Many visually impaired people have experienced walk accident, e.g., died due to falling down from station platform, injured on stairs. They need a support to walk safely. So there have been many researches that aim to be helpful for visually impaired to walk themselves in safety. This study aims to develop a walking-support-system that can detect steps and stairs for visually impaired. Previous studies only used depth sensor, such as Kinect or Xtion. That way was not available in outdoors because of sunlight. This paper presents the method that uses RGB-D camera to detect stairs and steps by using RGB images and depth images without regarding indoors and outdoors. The effectiveness of the proposed method will be shown with some results.

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The purpose of this study is to make software of equipment that detects siren sound of ambulance and to program it on a microcontroller in the equipment. By using two times FFT (Fast Fourier Transform) on detecting, the characteristics of the siren sound could be converted into numerical values. Siren sound was detected properly even under the Doppler effect. The proposed method could detect the siren sound in which S/N ratio is approximately 0 dB.

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