scispace - formally typeset
Open AccessDOI

Artificial Intelligence Enabled Smart City IoT System using Edge Computing

Reads0
Chats0
TLDR
In this article, an artificial intelligence (AI) enabled smart city IoT system using edge computing is developed. And the main motivation of this project is to prevent from unexcepted pollution levels in air, water, etc., that causes harmful to the health and also to the nature.
Abstract
This research work has developed an artificial intelligence (AI) enabled smart city IoT system using Edge Computing. To take the smart decision and data processing purpose, this research work has deployed AI algorithms. The novelty in this work is, incorporation of Edge computing in IoT system, which enhances the performance of the IoT system by reducing the load on the cloud. Wi-Fi protocol is used in the network level for data transmission. Raspberry–pi is used to design edge server. The main motivation of this project is to prevent from unexcepted pollution levels in air, water, etc., that causes harmful to the health and also to the nature. So, in this smart city application includes City air management, managing the traffic and transportation, utilization of power effectively, water pollution monitoring. And this monitoring is done by different sensors like camera, gas sensor, water quality sensors, other monitoring sensors. We gather physiological data from the sensors environment and stores it in the database and analyze it to take smart decision and indicates it on the webpage and intimate that information to the through e-mail via SMTP.

read more

Citations
More filters
Proceedings ArticleDOI

Improving inference time in multi-TPU systems with profiled model segmentation

TL;DR: In this paper , a solution combining model segmentation and pipelining on up to four TPUs with remarkable performance improvements that range from 6x for neural networks with convolutional layers to 46x for fully connected layers.
Proceedings ArticleDOI

Improving inference time in multi-TPU systems with profiled model segmentation

TL;DR: In this article , a solution combining model segmentation and pipelining on up to four TPUs with remarkable performance improvements that range from 6x for neural networks with convolutional layers to 46x for fully connected layers.
References
More filters
Journal ArticleDOI

Internet of Things for Smart Cities

TL;DR: This paper will present and discuss the technical solutions and best-practice guidelines adopted in the Padova Smart City project, a proof-of-concept deployment of an IoT island in the city of Padova, Italy, performed in collaboration with the city municipality.
Proceedings ArticleDOI

Smart Energy Efficient Home Automation System Using IoT

TL;DR: Smart energy efficient home automation system is proposed that can access and control the home equipments from every corner of the world.
Proceedings ArticleDOI

A navigation and reservation based smart parking platform using genetic optimization for smart cities

TL;DR: A navigation and reservation based parking proposal system was developed for smart cities that involves the development of small devices that send data to the internet using the internet of things (IoT) technology.
Proceedings ArticleDOI

Edge computing architecture for applying AI to IoT

TL;DR: This work presents an architecture which preserves the advantages of both edge processing and server-based/cloud-centric computing for AI algorithms, and discusses how policy management can be used to improve and support this architecture.
Proceedings ArticleDOI

Application of Internet of Things and Big Data towards a Smart City

TL;DR: This work proposed a framework for brilliant city improvement in light of IoT utilizing the investigation of Huge Information and assessed the framework by proficiency in term of throughput and time for preparing.