@article{article_1662120, title={An AI Powered Computer Vision Application for Airport CCTV Users}, journal={Data Science and Applications}, volume={4}, pages={21–26}, year={2021}, url={https://izlik.org/JA84WF87NN}, author={Atlıoğlu, Mehmet Cemal and Koç, Gökhan}, keywords={artificial intelligence, machine learning, deep learning, human detection, airport, security, CNN, CCTV}, abstract={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.}, number={1}