A Review to Enhance Operations in an Airport with a Deep Learning and Computer Vision Approach

被引：0

作者：

Kumaar, R. Arun ^{[1
]}

Malavika, S. ^{[1
]}

Monisha, S. ^{[1
]}

Bharani, B. Sowmiya ^{[2
]}

Devanathan, M. ^{[2
]}

机构：

[1] REVA Univ, Bengaluru, India

[2] REVA Univ, Sch Elect & Commun Engn, Bengaluru, India

来源：

SOFT COMPUTING FOR SECURITY APPLICATIONS, ICSCS 2022 | 2023年 / 1428卷

关键词：

Passenger; CNN; Smart airport; Luggage tracking; Paperless boarding;

D O I：

10.1007/978-981-19-3590-9_12

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Over a decade, the airline activities have seen a gradual increase all over the world. One of the reasons we can claim is the enhancing economy. According to International Civil Aviation Organization (ICAO), Civil Aviation Statistics and ICAO staff estimates that the number of airline travelers has increased from 2.25 billion in 2009 to 4.39 billion in 2019 globally. This increasing number of travelers calls for smart airport operations, and since there is an upsurge in utilization of deep learning and computer vision in recent years, a review has been done on how it can be utilized as for smart operations in airport.

引用

页码：145 / 153

页数：9

共 50 条

[1] Deep Learning for Computer Vision: A Brief Review
Voulodimos, Athanasios
Doulamis, Nikolaos
Doulamis, Anastasios
Protopapadakis, Eftychios
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2018, 2018
[2] Leveraging Deep Learning for Computer Vision: A Review
Alam, Ekram
Abu Sufian
Das, Akhil Kumar
Bhattacharya, Arijit
Ali, Md Firoj
Rahman, M. M. Hafizur
2021 22ND INTERNATIONAL ARAB CONFERENCE ON INFORMATION TECHNOLOGY (ACIT), 2021, : 298 - 305
[3] COMPUTER VISION BASED SURVEILLANCE CONCEPT FOR AIRPORT RAMP OPERATIONS
Vaddi, Sai
Lu, Hui-Ling
Hayashi, Miwa
2013 IEEE/AIAA 32ND DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC), 2013,
[4] Deep learning and computer vision techniques for microcirculation analysis: A review
Helmy, Maged
Truong, Trung Tuyen
Jul, Eric
Ferreira, Paulo
PATTERNS, 2023, 4 (01):
[5] A review of deep learning algorithms for computer vision systems in livestock
Oliveira, Dario Augusto Borges
Pereira, Luiz Gustavo Ribeiro
Bresolin, Tiago
Ferreira, Rafael Ehrich Pontes
Dorea, Joao Ricardo Reboucas
LIVESTOCK SCIENCE, 2021, 253
[6] Systematic Review of Emotion Detection with Computer Vision and Deep Learning
Pereira, Rafael
Mendes, Carla
Ribeiro, Jose
Ribeiro, Roberto
Miragaia, Rolando
Rodrigues, Nuno
Costa, Nuno
Pereira, Antonio
SENSORS, 2024, 24 (11)
[7] Enhancing Computer Vision Performance: A Hybrid Deep Learning Approach with CNNs and Vision Transformers
Sardar, Abha Singh
Ranjan, Vivek
COMPUTER VISION AND IMAGE PROCESSING, CVIP 2023, PT II, 2024, 2010 : 591 - 602
[8] Construction Site Safety Management: A Computer Vision and Deep Learning Approach
Lee, Jaekyu
Lee, Sangyub
SENSORS, 2023, 23 (02)
[9] NOVEL DEEP LEARNING COMPUTER VISION APPROACH FOR DRUG SENSITIVITY PREDICTION
Sanford, Tom
Railkar, Reema
Harmon, Stephanie
Xu, Sheng
Wood, Brad
Choyke, Peter
Turkbey, Baris
Agarwal, Piyush
JOURNAL OF UROLOGY, 2019, 201 (04): : E814 - E814
[10] Computer vision and deep learning in insects for food and feed production: A review
Nawoya, Sarah
Ssemakula, Frank
Akol, Roseline
Geissmann, Quentin
Karstoft, Henrik
Bjerge, Kim
Mwikirize, Cosmas
Katumba, Andrew
Gebreyesus, Grum
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 216

← 1 2 3 4 5 →