Idea Details

Team and Contact Details

SNo Student Name School Degree Year Email
1Muhammad HarisMCSUndergraduateFourthhrisfteh@gmail.com
1Naiha MubashirMCSUndergraduateFourthnaihamubashir@gmail.com
1Mubashir IlyasMCSUndergraduateFourthMubashirilyas@hotmail.com
1S.M.Umer LatifMCSUndergraduateFourthlatifumer97@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: Pollen-Tree Classifier
Slogan: Pollen Hunt !!
Supervisor Name: Dr Hasnat Khurshid
Supervisor Designation: Assistant Professor
Supervisor School: Military College of Signals (MCS)
Supervisor Department: Department of Computer Software Engineering
Contact number: 03218580900
Email ID: hasnat@mcs.edu.pk
Abstract:
    Automatic detection and classification of trees through aerial Imagery using Deep Neural Network. The primary concern of the enterprise is to identify "pollen trees" and generate a generalized report.
What is the unmet need in society that your idea will fulfill ?
    According to Pakistan Meteorological Department,the total pollen count in Islamabad for the year 2018 is 43330 per meter cube approximately because of the population of Paper Mulberry Trees.Our idea is to provide a density map of already classified pollen trees to help government solve this issue.
Who needs it ? How many would benefit ?
   The recent statistics issued by Pakistan Institute of Medical Sciences (PIMS) estimates that more than 130,000 patients with pollen allergy symptoms registered this spring at Islamabad’s various health facilities. Therefore, classification of pollen trees is the utmost task to be considered.
How will the solution works
    Our main approach is to obtain the aerial imagery using drone and then maintain it as a data-set ,which is processed by using competent and effective Deep neural network techniques to extract various features which are then feed to train model. Afterwards, it is deployed to detect and classify the different species of trees with primary objective to identify pollen trees specifically. A complete and comprehensive Framework will be provided to solve this very issue.
Who are your competitors ? How is your solution different
    Our proposed solution is state of the art to solve the issue of pollen allergy by the classification of pollen trees to attenuate their density and control their growth through enhanced versions of map provided by our framework. This enterprise is first of its kind.
Status: new
Entry Date & Time: 2018-12-21 (1259)