Automatic oil palm unstripped bunch (USB) counting system based on faster RCNN and object tracking

Wahyu, Sapto Aji and Kamarul Hawari, Ghazali and Son Ali, Akbar (2021) Automatic oil palm unstripped bunch (USB) counting system based on faster RCNN and object tracking. In: 2nd International Conference on Computer Science and Engineering: The Effects of the Digital World After Pandemic (EDWAP), IC2SE 2021. 2nd International Conference on Computer Science and Engineering, IC2SE 2021 , 16 - 18 November 2021 , Padang, Indonesia. pp. 1-5.. ISBN 978-166540045-9

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Abstract

USB Palm Oil Counting (Unstripped Bunch) is important in oil palm processing mills. Information on the number of USBs is essential because it shows the level of efficiency of the palm oil processing plant. Due to its complexity, palm oil mills rely solely on manual calculations, which is inefficient workforce waste. Challenging aspects such as partial occlusion, overlap, and even different perspectives limit the use of traditional computer vision techniques. In recent years, deep learning has become increasingly popular for computer vision applications due to its superior performance over conventional methods. This paper proposes a deep learning solution to solve USB computing problems in palm oil mills. Our proposed automated USB counter system consists of an object detector built on the RCNN Faster architecture and an object tracker made in the euclidean distance. Our proposed system identifies and counts USBs with an average accuracy of 71.5% in testing.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Automatic; Unstripped bunch; Counting; Faster RCNN; Object; Tracker
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	18 Jul 2024 02:53
Last Modified:	18 Jul 2024 02:53
URI:	http://umpir.ump.edu.my/id/eprint/41993
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