UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 6 | June 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 11 Issue 6
June-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2406713


Registration ID:
542687

Page Number

h133-h153

Share This Article


Jetir RMS

Title

RoboSort: A system for Automated Singulation and Sorting of Parcels

Abstract

The rapid growth of e-commerce and online shopping has significantly increased the demand for efficient parcel sorting solutions in logistics and distribution centres. Traditional manual sorting methods are often time-consuming, labour-intensive, and prone to errors. “RoboSort: A System for Automated Singulation and Sorting of Parcels.” Addresses these challenges by leveraging advanced robotics, computer vision, and machine learning technologies to automate the parcel handling process. RoboSort is designed to streamline and enhance the efficiency of parcel sorting through its integrated components: robotic arms for handling parcel, computer vision systems for parcel identification and Singulation, and machine learning algorithms for accurate classification and destination sorting. The system begins by singulating grouped parcels using precise robotic manipulation guided by real- time visual data. It then employs sophisticated image recognitionand barcode scanning to identify each parcel’s characteristics and destination. The machine learning models within RoboSort analyze the collected data to determine optimal sorting paths; ensuring parcels are accurately directed to their designated outputs. This process significantly reduces manual intervention, increases throughout, and enhances sorting accuracy. Additionally, RoboSort includes robust quality control mechanism to detect and address damaged or misrouted parcels, thereby maintain high operational standards. Designed for scalability and adaptability, RoboSort can efficiently handle varying parcel volumes and evolving logistics requirements. This project demonstrates how automation and intelligent system can revolutionize the logistics industry, offering a solution that meets the growing demands of modern distribution networks. Through comprehensive testing and real- world application, RoboSort has proven its potential to optimize parcel sorting operation, leading to significant improvements in operational efficiency and cost-effectiveness.

Key Words

Cite This Article

"RoboSort: A system for Automated Singulation and Sorting of Parcels", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.h133-h153, June-2024, Available :http://www.jetir.org/papers/JETIR2406713.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"RoboSort: A system for Automated Singulation and Sorting of Parcels", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pph133-h153, June-2024, Available at : http://www.jetir.org/papers/JETIR2406713.pdf

Publication Details

Published Paper ID: JETIR2406713
Registration ID: 542687
Published In: Volume 11 | Issue 6 | Year June-2024
DOI (Digital Object Identifier):
Page No: h133-h153
Country: Pune, Mahaeashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

00055

Print This Page

Current Call For Paper

Jetir RMS