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In the current smart tech world, there is an immense need of automating tasks and processes to avoid human intervention, save time and energy. Nowadays, mobile phones have become one of the essential things for human beings either to call someone, connect to the internet, while driving people need mobile phones to receive or make a call, use google maps to know the routes and many more. Normally in cars, mobile holders are placed on the dashboard to hold the mobile and the orientation of the phone needs to be changed according to the driver's convenience manually, but the driver may distract from driving while trying to access mobile phone which may lead to accidents. To solve this problem, an auto adjustable mobile holder is designed in such a way that it rotates according to the movement of the driver and also it can even alert the driver when he feels drowsiness. Image Processing is used to detect the movement of the driver which is then processed using LabVIEW software and NI myRIO hardware. NI Vision development module is used to perform face recognition and servo motors are used to rotate the holder in the required position. Simulation results show that the proposed system has achieved maximum accuracy in detecting faces, drowsiness and finding the position coordinates.
Słowa kluczowe
Rocznik
Tom
Strony
89--98
Opis fizyczny
Bibliogr. 20 poz., fot., rys., tab., wykr.
Twórcy
autor
- Department of ECE, Vardhaman College of Engineering, India
autor
- Department of ECE, Vardhaman College of Engineering, India
autor
- Department of ECE, Vardhaman College of Engineering, India
Bibliografia
- [1] Ajel, Ahmed R., Huda M. Abdul Abbas, and Mohannad Jabbar Mnati, “Position and speed optimization of servo motor control through FPGA,” International Journal of Electrical & Computer Engineering, vol. 11, no. 1, pp. 319-327, 2021, https://doi.org/10.11591/ijece.v11i1.pp319-327.
- [2] Rani, Mrs Shilpi, Shubham Chitransh, Priyam Tyagi, and Prashant Varshney, “Eye Controlled Wheelchair,” International Journal of Scientific Research & Engineering Trends, vol. 6, no. 3, pp. 1821-1823, 2020.
- [3] Swe, Thin Thin, “Detection of Faces from Images Using Haar Cascade Classifier,” Iconic Research and Engineering Journals, vol. 3, no. 12, pp. 174-178, 2020.
- [4] Newman, Jacob L, John S. Phillips, Stephen J. Cox, John FitzGerald, and Andrew Bath, “Automatic nystagmus detection and quantification in long-term continuous eye-movement data,” Computers in biology and medicine, vol. 114, pp. 103448, 2019. https://doi.org/10.1016/j.compbiomed.2019.103448.
- [5] Kiss, János Máté, Péter Tamás Szemes, and Petra Aradi, “Sliding mode control of a servo system in LabVIEW: Comparing different control methods,” International Review of Applied Sciences and Engineering, vol. 12, no. 2, pp. 201-210, 2021, 10.1556/1848.2021.00250. https://doi.org/10.1556/1848.2021.00250.
- [6] Somwanshi Devendra, Mahesh Bundele, Gaurav Kumar, and Gajal Parashar, “Comparison of fuzzy-PID and PID controller for speed control of DC motor using LabVIEW,” Procedia Computer Science, vol. 152, pp. 252-260, 2019. https://doi.org/10.1016/j.procs.2019.05.019.
- [7] Tan, K. S., M. N. Ayob, H. B. Hassrizal, A. H. Ismail, MS Muhamad Azmi, M. S. M. Hashim, S. M. Othman, A. B. Shahriman, and Y. H. Low, “Integrating Vision System to a Pick and Place Cartesian Robot,” Journal of Physics: Conference Series, vol. 2107, no. 1, 012037, IOP Publishing, 2021, https://doi.org/10.1088/1742-6596/2107/1/012037.
- [8] Li, Ping, and Guoli Zhu, “Robust internal model control of servo motor based on sliding mode control approach,” ISA transactions, vol. 93, no. 5, pp. 199-208, 2019, doi: 10.1016/j.isatra.2019.03.021.
- [9] Hou, Huazhou, Xinghuo Yu, Long Xu, Kamal Rsetam, and Zhenwei Cao, “Finite-time continuous terminal sliding mode control of servo motor systems,” IEEE Transactions on Industrial Electronics, vol. 67, no. 7, pp. 5647-5656, 2019, https://doi.org/10.1109/TIE.2019.2931517.
- [10] Hasan, Ramadan TH, and Amira Bibo Sallow, “Face Detection and Recognition Using OpenCV,” Journal of Soft Computing and Data Mining,” vol. 2, no. 1, pp. 86-97, 2021, https://doi.org/10.30880/jscdm.2021.02.02.008.
- [11] Durdu, Akif, and Emre Hasan Dursun, “Sliding mode control for position tracking of servo system with a variable loaded DC motor,” Elektronika ir Elektrotechnika, vol. 25, no. 4, pp. 8-16, 2019, https://doi.org/10.5755/j01.eie.25.4.23964.
- [12] Quintero, D. A., H. Claro, F. Regino, and J. A. Gómez., “Development of a data acquisition system using LabVIEW and Arduino microcontroller for a centrifugal pump test bench connected in series and parallel,” Journal of Physics: Conference Series, vol. 1257, no. 1, 012002. IOP Publishing, Jan 2019, https://doi.org/10.1088/1742-6596/1257/1/012002.
- [13] Preethi, G., D. Lavanya, V. Sreesureya, and S. Boopathimanikandan, “Real time monitoring and controlling of solar panel using labview,” International Journal of Scientific and Technology Research, vol. 8, no. 8, pp. 1747-1752, Feb 2019.
- [14] Khalifa, Mustafa, AL Hussein Amhedb, and Mohammed Al Sharqawi, “Position Control of Real Time DC Motor Using LabVIEW,” Journal of Robotics and Control (JRC), vol. 2, no. 5, pp. 342-348, 2021, https://doi.org/10.18196/jrc.25104.
- [15] Ma'arif, Alfian, and Naufal Rahmat Setiawan, “Control of DC Motor Using Integral State Feedback and Comparison with PID: Simulation and Arduino Implementation,” Journal of Robotics and Control (JRC), vol. 2, no. 5, pp. 456-461, 2021, https://doi.org/10.18196/jrc.25122.
- [16] Guo, Guanjun, Hanzi Wang, Yan Yan, Jin Zheng, and Bo Li, “A fast face detection method via convolutional neural network,” Neurocomputing, vol. 395, pp. 128-137, 2020, https://doi.org/10.48550/arXiv.1803.10103.
- [17] Lee, Junwoo, and Bummo Ahn, “Real-time human action recognition with a low-cost RGB camera and mobile robot platform,” Sensors, vol. 20, no. 10,2886, 2020, https://doi.org/10.3390/s20102886.
- [18] Yang, Bo-Jun, Kuo-Hsien Hsia, Kuo-Lan Su, and Evgeni Magid, “Application of the myRIO Based Mobile Robot Using Vision System,” In Proceedings of International Conference on Artificial Life and Robotics, Jan 2020, pp. 147-150, https://doi.org/10.5954/ICAROB.2020.OS18-7.
- [19] Karthikeyan, R., G. Nalinashini, R. Chithrakkannan, K. Mohanraj, and B. Uma Maheswari, “Implementation of GUI for class attendance using face detection and recognition system,” International Journal of Innovative Technology and Exploring Engineering, vol. 9, no. 1, pp. 2993-2996, Nov 2019, https://doi.org/10.35940/ijitee. A9122.119119.
- [20] Zadeh, H.G, Janianpour, S. and Haddadnia, J, “Recognition and classification of the cancer cells by using image processing and labview,” International Journal of Computer Theory and Engineering, vol. 5, no. 1, pp.104-107, 2013, https://doi.org/10.7763/IJCTE.2013.V5.656.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-39b8df2e-2c63-4e0b-a3e4-5b869f4fe520