IRO Journals
Journal of Electrical Engineering and Automation

Smart Black–Box Architecture For Autonomous Accident Detection And Geo location

Open Access
Published: 28 October, 2026
Pages: 315-328
  • Senthilkumar V. , Senthilkumar V.
    Professor, Department of Electronics and Communication Engineering, R P Sarathy Institute of Technology (RPSIT), Kadayampatti, Salem, Tamil Nadu - 636305, India
    Professor, Department of Electronics and Communication Engineering, R P Sarathy Institute of Technology (RPSIT), Kadayampatti, Salem, Tamil Nadu - 636305, India
  • Santhoshkumar S. , Santhoshkumar S.
    Student, Department of Electronics and Communication Engineering, R P Sarathy Institute of Technology (RPSIT), Kadayampatti, Salem, Tamil Nadu - 636305, India
    Student, Department of Electronics and Communication Engineering, R P Sarathy Institute of Technology (RPSIT), Kadayampatti, Salem, Tamil Nadu - 636305, India
  • Dhanush P. , Dhanush P.
    Student, Department of Electronics and Communication Engineering, R P Sarathy Institute of Technology (RPSIT), Kadayampatti, Salem, Tamil Nadu - 636305, India
    Student, Department of Electronics and Communication Engineering, R P Sarathy Institute of Technology (RPSIT), Kadayampatti, Salem, Tamil Nadu - 636305, India
  • Pugazhenth K. , Pugazhenth K.
    Student, Department of Electronics and Communication Engineering, R P Sarathy Institute of Technology (RPSIT), Kadayampatti, Salem, Tamil Nadu - 636305, India
    Student, Department of Electronics and Communication Engineering, R P Sarathy Institute of Technology (RPSIT), Kadayampatti, Salem, Tamil Nadu - 636305, India
  • Nivethkumar P. Nivethkumar P.
    Student, Department of Electronics and Communication Engineering, R P Sarathy Institute of Technology (RPSIT), Kadayampatti, Salem, Tamil Nadu - 636305, India
    Student, Department of Electronics and Communication Engineering, R P Sarathy Institute of Technology (RPSIT), Kadayampatti, Salem, Tamil Nadu - 636305, India
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How to Cite

V., Senthilkumar, Santhoshkumar S., Dhanush P., Pugazhenth K., and Nivethkumar P. 2026. “Smart Black–Box Architecture For Autonomous Accident Detection And Geo Location”. Journal of Electrical Engineering and Automation 8 (4): 315-28. https://doi.org/10.36548/jeea.2026.4.005.
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Keywords

Smart Black-Box
Autonomous Accident Detection
Driver-State Monitoring
Vehicle Proximity Sensing
Embedded Safety Control
GPS-GSM Geolocation
Emergency Alert Communication

Abstract

This research work proposes an intelligent black-box design framework for accident prevention, detection and geolocation through the integration of heterogeneous sensing and communication devices into the embedded ATmega platform. The proposed system combines an MQ3 alcohol sensing device, seat belt sensor, eye blink sensor, DHT11 temperature sensor, ultrasonic sensor, and ADXL335 accelerometer. Condition based control actions are employed to stop the prototype engine if the rider consumed alcohol, warning generation for long eye closure and high temperature, and reduces prototype engine speed when close vehicle proximity is detected. In case of an accident, the accelerator triggers the emergency response process by sending the user’s location acquisition using GPS coordinates and transmission of latitude and longitude along with the Google Maps link to emergency contacts through GSM. Stepper motor helps to illustrate the control responses. The presented prototype implementation through serial monitor observations and emergency message transmission confirms the sensing, decision-making, accident detection, location acquisition, and notification process proves the effectiveness of the proposed design in real-time scenarios.

References

  1. Aslam, Shehzad, Shahid Islam, Natasha Nigar, Sunday Adeola Ajagbe, and Matthew O. Adigun. "An IoT-Based Automatic Vehicle Accident Detection and Visual Situation Reporting System." Journal of Advanced Transportation, 2024, vol. 2024, no. 1: 4719669.
  2. Sankpal, Priyanka. "Accident avoidance system using IR transmitter." International Journal for Research in Applied Science and Engineering Technology, 2017, vol. 5, no. 4: 773- 775.
  3. Vijayakumar, M., M. Ramasamy, T. Jeyakumar, S. Dhivagar, V. Arun, and R. Hemalatha. "Vehicle accident detection and locating using GSM and GPS." In International Conference on Communication, Computing and Internet of Things (IC3IoT), IEEE, 2024, 1-5.
  4. Kailasam, S., Mr Karthiga, R. M. Priyadarshini, K. Kartheeban, and K. Anithadevi. "Accident alert system for driver using face recognition." In IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), IEEE, 2019, 1-4.
  5. Faiz, Adnan Bin, Ahmed Imteaj, and Mahfuzulhoq Chowdhury. "Smart vehicle accident detection and alarming system using a smartphone." In International Conference on Computer and Information Engineering (ICCIE), IEEE, 2015, 66-69.
  6. Gupta, Vishal, Sakshi Agarwal, Padmalaya Rawal, Mohit Kumar, Ankit Rana, and Sujal Garg. "Accident detection and alarm system for emergency help services." In International Conference on Sustainable Communication Networks and Application (ICSCNA), IEEE, 2023, 333-341.
  7. Kalyani, T., S. Monika, B. Naresh, and Mahendra Vucha. "Accident detection and alert system." International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2019, vol. 8, no. 4S2: 227-229.
  8. Tasgaonkar, Pankaj P., Rahul Dev Garg, and Pradeep Kumar Garg. "An IoT-based framework of vehicle accident detection for Smart City." IETE Journal of Research, 2024, vol. 70, no. 5: 4744-4757.
  9. Sowah, Robert A., Mohammed Shahid, Nii Longdon Sowah, and Gifty Buah. "Design and Development of IoT-Based Automatic Vehicle Accident Detection System." In IEEE 9th International Conference on Adaptive Science and Technology (ICAST), IEEE, 2024, vol. 9: 1-8.
  10. Patil, Vishwajeet Raosaheb, and Sujit Suresh Pardeshi. "Mechanism for accident detection, prevention and reporting system." Materials Today: Proceedings, 2023, vol. 72: 1975-1980