The Cloud-Based Design of Unmanned Constant Temperature Food Delivery Trolley in the Context of Artificial Intelligence

Shuying Dai; Jiajing Dai; Yuqiang Zhong; Taiyu Zuo; Yuhong Mo

doi:10.5281/zenodo.10866092

Authors

Shuying Dai Indian Institute of Technology Guwahati
Jiajing Dai Guangzhou Panyu Polytechnic
Yuqiang Zhong Henan Agricultural University
Taiyu Zuo Hunan University of Arts and Science
Yuhong Mo Carnegie Mellon University

DOI:

https://doi.org/10.5281/zenodo.10866092

References:

12

Keywords:

Obstacle Avoidance Mechanism, Navigation Mechanism, Artificial Intelligence Technology, Fully Automatic, Artificial Intelligence, Automated Driving, Facial Recognition, Radar Sensing

Abstract

This article pertains to an unmanned food delivery trolley, equipped with a transmission system, an obstacle avoidance mechanism, a data acquisition and processing module, a navigation and positioning system, a motion control unit, a hot and cold storage unit, and a facial recognition technology. The trolley's microprocessor, housed within the data acquisition and processing module, drives the radar and camera via a serial port connection circuit, with the host computer utilized to represent the trolley's field position. Unmanned food delivery trolleys contribute to enhancing the efficiency of the takeaway industry by reducing labor and time costs. As artificial intelligence develops rapidly, the pace of innovation in logistics is also accelerating.

Author Biographies

Shuying Dai, Indian Institute of Technology Guwahati

Graduated from a college in China with associate degree, now studying at Indian Institute of Technology Guwahati for Bachelor of Science in Data Science and Artificial Intelligence.

Jiajing Dai, Guangzhou Panyu Polytechnic

Currently studying Internet of Things Technology at Guangzhou Panyu Polytechnic.

Yuqiang Zhong, Henan Agricultural University

Born in February 2002,male,born in Meizhou, Guangdong. He is studying in Henan Agricultural University majoring in Information and Computational Science .His research interests include artificial intelligence, data mining, machine learning, and financial technology. He has expertise in data analytics, machine learning.

Taiyu Zuo, Hunan University of Arts and Science

Taiyu Zuo graduated from Hunan University of Arts and Science with a Bachelor’s degree in Internet of Things Engineering and has extensive industry experience. His research interests primarily focus on big data analytics, cloud computing, and the Internet of Things. In practical projects, he has proposed numerous innovative solutions.

Yuhong Mo, Carnegie Mellon University

Born in September 1998, Yu Hong Mo hails from Guangzhou, Guangdong. He holds a Master's degree in Electrical and Computer Engineering from Carnegie Mellon University and currently serves as a Software Engineer. His primary areas of research encompass distributed systems, artificial intelligence, machine learning, and medical data processing.

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