Machine Vision based automated 3-DOF Articulated Robot for fruit defect Identification and Segregation-Reference-Cited by-同舟云学术

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Machine Vision based automated 3-DOF Articulated Robot for fruit defect Identification and Segregation

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
language:
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Author:

S Ramkumar¹,Venusamy Kanagaraj²,A Eswaran¹,Jeevitha N.³,Ramyapriya G.³,Kannadhasan S.⁴

Affiliation:

1. Rajalakshmi Engineering College,Department of Robotics and Automation,Chennai,India

2. Rajalakshmi Engineering College,Department of Mechatronics Engineering,Chennai,India

3. Roever Engineering College,Department of Electrical and Electronics Engineering,Perambalur,India

4. Study World College of Engineering,Department of Electronics and Communication Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10307578.pdf?arnumber=10307578

Reference16 articles.

1. Embedded Color Segregation using Arduino

2. Aerial Imagery Paddy Seedlings Inspection Using Deep Learning

3. Classifying fabric defects with evolving Inception v3 by improved L_2,1-norm regularized extreme learning machine

4. Pulmonary Image Classification Based on Inception-v3 Transfer Learning Model

5. Classification and Identification of Primitive Kharif Crops using Supervised Deep Convolutional Networks

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