Artificial Intelligence System for Face Detection to Identify Passenger Identity at the Airport
DOI:
https://doi.org/10.36456/best.vol7.no1.10310Keywords:
detector, face, check in, air port, Artifical IntelligenceAbstract
Facial biometric technology is widely used in various fields such as bank security, border crossings, airport check-in, home surveillance, remote meetings in offices, prisons, and factories. This makes facial recognition an important field to study and develop. In countries like the United States and Germany, trials have begun for the implementation of Face Recognition technology in airport areas. This technology is used for airport check-in systems to address the issue of long queues, especially during holiday seasons, which is a common occurrence in airports worldwide. Although online check-in methods already exist, they still do not resolve this issue. Unfortunately, this technology has not yet been implemented or discussed for application in Indonesian airports. Therefore, the researchers intend to conduct a study on this technology to ensure that Indonesia does not fall behind other countries in facial detection technology. Based on the test results of the developed system, it can be concluded that the facial detection system is quite effective in identifying faces, but there are some limitations, such as lighting and facial accessories. The system works optimally at light intensities ranging from 806 lumens to 161 lumens, and if the person to be detected is wearing a mask or sunglasses, the system will not be able to recognize the face.
References
Akhmad Solikin (2020). Drowsy detection from video driver face based on eye and mouth features extraction using the convolution neural network method. This research was conducted in an effort to minimize traffic accidents on the road. https://doi.org/10.36456/best.vol2.no1.2584
Anwar, L. A. (2023). Efficiency, Frankfurt Airport Scans Passenger Biometric Face. Kompas.id. https://www.kompas.id/baca/internasional/2023/11/02/efisiensi-Bandar-Udara-frankfurt-pindai-biometrik-wajah-penumpang
Ardiansyah, M. I., & Ahyudanari, E. (2017). Comparison of Self Check-In Service Performance with Conventional Check-In for Citilink and AirAsia Airlines at Juanda International Airport Surabaya. Jurnal Teknik ITS, 6(2), E108–E113. https://doi.org/10.12962/J23373539.V6I2.26889
Bongga, J. D. (2009). INTERNATIONAL AIRPORT IN YOGYAKARTA.
Chung, H. Y., Hou, C. C., & Liang, S. J. (2017). Face detection and posture recognition in a real-time tracking system. 2017 IEEE International Symposium on Systems Engineering, ISSE 2017 - Proceedings. https://doi.org/10.1109/SYSENG.2017.8088265
Duan, N., Liu, L. Z., Yu, X. J., Li, Q., & Yeh, S. C. (2019). Classification of multichannel surface-electromyography signals based on convolutional neural networks. Journal of Industrial Information Integration, 15, 201–206. https://doi.org/10.1016/J.JII.2018.09.001
Fan, L., Wang, Z., Cai, B., Tao, C., Zhang, Z., Wang, Y., Li, S., Huang, F., Fu, S., & Zhang, F. (2017). A survey on multiple object tracking algorithm. 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016, 1855–1862. https://doi.org/10.1109/ICINFA.2016.7832121
Giovanni, A., Indrasari, W., & Firmansyah, H. (2023). FACE DETECTION AS A ROOM SECURITY SYSTEM. NATIONAL PHYSICS SEMINAR PROCEEDINGS (E-JOURNAL), 11. https://doi.org/10.21009/03.1101.FA06
Hastuti, D., Zukro Aini, R. S., & Musthofa, A. N. (2024). Implementation of face detection login system using Python. BEST: Journal of Applied Electrical, Science, & Technology, 6(2), 31-35. This research highlights the advantages and potential vulnerabilities of the system while proposing mitigation strategies to improve security. https://doi.org/10.36456/best.vol6.no2.9880
Hendrianto Pratomo, A., Florestyanto, Y., & Sari, N. I. (2019). Face Recognition for Employee Attendance Monitoring Using the Viola-Jones Method and Euclidean Distance. National Seminar on Communication and Informatics, 69–78. https://jurnal.kominfo.go.id/index.php/snki/article/view/2575
Huang, B., Huan, Y., Xu, L., Zheng, L., & Zou, Z. (2018). Automated trading systems statistical and machine learning methods and hardware implementation: a survey. Enterprise Information Systems, 13, 1–13. https://doi.org/10.1080/17517575.2018.1493145
Huang, C., Cai, H., Xu, L., Xu, B., Gu, Y., & Jiang, L. (2019). Data-driven ontology generation and evolution towards intelligent service in manufacturing systems. Future Generation Computer Systems, 101, 197–207. https://doi.org/10.1016/j.future.2019.05.075
Kreuzer, T., Papapetrou, P., & Zdravkovic, J. (2024). Artificial intelligence in digital twins—A systematic literature review. Data & Knowledge Engineering, 151, 102304. https://doi.org/10.1016/J.DATAK.2024.102304
Kuhlman, D. (2013). A Python Book: Beginning Python, Advanced Python, and Python Exercises. A Python Book, 1–227. http://www.davekuhlman.org
Kumar, S., Kumari, S., Patro, S., Shandilya, T., & Acharya, A. K. (2015). Adaptive visual tracking on Euclidean space using PCA. 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, 1626–1630. https://doi.org/10.1109/ICACCI.2015.7275846
Kuroki, M. (2021). Using Python and Google Colab to teach undergraduate microeconomic theory. International Review of Economics Education, 38, 100225. https://doi.org/10.1016/J.IREE.2021.100225
Lan, X., Xiong, Z., Zhang, W., Li, S., Chang, H., & Zeng, W. (2016). A super-fast online face tracking system for video surveillance. https://doi.org/10.1109/ISCAS.2016.7538968
Munawir, M., Fitria, L., & Hermansyah, M. (2020). Implementation of Face Recognition in Student Attendance Using the Haar Cascade Classifier Method. Journal of National Informatics and Network Technology, 04(02), 314–320.
Puspaningrum, E. Y., & Saputra, W. S. J. (2018). FACE DETECTION WITH BOOSTED CASCADE CLASSIFIER. Scan: Journal of Information Technology and Communication, 13(3), 15–18. https://doi.org/10.33005/SCAN.V13I3.1367
Setiawan, Bramianto, Adi Winarno, and Vina Iasha. "Immersive Virtual Reality: Unlocking Students’ Elementary School Science Literacy." Science and Education 4.9 (2023): 281-288.
Setiawan, Bramianto, and Adi Winarno. "Global Trend On Used Immersive Virtual Reality In Science Education: Bibliometric Analysis." DIKODA JURNAL PENDIDIKAN SEKOLAH DASAR 5.2 (2024): 96-106.
Shi, F., Wang, J., Shi, J., Wu, Z., Wang, Q., Tang, Z., He, K., & Shi, Y. (2020). Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19. IEEE Reviews in Biomedical Engineering, PP, 1. https://doi.org/10.1109/RBME.2020.2987975
Syafira, A. R., & Ariyanto, G. (2017). Face Detection System with Modified Viola-Jones Method. Emitor: Journal of Electrical Engineering, 17(1), 26–33. https://doi.org/10.23917/EMITOR.V17I1.5964
Varun, K. S., Puneeth, I., & Jacob, T. P. (2019). Virtual mouse implementation using open CV. Proceedings of the International Conference on Trends in Electronics and Informatics, ICOEI 2019, 435–438. https://doi.org/10.1109/ICOEI.2019.8862764
Xu, L. Da, Lu, Y., & Li, L. (2021). Embedding Blockchain Technology into IoT for Security: A Survey. IEEE Internet of Things Journal, 8(13), 10452–10473. https://doi.org/10.1109/JIOT.2021.3060508
Xu, L., Tan, W., Zhen, H., & Shen, W. (2008). An Approach to Enterprise Process Dynamic Modeling Supporting Enterprise Process Evolution. Information Systems Frontiers, 10, 611–624. https://doi.org/10.1007/s10796-008-9114-3
Yilihamu, D., Tuerxun, P., Dawut, A., & Hamdulla, A. (2020). A Real-time Face Tracking and Recognition System Based on SeetaFace. Journal of Physics: Conference Series, 1673, 012043. https://doi.org/10.1088/1742-6596/1673/1/012043
Zhang, C., & Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23, 100224. https://doi.org/10.1016/J.JII.2021.100224
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