A short review on vision-based object grasping automation with QR code

Teoh, Mooi Khee and Tan, Soo Fun and Yoong, Hou Pin (2021) A short review on vision-based object grasping automation with QR code. Transactions on Science and Technology, 8 (3). pp. 512-518. ISSN 2289-8786

[img] Text
A short review on vision-based object grasping automation with QR code.pdf
Restricted to Registered users only
Download (462kB) | Request a copy
[img] Text
A short review on vision-based object grasping automation with QR code _ABSTRACT.pdf
Download (60kB)

Abstract

Rapid development in technologies has improved our quality of life at the same time application of automation into daily activities is becoming an imperative. The online order-picking system is foreseen to be a new normal of life and thus this paper reviews various past researches with related technologies. Few topics mainly on the vision-based grasping automation and monocular vision system using QR code as labels or markers is reviewed. The application of different types of grasping automation in variety field is studied and it shows that an Eye In Hand (EIH) type grasping automation, which the camera sensor is placed together with the robot arm's end, is suitable to be applied into an order-picking system. Thereafter, the monocular vision-based system is also reviewed. Studies found that monocular system is an effective method with low cost and easy installation process. Besides, monocular vision-based automation can operate at high accuracy and efficiency, with the aid of artificial markers such as QR code. QR code technology has been widely applied including products identification, item tracing, and manufacturing management. Additionally, QR codes can be used as markers for picking and packaging products in warehouse. However, limited research is observed using vision-based grasping automation system with QR code markers. Thus, a new research direction of monocular vision-based grasping automation using QR code is expected and suggestive.

Item Type: Article
Keyword: Robotics , Object grasping , Machine vision , QR code , Artificial landmark , Pick-cart
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ1-1570 Mechanical engineering and machinery
Department: FACULTY > Faculty of Computing and Informatics
Depositing User: SAFRUDIN BIN DARUN -
Date Deposited: 15 Jun 2022 10:47
Last Modified: 15 Jun 2022 10:47
URI: https://eprints.ums.edu.my/id/eprint/32781

Actions (login required)

View Item View Item