Prototype Manufacture of the Arjuno Autobost Covid-19 Robot
Purpose: The study presents the design and development of the Arjuno Autobost, a temperature-detecting robot created to aid in the prevention of COVID-19 spread by assisting in health screening and sanitation tasks. This robot was developed to automate processes that were traditionally carried out by multiple people, thus reducing the workload of human workers while ensuring safety protocols are maintained in public spaces.
Research Methodology: The Arjuno Autobost robot was developed using an Arduino-based system, which includes components like a temperature sensor, hand sanitizer dispenser, and an audible alarm. The design focuses on ensuring the robot can automatically detect temperatures and administer hand sanitizer. The development process was conducted over several months, despite challenges posed by large-scale restrictions.
Results: The robot successfully detects the temperature of individuals and alerts them with a sound if the temperature exceeds 37.8°C. If the temperature is within normal limits, the robot proceeds to dispense hand sanitizer. This automated system significantly reduces human effort and increases efficiency in public health management.
Conclusions: The Arjuno Autobost robot demonstrates a practical and effective solution for enhancing public health safety, particularly during pandemics. It combines technology and automation to streamline the process of temperature checking and sanitization. The robot not only mitigates human error but also supports the reduction of infection transmission.
Limitations: The study faced challenges due to the large-scale restrictions caused by the COVID-19 pandemic, which impacted the production and testing process. Future improvements can include better integration of AI for more accurate detection and interaction capabilities, along with a broader range of health checks.
Contributions: This research contributes to the development of a new class of autonomous robots designed for public health applications. The findings offer valuable insights into the integration of robotics with public health efforts, presenting a replicable model for other regions dealing with similar health crises.
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