Rescue Copter

A remote controlled device that can identify living things from a distance using its     built-in thermal camera and custom software. A device that can save millions of lives by the power of a small touch on the remote control. It, not only, can save humanity but it can s

Project Title

Rescue Copter

Project Area of Specialization

Artificial Intelligence

Project Summary

A

remote controlled device that can identify living things from a distance using its     built-in thermal camera and custom software. A device that can save millions of lives by the power of a small touch on the remote control. It, not only, can save humanity but it can save millions of funds for the rescue institutions and governments. It can cross the limitations of a human eye. It can help to capture a vision that a naked eye cannot perceive. A device that can help the rescuers to equip themselves with the right equipment need for the rescue before the time of arrival and a device that can help rescuers to make night-time rescue operations as easy as day-time operations.

Project Objectives

• To help the person in need as soon as possible
• Save people’s lives in an efficient way
• To make rescuing cost effective for the rescuers and the governments
• To make rescuing time effective for the rescuers and the governments
• To make night-time rescue operations as easy as day-time operations

Project Implementation Method

The method we are planning to implement is that firstly we will use an already made Processing board for our specific purpose. We will train software on the board with our dataset and create a model to help us predict future objects. We will fly the copter in the air and will record all the humans below as thermal objects as live action in different scenarios and weather conditions as well. We will refine image data and sort them out as humans. Then we will create model for our project and will help the model to be trained by the raw image data that we filtered and sorted earlier. We will use different architectures and algorithm of deep learning to find out which infrastructure will give the best accuracy to our model. When we will receive our best model with highest accuracy, we will put our trained model into the Processing board. After training the saved weights in the model on the board, we will set a specific time interval to take still images from the live video on the screen and at the same time those images will be compared with our model in the board. After comparing it will be able to show the result by identifying the objects as humans.

Benefits of the Project

• Rescue operations will be cost and time effective
• They will have a successful ratio of rescuing
• Rescue operators will be able to gather the right equipment before their journey.
• They will be able to save more lives in less time
• They can set priorities regarding the death of people

Technical Details of Final Deliverable

Our final product will consist of a quad copter as the base with Processing Board and a thermal camera attached to it. The Jetson board will have our trained software model built-in. The consumer will be ready to launch the quad copter in the air and begin identifying objects live!

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

IT , Health , Security , Telecommunication

Technologies

Artificial Intelligence(AI), Internet of Things (IoT)

Sustainable Development Goals

Industry, Innovation and Infrastructure, Life on Land, Partnerships to achieve the Goal

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com