AI Driven QR Accident Alerts with Blockchain for Enhanced Security

Now a days Road accidents are a major global concern, resulting in significant loss of life and property. Current emergency response systems often face challenges such as slow response times, inaccurate information, and privacy concerns i.e Data breaches, unauthorized access to personal information, and lack of user control over data sharing pose significant privacy risks. To address these challenges, we proposed a AI-Driven QR Accident Alerts with Block Chain. QR for road accident is an innovative communication platform that facilitates efficient and secure interaction between vehicle owners and the broader community. The platform serves as a responsive solution during critical situations, effectively tackling a spectrum of issues, from road accidents, and potential security threats. Our System deals with Message Alert, Reporter Authentication, Blockchain for storage. This approach provides an ability for the public to inform the victim’s family members at the time of road accidents using web application. This application motive is to make reach of information to the family members in short time span. This application will serves as an another approach to alert and identify the victim’s family members during the failure of approaches facial based or fingerprint based recognition of victim’s family for the police officials. Keywords: Road accident, QR codes, Accident alerts, AI authentication, Blockchian storage,

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-27
DOI
https://doi.org/10.55041/ijsrem43103
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Driven QR Accident Alerts with Blockchain for Enhanced Security

Munish Reddy, Kaushik Kumar, K. V. REDDY, K. Vamsi
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Advanced Malware Detection Techniques
article

AI Driven QR Accident Alerts with Blockchain for Enhanced Security

Munish Reddy, Kaushik Kumar, K. V. REDDY, K. Vamsi
article en

Abstract

Now a days Road accidents are a major global concern, resulting in significant loss of life and property. Current emergency response systems often face challenges such as slow response times, inaccurate information, and privacy concerns i.e Data breaches, unauthorized access to personal information, and lack of user control over data sharing pose significant privacy risks. To address these challenges, we proposed a AI-Driven QR Accident Alerts with Block Chain. QR for road accident is an innovative communication platform that facilitates efficient and secure interaction between vehicle owners and the broader community. The platform serves as a responsive solution during critical situations, effectively tackling a spectrum of issues, from road accidents, and potential security threats. Our System deals with Message Alert, Reporter Authentication, Blockchain for storage. This approach provides an ability for the public to inform the victim’s family members at the time of road accidents using web application. This application motive is to make reach of information to the family members in short time span. This application will serves as an another approach to alert and identify the victim’s family members during the failure of approaches facial based or fingerprint based recognition of victim’s family for the police officials. Keywords: Road accident, QR codes, Accident alerts, AI authentication, Blockchian storage,

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Openalex Percentile: Top 94%
Advanced Malware Detection Techniques
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