Habib, Ahsan and Islam, Md. Milon and M. Nomani, Kabir and Mredul, Motasim Billah and Hasan, Mahmudul (2019) Staircase Detection to Guide Visually Impaired People: A Hybrid Approach. Revue d'Intelligence Artificielle, 33 (5). pp. 327-334. ISSN 0992499X. (Published)
|
Pdf
Staircase Detection to Guide Visually.pdf Download (1MB) | Preview |
Abstract
Eyes and visionary organs are an essential part of human physiology, since they are capable of receiving and processing subtle details to the brain. Some individuals are not capable to visually perceive things around the environment. They face various types of hindrances such as obstacles, potholes, staircases, pedestrians and vehicles in the daily life and are not able to navigate themselves without a guidance. This study aims to help visually impaired people to navigate around the surroundings. A hybrid approach was developed for the detection of staircase and the ground using a pre-trained model and an ultrasonic sensor. In the proposed system, staircase images are captured via an RGBD camera and compared with pre-trained template images for detection. The developed system that employs an ultrasonic sensor, an RGBD camera, a raspberry pi and a buzzer is installed on a stick. Under a variety of conditions, the proposed system was tested using different stair images and achieved an accuracy of 98.73% in average. The system works well under various conditions, such as dark and noise.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | staircase detection, visually impaired people, sensors, computer vision, faster R-CNN |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Dr. Muhammad Nomani Kabir |
| Date Deposited: | 23 Mar 2020 03:54 |
| Last Modified: | 23 Mar 2020 03:54 |
| URI: | http://umpir.ump.edu.my/id/eprint/27087 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |