Introduction

Project AeroDeliver aims to automate the delivery process using drones equipped with advanced navigation and object detection systems. It reduces delivery times and operational costs.

Key Features

• Autonomous Navigation: Drones use GPS and computer vision for precise navigation.
• Obstacle Avoidance: Real-time object detection to avoid collisions.
• Package Tracking: Live tracking of deliveries through a mobile app.
• Fleet Management: Centralized control for managing multiple drones.

Technical Insights

• Embedded Systems: Programmed drone controllers using C++ and ROS for real-time operations.
• Computer Vision: Used OpenCV for object detection and obstacle avoidance.
• Cloud Integration: Leveraged AWS IoT for communication between drones and the control center.
• Mobile App: Developed a companion app for users to track deliveries and provide feedback.

Challenges and Solutions

• Navigation Accuracy: Integrated GPS with computer vision to improve navigation in urban areas.
• Battery Life: Optimized flight paths to conserve energy and extend battery life.
• Regulatory Compliance: Ensured compliance with local aviation regulations for drone operations.

Outcome

Project AeroDeliver successfully completed pilot tests in a suburban area, demonstrating its potential to transform last-mile delivery. It received interest from logistics companies for further development.