Research Article
BibTex RIS Cite

Year 2021, Volume: 16 Issue: 1, 129 - 136, 15.03.2021

Yaman Akbulut Rayan Khalaf

Abstract

References

  • [1] Kaehler, A., & Bradski, G. (2016). Learning OpenCV 3: computer vision in C++ with the OpenCV library. " O'Reilly Media, Inc.".
  • [2] Szeliski, R. (2010). Computer vision: algorithms and applications. Springer Science & Business Media.
  • [3] Zafar, I., Tzanidou, G., Burton, R., Patel, N., & Araujo, L. (2018). Hands-on convolutional neural networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python. Packt Publishing Ltd.
  • [4] Stuart, J., & Norvig, P. (2010). Artificial Intelligence: a Modern Approach Prentice-Hall. In A Simon & Schuster Company Englewood Cliffs.
  • [5] Alom, M. Z., Taha, T. M., Yakopcic, C., Westberg, S., Sidike, P., Nasrin, M. S., ... & Asari, V. K. (2018). The history began from alexnet: A comprehensive survey on deep learning approaches. arXiv preprint arXiv:1803.01164.
  • [6] Runia, T. F. H. (2015). High-Speed Object Detection: Design, Study and Implementation of a Detection Framework using Channel Features and Boosting, Master Thesis.
  • [7] Ketkar, N., & Santana, E. (2017). Deep learning with python (Vol. 1). Berkeley, CA: Apress..
  • [8] 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).
  • [9] Redmon, J., & Farhadi, A. (2018). Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767.
  • [10] https://git-scm.com, access: 2 February 2020.
  • [11] https://www.cygwin.com, access: 2 February 2020.
  • [12] Redmon, J.. Darknet: Open source neural networks in c. 2013.
  • [13] Atienza, R. (2020). Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more. Packt Publishing Ltd.
  • [14] https://machinethink.net/blog/object-detection-with-yolo, access: 18 April 2020.
  • [15] Z. Zhang, P. Cui and W. Zhu, "Deep Learning on Graphs: A Survey," in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2020.2981333.
  • [16] Esteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., ... & Dean, J. (2019). A guide to deep learning in healthcare. Nature medicine, 25(1), 24-29.
  • [17] X. X. Zhu et al., "Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources," in IEEE Geoscience and Remote Sensing Magazine, vol. 5, no. 4, pp. 8-36, Dec. 2017, doi: 10.1109/MGRS.2017.2762307.
  • [18] Albawi, S., Mohammed, T. A., & Al-Zawi, S. (2017, August). Understanding of a convolutional neural network. In 2017 International Conference on Engineering and Technology (ICET) (pp. 1-6). Ieee.
  • [19] T. Guo, J. Dong, H. Li and Y. Gao, "Simple convolutional neural network on image classification," 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA), Beijing, 2017, pp. 721-724, doi: 10.1109/ICBDA.2017.8078730.
  • [20] Z. Zhao, P. Zheng, S. Xu and X. Wu, "Object Detection With Deep Learning: A Review," in IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 11, pp. 3212-3232, Nov. 2019, doi: 10.1109/TNNLS.2018.2876865.

Smart Arms Detection System Using YOLO Algorithm and OpenCV Libraries

Year 2021, Volume: 16 Issue: 1, 129 - 136, 15.03.2021

Yaman Akbulut Rayan Khalaf

Abstract

The continuous development that the world is on it must be pursued into human services, among these services provided by the modern world are the ability to detect faces, controlling and monitoring crowded places, the roads, auto-drive cars, and other smart systems that we can see it through our daily life, these systems are known by object detection systems. This branch is getting development continuously and it gets big attention and support from international institutes, military institutions, and security companies. Object detection is a big branch and is used in many industries like medical, food production, plastic industries, controlling and monitoring roads, and more. In this paper we will explain information about object detection, its types, the YOLO algorithm, and a small idea that we made for controlling and monitoring hand arms showed by monitoring cameras or images that contains hand arms, we made it using the YOLO algorithm with the help of OpenCV and python libraries.

Keywords

YOLO object detection arms detection monitoring digital

References

  • [1] Kaehler, A., & Bradski, G. (2016). Learning OpenCV 3: computer vision in C++ with the OpenCV library. " O'Reilly Media, Inc.".
  • [2] Szeliski, R. (2010). Computer vision: algorithms and applications. Springer Science & Business Media.
  • [3] Zafar, I., Tzanidou, G., Burton, R., Patel, N., & Araujo, L. (2018). Hands-on convolutional neural networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python. Packt Publishing Ltd.
  • [4] Stuart, J., & Norvig, P. (2010). Artificial Intelligence: a Modern Approach Prentice-Hall. In A Simon & Schuster Company Englewood Cliffs.
  • [5] Alom, M. Z., Taha, T. M., Yakopcic, C., Westberg, S., Sidike, P., Nasrin, M. S., ... & Asari, V. K. (2018). The history began from alexnet: A comprehensive survey on deep learning approaches. arXiv preprint arXiv:1803.01164.
  • [6] Runia, T. F. H. (2015). High-Speed Object Detection: Design, Study and Implementation of a Detection Framework using Channel Features and Boosting, Master Thesis.
  • [7] Ketkar, N., & Santana, E. (2017). Deep learning with python (Vol. 1). Berkeley, CA: Apress..
  • [8] 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).
  • [9] Redmon, J., & Farhadi, A. (2018). Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767.
  • [10] https://git-scm.com, access: 2 February 2020.
  • [11] https://www.cygwin.com, access: 2 February 2020.
  • [12] Redmon, J.. Darknet: Open source neural networks in c. 2013.
  • [13] Atienza, R. (2020). Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more. Packt Publishing Ltd.
  • [14] https://machinethink.net/blog/object-detection-with-yolo, access: 18 April 2020.
  • [15] Z. Zhang, P. Cui and W. Zhu, "Deep Learning on Graphs: A Survey," in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2020.2981333.
  • [16] Esteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., ... & Dean, J. (2019). A guide to deep learning in healthcare. Nature medicine, 25(1), 24-29.
  • [17] X. X. Zhu et al., "Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources," in IEEE Geoscience and Remote Sensing Magazine, vol. 5, no. 4, pp. 8-36, Dec. 2017, doi: 10.1109/MGRS.2017.2762307.
  • [18] Albawi, S., Mohammed, T. A., & Al-Zawi, S. (2017, August). Understanding of a convolutional neural network. In 2017 International Conference on Engineering and Technology (ICET) (pp. 1-6). Ieee.
  • [19] T. Guo, J. Dong, H. Li and Y. Gao, "Simple convolutional neural network on image classification," 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA), Beijing, 2017, pp. 721-724, doi: 10.1109/ICBDA.2017.8078730.
  • [20] Z. Zhao, P. Zheng, S. Xu and X. Wu, "Object Detection With Deep Learning: A Review," in IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 11, pp. 3212-3232, Nov. 2019, doi: 10.1109/TNNLS.2018.2876865.
There are 20 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section TJST
Authors

Yaman Akbulut 0000-0002-4760-4843

Rayan Khalaf 0000-0002-9991-8844

Publication Date March 15, 2021
Submission Date February 4, 2021
Published in Issue Year 2021 Volume: 16 Issue: 1

Cite

APA Akbulut, Y., & Khalaf, R. (2021). Smart Arms Detection System Using YOLO Algorithm and OpenCV Libraries. Turkish Journal of Science and Technology, 16(1), 129-136.
AMA Akbulut Y, Khalaf R. Smart Arms Detection System Using YOLO Algorithm and OpenCV Libraries. TJST. March 2021;16(1):129-136.
Chicago Akbulut, Yaman, and Rayan Khalaf. “Smart Arms Detection System Using YOLO Algorithm and OpenCV Libraries”. Turkish Journal of Science and Technology 16, no. 1 (March 2021): 129-36.
EndNote Akbulut Y, Khalaf R (March 1, 2021) Smart Arms Detection System Using YOLO Algorithm and OpenCV Libraries. Turkish Journal of Science and Technology 16 1 129–136.
IEEE Y. Akbulut and R. Khalaf, “Smart Arms Detection System Using YOLO Algorithm and OpenCV Libraries”, TJST, vol. 16, no. 1, pp. 129–136, 2021.
ISNAD Akbulut, Yaman - Khalaf, Rayan. “Smart Arms Detection System Using YOLO Algorithm and OpenCV Libraries”. Turkish Journal of Science and Technology 16/1 (March 2021), 129-136.
JAMA Akbulut Y, Khalaf R. Smart Arms Detection System Using YOLO Algorithm and OpenCV Libraries. TJST. 2021;16:129–136.
MLA Akbulut, Yaman and Rayan Khalaf. “Smart Arms Detection System Using YOLO Algorithm and OpenCV Libraries”. Turkish Journal of Science and Technology, vol. 16, no. 1, 2021, pp. 129-36.
Vancouver Akbulut Y, Khalaf R. Smart Arms Detection System Using YOLO Algorithm and OpenCV Libraries. TJST. 2021;16(1):129-36.
 Download Cover Image