Embedded System Prototype to Fight Covid-19 Pandemic Contamination with Less Cost

Area of Science:

• Embedded Systems Engineering
• Public Health Technology
• Sensor Fusion

Background:

• The COVID-19 pandemic highlighted the critical need for effective sterilization methods to prevent disease transmission.
• Contact with contaminated surfaces poses a significant risk of infection, necessitating touchless solutions.

Purpose of the Study:

• To develop an embedded system prototype for contactless dispensing of sterilization products.
• To enhance system reliability and performance through advanced sensor data processing.

Main Methods:

• Utilized HC-SR04 and LM35 sensors for human hand detection.
• Implemented a Kalman filter algorithm to stabilize sensor data and mitigate noise.
• Integrated the system on an Arduino board for prototype development and testing.

Main Results:

• Successfully developed a functional prototype for contactless dispensing.
• Demonstrated stable and reliable hand detection using the Kalman filter.
• Conducted a comprehensive cost analysis of the developed system.

Conclusions:

• The developed embedded system offers an efficient and stable solution for contactless sterilization product dispensing.
• The prototype provides a cost-effective approach to enhance hygiene and reduce infection transmission risks.