IoT-Enabled Multi-Sensor Accident Detection and Automatic Rescue Alert System

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Year : 2026 | Volume : 04 | 01 | Page :
    By

    Dr. Valluri Dhana Raj,

  • S. Maheswari,

  • A. Athyusha,

  • S. Karishma,

  • S. Surya Karthik,

  • D. K. Veerabhadra Rao,

  1. professor, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  2. Student, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  3. Student, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  4. Student, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  5. Student, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
  6. Student, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India

Abstract

Road accidents and vehicle instability caused by skidding, engine overheating, and improper braking behavior remain major concerns in modern transportation systems. This project presents an intelligent vehicle safety and accident detection system that integrates multiple sensors and control logic to enhance driving safety and reduce accident severity. A vibration sensor is employed to detect collision or impact events and accurately identify vehicle accidents. An accelerometer sensor is used for real-time vehicle dynamics monitoring, enabling effective skid detection by analyzing sudden variations in acceleration and orientation. In order to avoid overheating and mechanical failure, a temperature sensor also continuously checks the engine’s temperature. An enhanced safety feature is incorporated in the braking mechanism, where the system analyzes the relationship between brake application and vehicle deceleration. The technology includes an improved safety feature in the braking mechanism in addition to thermal protection. This feature uses real-time data from an accelerometer to intelligently assess the link between using the brakes and the vehicle’s actual deceleration. The system anticipates a decrease in the vehicle’s acceleration values when the driver uses the brakes. The system analyzes a possible risk condition, such as wheel slide or poor braking response, if it finds that the brakes are being applied without a proportionate decrease in accelerometer data. The device automatically initiates a slow and regulated braking mechanism rather than permitting sudden or excessive braking force. If the driver applies the brakes without a corresponding reduction in accelerometer readings, the system activates gradual braking control instead of allowing sudden braking, thereby preventing wheel lock and loss of vehicle stability. The proposed system improves accident detection accuracy, enhances vehicle control during critical conditions, and contributes to safer and more reliable transportation. The system is cost- effective, scalable, and suitable for integration into modern intelligent vehicle and IoT-based safety platforms.

Keywords: IoT, accident detection, vehicle safety, ESP32, accelerometer, multi-sensor system, intelligent braking, emergency alert, GPS tracking, vehicle monitoring.

How to cite this article:
Dr. Valluri Dhana Raj, S. Maheswari, A. Athyusha, S. Karishma, S. Surya Karthik, D. K. Veerabhadra Rao. IoT-Enabled Multi-Sensor Accident Detection and Automatic Rescue Alert System. International Journal of Electrical and Communication Engineering Technology. 2026; 04(01):-.
How to cite this URL:
Dr. Valluri Dhana Raj, S. Maheswari, A. Athyusha, S. Karishma, S. Surya Karthik, D. K. Veerabhadra Rao. IoT-Enabled Multi-Sensor Accident Detection and Automatic Rescue Alert System. International Journal of Electrical and Communication Engineering Technology. 2026; 04(01):-. Available from: https://journals.stmjournals.com/ijecet/article=2026/view=238572


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Ahead of Print Subscription Review Article
Volume 04
01
Received 09/03/2026
Accepted 10/03/2026
Published 16/03/2026
Publication Time 7 Days
92

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