Year: 2025
Type: article
Abstract: The integration of image processing technologies with cloud computing has significantly transformed operations across various industries, including aviation. In the airline industry, this convergence enables real-time analysis, enhanced scalability, and cost-efficient processing of visual data. Applications range from automated baggage handling and facial recognition for passenger identification, to aircraft maintenance through visual inspections using drones and AI-based diagnostics. Cloud-based platforms allow for centralized data storage and computing power, facilitating collaboration and streamlined workflows across geographically distributed teams. This paper explores the critical roles of image processing in airline operations and how cloud computing amplifies its impact, improving efficiency, safety, and customer experience. The study also discusses current trends, challenges, and future prospects in the adoption of these technologies within the aviation sector.
Authors: Sireesha Kolla, Srujan Ganta
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411385126