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An AI Powered Computer Vision Application for Airport CCTV Users

Cilt: 4 Sayı: 1 1 Temmuz 2021
Mehmet Cemal Atlıoğlu *, Gökhan Koç
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An AI Powered Computer Vision Application for Airport CCTV Users

Öz

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.

Anahtar Kelimeler

artificial intelligence, machine learning, deep learning, human detection, airport, security, CNN, CCTV

Kaynakça

  1. Milne, R. J., Delcea, C., Cotfas, L. A., & Ioanăş, C. (2020). Evaluation of boarding methods adapted for social distancing when using apron buses. IEEE Access, 8, 151650-151667.
  2. Zou, Z., Shi, Z., Guo, Y., & Ye, J. (2019). Object detection in 20 years: A survey. arXiv preprint arXiv:1905.05055.
  3. Felzenszwalb, P., McAllester, D., & Ramanan, D. (2008, June). A discriminatively trained, multiscale, deformable part model. In 2008 IEEE conference on computer vision and pattern recognition (pp. 1-8). IEEE.
  4. Viola, P., & Jones, M. (2001, December). Rapid object detection using a boosted cascade of simple features. In Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition. CVPR 2001 (Vol. 1, pp. I-I). IEEE.
  5. Viola, P., & Jones, M. J. (2004). Robust real-time face detection. International journal of computer vision, 57(2), 137-154.
  6. Dalal, N., & Triggs, B. (2005, June). Histograms of oriented gradients for human detection. In 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05) (Vol. 1, pp. 886-893). Ieee.
  7. Girshick, R. B. (2012). From rigid templates to grammars: Object detection with structured models. Chicago, IL, USA: University of Chicago, Division of the Physical Sciences, Department of Computer Science.
  8. Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems, 25, 1097-1105.
  9. Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2014). Rich feature hierarchies for accurate object detection and semantic segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 580-587).
  10. Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2015). Region-based convolutional networks for accurate object detection and segmentation. IEEE transactions on pattern analysis and machine intelligence, 38(1), 142-158.

Kaynak Göster

APA
Atlıoğlu, M. C., & Koç, G. (2021). An AI Powered Computer Vision Application for Airport CCTV Users. Data Science and Applications, 4(1), 21-26. https://izlik.org/JA84WF87NN
AMA
1.Atlıoğlu MC, Koç G. An AI Powered Computer Vision Application for Airport CCTV Users. DataSCI. 2021;4(1):21-26. https://izlik.org/JA84WF87NN
Chicago
Atlıoğlu, Mehmet Cemal, ve Gökhan Koç. 2021. “An AI Powered Computer Vision Application for Airport CCTV Users”. Data Science and Applications 4 (1): 21-26. https://izlik.org/JA84WF87NN.
EndNote
Atlıoğlu MC, Koç G (01 Temmuz 2021) An AI Powered Computer Vision Application for Airport CCTV Users. Data Science and Applications 4 1 21–26.
IEEE
[1]M. C. Atlıoğlu ve G. Koç, “An AI Powered Computer Vision Application for Airport CCTV Users”, DataSCI, c. 4, sy 1, ss. 21–26, Tem. 2021, [çevrimiçi]. Erişim adresi: https://izlik.org/JA84WF87NN
ISNAD
Atlıoğlu, Mehmet Cemal - Koç, Gökhan. “An AI Powered Computer Vision Application for Airport CCTV Users”. Data Science and Applications 4/1 (01 Temmuz 2021): 21-26. https://izlik.org/JA84WF87NN.
JAMA
1.Atlıoğlu MC, Koç G. An AI Powered Computer Vision Application for Airport CCTV Users. DataSCI. 2021;4:21–26.
MLA
Atlıoğlu, Mehmet Cemal, ve Gökhan Koç. “An AI Powered Computer Vision Application for Airport CCTV Users”. Data Science and Applications, c. 4, sy 1, Temmuz 2021, ss. 21-26, https://izlik.org/JA84WF87NN.
Vancouver
1.Mehmet Cemal Atlıoğlu, Gökhan Koç. An AI Powered Computer Vision Application for Airport CCTV Users. DataSCI [Internet]. 01 Temmuz 2021;4(1):21-6. Erişim adresi: https://izlik.org/JA84WF87NN