Welcome to the Bahria University DSpace digital repository. DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.
| dc.contributor.author | Hania Tarik, 01-132172-036 | |
| dc.contributor.author | Aleeze Tauseef, 01-132172-006 | |
| dc.contributor.author | Maria Khalid, 01-132172-014 | |
| dc.date.accessioned | 2023-09-11T08:54:05Z | |
| dc.date.available | 2023-09-11T08:54:05Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/16190 | |
| dc.description | Supervised by Ms. Tooba Khan | en_US |
| dc.description.abstract | Smart cane is a useful technology that is being researched and developed to enhance the navigation of the visually impaired through smart obstacle detection. Moreover, artificial intelligence is being incorporated into these devices to provide users with a sense of vision and allow them greater independence. However, these devices are expensive and often do not contain the desired functionality in a compact single device. Project I-CANe aims to create a low-cost, single-device system that is equipped with obstacle detection and identification features to enhance navigation for users without using multiple detection devices. The cane will also incorporate wireless communications for safety features such as GPS tracking and GSM communication to allow maximum independence of the user. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Computer Engineering, Bahria University Engineering School Islamabad | en_US |
| dc.relation.ispartofseries | BCE;P-2385 | |
| dc.subject | Computer Engineering | en_US |
| dc.subject | Configuration of R Pi camera | en_US |
| dc.subject | YOLO | en_US |
| dc.title | I-Cane: An Intelligent Cane For The Visually Impaired | en_US |
| dc.type | Project Reports | en_US |