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Projects Details
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A system for
dynamic routing and scheduling of public busses
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Students:
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Ahmad Helmy, Abdullah Hegazi,
Abdullah Al-Zaid, Ameen Al-Ibrahim, and Ibrahim
Al-Humam
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Supervisor:
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Dr. Muhammad Elrabaa
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Current
public transit systems are very inefficient and costly for municipalities to
run. The main reason is that bus routes and schedules are fixed; a bus will
have to go over its entire route even if some stops have no passengers. There
are other inconveniences like having to walk to the nearest bus station which
could be far, paying the ticket in cash, waiting in the bus station not knowing
where the bus is, and not being able to track the bus (e.g. by parents in
case their children ride the bus). This project aims at developing a system
that can be marketed to municipalities or private transportation companies.
The system allows passengers to order a ride (specifying their pick-up/drop
locations) with certain time guarantees (in this case < 1.5 minutes/Km of
journey) , track the bus, and pay from their account. So passengers are
alerted just few minutes before the bus arrival so they can walk to a near
location (the nearest street) for pick-up. Passengers would Also, for the
operators, buses are dispensed based on needs; routes are dynamically
calculated and updated based on passenger demands.
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Using Multiple
Self-Coordinating Autonomous Robots to Navigate Generate a Building Map
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Students:
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Mohammad Al-Harbi, Khaled Alhouty,
Hussam Baafeef, and Khaled Alofi
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Supervisor:
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Dr. Uthman Baroudi
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Many
times a map of a building need to be generated (for evacuation) but the building cannot be accessed by
humans due to some dangerous conditions. This project aims at developing a
system that utilizes multiple autonomous robots to go into the building,
coordinate among themselves and generate a map for the building. The robots
have multiple sensors and video cameras where they detect boundaries and
obstacle, stream video out to the operator, execute certain algorithms for
navigation and map generation both locally and on a cloud.
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A Muslim
Prayer Aid for People with Obsessive Compulsive Disorder (OCD)
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Students:
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Aussamah Hantool, Saad Albaz,
Abdulrahman Albar, and Mohammed Al Shoyoukh
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Supervisor:
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Dr. Yahya Osais
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To
help doctors who are treating OCD patients who perform repeated actions and
thoughts, a prayer observation system was developed. Using computer vision
and gesture recognition, the system reports to the practitioner, the
unnecessarily repeated prayer movements. A depth sensor is used to capture
the basic movements and postures of te patient during prayers, which is sent
to a cloud for further processing and providing records for the doctors.
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A Low-Cost
Luggage Tracking System
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Students:
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Ahmed Bajubair and Mahdi Sahel
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Supervisors:
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Drs. Wasim Raad and Muhammad Elrabaa
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Travelers
often stand up next to luggage conveyor belts at airports for a long time
waiting for their luggage (which sometimes do not arrive with them on the
same flight!). This project aims at developing a system based on a low-cost
RFID technology to track passengers' luggage. Passengers would know in
advance if their luggage had arrived with them on the same flight and get
alerted when their luggage actually make it to the conveyor belt, so they can
relax till then.
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