Proesentation on idea

1. Basic Details of the Team and
Problem Statement
Student Innovation
PS Code: SM970
Problem Statement Title: UAV based Disaster Management
Detection on Multispectral Images from UAVs for Rescue
Operations
Team Name: Team DWM Amity
Team Leader Name: Rishabh Tiwari
Institute Code (AISHE): U-0497
Institute Name: Amity School of Engineering and Technology,
Amity University Uttar Pradesh, UP, India
Theme Name: Disaster Management (Hardware)

2. Idea/Approach Details
Describe your idea/Solution/Prototype here:
 In this work we demonstrate the design of most modern versions of Unmanned Aerial
Vehicles or Drones integrated systems with the help of computer vision and deep learning
from the aspect of safer identification of dangerous effluent materials during Disaster waste
management.
 In the processing of aerial photographs, both photogrammetric data processing algorithms
(for constructing orthophoto plans of objects and 3D modeling) and procedures for thematic
interpretation of photo images is used.
 Our work follows most of the basic requirements for disaster management operations,
which are listed in both Indian and foreign regulations, can be controlled by unmanned
aerial imagery.
 It discusses the advantages of air imagery in comparison with space imagery (detail of
images, operational efficiency), as well as in comparison with ground inspections (speed,
personnel safety). It is shown that in many cases, interpreting the obtained aerial
photographs for technological monitoring tasks does not require special image processing
and can be performed visually.
 Based on the analysis of the available world experience, as well as the results of the study,
it was concluded that unmanned aerial imagery has great potential for solving problems of
disaster waste management.
2
Describe your Technology stack here:
 AutoCad for 3D modelling of the
drone.
 Python with TensorFlow for the Deep
Learning model which will detect
object.
 WasteNetLab Architecture for
 OpenCV with Python
Conceptual Draft and Graphical Abstract

3. Idea/Approach Details
Describe your Use Cases here
⮚ Waste Object classification for classification of
disaster generated waste and proper disposal.
⮚ Remote Surveying the accidental disaster or
catastrophe struck location in search of human lives.
⮚ Landfill Monitoring and cell management for Air
space calculation methane level monitoring in
Landfills to eliminate the possibility of landfill
contamination disaster management.
3
Describe your Dependencies / Show stopper here
⮚ GPS module : ProfiCNC HERE 2
⮚ Autopilot : PixHawk 2
⮚ UART (Universal Asynchronous Receiver
Transmitter)
⮚ Electronic Speed Controller (ESC)
⮚ Thermal Sensors with High-Definition Camera

4. Team Member Details
Team Leader Name: Rishabh Tiwari
Branch : BTech Stream (ECE, CSE etc): ECE Year (I,II,III,IV): IV
Team Member 1 Name: Thota Ashavanthini Krishna
Branch : BTech Stream (ECE, CSE etc): ECE Year (I,II,III,IV): IV
Team Member 2 Name: Rishabh Sachan
Branch : BTech Stream (ECE, CSE etc): ECE Year (I,II,III,IV): IV
Team Member 3 Name: Arshdeep Singh
Branch : BTech Stream (ECE, CSE etc): Robotics Year (I,II,III,IV): II
Team Member 4 Name: Syed Danyal Shah
Branch : BTech Stream (ECE, CSE etc): Robotics Year (I,II,III,IV): II
Team Member 5 Name: Suryansh Kundra
Branch : BTech Stream (ECE, CSE etc): ECE Year (I,II,III,IV): IV
Team Mentor 1 Name: Dr. Ashwani Kumar Dubey
Category : Academic Expertise : IoT Domain Experience (in years): 14