3D Reconstruction of Fruit Shape based on Vision and Edge Sections

Nasr Abdalmanan Nasr Ali (Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Kampus Alam Pauh Putra, 02600 Arau, Perlis, Malaysia.)
Kamarulzaman Kamarudin (Universiti Malaysia Perlis)
Chee Kiang Lam (Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Kampus Alam Pauh Putra, 02600 Arau, Perlis, Malaysia.)
Muhamad Safwan Muhamad Azmi (Faculty of Mechanical Engineering Technology, Universiti Malaysia Perlis, Kampus Alam Pauh Putra, 02600 Arau, Perlis, Malaysia.)
Abdul Halim Ismail (Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Kampus Alam Pauh Putra, 02600 Arau, Perlis, Malaysia.)
Norasmadi Abdul Rahim (Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Kampus Alam Pauh Putra, 02600 Arau, Perlis, Malaysia)
Wan Mohd Nooriman Wan Yahya (Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Kampus Alam Pauh Putra, 02600 Arau, Perlis, Malaysia.)
Goh Kheng Sneah (Walta Engineering Sdn. Bhd., 13600 Prai, Pulau Pinang, Malaysia.)
Moey Lip Seng (Walta Engineering Sdn. Bhd., 13600 Prai, Pulau Pinang, Malaysia.)
Teoh Phaik Hai (Walta Engineering Sdn. Bhd., 13600 Prai, Pulau Pinang, Malaysia.)
Ong Thean Lye (Walta Engineering Sdn. Bhd., 13600 Prai, Pulau Pinang, Malaysia.)
Noor Zafira Noor Hasnan (Department of Process and Food Engineering, Faculty of Engineering, Universiti Putra Malay.)

Article ID: 4585

Abstract


The fruit industry has been known as one of the largest businesses in Malaysia, where most of the fruits pass through the peeling process well in advance before the final product as juice in a bottle or slices in a can. The current industrial fruit peeling techniques are passive and inefficient by cutting parts of the pulp of the fruit with peels leading to losses. To avoid this issue, a multi-axis CNC fruit peeler can be used to precisely peel the outer layer with the guidance of a 3D virtual model of fruit. In this work, a new cost-effective method of 3D image reconstruction was developed to convert 36 fruit images captured by a normal RGB camera to a 3D model by capturing a single image every 10 degrees of fruit rotation along a fixed axis. The point cloud data extracted with edge detection were passed to Blender 3D software for meshing in different approaches. The vertical link frame meshing method developed in this research proved a qualitative similarity between the output result and the scanned fruit in a processing time of less than 50 seconds.


Keywords


3D Reconstruction; Machine vision; Fruit processing

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References


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DOI: https://doi.org/10.30564/jeisr.v4i1.4585

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