Microcontroller Based Security Protection and Location Identification of Bike Riders

  • S. Sarath ChandraEmail author
  • J. Sriram Pavan
  • Bandla Prasanthi
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 38)


As the bikers in our nation are expanding, the street setbacks are additionally expanding step by step. Due to which numerous losses occur, and the vast majority of them are caused by the continuous carelessness and furthermore numerous passings happen because of absence of brief therapeutic consideration required by the harmed individual. This spurs us to develop a framework that guarantees the security of biker, by making it important to wear a head protector/helmet, according to government rules, additionally to get legitimate and brief restorative consideration, in the wake of meeting with a mishap. The proposed framework is a smart protective cap. Every Bike rider should wear helmet to start the bike, if not message will appear on the screen. After a moment it will ask for Password if he/she enters the correct password then ignition will on, next it will check the alcoholic percentage levels of the rider and the acceleration of the bike & alcohol levels will displays on screen. If rider exceeds the alcoholic levels immediately bike will go in a OFF mode and the rider location will sent to a nearest police station.


ARM7 microcontroller Accelerometer Alcohol sensors Battery and RF transceiver 


  1. 1.
    Krishna Chaitanya, V., Praveen Kumar, K.: Shrewd cap utilizing arduino, Hyderabad (2013)Google Scholar
  2. 2.
    Prudhvi Raj, R., Sri Krishna Kanth, Ch., Bhargav Aditya, A., Bharath, K.: Shrewd detective Helmet. AEEE, IndiaGoogle Scholar
  3. 3.
    Manjesh, N., Raj, S.: Shrewd helmet using GSM and GPS technology for accident detection and reporting system. Int. J. Electr. Electron. Res. 2(4), 122–127 (2014)Google Scholar
  4. 4.
    Vijayan, S., Govind, V.T., Mathews, M., Surendran, S., Sabah, M.: Liquor identification utilizing brilliant protective cap framework. IJETCSE. 8(1) (2014)Google Scholar
  5. 5.
    Xu, R., Zhou, S., Li, W.J.: MEMS accelerometer based nonspecific-user hand gesture recognition. IEEE Sens. J. 12(5), 1166–1173 (2011)CrossRefGoogle Scholar
  6. 6.
    Mazidi, M.A., Mazidi, J.G.: The 8051 Microcontroller and Embedded SystemsGoogle Scholar
  7. 7.
    Remote mishap data utilizing GPS and GSM. Res. J. Appl. Sci. Eng. Technol. (2012). Maxwell Sci. Organ. 4(17) (2012)Google Scholar
  8. 8.
    Sarath Chandra, S., Sai Sravanthi, G., Prasanthi, B., Vijaya Rangan, R.: IoT based garbage monitoring system. In: 2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) (2019)Google Scholar
  9. 9.
    Karthikeyan, S., Singh, S., Jain, H.M., Sailesh Kumar, M., Priya, V.: Smart and assistive driving headgear. In: 2018 3rd International Conference on Communication and Electronics Systems (ICCES) (2018)Google Scholar
  10. 10.
    Patel, D.H., Sadatiya, P., Patel, D.K., Barot, P.: IoT based obligatory usage of safety equipment for alcohol and accident detection. In: 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA) (2019)Google Scholar
  11. 11.
    Sridevi, G., Sarath Chandra, S.: Automated unauthorized parking detector with smart vehicle parking. Indian J. Sci. Technol. 12(26), 1–5 (2019)Google Scholar
  12. 12.
  13. 13.
  14. 14.

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • S. Sarath Chandra
    • 1
    Email author
  • J. Sriram Pavan
    • 1
  • Bandla Prasanthi
    • 2
  1. 1.Department of ECEQIS College of Engineering and TechnologyOngoleIndia
  2. 2.Department of ECEAcharya Nagarjuna UniversityGunturIndia

Personalised recommendations