Drone delivery features and tech stack

1. An Autonomous Drone
Presented by
Group No. 10
Tauseef Ahamd Malik: (CSE-21-18)
Faheem Firdous: (CSE-21-25)
Haziq Zubair: (CSE-21-SL-72)
Department of Computer Science and Engineering
Islamic University of Science & Technology, Kashmir – 192122
December, 2024

2. Introduction
1 The purpose of this project is to develop an autonomous
drone system for efficient and reliable mail delivery within
a university campus.
The drone integrates autonomous navigation and
manual control via a web application, enabling
seamless delivery and user interaction.
2
3 Demonstrates the potential of automation in
solving logistical challenges

3. Problem statement
1 Inefficient Transport
Time-consuming and labor-
intensive.
2 Weather Constraints
Harsh conditions hinder
efficiency.
3 Human Strain
Physical demands on employees.

4. Objectives
Automated Delivery
Eliminates human intervention.
Increased Speed
Faster delivery of vital information.
Improved Efficiency
Optimizes operations in all
conditions.
1 2
3

5. Methodology
Drone Design
Custom-built for optimal performance.
Software Development
Integration of autonomous navigation.
Mobile App Control
Real-time monitoring and management.

6. Dataset
Custom Navigation GPS Coordinates
External Datasets UAV123, KITTI, simulated
environment

7. System Architecture
Drone Hardware
Custom-designed for efficient
operation.
Autonomous Navigation
Utilizes AI for accurate path
planning.
Mobile App Interface
Provides real-time control and
monitoring.

8. Conclusion
Streamlined Operations
Reduced human intervention,
enhanced productivity.
Faster Delivery
Real-time document delivery, improved
turnaround.
Improved Safety
Minimized risk in harsh environments.

9. Future Scope
1 Advanced AI Integration
Enhanced object recognition and obstacle avoidance.
2 Multi-Drone Coordination
Collaboration for optimized route planning and delivery.
3 Integration with Smart Infrastructure
Seamless integration with existing systems for greater
efficiency.

10. References
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