Abstract
Low-cost vehicle security and accident notification system is essential in this modern society as vehicle theft and accidents that occur are increasing daily. In this proposed system, hardware for vehicle security is implemented, with authentication, and accident notification. Authentication is achieved by face detection and recognition using an open CV. The defaulter information is forwarded to the authenticated mobile number of the person by whom the vehicle is owned, using the GSM module and a notification email. The face authentication module was developed using the discrete wavelet transform-based Haar cascade algorithm. In addition to the face authentication, accident notifications will be sent to family members of the vehicle owner. Micro electrical mechanical system sensor was utilized to detect accident incidents using the accelerometer concept.
References
- Z. Brijet, N. Santhosh Kumar “Vehicle Anti-Theft System using fingerprint recognition”.OpenAcademic Journal of Advanced Science and TechnologyDOI: 10.33094/5.2017.11.36.4,2019
- Ahmed, S.U., Uddin, R. and Affan, M., 2020, September. Intelligent gadget for accident prevention: smart helmet. In 2020 International Conference on Computing and Information Technology (ICCIT-1441) (pp. 1-4). IEEE.
- Chandran, A., & Shiny Malar, F.R. (2020). "A Smart Anti-Theft System for Vehicle Security." International Journal of Advanced Research Trends in Engineering and Technology, 7(10).
- P. Deep Das and S. Sengupta, "Implementing a next generation system to provide protection to vehicles from thefts and accidents," 2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT), Coimbatore, India, 2017, pp. 1-6, doi: 10.1109/IGEHT.2017.8094045.
- Padmapriya, S., & KalaJames, E. A. (2018). Real time smart car lock security system using face detection and recognition. 2012 International Conference on Computer Communication and Informatics. doi:10.1109/iccci.2012.6158802
- Elmustafa Sayed Ali, Mohammad Kamrul Hasan, Rosilah Hassan, Rashid A. Saeed, Mona Bakri Hassan, Shayla Islam, Nazmus Shaker Nafi, Savitri Bevinakoppa, "Machine Learning Technologies for Secure Vehicular Communication in Internet of Vehicles: Recent Advances and Applications", Security and Communication Networks, vol. 2021, Article ID 8868355, 23 pages, 2021. https://doi.org/10.1155/2021/8868355
- Das, P. D., & Sengupta, S. (2016). Proposing the systems to provide protection of vehicles against theft and accident. 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). doi:10.1109/rteict.2016.7808119
- L. Cuimei, Q. Zhiliang, J. Nan and W. Jianhua, "Human face detection algorithm via Haar cascade classifier combined with three additional classifiers," 2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), Yangzhou, China, 2017, pp. 483-487, doi: 10.1109/ICEMI.2017.8265863.
- Abdurrahman, Muhammad Hanif, Haryadi Amran Darwito, and Akuwan Saleh. “Face Recognition System for Prevention of Car Theft with Haar Cascade and Local Binary Pattern Histogram using Raspberry Pi.” EMITTER International Journal of Engineering Technology 8, no. 2 (2020): 407-425.
- Pankajavalli, P. B., V. Vignesh, and G. S. Karthick. "Implementation of haar cascade classifier for vehicle security system based on face authentication using wireless networks." In International Conference on Computer Networks and Communication Technologies: ICCNCT 2018, pp. 639-648. Springer Singapore, 2019.
- Truong, Quoc Bao, Tan-Loc Tran, Thanh Tan-Kiet Nguyen, and Huu Cuong Nguyen. “The Face and number plate recognition for car anti-theft.” CTU Journal of Innovation and Sustainable Development 15 (2023): 110-118.
- GV, Hindu Kumari, H. C. Nithyashree, Ranjana A. Bali, R. Tejeswini, and R. C. Sreevidya. "Theft Prevention System for Vehicles Using Biometric Traits."