Drone_as_a_Service_Autonomous_Robotics_Only_Arrows.pptx

Drone use in military and civilian

1. → Drone-as-a-Service (DaaS) & Autonomous Robotics → Presented by: Ebin A.V. → Holy Grace Polytechnic College, Mala

2. → Introduction → Drones are unmanned aerial vehicles (UAVs) capable of autonomous flight. → Evolved from manual remote-controlled systems to intelligent autonomous robots. → Drone-as-a-Service (DaaS): A model where drone capabilities are provided on demand.

3. → What is DaaS? → Subscription or pay-per-use model for drone operations. → Enables industries to use drones without owning them. → Common applications: delivery, mapping, inspection, and surveillance.

4. → DaaS Architecture → Cloud-based control and data management. → IoT sensors collect real-time data. → AI and Edge Computing enable quick decision-making. → 5G networks allow low-latency operations.

5. → Role of Autonomous Robotics → Self-navigation and decision-making robots. → Swarm robotics: multiple drones collaborating. → Integration with ground robots for coordinated missions.

6. → Applications of DaaS → Agriculture – Crop monitoring, spraying, soil analysis → Military – Surveillance, tactical missions → Disaster Management – Search & rescue, damage mapping → Logistics – Drone delivery (Amazon Prime Air) → Infrastructure – Inspection of bridges, towers, solar panels

7. → Technologies Involved → AI & Machine Learning for decision-making. → GPS & GIS for navigation. → Computer Vision for object detection. → LiDAR & Sensors for obstacle avoidance. → Cloud Computing & 5G for data processing.

8. → Advantages → Cost-effective & scalable. → Real-time monitoring & analytics. → Safe for hazardous operations. → Reduces manpower requirements.

9. → Challenges → Battery limitations & short flight times. → Privacy and regulatory restrictions. → Cybersecurity threats. → Weather and environmental limitations.

10. → Future Trends (2025 & Beyond) → Integration with 6G networks for instant communication. → AI-driven drone fleets for smart cities. → Eco-friendly drones using solar or hydrogen energy. → Autonomous traffic management systems for air mobility.

11. → Case Studies → Zipline – Medical drone delivery in Africa → DJI Dock – Automated drone station for 24/7 surveillance → Amazon Prime Air – Autonomous package delivery system

12. → Conclusion → DaaS and autonomous robotics are transforming industries. → Provide efficient, intelligent, and sustainable solutions. → The future of aerial systems lies in full autonomy and smart integration.

13. → References → IEEE Spectrum, 2025: Rise of Drone-as-a-Service Models → NASSCOM Tech Trends 2025 → ResearchGate: Autonomous Drone Systems and Cloud Integration → Amazon Prime Air Whitepaper