M Farid ud Din · imagine-talent

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GitHub

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Academic

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CGPA

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Year

2021

Education

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DOB

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Career

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Target role

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Skills

Machine learning, Computer Vision, Raspberry pi, Ultrasonic Sensor, Python

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.

Autonomous Luggage Carrier 
Autonomous luggage carrier is a user following robot that carries anything the user requires and 
follows him wherever he desires. This technology will help all sorts of people especially the elderly 
and the disabled who are unable to transport their luggage without some external help.  
We plan to deploy our carrier in airports, but this technology can be implemented in other public 
transport locations like railways and bus stations. It can also be used in the luggage loaders in 
airports that transport the luggage to airplanes. 
We wish to provide these luggage carriers to airports initially, where it can be used as a service for a 
simple cost. This product will be made user friendly as no complications will be introduced in 
connection of band and luggage carrier and this easiness means old, aged people can use it easily.  




































Technology Used: 

Machine learning, Computer Vision, Raspberry pi, 
 Ultrasonic Sensor, Python 

Supervisor Name: 

Engr. Aamer Munir 

Group Members:   

M Farid ud Din (i17 - 0401)

AI enrichment

M Farid ud Din is a student who developed an autonomous luggage carrier robot using machine learning and computer vision. The project, supervised by Engr. Aamer Munir, utilizes Raspberry Pi and Python to enable user-following capabilities for assisting elderly and disabled individuals.

Skills (AI)

["Machine Learning", "Computer Vision", "Raspberry Pi", "Ultrasonic Sensor", "Python"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Engineering - 2021 (Final) (1).pdf
From job #21 page 73
Created: 1778121293