Automatic Copra Quality Analyser using ESP-32 Camera Module

In today’s agricultural landscape, ensuring the quality of copra remains a paramount concern for producers and consumers alike. To address this challenge, we propose a novel solution that leverages cutting-edge technology to automate the copra quality analysis process. By integrating components such as the ESP32 camera module, IR sensor, servo motor with a 3Dmodelled hand, and a conveyor belt driven by a wiper motor, our system aims to revolutionize the way copra quality is assessed. Through the seamless combination of these elements, we seek to provide a reliable, efficient, and cost-effective method for identifying and removing defective copra, ultimately enhancing overall productivity and profitability in the copra industry.

Authors

Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/icssas64001.2024.10760899
Citations
1
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automatic Copra Quality Analyser using ESP-32 Camera Module

S. Jitesh Kumar, Mahesh Mohan, J. Revathi, S. Siva Sathya et al.
1 citations
Industrial Vision Systems and Defect Detection
0.35
article

Automatic Copra Quality Analyser using ESP-32 Camera Module

S. Jitesh Kumar, Mahesh Mohan, J. Revathi, S. Siva Sathya, B Akshaya Prashath, P S Madhu Rajsri
article en
1 citations

Abstract

In today’s agricultural landscape, ensuring the quality of copra remains a paramount concern for producers and consumers alike. To address this challenge, we propose a novel solution that leverages cutting-edge technology to automate the copra quality analysis process. By integrating components such as the ESP32 camera module, IR sensor, servo motor with a 3Dmodelled hand, and a conveyor belt driven by a wiper motor, our system aims to revolutionize the way copra quality is assessed. Through the seamless combination of these elements, we seek to provide a reliable, efficient, and cost-effective method for identifying and removing defective copra, ultimately enhancing overall productivity and profitability in the copra industry.

Openalex Percentile: Top 32%
Industrial Vision Systems and Defect Detection
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.