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COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks.

Sharnil Pandya1, Anirban Sur1, Nitin Solke1

  • 1Symbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune, India.

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Summary

This study introduces a smart facemask and thermal scanning kiosk using deep learning and sensor fusion. The system detects individuals without masks or with elevated temperatures, enhancing public health safety.

Keywords:
COVID-19YOLOv4auto-face mask detectionauto-thermal scanningbody temperaturedeep learningnovel corona virussensor-fusion

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Public Health Technology

Background:

  • The COVID-19 pandemic highlighted the need for advanced screening technologies.
  • Traditional temperature checks and mask mandates can be inefficient and prone to human error.
  • Integrating AI with sensor technology offers a scalable solution for infectious disease control.

Purpose of the Study:

  • To develop and validate a deep learning and sensor-fusion based system for automated mask detection and thermal scanning.
  • To create an assistive technology that enhances individual and public health safety.
  • To provide real-time alerts for security personnel regarding non-compliance with health protocols.

Main Methods:

  • Utilized deep learning algorithms for automatic face mask detection.
  • Employed sensor fusion technology combining cameras and thermal sensors for body temperature monitoring.
  • Integrated an intelligent algorithm for real-time data processing and cloud storage (Google Firebase).

Main Results:

  • The system accurately detects individuals with or without masks.
  • Real-time thermal scanning identifies body temperatures exceeding the standard threshold (98.6°F/37°C).
  • Notifications and alarms are triggered for non-compliant individuals, alerting security personnel.

Conclusions:

  • The smart facemask and thermal scanning system effectively validates performance for public health screening.
  • The technology aids in preventing the spread of infectious diseases like coronavirus by ensuring compliance.
  • This system saves time and enhances security awareness in public spaces.