Crash Detection Android Application

Android smartphone app will automatically detect the accident that will be occurred.The app immediately retrieves the GPS(Global Positioning System) location and activates an alarm screen.With one tap, the user can request emergency assistance.The app calls the local emergency number and sends SMS(Short Message Service) alerts to predefined contacts.The alerts provide accident details including location coordinates, number of passengers, and crash characteristics.Development challenges include accurately identifying crashes across varying conditions while minimizing false positives, integrating with onboard vehicle systems for additional data, addressing cybersecurity risks, optimizing for minimal battery usage, and easing privacy concerns over data collection.If technical obstacles can be overcome, such an automated crash detection and emergency alert app could help expedite emergency responses and improve road safety outcomes.Intended as a low-cost, scalable supplementary crash alert system, it has the potential to save lives worldwide

Publication Details

Journal
International Research Journal of Modernization in Engineering Technology and Science
Published
2025-09-01
DOI
https://doi.org/10.56726/irjmets81475
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Crash Detection Android Application

International Research Journal of Modernization in Engineering Technology and Science
IoT and GPS-based Vehicle Safety Systems
article

Crash Detection Android Application

article en

Abstract

Android smartphone app will automatically detect the accident that will be occurred.The app immediately retrieves the GPS(Global Positioning System) location and activates an alarm screen.With one tap, the user can request emergency assistance.The app calls the local emergency number and sends SMS(Short Message Service) alerts to predefined contacts.The alerts provide accident details including location coordinates, number of passengers, and crash characteristics.Development challenges include accurately identifying crashes across varying conditions while minimizing false positives, integrating with onboard vehicle systems for additional data, addressing cybersecurity risks, optimizing for minimal battery usage, and easing privacy concerns over data collection.If technical obstacles can be overcome, such an automated crash detection and emergency alert app could help expedite emergency responses and improve road safety outcomes.Intended as a low-cost, scalable supplementary crash alert system, it has the potential to save lives worldwide

International Research Journal of Modernization in Engineering Technology and Science
Openalex Percentile: Top 77%
IoT and GPS-based Vehicle Safety Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.