TY  - JOUR
T1  - An AI Powered Computer Vision Application for Airport CCTV Users
AU  - Atlıoğlu, Mehmet Cemal
AU  - Koç, Gökhan
PY  - 2021
DA  - July
JF  - Data Science and Applications
JO  - DataSCI
PB  - Sakarya Uygulamalı Bilimler Üniversitesi
WT  - DergiPark
SN  - 2717-6649
SP  - 21
EP  - 26
VL  - 4
IS  - 1
LA  - en
AB  - Investments in aviation were experiencing difficult times due to the Covid-19 pandemic, and poverty drives the industry to generate value with existing products. Therefore, technology providers modernize legacy systems with AI add-ons like the usage of old CCTV cameras for securities operations even if they are not designed for these purposes [1].  In this study, the detection of objects such as people, luggage, and vehicles are executed and tested for the aviation ecosystem with a real-time computer vision application built on existing CCTV cameras. Also, the detection performance measurements and achievements of the application are shared.
KW  - artificial intelligence
KW  - machine learning
KW  - deep
learning
KW  - human detection
KW  - airport
KW  - security
KW  - CNN
KW  - CCTV
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UR  - https://dergipark.org.tr/tr/pub/datasci/article/1662120
L1  - https://dergipark.org.tr/tr/download/article-file/4709754
ER  -