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AUTOHAUS: An Optimized Framework for Secure and Efficient Parking
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Author(s): 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
Source title:
Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things
Source Author(s)/Editor(s): Divya Upadhyay Mishra (ABES Engineering College, Ghaziabad, India)and Shanu Sharma (ABES Engineering College, Ghaziabad, India)
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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