M Jawad Hussain
FAST
· 2021
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i17 - 0488
Email
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Academic
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CGPA
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Year
2021
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Career
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Skills
Machine learning, Computer Vision, Raspberry pi, Ultrasonic Sensor, Python
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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) M Jawad Hussain (i17 - 0488
Provenance
Source file: Graduate Directory FAST School of Engineering - 2021 (Final) (1).pdfFrom job #21 page 73
Created: 1778223763