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
2025-06-28 16:25:29 - Adil Khan
Autonomous Drone Delivery System
Project Area of Specialization Artificial IntelligenceProject SummaryModern 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
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
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 systemCore Industry TransportationOther IndustriesCore Technology Artificial Intelligence(AI)Other Technologies RoboticsSustainable Development Goals Industry, Innovation and Infrastructure, Sustainable Cities and Communities, Responsible Consumption and ProductionRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 71500 | |||
| FlySky i6 Radio Transmitter and Receiver | Equipment | 1 | 12800 | 12800 |
| Pixhawk Kit | Equipment | 1 | 28000 | 28000 |
| 4500 mAh LiPo Battery | Equipment | 1 | 8500 | 8500 |
| QuadCopter Plastic Frame | Equipment | 1 | 2600 | 2600 |
| Landing Gear | Equipment | 1 | 1800 | 1800 |
| Balance Charger + Charger | Equipment | 1 | 4200 | 4200 |
| Brushless Motor | Equipment | 4 | 900 | 3600 |
| Electronic Speed Controllers | Equipment | 4 | 850 | 3400 |
| Propellers (Pair) | Equipment | 2 | 300 | 600 |
| Motors and ESC repairs | Miscellaneous | 1 | 6000 | 6000 |