Full Paper View

 

Managing Social Distancing using Smart Detector

Saurabh Yadav, Pawan Singh
Research Paper | Journal Paper
Volume 1 , Issue 2 , PP 1-10

Abstract

This paper presents a methodology for social distance detection using deep learning models and algorithms such as YOLO and CNN. Deep learning is one of those technologies which have greatly enhanced the overall experience of the technology that humans use. Deep learning has brought a lot of changes from self-driven cars made by Tesla to the smallest object detection model. Deep learning, artificial intelligence, and machine learning provide a way to be able to put things to use. The purpose of this paper is to be able to implement real-time object detection to detect social distancing.

Key-Words / Index Term

Deep Learning, Machine Learning, YOLO, CNN

References

  1. Qian, Meirui, and Jianli Jiang. “COVID-19 and social distancing.” Zeitschrift fur Gesundheitswissenschaften = Journal of public health, 1-3. 25 May. 2020, doi:10.1007/s10389-020-01321-z.
  2. Sahraoui, C. A. Kerrache, A. Korichi, B. Nour, A. Adnane and R. Hussain, "DeepDist: A Deep-Learning-Based IoV Framework for Real-Time Objects and Distance Violation Detection," in IEEE Internet of Things Magazine, vol. 3, no. 3, pp. 30-34, September 2020, doi: 10.1109/IOTM.0001.2000116.
  3. A. A. Naqiyuddin, W. Mansor, N. M. Sallehuddin, M. N. S. Mohd Johari, M. A. S. Shazlan and A. N. Bakar, "Wearable Social Distancing Detection System," 2020 IEEE International RF and Microwave Conference (RFM), 2020, pp. 1-4, doi: 10.1109/RFM50841.2020.9344786. Wit, E. and McClure, J. (2004) Statistics for Microarrays: Design, Analysis, and Inference. 5th Edition, John Wiley & Sons Ltd., Chichester.
  4. Ahamad, N. Zaini and M. F. A. Latip, "Person Detection for Social Distancing and Safety Violation Alert based on Segmented ROI," 2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 2020, pp. 113-118, doi: 10.1109/ICCSCE50387.2020.9204934.Giambastiani, B.M.S. (2007) Evoluzione Idrologica ed Idrogeologica Della Pineta di san Vitale (Ravenna). Ph.D. Thesis, Bologna University, Bologna.
  5. Gupta, R. Kapil, G. Kanahasabai, S. S. Joshi and A. S. Joshi, "SD-Measure: A Social Distancing Detector," 2020 12th International Conference on Computational Intelligence and Communication Networks (CICN), 2020, pp. 306-311, doi: 10.1109/CICN49253.2020.9242628.Honeycutt, L. (1998) Communication and Design Course.
  6. Singh, P.  Singh (2020) Image Classification: A Survey. Journal of Informatics Electrical and Electronics Engineering,1(2), 2, 1-9.
  7. Singhal, P.  Singhand A.  Vidyarthi (2020) Interpretation and localization of Thorax diseases using DCNN in Chest X-Ray. Journal of Informatics Electrical and Electronics Engineering,1(1), 1, 1-7.
  8. Singh and P. Singh (2021) A Comprehensive Survey on Machine Learning. Journal of Management and Service Science,1(1),3, pp. 1-17.