Idea - FICS

Forest Protect

Team and Contact Details

Student Name School Degree Year Email
Abdullah Bin IftikharSEECSUndergraduateFourthaiftikhar.bee17seecs@seecs.edu.pk
Muhmmad Abdullah TariqSEECSUndergraduateFourthMtariq.bee17seecs@seecs.edu.pk
Ajwad FarooqSEECSUndergraduateFourthafarooq.bee17seecs@seecs.edu.pk
Maria Irshad KhanSEECSUndergraduateThirdmariai.bsaf18nbs@nust.edu.pk

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

Idea Details

Idea Name: Forest Protect
Slogan: Enabling a sustainable livelihood
Supervisor Name: Dr. Usman Zabit
Supervisor Designation: Professor
Supervisor School: SEECS
Supervisor Department: SEECS
Contact number: +923215644630
Email ID: usman.zabit@seecs.edu.pk
Abstract:
    Our idea aims at tackling a long existing environmental and economic problem of human-driven deforestation by an early warning and real time forest surveillance system.
What is the unmet need in society that your idea will fulfill ?
    Currently, not many applications focus on the control of deforestation. Rather, techniques rely on recycling, planting new trees etc. Our real time system aims at preventing illegal logging via surveillance on millions of hectares of forest land, that is not possible otherwise by forest guards.
Who needs it ? How many would benefit ?
   Forests conservation agencies around the world need this solution to prevent illegal logging. It can be tailored for agriculture and other mass-area monitoring based applications. This will benefit billion-dollar timber market and will help in reducing global warming and climate change.
How will the solution works
    The forest surveillance system comprises: Early Warning system using open-source US Geological Landsat Satellite (refresh rate of a week), providing an aerial view of the coordinates. Image Processing is employed to monitor the greenery/tree-count. Upon detecting a drop of greenery/tree count in the geological coordinates, real-time acoustic sensors-based nodes are deployed for in-depth monitoring of forest using Neural Networks. Concerned authorities are informed upon detection of wood cutting.
Who are your competitors ? How is your solution different
    Our competitors, such as, globalforestwatch and sensia solutions make use of costly radar, airborne (cameras) and satellite-based techniques those aren’t directly available. We aim to provide our real time remote sensing tool directly in hands of forest guards that is effective and less costly.
Status: new
Entry Date & Time: 2021-01-10 (1841)