Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Design and Implementation of People Counting System Based Piezoelectric Mat for Simultaneous Passing Pedestrian Counting

동시 통과 보행 인원 계수를 위한 압전매트 기반 인원 계수 시스템 설계 및 구현

  • Jang, Si-Woong (Department of Computer Engineering, Dong-Eui University) ;
  • Cho, Jin-Hwan (Department of Software Convergence, Dong-Eui University)
  • Received : 2020.07.17
  • Accepted : 2020.07.25
  • Published : 2020.10.31
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Abstract

The system for counting the number of people has traditionally been implemented in various ways. Existing systems include infrared sensors, lasers, cameras, etc. In the case of such an existing system, there are restrictions on space such as ceilings and sides of walls. In this paper, we propose a method of detecting the footsteps of pedestrians using a piezoelectric mat containing a number of piezoelectric sensors and counting the number of pedestrians passing simultaneously by using the data collected from the piezoelectric mat. When pedestrians pass over piezoelectric mats, the collected sensor data was aggregated using SPI communication and transmitted to PC server using TCP/IP communication. Performance analysis shows that approximately 600 step data can be recognized with 99% accuracy. This is to overcome the shortcomings of other counting systems.

인원을 계수하기 위한 시스템은 기존에 다양한 방법으로 이루어지고 있다. 기존 시스템의 계수방식으로는 적외선 센서, 레이저, 카메라 등이 있는데 이러한 기존 시스템의 경우에는 천장, 벽의 측면 등과 같이 공간에 대한 제약이 발생한다. 본 논문에서는 다수의 압전소자가 포함된 압전매트를 이용하여 보행자의 발걸음을 검출하고 압전매트에서 수집된 데이터를 활용하여 동시에 통과하는 보행 인원을 계수하는 방법을 제시한다. 보행자가 압전매트 위를 지나갈 경우, 수집한 센서 데이터를 SPI 통신을 이용하여 종합하고 TCP/IP 통신을 이용해 PC서버로 전송하는 방식의 통신시스템을 이용하였다. 성능분석 결과, 약 600개가량의 발걸음 데이터에서 99% 정도의 정확도로 인식하는 결과를 얻었다. 이를 통해 다른 인원 계수 시스템의 단점을 극복하고자 한다.

Keywords

References

  1. J. W. Kim, T. W. Lee, D. Y. Kim, and J. H. Lee, "Realtime System Implementation for People Counting and Congestion Recognition," in Proceedings of Symposium of the Korean Institute of communications and Information Sciences, Korea: KR, pp. 308-309, 2019.
  2. S. M. Yang, Y. S. Kim, S. H. Cho, and J. H. Choi. "A Real-Time People Counting Algorithm using Ultrasonic Sensors," in The Korean Institute of Information Scientists and Engineers, Korea: KR, pp. 1596-1598, 2016.
  3. J. H. Choi, J. E. Kim, and K. T. Kim. "Learning-Based People Counting System Using an IR-UWB Radar Sensor," The Journal of Korean Institute of Electromagnetic Engineering and Science, vol. 30, no. 1, pp. 28-37, Jan. 2019. https://doi.org/10.5515/KJKIEES.2019.30.1.28
  4. J. W. Choi, X. Quan, and S. H. Cho, "Bi-Directional Passing People Counting System Based on IR-UWB Radar Sensors," in IEEE Internet of Things Journal, vol. 5, no. 2, pp. 512-522, Apr. 2018. https://doi.org/10.1109/JIOT.2017.2714181
  5. C. Y. Kim and S. R. Choi, "A Camera-Based System for Counting People in Real Time," in Proceedings of Symposium of the Korean Institute of communications and Information Sciences, Korea: KR, pp. 503-506, 2002.
  6. T. S. Chen, C. H. Chen, D. J. Wang, and Y. L. Kuo, "A People Counting System Based on Face-Detection," in 2010 Fourth International Conference on Genetic and Evolutionary Computing, China: CN, pp. 699-702, 2010.
  7. J. W. Perng, T. Y. Wang, Y. W. Hsu, and B. F. Wu, "The Design and Implementation of a Vision-based People Counting System in Buses," in 2016 International Conference on System Science and Engineering (ICSSE), Taiwan: TW, pp. 1-3, 2016.
  8. S.D. Pore and B.F. Momin, "Bidirectional People Counting System in Video Surveillance," in 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), India: IN, pp. 724-727, 2016.
  9. S. Muthukumar, W. S. Mary, S. K. Abijith, P. Haribalan, and S. Sakthivel, "Sensor Based Automated People Counting System," in 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS), India: IN, pp. 1796-1798, 2018.
  10. B. Dan, Y. Kim, Suryanto, J. Jung, and S. Ko, "Robust people counting system based on sensor fusion," in IEEE Transactions on Consumer Electronics, vol. 58, no. 3, pp. 1013-1021, Aug. 2012. https://doi.org/10.1109/TCE.2012.6311350
  11. S. W. Jang and D. H. Jung, "Design and Implementation of a People Counting System using Piezoelectric Sensors," Journal of the Korea Institute of Information and Communication Engineering, vol. 21, no. 7, pp. 1441-1446, Jul. 2017. https://doi.org/10.6109/jkiice.2017.21.7.1441
  12. S. W. Jang and J. S. Kim, "Design and Implementation of an Efficient Communication System for Collecting Sensor Data in Large Scale Sensors Networks," Journal of the Korea Institute of Information and Communication Engineering, vol. 24, no. 1, pp. 113-119, 2020.
  13. G. Y. Lee, J. T. Kim, and J. K. Park, "A Design of Parameterized SPI Slave Soft IP and its FPGA Verification," in Proceedings of Symposium of the Korean Institute of communications and Information Sciences, Korea: KR, pp. 938-939, 2019.
  14. J. Cao, L. Sun, M. G. Odoom, F. Luan, and X. Song, "Counting people by using a single camera without calibration," in 2016 Chinese Control and Decision Conference (CCDC), China: CN, pp. 2048-2051, 2016.
  15. F. Zhu, X. Yang, J. Gu, and R. Yang, "A New Method for People-Counting Based on Support Vector Machine," in 2009 Second International Conference on Intelligent Networks and Intelligent Systems, China: CN, pp. 342-345, 2009.