AUTOHAUS-Reference-Cited by-同舟云学术

AUTOHAUS

Published:2022-09-23 Issue: Volume: Page:136-159
ISSN:2327-0411
Container-title:Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things
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Author:

Sharma Shanu¹^ORCID,Kapoor Tushar Chand²,Kakkar Misha²^ORCID,Kumar Rishi³

Affiliation:

1. Department of Computer Science and Engineering, ABES Engineering College, India

2. Department of Computer Science and Engineering, ASET, Amity University, Noida, India

3. Universiti Teknologi Petronas, Malaysia

Abstract

In this chapter, an optimized parking framework, AUTOHAUS, is presented that focuses on three aspects (i.e., automation, security, and efficient management of parking space). A combination of advanced technologies is used to design the proposed framework. AUTOHAUS provides two ways of security implementation such as authorized QR codes and OTPs (one-time passwords). Furthermore, for efficient management of parking spaces, the still images of the front and side view of the car are used to extract the license plate and size of the car for effective allotment of parking space based on the size of the car. This proposed system can reduce human effort to a great extent and can also be used as a path-breaking technique in parking and storage management.

Publisher

IGI Global

Reference19 articles.

1. QR code based authentication method for IoT applications using three security layers

2. A Computational Approach to Edge Detection

3. Smart parking systems: comprehensive review based on various aspects

4. Design and Realization of Internet of Things Based on Embedded System Used in Intelligent Campus

5. Understanding Smart and Automated Parking Technology