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AUTOHAUS: An Optimized Framework for Secure and Efficient Parking

AUTOHAUS: An Optimized Framework for Secure and Efficient Parking

Shanu Sharma (Department of Computer Science and Engineering, ABES Engineering College, India), Tushar Chand Kapoor (Department of Computer Science and Engineering, ASET, Amity University, Noida, India), Misha Kakkar (Department of Computer Science and Engineering, ASET, Amity University, Noida, India), and Rishi Kumar (Universiti Teknologi Petronas, Malaysia)
Copyright: © 2023 |Pages: 24
DOI: 10.4018/978-1-6684-4991-2.ch007
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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.
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Background

Vehicle parking is one of the major issues, Indian cities are currently facing. Due to the rapidly expanding population, more cars are added continuously in the restricted public areas, and thus the majority of Indian cities are facing traffic congestion and parking-related issues. Developing an advanced and optimized parking system is always a key issue among researchers and developers. With the advancement and incorporation of new technologies, developers are trying to develop more advanced methods to solve parking issues more effectively.

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