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Published September 1, 2021 | Version v1
Journal article Open

A Survey on IoT-Based Smart Classification for Simultaneous Parking Monitoring and Involuntary Billing

  • 1. Student, Department of Computer Science and Engineering East West College of Engineering, Bangalore , Karnataka, India
  • 2. Assistant Professor, Department of Computer Science and Engineering East West College of Engineering, Bangalore , Karnataka, India

Description

This paper utilizes thorough open air vehicle confinement and acknowledgment philosophies. The proposed on-board vehicle handset framework (VTD) sensor would be executed without the requirement for new parts to be introduced in each parking garage. A two- overlap detecting method is utilized to accomplish dependable vehicle distinguishing proof and leaving inhabitance control. It's a mix of a movement finder and a worldwide security framework. Subsequently, power request is diminished, and the VTD has a force saving plan that utilizes just 20 watts at 3 volts. Clever vehicular specially appointed organizations are being coordinated. Detecting techniques for the route satellite framework (GNSS).

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References

  • Bura, H., Lin, N., Kumar, N., Malekar, S., Nagaraj, S., & Liu, K. (2018, July). An edge based smart parking solution using camera networks and deep learning. In 2018 IEEE International Conference on Cognitive Computing (ICCC) (pp. 17-24). IEEE.
  • Wu, Q., Huang, C., Wang, S. Y., Chiu, W. C., & Chen, T. (2007, July). Robust parking space detection considering inter-space correlation. In 2007 IEEE International Conference on Multimedia and Expo (pp. 659-662). IEEE.
  • Kanan, R., Sweleh, A., & Elhassan, O. (2019, November). A self-powered and wireless parking sensor with Lux-RSS correlation for extra accuracy. In 2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA) (pp. 1-5). IEEE.
  • Cai, B. Y., Alvarez, R., Sit, M., Duarte, F., & Ratti, C. (2019). Deep learning-based video system for accurate and real-time parking measurement. IEEE Internet of Things Journal, 6(5), 7693-7701.
  • Priya, R., Abhishek, A., & Utsav, A. (2021, July). A unique automatic parking system by using RFID card and IoT. In 2021 6th International Conference on Communication and Electronics Systems (ICCES) (pp. 519-523). IEEE.
  • S. Mitja. System for obtaining and displaying real time information on a vacant parking space.
  • Menon, K. D., Raj Jain, A., & Kumar Pareek, D. (2019). Quantitative analysis of student data mining.
  • Pai H, A., HS, S., Soman, S., Pareek, D., & Kumar, P. (2019). Analysis of causes and effects of longer lead time in software process using FMEA SSRN: https://ssrn.com/abstract=3508574 or http://dx.doi.org/10.2139/ssrn.3508574
  • Pai H, Aditya and H S, Sameena and Soman, Sandhya and Pareek, Dr. Piyush Kumar, ROC Structure Analysis of Lean Software Development in SME's Using Mathematical CHAID Model (May 17, 2019).
  • Pai H, A., HS, S., Soman, S., Pareek, D., & Kumar, P. (2019). ROC Structure Analysis of Lean Software Development in SME's Using Mathematical CHAID Model.