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dc.contributor.author | Shakeel, Laraib | |
dc.contributor.author | Sanabel, Syeda | |
dc.contributor.author | Imran, Muhammad | |
dc.date.accessioned | 2021-12-09T05:37:38Z | |
dc.date.available | 2021-12-09T05:37:38Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://hdl.handle.net/123456789/11339 | |
dc.description | Supervised by Engr. Naveera Sami | en_US |
dc.description.abstract | The aim behind our project is to facilitate the visually impaired people through our Wearable Smart Device that would assist the visually impaired people by avoiding any type of obstacles in their path so they move more freely. It will permit the blind people to explore new environment, more securely and independently. There are various technologies that increase the independency ofvisually impaired people life, but these technologies and other assistive devices are still lacking in certain areas. This wearable smart device will sense any obstacles in their path, detect the objects, table, chairs, and door, detect stairs and will send feedback through proper voice command. Normally blind people traditionally used white cane, stick for traveling but some time they feel awkward they need light weighted portable device so they easily carry anywhere so we want to enhance the functionality as well as increased the accuracy. Our device will ensure the blind person safety and security. Here an effort has been made to develop a smart wearable device using raspberry pi for obstacle detection using IR sensor alert through voice indication via handsfree, GPS and ESP for real-time location tracking, in order to tracked the location Blind assistant App has been developed, used Pi camera for object recognition like table,chairs,stairs,door. The objective is to create a device which helps the visually impaired people to easily move in the environment. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Bahria University Karachi Campus | en_US |
dc.relation.ispartofseries | BCE;MFN BS 43 | |
dc.subject | Obstacle Detection, Object Recognition, Location Tracking, Mobile Application | en_US |
dc.title | Wearable Smart Device for Visually Impaired People | en_US |
dc.type | Thesis | en_US |