Proceedings of the
The Nineteenth International Conference on Computational Intelligence and Security (CIS 2023)
December 1 – 4, 2023, Haikou, China
Design and Realization of Intelligent Delivery Trolley
1School of Information and Communications, Guilin University of Electronic Technology, China.
2Guilin University of Electronic Technology, Guangxi Educational Big Data and Cyberspace Security Collaborative Innovation Center, China.
ABSTRACT
During the COVID-19 pandemic, healthcare human resources have come under strain. The manual distribution of supplies has the potential to facilitate the transmission of infectious diseases through cross-infection. Moreover, traditional manual distribution methods prove to be both time-consuming and inefficient for industries such as warehousing and courier services. This study introduces an intelligent distribution trolley system that is built upon the Arduino development board. The core of this system utilizes the ATMega 2560 processor, which effectively guides the trolley from its point of origin to its designated destination and back. This guidance is made p ossible through the integration of components such as the OpenMV camera module, the infrared tracing module, and the ultrasonic sensor. Real-time auditory notifications are incorporated to relay information regarding obstacles and the operational status of the trolley du ring transit. Rigorous experimental testing validates the proficiency of this intelligent distribution trolley in tasks encompassing trajectory tracking, obstacle evasion, destination recognition, and visual identification. The system reliably accomplishes the delivery of goods to assigned destinations, subsequently returning along the initial route. This functionality significantly mitigates the risks associated with cross-infection and the depletion of human resources inherent in manual distribution methods. Furthermore, the adaptability of this intelligent distribution trolley renders it suitable for extended application within the logistics, medical services, and catering distribution sectors.
Keywords: Arduino development board, Infrared tracking, Ultrasonic obstacle avoidance, OpenMV.
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1School of Information and Communications, Guilin University of Electronic Technology, China.
2Guilin University of Electronic Technology, Guangxi Educational Big Data and Cyberspace Security Collaborative Innovation Center, China.
ABSTRACT
During the COVID-19 pandemic, healthcare human resources have come under strain. The manual distribution of supplies has the potential to facilitate the transmission of infectious diseases through cross-infection. Moreover, traditional manual distribution methods prove to be both time-consuming and inefficient for industries such as warehousing and courier services. This study introduces an intelligent distribution trolley system that is built upon the Arduino development board. The core of this system utilizes the ATMega 2560 processor, which effectively guides the trolley from its point of origin to its designated destination and back. This guidance is made p ossible through the integration of components such as the OpenMV camera module, the infrared tracing module, and the ultrasonic sensor. Real-time auditory notifications are incorporated to relay information regarding obstacles and the operational status of the trolley du ring transit. Rigorous experimental testing validates the proficiency of this intelligent distribution trolley in tasks encompassing trajectory tracking, obstacle evasion, destination recognition, and visual identification. The system reliably accomplishes the delivery of goods to assigned destinations, subsequently returning along the initial route. This functionality significantly mitigates the risks associated with cross-infection and the depletion of human resources inherent in manual distribution methods. Furthermore, the adaptability of this intelligent distribution trolley renders it suitable for extended application within the logistics, medical services, and catering distribution sectors.
Keywords: Arduino development board, Infrared tracking, Ultrasonic obstacle avoidance, OpenMV.
Download PDF