Abstract
This paper introduces a novel travel for blind users that can assist them to detects location of doors in corridors and also give information about location of stairs. The developed system uses camera to capture images in front of the user. Feature extraction algorithm is used to extract key features that distinguish doors and stairs from other structures observed in indoor environments. This information is then conveyed to the user using simple auditory feedback. The mobility aid was validated on 50 visually impaired users. The subjects walked in a controlled test environment. The accuracy of the device to help the user detect doors and stairs was determined. The results obtained were satisfactory and the device has the potential for use in standalone mode for indoor navigations.
Highlights
Vision impairment means anatomic and functional disturbances of the sense of vision of sufficient magnitude to cause total loss of light perception
When a person has a normal vision, their visual acuity is rated 6/6 or 20/20. This rating indicates that a person who has a normal vision can read the letters on an eye chart which is designed to be seen at a distance of six meters or twenty feet away
We have presented developed mobility aid and door and stair detection algorithm that can help any visually impaired user to navigate in indoor environments
Summary
Vision impairment means anatomic and functional disturbances of the sense of vision of sufficient magnitude to cause total loss of light perception. The first aid for blind people was the long cane developed in 1950 and it is still in use today It allows the detection of obstacles very close to the user and requires instantaneous reaction when an obstacle is encountered. With the development of Bluetooth, radio waves, and RFID tags, few indoor mobility aids were designed using these technologies to help VI people detect door stairs and navigate in closed environments. The present paper propose algorithm to detect stairs and doors for indoor navigation This algorithm is a part prototype designed using stereo cameras that can be used to detect any obstacle from ground level to head height using depth mapping technique.
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