On the Integration of AI and IoT Systems: A Case Study of Airport Smart Parking.

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.     «

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 au...     »