A Survey of Mobile Application Based Collision Detection Alert System for Motor Vehicles

Crash Detection, GSM, Accelerometer, Gyroscope, GPS, Android Application

Authors

  • China Ramu S Department of CSE, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad, Telangana-500075, India.
  • Ram Charan Reddy Department of CSE, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad, Telangana-500075, India.
  • Sai Vishal Uppala Department of CSE, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad, Telangana-500075, India.
April 2, 2024
April 23, 2024

Downloads

Accidents involving motor vehicles are a big problem on a global scale, and they frequently result in terrible deaths. Responding to emergencies in a timely manner is absolutely necessary in order to improve survival rates in instances like these. Alternatively, this reaction time is dependent upon the presence of automatic in-vehicle crash detection and reporting approaches, which are commonly seen in high-end or luxury automobiles. Due of this, there is a gap in safety, particularly in low-end automobiles, which are widespread in developing nations. Original equipment manufacturers (OEMs) do not often install such devices in their vehicles. This research provides a unique way to solve this important issue, which is an autonomous collision detection system which uses smartphones. Our method makes use of the sensor capabilities of cellphones, such as Accelerometer, Gyroscope,GPS and GSM , in order to correctly detect collisions. This is accomplished despite the limits of the sensors, which includes range and sensitivity. As a result of this, this system presents an option that is more cost-effective than the expensive collision detection systems that are combined with the premium automobiles. In addition, this method eliminates the cost barrier, which enables it to be compatible with Android devices whereas it was previously only compatible with iPhones. The focus of this approach is mainly placed on the significance of minimising reaction times in the event of traffic accidents. It highlights the disparity between different car categories in terms of safety features and provides the solution that is based on smartphones.