Research Article
Year 2023,
Volume: 13 Issue: 1, 22 - 32, 01.03.2023
Abstract
The impact of Covid 19 cases is increasing worldwide due to not complying with social distancing and mask-wearing rules in congested areas such as hospitals, schools, and malls where people have to be together. Although the authorities have taken various precautions to prevent not wearing masks, it is challenging to inspect masks in crowded areas. People who do not wear masks can be unnoticed by visual inspections, which is a critical factor in the increase of the epidemic. This study aims to create an Artificial Intelligence (AI) based mask inspection system with the YOLO V7 deep learning method to ensure that overcrowded public areas are protected from the Covid-19 epidemic.
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Year 2023,
Volume: 13 Issue: 1, 22 - 32, 01.03.2023
Abstract
Hastane, okul, alışveriş merkezi gibi insanların bir arada olması gereken kalabalık alanlarda sosyal mesafe ve maske takma kurallarına uyulmaması nedeniyle dünya genelinde Covid 19 vakalarının etkisi artıyor. Yetkililer her ne kadar maske takılmamasını engellemek için çeşitli önlemler alsalar da kalabalık ortamlarda maske denetlemesi güç olmaktadır. İnsan eli ile yapılan denetimlerde maske takmayan kişiler gözden kaçabilmekte olup bu durum salgının artışında önemli bir etken olmaktadır. Bu çalışmanın amacı yoğun insan trafiğinin olduğu kalabalık ortamlarda insanların Covid-19 salgınından korunmalarını sağlamak için son teknolojik algoritma olan YOLO
References
- Chen X, Zhang C, Dong F, Zhou Z, (2013). Parallelization of elastic bunch graph matching (EBGM) algorithm for fast face recognition. In 2013 IEEE China Summit and International Conference on Signal and Information Processing (pp. 201-205). IEEE.
- Egi, Y., Hajyzadeh, M., & Eyceyurt, E. (2022). Drone-Computer Communication Based Tomato Generative Organ Counting Model Using YOLO V5 and Deep-Sort. Agriculture, 12(9), 1290.
- Egi, Y., Eyceyurt, E. (2022). Classified 3D mapping and deep learning-aided signal power estimation architecture for the deployment of wireless communication systems. J Wireless Com Network 2022, 107. https://doi.org/10.1186/s13638-022-02188-2
- Eyceyurt E, Egi Y, Zec J, (2022). Machine-Learning-Based Uplink Throughput Prediction from Physical Layer Measurements. Electronics, 11(8), 1227.
- Feuerriegel S, Shrestha YR, von Krogh G, Zhang C (2022). Bringing artificial intelligence to business management. Nature Machine Intelligence, 4(7), 611-613.
- Hussain M, Al-Aqrabi H, Munawar M, Hill R, Alsboui T, (2022). Domain Feature Mapping with YOLOv7 for Automated Edge-Based Pallet Racking Inspections. Sensors, 22(18), 6927.
- Jana S, Thangam S, Selvaganesan S, (2022). Gender Identification Using Ensemble Linear Discriminant Analysis Algorithm Based on Facial Features. In Machine Learning and Autonomous Systems (pp. 23-35). Springer, Singapore.
- Kalangi RR, Maloji S, Sundar PS, Ahammad SH, (2022). Deployment of Haar Cascade Algorithm to Detect Real-Time Faces. In 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (pp. 1676-1680). IEEE.
- Karaman, A., Karaboga, D., Pacal, I. et al. (2022). Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection. Appl Intell. https://doi.org/10.1007/s10489-022-04299-1
- Liao M, Liu H, Wang X, Hu X, Huang Y, Liu X, Lu JR, (2021). A technical review of face mask wearing in preventing respiratory COVID-19 transmission. Current Opinion in Colloid & Interface Science, 52, 101417.
- Liu C, Wechsler H, (2000). Evolutionary pursuit and its application to face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(6), 570-582.
- Make ML, Mask Dataset, Link:https://www.kaggle.com/code/nageshsingh/mask-and-social-distancing-detection-using-vgg19/data Accessed: 10/10/2022. Murshid SH, Chowdhury B, Eyceyurt E, Alanzi SF, (2017). Experimental verification of two spatially multiplexed 10Gbps channels in single core multimode fibers for data center applications. In Frontiers in Optics (pp. JW4A-59). Optical Society of America.
- Onyeogulu T, Islam A, Khan S, Teeti I, Cuzzolin F, (2022). Situation Awareness for Automated Surgical Check-listing in AI-Assisted Operating Room. arXiv preprint arXiv:2209.05056.
- Pacal, I., Karaman, A., Karaboga, D., Akay, B., Basturk, A., Nalbantoglu, U., & Coskun, S. (2022). An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets. Computers in biology and medicine, 141, 105031.
- Pacal, İ. (2022). Deep Learning Approaches for Classification of Breast Cancer in Ultrasound (US) Images. Journal of the Institute of Science and Technology, 12 (4) , 1917-1927 . DOI: 10.21597/jist.1183679
- Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016). You only look once: Unified, real-time object detection. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 779-788).
- Sharma, D. Y. K., & Pradeep, S. (2019). Deep Learning based Real Time Object Recognition for Security in Air Defense. Proceedings of the 13th INDIACom, New Delhi, India, 13-15.
- Shihab MA, Al-Dabagh MZ N, jawad kadhim Alrubaie A, Al-Yoonus M, Ghazal M, (2022). Face Recognition System Using Independent Components Analysis and Support Vector Neural Network Classifier. In ITM Web of Conferences (Vol. 42). EDP Sciences.
- Srinivas, Y., Raj, A. S., Oliver, D. H., Muthuraj, D., & Chandrasekar, N. (2012). A robust behavior of Feed Forward Back propagation algorithm of Artificial Neural Networks in the application of vertical electrical sounding data inversion. Geoscience Frontiers, 3(5), 729-736.
- Wang CY, Bochkovskiy A, Liao HYM, (2022). YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. arXiv preprint arXiv:2207.02696.
- Wang Y, Wu Q, (2022). Research on Face Recognition Technology Based on PCA and SVM. In 2022 7th International Conference on Big Data Analytics (ICBDA) (pp. 248-252). IEEE.
There are 21 citations in total.
Details
| Primary Language | English |
|---|---|
| Subjects | Computer Software, Electrical Engineering |
| Journal Section | Bilgisayar Mühendisliği / Computer Engineering |
| Authors | |
| Early Pub Date | February 24, 2023 |
| Publication Date | March 1, 2023 |
| Submission Date | January 27, 2023 |
| Acceptance Date | February 10, 2023 |
| Published in Issue | Year 2023 Volume: 13 Issue: 1 |
