Mechatronics System Design for Automated Chilli Segregation
K. Akila1, B. Sabitha2, K. Balamurugan3, K. Balaji4, T. Ashwin Gourav5
1K. Akila, Faculty, Department of Mechatronics Engineering, Kumaraguru College of Technology, Coimbatore (TamilNadu), India.
2B. Sabitha, Faculty, Department of Mechatronics Engineering, Kumaraguru College of Technology, Coimbatore (TamilNadu), India.
3K. Balamurugan, UG student, Department of Mechatronics Engineering, Kumaraguru College of Technology, Coimbatore (TamilNadu), India.
4K. Balaji, UG student, Department of Mechatronics Engineering, Kumaraguru College of Technology, Coimbatore (TamilNadu), India.
5T. Ashwin Gourav, UG student, Department of Mechatronics Engineering, Kumaraguru College of Technology, Coimbatore (TamilNadu), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript Published on 19 June 2019 | PP: 546-550 | Volume-8 Issue-8S June 2019 | Retrieval Number: H10910688S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Robotics and automation are leading humanity to a new era. Sustainability and growth are being met in the industrial sectors due to automation. The same automation can do miracles in agriculture to increase productivity. Machine vision is a primordial element in enabling the complete automation. This paper discusses about the design and development of an automated system that utilizes machine vision for chilli segregation. The image of the chilli is captured by a camera and the ripeness is found by analyzing it in a machine vision software following which it is sorted into being ripe and unripe. This process of automation in the agriculture will reduce manpower for segregation process during the harvest time. Implementing at a larger scale can be profitable. This method can also be tailored for sorting other vegetables like tomato, lemon, and other fruits and vegetables based on ripeness.
Keywords: Machine Vision is a Primordial Element in Enabling the Complete Automation.
Scope of the Article: Agricultural Informatics and Communication