Volume 4 , Issue 1 , PP: 50-55, 2022 | Cite this article as | XML | Html | PDF | Full Length Article
M. Sumithr 1 * , B.Buvaneswari 2
Doi: https://doi.org/10.54216/IJWAC.040105
We see that many automobile accidents are becoming a significant safety problem in the current society. Both human and animal lives are damaged by vehicle collisions. Due to breaking problems and quick response times when there is an impediment, more crashes happen. Therefore, the automated braking system for cars is presented in this work. Consumers are increasingly using their cellphones and the internet to make direct purchases rather than going to conventional brick-and-mortar establishments. Thanks to the internet, conducting business has never been quicker or easier than it is right now. A transmitter and a receiver are part of an ultrasonic system that is positioned in front of the vehicle. Life’s price cannot be calculated. This device measures the distance between obstacles using an ultrasonic sensor and notifies the driver when one is present. This essay also demonstrates the automated microcontroller's operation. The car will automatically stop when the safe separation distance is achieved. Its typical response time is 0.90 seconds, and its typical error rate based on the actual distance of the barrier is 11.2 seconds.
Braking system , Automobiles , Ultrasonic sensor , Microcontroller , Arduino
[1] V. N. Ukoji, “Trends and designs of deadly street mischances in Nigeria (2006–2014)”. Web: http://www.ifra-nigeria. Org/IMG/pdf/fatal road-accidents-nigeria. Pdf Nov, 2014.
[2] S. Srivastava, R. K. Kanaujia, and S. K. Singh, “Collision avoidance system for vehicle safety,” vol. 3, 2015.
[3] WHO, “Global status report on street security, Switzerland: World Health Organization.” 2015.
[4] F. Catedra, M. Algar, A. Gonzalez, A. Somolinos, G. Romero and J. Moreno, “Analysis of Collision Evasion Frameworks for Automobile Applications,” Radio wires and Engendering (APSURSI), 2016 IEEE Universal Symposium on. IEEE, 2016. pp. 633–634.
[5] M. Mahdi, E. Search and J. Åslund. "Real-time speed arranging for heavy obligation truck with impediment avoidanc,." IEEE Brilliantly Vehicle Symposium. 2017.
[6] L. Tsung-Hsin, M. Hsu and Z. Tsai. "Shared impedances of pseudorandom clamor radar in car collision avoidance application at 24 GHz," Shopper Hardware, 2016 IEEE 5th Global Conference
[7] Sangeetha, K., and D. Prabha. "Sentiment analysis of student feedback using multi-head attention fusion model of word and context embedding for LSTM." Journal of Ambient Intelligence and Humanized Computing 12, no. 3 (2021): 4117-4126.
[8] J.V.Sai Ram, K.M.S.V.Manikanta, G.Pavanth, B.Jagadeep ,Dr. B.Raghu Kumar, “Automatic Braking System Using Ultrasonic Sensor”, International Journal of Innovative Science and Research Technology, Volume 2, Issue 4, April– 2017.
[9] M. Sumithra and Dr. S. Malathi, “A Novel Distributed Matching Global and Local Fuzzy Clustering (DMGLFC) FOR 3D Brain Image Segmentation for Tumor Detection”, IETE Journal of Research, doi.org/10.1080/03772063.2022.2027284, 2021
[10] B.Buvanswari and T.Kalpalatha Reddy, “A Review of EEG Based Human Facial Expression Recognition Systems in Cognitive Sciences” International Conference on Enenrgy, Communication,Data analytics and SoftComputing(ICECDS),CFP17M55-PRJ:978-1-5386-1886- 8”,August 2017.
[11] M. Sumithra and Dr. S. Malathi, ” Modified Global Flower Pollination Algorithm-based image fusion for medical diagnosis using computed tomography and magnetic resonance imaging”, International Journal of Imaging Systems and Technology, Vol. 31, Issue No.1, pp. 223-235, 2021
[12] K. Sridharan , and Dr. M. Chitra "SBPE: A paradigm Approach for proficient Information Retrieval , Jokull Journal" , Vol 63, No. 7;Jul 2013.
[13] M. Sumithra and Dr. S. Malathi, “3D Densealex NET Model with Back Propagation for Brain Tumor Segmentation”, International Journal OfCurent Research and Review, Vol. 13, Issue 12, 2021.
[14] B.Buvaneswari and Dr.T. Kalpalatha Reddy,“EEG signal classification using soft computing techniques for brain disease diagnosis”,Journal of International Pharmaceutical Research ,ISSN : 1674-0440,Vol.46,No.1,Pp.525-528,2019.
[15] K. Sridharan , and Dr. M. Chitra "Web Based Agent And Assertion Passive Grading For Information Retervial", ARPN Journal of Engineering and Applied Sciences, VOL. 10, NO. 16, September 2015 pp:7043-7048.
[16] M. Sumithra and Dr. S. Malathi, “Segmentation Of Different Modalitites Using Fuzzy K-Means And Wavelet ROI”, International Journal Of Scientific & Technology Research, Vol. 8, Issue 11, pp. 996-1002, November 2019.
[17] M. Sumithra and S. Malathi, “ A Survey of Brain Tumor Segmentation Methods with Different Image Modalitites”, International Journal of Computer Science Trends and Technology (IJCST) – Vol. 5 Issue 2, Mar– Apr 2017
[18] B.Buvaneswari and Dr.T. Kalpalatha Reddy, “High Performance Hybrid Cognitive Framework for Bio-Facial Signal Fusion Processing for the Disease Diagnosis”, Measurement,ISSN: 0263-2241, Vol. 140, Pp.89-99,2019.
[19] M. Sumithra and Dr. S. Malathi, “A Brief Survey on Multi Modalities Fusion”, Lecture Notes on Data Engineering and Communications Technologies, Springer, 35, pp. 1031-1041,2020.
[20] M. Sumithra and S. Malathi, “A survey on Medical Image Segmentation Methods with Different Modalitites”, International Journal of Engineering Research and Technology (IJERT) – Vol. 6 Issue 2, Mar 2018.
[21] B.Buvaneswari and Dr.T. KalpalathaReddy,“ELSA- A Novel Technique to Predict Parkinson's Disease in Bio-Facial”,International Journal of Advanced Trends in Computer Science and Engineering, ISSN 2278-3091,Vol.8,No.1,Pp. 12-17,2019.
[22] K. Sridharan , and Dr. M. Chitra , Proficient Information Retrieval Using Trust Based Search On Expert And Knowledge Users Query Formulation System, Australian Journal of Basic and Applied Sciences, 9(23) July 2015, Pages: 755-765.
[23] B.Buvaneswari and Dr.T. Kalpalatha Reddy, “ACPT- An Intelligent Methodology for Disease Diagnosis”,Journal of Advanced Research in Dynamical and Control Systems,ISSN : 0974- 5572,Vol.11,No.4,Pp.2187-2194,2019.
[24] Sumithra, M., Shruthi, S., Ram, S., Swathi, S., Deepika, T., "MRI image classification of brain tumor using deep neural network and deployment using web framework", Advances in Parallel Computing, 2021, 38, pp.614–617.
[25] K. Sridharan , and Dr. M. Chitra "RSSE: A Paradigm for Proficient Information Retrieval using Semantic Web" , Life Science Journal 2013;10(7s), pp: 418-425.
