Title: Application of digit and speech recognition in food delivery robot

Authors: Low Chun Yin; Sarah 'Atifah Saruchi; Ong Hong Tze; Chew Ying Xin; Chong Han Wei; Jonathan Lam Lit Seng

Addresses: Department of Mechanical and Mechatronic Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, 56000 Cheras, Kuala Lumpur, Malaysia ' Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia ' Department of Mechanical and Mechatronic Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, 56000 Cheras, Kuala Lumpur, Malaysia ' Department of Mechanical and Mechatronic Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, 56000 Cheras, Kuala Lumpur, Malaysia ' Department of Mechanical and Mechatronic Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, 56000 Cheras, Kuala Lumpur, Malaysia ' Department of Mechanical and Mechatronic Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, 56000 Cheras, Kuala Lumpur, Malaysia

Abstract: In COVID-19 quarantine centres, physical human interaction is limited to prevent the spread of the virus. Food delivery robots have been seen replacing humans to perform the task perfectly. However, there is a limit in the tasks that a single robot can handle. This paper designs an efficient and intelligent food delivery robot that acts as a messenger that recognises speech from patients and then humans in the background can act on them without any physical interaction. The workload on the microcontroller is greatly reduced when a task like face recognition is replaced with digit recognition as patients are tagged with numbers. The design of the robot is also modular and scalable for bigger centres, introducing the capability to expand when necessary. The future of robotic delivery relies on the efficiency and scalability of multiple systems.

Keywords: speech recognition; digit recognition; image processing; computer vision; robotics.

DOI: 10.1504/IJCVR.2023.130642

International Journal of Computational Vision and Robotics, 2023 Vol.13 No.3, pp.247 - 258

Received: 14 Dec 2021
Accepted: 14 Feb 2022
Published online: 02 May 2023 *

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