Hardware Implementation of a Virtual Blind Cane on FPGA
Refereed conference paper presented and published in conference proceedings


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AbstractThis paper presented an FPGA based real-time virtual blind cane system for the visually impaired. This system consists of a Xilinx ZYNQ-7000 device, a CMOS camera, an inertial measurement unit (IMU) and a line laser. With this system, the visually impaired can recognize the distance and shape of the barrier ahead in real time to avoid it. The computational complexity of processing images in real time can be very high. In addition, for most embedded systems, there is a payload limitation, high performance computer and GPU is not suitable for embedded system. In this research, FPGA was chosen as its computing platform. Contrastive experimental results are presented to show the speed and robustness.
All Author(s) ListKun Fan, Congyi Lyu, Yunhui Liu, Weiguo Zhou, Xin Jiang, Peng Li, Haoyao Chen
Name of Conference2017 IEEE International Conference on Real-time Computing and Robotics (RCAR)
Start Date of Conference14/07/2017
End Date of Conference18/07/2017
Place of ConferenceOkinawa
Country/Region of ConferenceJapan
Proceedings Title2017 IEEE International Conference on Real-time Computing and Robotics (RCAR)
Detailed descriptionThis paper presented an FPGA based real-time virtual blind cane system for the visually impaired. This system consists of a Xilinx ZYNQ-7000 device, a CMOS camera, an inertial measurement unit (IMU) and a line laser. With this system, the visually impaired can recognize the distance and shape of the barrier ahead in real time to avoid it. The computational complexity of processing images in real time can be very high. In addition, for most embedded systems, there is a payload limitation, high performance computer and GPU is not suitable for embedded system. In this research, FPGA was chosen as its computing platform. Contrastive experimental results are presented to show the speed and robustness.
Year2017
PublisherIEEE
Pages344 - 348
eISBN978-1-5386-2035-9
LanguagesEnglish-United Kingdom
Keywordscameras, CMOS image sensors, computational complexity, embedded systems, field programmable gate arrays, handicapped aids, image recognition, distance recognition, shape recognition, IMU, image processing, payload limitation, Xilinx ZYNQ-7000 device, real-time virtual blind cane system, hardware implementation, FPGA, high performance computer, embedded system, computational complexity, line laser, inertial measurement unit, CMOS camera, Cameras, Field programmable gate arrays, Lasers, Real-time systems, Measurement by laser beam, Measurement units, Shape

Last updated on 2020-27-03 at 04:50