IoT enabled smart bus for COVID-19.

Area of Science:

• Engineering
• Computer Science
• Public Health

Background:

• Public transportation systems face challenges in maintaining safety and health protocols.
• Effective monitoring of passenger density and individual health indicators is crucial for preventing disease spread and ensuring security.

Purpose of the Study:

• To develop an integrated system for real-time monitoring of passenger temperature and identity in public transportation.
• To enhance safety measures by preventing unauthorized access and providing timely alerts for emergencies.

Main Methods:

• Utilized Radio Frequency Identification (RFID) tags for individual identification.
• Integrated temperature sensors and RFID readers with Arduino for data acquisition.
• Implemented Global System for Mobile Communication (GSM) for alert dissemination and Global Positioning System (GPS) for location tracking.
• Leveraged the Internet of Things (IoT) for system control and cloud servers for data storage.

Main Results:

• The system successfully monitors passenger count and temperature, preventing entry if temperature exceeds thresholds.
• Emergency alerts for fire, breakdown, or accidents are sent to relevant authorities (hospitals, fire services).
• Real-time bus location tracking is provided via GPS.

Conclusions:

• The developed system offers a robust solution for enhancing safety and health compliance in public transportation.
• The modular design allows for adaptable implementation in other public spaces like theaters and shopping malls.
• This technology contributes to proactive risk management and improved public safety infrastructure.