An Intelligent Approach for Monitoring Social Distancing, Temperature and Detecting Face Mask for Reducing COVID Spread

Authors

  • G. Abirami Assistant Professor, Department of Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, India
  • R. Reni Hena Helan Assistant Professor, Department of Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, India
  • S. J. Vivekanandan Assistant Professor, Department of Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, India
  • Donkala Haritha Student, Department of Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, India
  • S. Nancy Student, Department of Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, India
  • R. Nalini Student, Department of Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, India

Keywords:

COVID-19, vision cascade object detector, social distancing, Arduino, Ultrasonic sensor, LM35 sensor, Resistance Temperature Detector (RTD)

Abstract

COVID- 19 contagion remains a source of concern and peril in ultra-modern times. With a huge on- the- go population and inadequate task force and coffers to administer them, manually covering social distancing norms is impossible. You need a feather light, durable, 24/7 videotape surveillance system that automates this process, as well as temperature monitoring and reporting. Crowds can be set up at musicales, rallies, marathons, colosseums, and train stations, among other places. Crowd analysis is necessary for security and surveillance, the discovery of rarities and thus the minimization of the threat of accidents, as well as the control of the alcohol position of people. This work provides a complete and practical result for people discovery, social distancing violation discovery and face mask discovery using machine literacy, temperature discovery, alcohol discovery, and crowd discovery. The system has a 91.2 percent delicacy standing.

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Published

12-06-2022

How to Cite

[1]
G. Abirami, R. R. H. Helan, S. J. Vivekanandan, D. Haritha, S. Nancy, and R. Nalini, “An Intelligent Approach for Monitoring Social Distancing, Temperature and Detecting Face Mask for Reducing COVID Spread”, IJMDES, vol. 1, no. 6, pp. 12–17, Jun. 2022.

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Articles