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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: July 2026
Volume 11 | Issue 7
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Impact Factor : 8.14
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| Paper Title: | Real-Time Container Crash Detection in Maritime Logistics Using Machine Learning and IoT Sensor Fusion |
| Authors Name: | Akash Jadhav , Prachi Lad , Ayush Jadhav , Ashitosh Malwade |
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IJRTI_213232
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| Published Paper Id: | IJRTI2606037 |
| Published In: | Volume 11 Issue 6, June-2026 |
| DOI: | |
| Abstract: | Container damage during maritime transportation remains a critical challenge in global logistics, with over 10,000 containers lost or damaged annually resulting in billions of dollars in economic losses. Traditional threshold-based monitoring systems exhibit high false-positive rates and inability to classify impact severity, leading to alarm fatigue among maritime crews. This paper presents an end-to-end Machine Learning-based Container Crash Detection System that identifies and classifies crash events in real-time using synthetic accelerometer signal analysis. The proposed pipeline comprises five sequential stages: (i) physics-based signal generation with realistic sensor artifacts, (ii) time-domain feature extraction computing six statistical metrics, (iii) Random Forest ensemble classification into four ordinal impact classes, (iv) confidence-adjusted severity assessment with uncertainty modeling, and (v) interactive Streamlit dashboard with persistent event logging. The system achieves a weighted F1-score of 96.9% with 100% recall on Severe Crash events, inference latency under 10ms per window, and a modular architecture enabling future hardware integration. Unlike existing threshold-based approaches that yield ~70% accuracy with 8.5% false-positive rates, our ML-driven approach reduces false positives by 75% while providing multi-class severity classification. |
| Keywords: | Container Crash Detection, Maritime Safety, Random Forest, Internet of Things, Real-Time Monitoring, Structural Health Monitoring, Time-Domain Feature Engineering |
| Cite Article: | "Real-Time Container Crash Detection in Maritime Logistics Using Machine Learning and IoT Sensor Fusion", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 6, page no.a358-a364, June-2026, Available :http://www.ijrti.org/papers/IJRTI2606037.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2606037
Registration ID:213232
Published In: Volume 11 Issue 6, June-2026
DOI (Digital Object Identifier):
Page No: a358-a364 Country: Pune , Maharashtra , India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2606037 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2606037 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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