Buraq Khan
FAST
· 2022
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I18-0800
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Year
2022
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Skills
Python, Raspberry Pi, OpenCV, PyTorch, TensorFlow, Deep Learning, Stereo Cameras, Ultrasonic Sensors
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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: - Ultrasonic sensor. - 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
Buraq Khan is a student who contributed to AuxVision, a wearable device project designed to assist visually impaired individuals in navigating indoor environments. The project utilized stereo cameras for depth estimation and object detection, along with ultrasonic sensors for collision avoidance, processed via Python and deep learning models.
Skills (AI)
["Python", "OpenCV", "PyTorch", "TensorFlow", "Raspberry Pi", "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).pdfFrom job #25 page 220
Created: 1778149999