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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 23355
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| Paper Title: | QUICKRESQ : Real-Time Accident Detection with Severity Classification and Emergency Alert System |
| Authors Name: | Kodati Tharunee , Raga Veera Akhil , Jasthy Sreedevi , K Kotaiah Swamy |
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IJRTI_211255
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| Published Paper Id: | IJRTI2604156 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | Road accidents often lead to severe consequences, not only due to the impact itself but also because of delays in receiving timely assistance. In many cases, help arrives late since accident detection relies on manual reporting or bystander intervention. To address this issue, this project introduces QuickResQ, an intelligent system that automatically identifies accident scenarios and initiates emergency response without human involvement. The system analyzes visual inputs such as images and videos using computer vision techniques to detect accidents and assess their severity. Based on this assessment, it generates alerts containing essential details like location and seriousness of the incident, which are then shared with nearby emergency services, including hospitals and law enforcement authorities. The workflow integrates detection, classification, and alert mechanisms into a unified platform. By automating critical steps in the response process, QuickResQ reduces the time between accident occurrence and emergency assistance. The system is designed to function under varying environmental conditions, making it suitable for practical deployment. This approach contributes to faster response systems and improved road safety outcomes. |
| Keywords: | Accident Detection, Emergency Alert System, Computer Vision, Machine Learning, Severity Classification, Road Safety,Real-Time Monitoring, Image Processing, Video Processing. |
| Cite Article: | "QUICKRESQ : Real-Time Accident Detection with Severity Classification and Emergency Alert System ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b139-b149, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604156.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: IJRTI2604156
Registration ID:211255
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: b139-b149 Country: Rangareddy, Telangana, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604156 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604156 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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