Entrance detection and distance classification application for visually-impaired people | |
| Author | Kumar, Sunjay |
| Call Number | AIT RSPR no.ICT-17-01 |
| Subject(s) | Machine learning Detection People with visual disabilities |
| Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Science in Information and Communication Technologies, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. ICT-17-01 |
| Abstract | About 285 million people worldwide are visually impaired (VI). The most of VI people lives in developing nations and are between the aged people. One of the most challenging tasks is faced by the VI is building entrance recognition, the innovation and rise of technology gives the ability to develop the application to assist the VI. The current approaches are able to provide the intelligent system which can be assisted by additional methods and techniques to provide the solution for VI people. Building entrance detection and distance measurement system. It is based on the AIT Doors and Stairs only targeted objects would be detected to prove the current system techniques. The Deep Machine learning Algorithms are used to develop that efficient system. There is huge dataset information is collected to perform the proposed system whereas Image processing is applied for tracking the object and CNN Keras with Tensorflow backend are the approaches for above mentioned problem to overcome by this study. |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. ICT-17-01 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information and Communication Technology (ICT) |
| Chairperson(s) | Sarawut Ninsawat; |
| Examination Committee(s) | Tripathi, Nitin Kumar;Dailey, Matthew N.; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Research Studies Project Report (M. Sc.) - Asian Institute of Technology, 2017 |