Autonomous Drone Delivery System

Modern day delivery systems cause carbon emissions, traffic issues, and require direct human input. Automating this system with an autonomous, green, flight system would be very beneficial to the future of delivery systems, as delivery is becoming an increasingly common method of getting shopping do

Project Title

Autonomous Drone Delivery System

Project Area of Specialization

Artificial Intelligence

Project Summary

Modern day delivery systems cause carbon emissions, traffic issues, and require direct human input. Automating this system with an autonomous, green, flight system would be very beneficial to the future of delivery systems, as delivery is becoming an increasingly common method of getting shopping done, be it for food or accessories. Many large companies are already looking into this, but a complete solution does not exist. Using tools like ArduPilot Mission Planner, OpenCV and Pixhawk, we plan to make and program a drone that can deliver a parcel from Point A to Point B autonomously without human input.

Project Objectives

• Reducing carbon emissions
• Reducing traffic in general
• Fast delivery of urgent items (eg medical supplies)
• Address and contribute towards achieving UN 2030 SDGs to achieve a better and more sustainable future for all, specifically targeting SDG 9, 11 and 12
• Provide a reliable and convenient platform for customers to order and receive parcels

Project Implementation Method

Step 1: Research and procure drone parts

Step 2: Assembly of drone parts along with soldering and connecting ports and circuitry 

Step 3: Calibrating drone compass, flight controller, radio transmitter, motors and ESCs

Step 4: Manual flight testing using radio controller

Step 5: Automated flight testing using Mission Planner

Step 6: Programming precision landing (using Raspbery Pi via downward facing camera and Aruco markers)

Step 7: Concurrently designing a mobile application for the user to place and track orders

Benefits of the Project

• Reducing carbon emissions
• Reducing traffic in general
• Fast delivery of urgent items (eg medical supplies)
• Address and contribute towards achieving UN 2030 SDGs to achieve a better and more sustainable future for all, specifically targeting SDG 9, 11 and 12

Technical Details of Final Deliverable

A quadcopter drone capable of autonomous flight while carrying a maximum payload of 900g for 20 minutes, alongside a mobile application developed for users to send their order details and location. Using these two pieces of information, the quadcopter will autonomously carry the order to the user's location and return to base (RTB). 

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Transportation

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Robotics

Sustainable Development Goals

Industry, Innovation and Infrastructure, Sustainable Cities and Communities, Responsible Consumption and Production

Required Resources

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