10th Annual International Conference on Industrial Engineering and Operations Management

Improving Parcel Sorting System by Utilizing OCR, ASR, and Robot Arm

Abdulrahman Alharbi, Othman Sonbol, Hasan Zeyaauddin & Mohammed Al-Nazawi
Publisher: IEOM Society International
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Track: Artificial Intelligence
Abstract

In this project paper, the authors are going to utilize and use the knowledge, techniques, and skills of the industrial engineering department courses that can be applied to design and implement an automated parcel sorting system that utilizes OCR (Optical Characteristic Recognition), ASR (Automatic Speech Recognition), and robot arm. The Authors are aiming to improve the productivity and the efficiency of the sorting process and provide an economic and ergonomic system. Also, the Authors are going to improve the recognition accuracy since the OCR work very well with flat objects, but the performance decreases and the error rate increases with the parcels (due to curvature). The Authors are going to combine between the OCR and the ASR to improve the accuracy. In addition, in order to reduce the high cost of manual workers the Authors are going to utilize a robot arm, which is faster, efficient, and functional.

Published in: 10th Annual International Conference on Industrial Engineering and Operations Management, Dubai, United Arab Emirates

Publisher: IEOM Society International
Date of Conference: March 10-12, 2020

ISBN: 978-1-5323-5952-1
ISSN/E-ISSN: 2169-8767