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Affan Arif

FAST · 2022 · I18-0484

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Phone

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GitHub

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Academic

Program

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CGPA

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Year

2022

Education

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Address

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DOB

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Career

Current role

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Target role

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Skills

Python, Raspberry Pi, OpenCV, PyTorch, TensorFlow, Deep Learning, Stereo Cameras, Ultrasonic Sensors

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

AuxVision 

“AuxVision – Assisted Vision for the Visually Impaired” aims to change the lives of the visually impaired by enabling them to navigate autonomously in indoor environments. To accomplish this task, we rely on hardware components such as different sensors to perceive the environment. All of this has been combined to make a wearable device. Our sensors include the following: 
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Ultrasonic sensor. 
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Stereo camera.
Using these sensors, we scan the environment around the individual, identify the types of objects in the vicinity and at what distance they are to the person through depth estimation with stereo cameras. In case of potential collision, the user is informed through data from ultrasonic sensor so they can alter their direction of movement. For object detection we are using deep learning model. All of this information is converted from textual format to speech for the person to interpret. This allows them to make an informed decision as to what they want to do. 



















Technology Used: 
Python, Raspberry Pi, OpenCV 
PyTorch, TensorFlow 
Supervisor Name: 
Dr. Zohaib Iqbal 
Group Members:   
Ali Asghar (I18 - 0475) 
Affan Arif (I18 - 0484) 
Buraq Khan (I18 - 0800)

AI enrichment

Affan Arif is a student who contributed to a group project developing an assisted vision wearable device for the visually impaired. The project utilized stereo cameras and ultrasonic sensors combined with deep learning models for object detection and depth estimation.

Skills (AI)

["Python", "Raspberry Pi", "OpenCV", "PyTorch", "TensorFlow", "Computer Vision", "Deep Learning", "Object Detection", "Depth Estimation"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 220
Created: 1778170963