Designing an Intelligent Parcel Management System using IoT - Machine Learning - Two-Phase Scanning and Sorting

Aug 5, 2026

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Parcel delivery in railways requires accurate verification and destination-based sorting with minimal human involvement. The study proposes a fully integrated IoT and machine learning solution to support trains in performing these tasks efficiently through two phases: scanning and sorting. During scanning, parcels pass through multiple scanners to detect explosives, drugs, and dangerous materials, discarding items that fail tests. After scanning, parcels move to sorting, using QR codes to retrieve parcel details and route them correctly. System simulation is conducted with Blender, showing improved accuracy and evaluation of modern techniques.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages6

Reading Time15 min

AccessFree to download

Introduction

Problem motivation and current challenges

Proposed IoT and ML approach overview

Two-phase workflow: scanning then sorting

Scanning phase design

Multi-sensor/detector checks for dangerous materials

Sorting phase design

QR code based parcel identification and routing

Simulation and evaluation

Blender-based system simulation

Designing an Intelligent Parcel Management System using IoT & Machine Learning Mohit Gupta∗ , Nitesh Garg†, Jai Garg‡, Vansh Gupta§ , and Devraj Gautam¶ Electronics and Communication Engineering Department, Dr. Akhilesh Das Gupta Institute of Technology & Management, New Delhi, India ∗ [guptamohit1504@gmail.com](guptamohit1504@gmail.com),†[nitesh.garg049@gmail.com](nitesh.garg049@gmail.com),‡[jaigarg2@gmail.com](jaigarg2@gmail.com),§[vgvansh25@gmail.com](vgvansh25@gmail.com), ¶ [devrajgautam10@gmail.com](devrajgautam10@gmail.com) arXiv :2404 . 11661v1 [ cs .CY] 17 Apr 2024 Abstract—Parcels delivery is a critical activity in railways. More importantly, each parcel must be thoroughly checked and sorted according to its destination address. We require an efficient and robust IoT system capable of doing all of these tasks with great precision and minimal human interaction. This paper discusses, We created a fully-fledged solution using IoTand machine learning to assist trains in performing this operation efficiently. In this study, we covered the product, which consists mostly of two phases. Scanning is the first step, followed by sorting. During the scanning process, the parcel will be passed through three scanners that will look for explosives, drugs, and any dangerous materials in the parcel and will trash it if any of the tests fail. When the scanning step is over, the parcel moveson to the sorting phase, where we use Qr codes to retrieve the details of the parcels and sort them properly. The simulation of the system is done using the blender software. Our research shows that our procedure significantly improves accuracy as well as the assessment of cutting-edge technology and existing techniques. Index Terms—IOT, Machine Learning, Image Processing, Scanning, Sorting I. INTRODUCTION Today’s as the population increases, more and more people uses transports like railways, and flights. They carry their luggage and for the safety purposes all the peoples and their luggage needs to be passed through a safety check which checks for any dangerous or explosive material in the luggage. There are scanners, but still, many police officers or security professionals are assigned to manually checks for each of the luggage to check for any dangerous or explosive materials in the luggage. People have to wait there for checking in, which becomes the one of the main reason of crowds at these stations. The Indian railway network is the world’s third biggest. The railway industry is known as one of the largest railway networks under single control, thanks to the government’s concentrated attention and investments in strengthening infrastructure. Aside from transporting over 10,000 people everyday, over 7,000 freight trains transport over three million metric tonnes of freight per day. The average freight charge per metric tonne across the country in fiscal year 2020 was 1.58 Indian rupees per kilometre. Revenue throughout the sector has steadily increased throughout the years. In fiscal year 2018, freight rail transport income was expected to reach close to 2.5 billion US dollars across the country. With increased engagement from both government and non - governmental enterprises, both local and international, freight traffic is expected to develop fast, potentially leading to greater job possibilities and income production from the industry [1] . As the parcel delivery in Indian railway is very less costly, more the amount of people uses railways for delivering their parcels from one state to another. From the recent statistics around 65% of the revenue of Indian railways is from freight transportation. With the advantages there are still some loopholes and disadvantages here. It is seen that many accidents happens day by day in Indian Railways, there may be numerous reasons for it, like proper checking is done, people crosses the danger line at railway platforms, walking on the track and many more. One of the main reason

FAQs

What problem does the intelligent parcel management system address?

It targets railway parcel delivery verification and destination-based sorting, reducing dependence on manual security checks and improving safety screening accuracy.

How does the system work in two phases?

First, parcels go through a scanning process using multiple scanners to check for explosives, drugs, and dangerous materials. Then, parcels proceed to sorting where QR codes retrieve parcel details for proper routing.

What tools and evaluation method are used in the research?

The system is simulated using Blender software, and the proposed procedure is reported to significantly improve accuracy compared with existing techniques.

Aug 5, 2026

Upload by Noah