S.C.A.W. (Smart Collision Avoidant Wheelchair) was the University of Kent Computer Systems Engineerings’ Second Year Final Project.
S.C.A.W. is a remote-controlled wheelchair which senses and avoids obstacles, detects falls, triggers emergency SMS containing the exact GPS Location of the wheelchair displayed in Google Maps in case of any fall. SMS is sent to the emergency contacts of the user. S.C.A.W. also supports automated parallel parking.
I served as the project team leader and was supposed to have 3 other team members (2 of them left the university in the beginning of the year). I was able to successfully accomplish the project, earning a distinction mark (75) even though all other teams were fully staffed and had less management then I did.
Leadership, Time Management and Risk Management allowed me succeed in this task and to finish on time without any needs for extensions nor special case considerations.
S.C.A.W. uses embedded ATMEGA328 (Arduino) ICs, NRF24L01 2.4 GHz Transceivers, Ultrasonic Sensors, IR Sensors, Gyroscope, SIM900 Module, OLED Screen and much more.
Many libraries were used and some of them were modified in order to have them co-exist in the same project.
The Beast, University of Kent Computer Systems Engineering first-year project was a line follower robot which takes into consideration some tweaks and shortcuts and handles some extra special quests (obstacle avoidance, turn around 360 degrees and re-calibrate on the line etc.)
Fully designed and implemented by Jihad Dib, the project was a first-hand experience with robotics, PCB design, and embedding systems.
This project was the star of the University of Kent V.S. Université Paris X Nanterre Robotics Competition.
For the Logbook and Project Details please Click Here
University of Kent V.S. Université Paris X Nanterre Robotics Competition ( 1st Place )
IET Award for Best Overall Design and Performance Undergraduate 1st Year Robotics Competition ( 1st Place )
Judges Award for Imaginative Software and Hardware Design in the Rapid Electronics Undergraduate 1st Year Robotics Competition