IoT Based Smart Assist System to Monitor Entertainment Spots Occupancy and COVID 19 Screening During the Pandemic

Area of Science:

• Computer Science
• Public Health
• Electrical Engineering

Background:

• The COVID-19 pandemic necessitates strict adherence to public health protocols.
• Public spaces like entertainment venues often see non-compliance with occupancy and safety measures.
• Effective monitoring systems are crucial for controlling disease transmission in crowded areas.

Purpose of the Study:

• To develop and implement an Internet of Things (IoT) based smart system for real-time monitoring of public entertainment spots.
• To automatically screen individuals for COVID-19 safety protocol violations, including mask-wearing and elevated body temperature.
• To provide remote monitoring capabilities for authorities to manage and restrict virus spread.

Main Methods:

• The system utilizes a Raspberry Pi 3B+ processor for computation.
• Passive Infrared Sensors and a Pi camera are employed for occupancy monitoring and mask detection.
• An MLX90614 Infrared temperature sensor is integrated for non-contact temperature screening.
• The system is programmed using Python, with data uploaded to the cloud for remote access.

Main Results:

• The proposed system effectively monitors occupancy in entertainment venues.
• It successfully screens individuals for mask compliance and elevated body temperatures.
• Cloud-based data facilitates remote monitoring by authorities, enabling timely intervention.

Conclusions:

• The IoT-based smart system offers a viable solution for enforcing COVID-19 protocols in public entertainment settings.
• Automated screening and remote monitoring enhance the ability to control disease spread.
• This technology can significantly contribute to public safety and pandemic management efforts.