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This paper presents the design and implementation of a hardware noise filtering and real-time motion detection utilizing the RE200B sensor on the FPGA Trion T8 BGA81. The system integrates the RE200B sensor’s capabilities for detecting environmental parameters with efficient noise filtering techniques to enhance the accuracy and reliability of real-time data processing. The FPGA-based approach provides high-speed parallel processing, making it suitable for applications requiring rapid and precise sensor data recognition. We demonstrate the effectiveness of the system through experimental results, highlighting its potential in various industrial and environmental monitoring applications. The proposed system achieves significant improvements in noise reduction and recognition accuracy compared to related existing approaches.

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Efficient FPGA-Based Hardware Noise Filtering and Real-Time Motion Detection Using RE200B Sensor on Trion T8 BGA81

  • 会议论文

  • 发表日期：

    2026年

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  • Phuc Do,
  • Chan Nguyen,
  • Binh Nguyen,
  • Tuong Le,
  • Thang Huynh,
  • Thanh Nguyen,
  • Sang Ha,
  • Trung Nguyen,
  • Tho Nguyen,
  • Thien Pham,
  • Tho Quan

摘要

This paper presents the design and implementation of a hardware noise filtering and real-time motion detection utilizing the RE200B sensor on the FPGA Trion T8 BGA81. The system integrates the RE200B sensor’s capabilities for detecting environmental parameters with efficient noise filtering techniques to enhance the accuracy and reliability of real-time data processing. The FPGA-based approach provides high-speed parallel processing, making it suitable for applications requiring rapid and precise sensor data recognition. We demonstrate the effectiveness of the system through experimental results, highlighting its potential in various industrial and environmental monitoring applications. The proposed system achieves significant improvements in noise reduction and recognition accuracy compared to related existing approaches.