Volume 7 Issue 1 - May 2016

  • 1. Aid for blind person

    Authors : Jitendra Shukla, Warsha Kandlikar

    Pages : 629-635

    DOI : http://dx.doi.org/10.21172/1.71.061

    Keywords : Keywords—Moving object detection, tracking, Gaussian mixture model estimation, morphological operation, blob analysis, Raspberry pi . Ultrasonic sensor background and foreground detection.

    Abstract :

    For blind people navigation is the hard task in their day to day life, So we have developed navigate assistance for blind person a compact system with a hardware raspberry pi, camera and ultrasonic sensor is formed. The proposed system is mounted on waist . This system gathers information for blind person to navigate. In this system if there is an obstacle in the path the beep sound will be played, afterward a camera will start and using image processing system will detect whether the obstacle is moving or non moving and it coming toward are going away by comparing current frame with reference frame if object coming toward then intensity of frame continuously increase. Moving object detection is based on Gaussian mixture model and Computer vision tool box. Moving object detection involves identification of an objecting consecutive frames and object detection is used to monitor the movements with respect to the region of interest.This system is implemented in two parts, one is using background and foreground detection in MATLAB and second part is Raspberry pi python programing.

    Citing this Journal Article :

    Jitendra Shukla, Warsha Kandlikar, "Aid for blind person", https://www.ijltet.org/journal_details.php?id=901&j_id=3077, Volume 7 Issue 1 - May 2016, 629-635, #ijltetorg