Book chapter
On the Integration of AI and IoT Systems: A Case Study of Airport Smart Parking
Artificial Intelligence-based Internet of Things Systems, pp.419-444
Internet of Things, Springer International Publishing
01/01/2022
Metrics
162 Record Views
Abstract
Integration of artificial intelligence (AI), Internet of Things (IoT) and Cloud computing technologies in a unified system to address a real-world problem is challenging and of high demand. This chapter discusses the processes, challenges and solutions concerning designing an airport smart parking system. IoT parking sensors, Open Automatic License Plate Recognition (OpenALPR) library, and the IBM cloud-based IoT platform are integrated to tackle technical challenges, including the automatic identification of plate numbers, models, and colours of vehicles in parking spaces, in both indoor and outdoor parking environments. The chapter also addresses several issues related to the system, i.e., the system architecture design, the selection of sensing technologies and hardware and software platforms, while taking into account specific characteristics of IoT and AI technologies. Although the proposed system is developed for the airport smart parking problem, the discussion is relevant to problems in other domains from the system design and integration perspectives.
Details
- Title
- On the Integration of AI and IoT Systems: A Case Study of Airport Smart Parking
- Creators
- Vinh Bui - Southern Cross UniversityAlireza Alaei - Southern Cross UniversityMinh Bui - University of Queensland
- Contributors
- Souvik Pal (Editor)Debashis De (Editor)Rajkumar Buyya (Editor)
- Publication Details
- Artificial Intelligence-based Internet of Things Systems, pp.419-444
- Series
- Internet of Things
- Publisher
- Springer International Publishing; Cham
- Identifiers
- 991013009497002368
- Academic Unit
- Information Technology; Faculty of Science and Engineering
- Language
- English
- Resource Type
- Book chapter