Idea - FICS

Project ROAD

Team and Contact Details

Student Name School Degree Year Email
Arzem Atif CheemaMCSUndergraduateFourthslammer.arzem@gmail.com
Abdul MoqueetMCSUndergraduateFourthambutt313@hotmail.com
Muhammad Awais NoorMCSUndergraduateFourthawaisnoorsatti210@gmail.com
Junaid JavedMCSUndergraduateFourthjunaidjaved0078@gmail.com

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

Idea Name: Project ROAD
Slogan: Your driving assistant
Supervisor Name: Hammad Afzal
Supervisor Designation: Professor
Supervisor School: MCS
Supervisor Department: Software Engineering
Contact number: 03348507435
Email ID: hammad.afzal@mcs.edu.pk
Abstract:
    R.O.A.D is a desktop application which will provide a deeper insight to image processing, computer vision and will enabling different aspects of lane detection and improving the results using ML.
What is the unmet need in society that your idea will fulfill ?
    Humans while driving have a disadvantage of not always being attentive (whether it be changing the radio or of being tired etc.) while a computer, if trained, can always be fully attentive at detecting lanes.
Who needs it ? How many would benefit ?
   It is mainly needed by anyone who drives. As it would benefit those who are not attentive while driving as it would detect lanes on the road.
How will the solution works
    The system will acquire videos from the directory’s address entered by user. Check video format. System will divide video in to frames and transmit frames to the trained model. The model will be able to extract feature data for each frame. The model will then assess the features data and based on it, will provide the final visualizations of lane detection in video. 
Who are your competitors ? How is your solution different
    Our solution is different as it will be trained or deployed on Pakistani roads, so this will make it unique as a pakistani road's dataset will be prepared especially for this.
Status: new
Entry Date & Time: 2021-01-09 (1659)