Idea - FICS

ActiveDrive

Team and Contact Details

Student Name School Degree Year Email
Uzair Bin YousafCEMEUndergraduateFourthuzairyusuf1998@gmail.com
Muhammad Danyal AsimCEMEUndergraduateFourthmohammaddanyal98@gmail.com
Aqib IlyasCEMEUndergraduateFourthmalik.ab454@gmail.com
Zeeshan AlamCEMEUndergraduateFourthzeeshanalam285@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: ActiveDrive
Slogan: Driver Drowsiness Detection System
Supervisor Name: Dr. Muhammad Usman Akram
Supervisor Designation: Assistant Professor
Supervisor School: CEME
Supervisor Department: Department of Computer Engineering
Contact number: 03336913921
Email ID: usmanakram@gmail.com
Abstract:
    A small and compact device that is installed in the vehicle dashboard and uses Image Processing and Deep Learning CNNs to detect signs of fatigue and drowsiness and prevents the driver from sleeping
What is the unmet need in society that your idea will fulfill ?
    Sleepy drivers are one of the main cause of road accidents in Pakistan, with this project we aim to reduce the amount of fatalities caused by drowsiness and keep the driver alert
Who needs it ? How many would benefit ?
   Nearly anybody who owns a 4 wheeled vehicle will benefit from it, people who go on long drives will benefit from it the most.
How will the solution works
    An IR camera will be installed behind the steering wheel that will continuously monitor the driver and feed the footage into a portable mini-computer installed in the dashboard where it will use pre-trained CNN models and image analysis and processing to look for any signs of fatigue and once done it will ring an alarm to notify the driver that he needs to rest.
Who are your competitors ? How is your solution different
    The motorway police introduced an anti-sleep device for drivers that checks for the position of the head, however it is a very inefficient device as by the time a person puts his head down he has already fallen in deep sleep. Our project will detect fatigue and sleepiness before the person sleeps.
Status: new
Entry Date & Time: 2021-01-10 (1934)