| dc.contributor.author | Muhammad Haseeb Ayub, 01-134122-065 | |
| dc.contributor.author | Mustafa Saeed, 01-134122-081 | |
| dc.date.accessioned | 2017-05-11T07:10:41Z | |
| dc.date.available | 2017-05-11T07:10:41Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/574 | |
| dc.description | Supervised by Dr. Sumaira Kausar | en_US |
| dc.description.abstract | This report presents an overview of an android application developed for blind people to help them walk without help from anyone as it is not necessary that someone is always available to guide them. So our main scope is to help blind people walk without pending on anyone. The application is going to be used in fixed environment (indoor), and it will only be able to detect limited obstacles in start and later we will add as many objects as we can. The application would be using the rear camera of the phone for detection of obstacles on the way. To use this application, you need to have an android device with android jellybean 4.3 or later, and your device should have a good camera. Light is very important factor for this application to work properly. It works by matching the local image with the model images in the system by matching their key points and features using ORB algorithm. If the match is found, then voice alert is generated about that object to warn the user so that he/she can change his/her path or stop to avoid collision with objects. The application would be done using concepts of Digital Image Processing and It would be an Android based application using java language. The tool on which we have developed the application is Android Studio. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Bahria University Islamabad Campus | en_US |
| dc.relation.ispartofseries | BS (CS);P-5745 | |
| dc.subject | Computer Sciences, Java, Digital Image Processing, Android | en_US |
| dc.title | Obstacle Detector for Blind People | en_US |
| dc.type | Project Reports | en_US |