet of Things(IoT) with the traditional transportation system. It states how AI algorithms can be integrated with IoT powered vehicles to manage and avoid crashing with idle vehicles on a speedway and assists for safer driving using the traffic symbol analysis to reduce accidents. Several communication standards for data transmission between the vehicle and control system has been stated. It also provides additional features like emergency or assistance for vehicles in speedway. It uses complex learning and analysis algorithms to improve the efficiency of driving and reduce rear-end collisions. This paper hence gives a comprehensive survey of the enabling technologies, protocols, and architecture for IoT powered transport.

2013 ◽  
Vol 773 ◽  
pp. 148-153 ◽  
Author(s):  
Juan Zhou ◽  
Bing Yan Chen ◽  
Meng Ni Zhang ◽  
Ying Ying Tang

Aiming at the management problem of real-time data created while intelligent solar street lamps working, sectional data acquisition and control system based on internet of things is introduced in the paper. Communication protocol with unified form and flexible function is designed in the system, and communication address is composed of sectional address and subsection address. Three-level data structure is built in the polling algorithm to trace real-time state of lamps and to detect malfunction in time, which is suitable for sectional lamps management characteristics. The system reflects necessary statistic data and exception information to remote control centre through GPRS to short interval expend on transmission and procession and save network flow and system energy. The result shows the system brings improved management affection and accords with the idea of energy-saving and environmental protection.


2015 ◽  
Vol 738-739 ◽  
pp. 233-237 ◽  
Author(s):  
Jun Zhu ◽  
Xiao Jia ◽  
Xiao Qing Mei

A set of smart home control system based on Internet of Things is proposed due to the rapid development of smart home. This paper designs a system platform which people can use to make a remote query and control the home applications. Constrained Application Protocol is utilized in the communication between terminal devices which have limited memory and low calculation efficiency. The system has the characteristics of smart sensor, reliable transmission and intelligent processing. With the devices connected to the Internet, the results show that the system runs steadily so that it can provide the basis for further research of smart home.


2019 ◽  
pp. 44-47
Author(s):  
M.-B. I. Tebuev ◽  
T.-B. I. Tebuev ◽  
V. A. Shpenst

The article presents a solution for data transmission via electrotechnical communication lines, based on the testing of capacitive and inductive connection devices. The article contains information about modern systems for monitoring and control of technological equipment in the mine, for communication, alarm, monitoring and alerts. The principles and features of the Power Line Communications system are described. The relevance of the introduction of PLC technology in the control system of hard structures is described.


Author(s):  
Yuriy Kondratenko ◽  
Oleksandr Gerasin ◽  
Oleksiy Kozlov ◽  
Andriy Topalov ◽  
Bogdan Kilimanov

The article presents the main stages of the development of remote control system for the inspection mobile robot operating on inclined ferromagnetic surfaces. The mobile robot remains on the surface and moves along working areas using separate clamping permanent magnets and caterpillars. The focus is on the control system’s architecture and remote data transmission based on Internet of Things technologies. Features of non-expensive Arduino Uno and WeMos D1 R2 mini microcontrolled development boards, cloud service Blynk, as well as multi-tab Android application interactions are revealed at the inspection mobile robot movement on the inclined surface. Experimental results of the proposed system show a good compatibility of chosen hardware, user-friendly human-machine interface and high mobility for future research of modern control algorithms at Internet of Things approach implementation for the extreme robotics.


2021 ◽  
Author(s):  
Jehad Ali ◽  
Byeong-hee Roh

Separating data and control planes by Software-Defined Networking (SDN) not only handles networks centrally and smartly. However, through implementing innovative protocols by centralized controllers, it also contributes flexibility to computer networks. The Internet-of-Things (IoT) and the implementation of 5G have increased the number of heterogeneous connected devices, creating a huge amount of data. Hence, the incorporation of Artificial Intelligence (AI) and Machine Learning is significant. Thanks to SDN controllers, which are programmable and versatile enough to incorporate machine learning algorithms to handle the underlying networks while keeping the network abstracted from controller applications. In this chapter, a software-defined networking management system powered by AI (SDNMS-PAI) is proposed for end-to-end (E2E) heterogeneous networks. By applying artificial intelligence to the controller, we will demonstrate this regarding E2E resource management. SDNMS-PAI provides an architecture with a global view of the underlying network and manages the E2E heterogeneous networks with AI learning.


Sign in / Sign up

Export Citation Format

Share Document