International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 12 | Dec 2025
p-ISSN: 2395-0072
www.irjet.net
Swift Aid: Real-Time Accident Detection and Emergency Alert System Prof. Priyanka R Navale1, Kiran B V2, Kumar Venkatesh B R2, Lingaraj G N2, Vijay M H2 1Assistant Professor, Department of CSBS, Bapuji Institute of Engineering and Technology, Davanagere,
Karnataka, India
2U.G Student, Department of CSBS, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India
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Abstract – Swift Aid is a mobile-based accident detection
simultaneously to the user's emergency contacts and the nearest hospitals and police stations.
and emergency alert system designed to address the critical delay in emergency response following road accidents. Utilizing smartphone sensors such as accelerometers and GPS, the application continuously monitors vehicular motion to detect abnormal patterns indicative of collisions or high-impact events. Upon detecting a potential accident, the app calculates the severity based on g-force data and initiates a countdown timer, giving the user a brief opportunity to cancel in case of a false alarm. If unacknowledged, Swift Aid automatically sends real-time alerts containing the user's precise location and accident details to emergency contacts, nearby hospitals, and local authorities, significantly reducing the time required for help to arrive. In addition to automated alerts, Swift Aid supports manual SOS functionality and can integrate with healthmonitoring features to assess the user’s medical condition post-accident.
1.1 Existing Systems and Limitations Over the years, various accident detection and emergency alert systems have been developed using technologies like embedded hardware, vehicular communication networks (VANET), and smartphone-based sensing. Systems such as Wreck Watch utilize smartphone accelerometers and GPS to detect crashes and notify emergency services, while others like Deep Crash implement deep learning and external cameras for visual confirmation. Some advanced models employ OBD-II vehicle interfaces, IoT-based sensors, or dedicated communication protocols like IEEE 802.11p to support vehicle-to-vehicle (V2V) and vehicle-toinfrastructure (V2I) alerts. While these systems demonstrate high detection accuracy, they often rely on external hardware, complex infrastructures, or specialized networks that limit mass adoption.
Key Words: Real-Time Accident Detection, Smartphone Sensor Fusion, Emergency Alert System, Accelerometer-based Crash Detection, GPS Tracking.
Despite technological advances, most existing solutions face critical limitations. Hardware-based systems can be costly, hard to install, and are typically limited to newer vehicles with advanced interfaces. VANET-based models, while theoretically efficient, require large-scale infrastructure and are not widely available in real-world traffic scenarios. Smartphone-based systems, though more accessible, often struggle with accuracy and may trigger false alerts due to inconsistent sensor data or lack of contextual awareness. Moreover, many of these systems overlook health data integration and secure cloud connectivity, leaving gaps in emergency preparedness and data protection. These limitations highlight the need for a robust, mobile-centric, and hardware-independent solution like Swift Aid, designed to offer real-time accident detection and rapid alerting using only existing smartphone capabilities.
1. INTRODUCTION Road traffic accidents represent a major worldwide health and safety challenge. The speed of the emergency response is a critical factor in determining survival rates. Many fatalities occur not from the initial impact but because medical help does not arrive quickly enough. This is especially true for accidents in isolated areas or when drivers are alone and unable to call for help themselves. Modern technology offers a powerful solution through smartphones. Nearly everyone carries a device equipped with sophisticated sensors. These sensors can detect the sudden, violent motions that are characteristic of a serious car crash. By using the phone's built in accelerometer and GPS, a system can automatically recognize a potential accident without needing any extra hardware.
1.2 Features Swift Aid, is a smartphone-centric real-time accident detection and emergency alerting application designed to overcome the inherent limitations of existing accident response solutions. Traditional systems often rely on dedicated hardware installed in vehicles or manual reporting by accident victims or bystanders, which can lead to delays or failure to notify emergency services
When a crash is detected, the system immediately springs into action. It first captures the exact location of the incident. To prevent false alarms, a brief cancellation period gives the user a chance to stop the alert if it was triggered by mistake. If no cancellation occurs, the system then sends out emergency notifications. These alerts, containing the precise location and crash details, are sent
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