Staircase Detection to Guide Visually Impaired People: A Hybrid Approach
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,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Information and Engineering Technology Association
2019
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/27087/1/Staircase%20Detection%20to%20Guide%20Visually.pdf |
| _version_ | 1796993809658150912 |
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| author | Habib, Ahsan Islam, Md. Milon M. Nomani, Kabir Mredul, Motasim Billah Hasan, Mahmudul |
| author_facet | Habib, Ahsan Islam, Md. Milon M. Nomani, Kabir Mredul, Motasim Billah Hasan, Mahmudul |
| author_sort | Habib, Ahsan |
| collection | UMP |
| description | 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. |
| first_indexed | 2024-03-06T12:39:02Z |
| format | Article |
| id | UMPir27087 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:39:02Z |
| publishDate | 2019 |
| publisher | International Information and Engineering Technology Association |
| record_format | dspace |
| spelling | UMPir270872020-03-23T03:54:46Z http://umpir.ump.edu.my/id/eprint/27087/ Staircase Detection to Guide Visually Impaired People: A Hybrid Approach Habib, Ahsan Islam, Md. Milon M. Nomani, Kabir Mredul, Motasim Billah Hasan, Mahmudul QA75 Electronic computers. Computer science 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. International Information and Engineering Technology Association 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27087/1/Staircase%20Detection%20to%20Guide%20Visually.pdf 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) https://doi.org/10.18280/ria.330501 https://doi.org/10.18280/ria.330501 |
| spellingShingle | QA75 Electronic computers. Computer science Habib, Ahsan Islam, Md. Milon M. Nomani, Kabir Mredul, Motasim Billah Hasan, Mahmudul Staircase Detection to Guide Visually Impaired People: A Hybrid Approach |
| title | Staircase Detection to Guide Visually Impaired People: A Hybrid Approach |
| title_full | Staircase Detection to Guide Visually Impaired People: A Hybrid Approach |
| title_fullStr | Staircase Detection to Guide Visually Impaired People: A Hybrid Approach |
| title_full_unstemmed | Staircase Detection to Guide Visually Impaired People: A Hybrid Approach |
| title_short | Staircase Detection to Guide Visually Impaired People: A Hybrid Approach |
| title_sort | staircase detection to guide visually impaired people a hybrid approach |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/27087/1/Staircase%20Detection%20to%20Guide%20Visually.pdf |
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