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Autonomous Trash Collector Robot with the help of computer vision and gps navigation system
- 1. Final Year Defense Presented by Supervised by Saturday 30 July 2014 Autonomous Trash/GARBAGE Collector Robot Sayed MD Towaha ID: 192-15-13126 Department of CSE Daffodil International University Fahad Faisal Assistant Professor Department of CSE Daffodil International University
- 2. Final Year Defense 2 TABLE OF CONTENTS • Introduction • Motivation • Objective • Related Work • How It Works • Flowchart • Limitation and Future Work • Impact on Society • Conclusion
- 3. Final Year Defense 3 3 Introduction What is an autonomous trash collection robot? Why this robot?
- 4. Final Year Defense 4 Motivation • Simplify the waste collection process • Reduce manual labor and associated health risks • Enhance cleanliness in public spaces • Improve waste management practices • Contribute to a cleaner and greener environment • Create awareness among students
- 5. Final Year Defense 5 Objective • Develop an autonomous trash collection robot. • Efficiently collect and dispose of trash. • Streamline waste management processes. • Improve cleanliness in public spaces.
- 6. Final Year Defense 6 Related Work
- 7. Final Year Defense 7 How it works • GPS navigation system • Trash detection • Object Manipulation using a mechanical arm • Collection and Storage • Navigation and Disposal
- 10. Final Year Defense 10 GPS navigation system • Input the waypoint • Calculate the distance using the Haversine distance formula • Navigate using satellite communication
- 11. Final Year Defense 11 Input the waypoint
- 12. Final Year Defense 12 Calculate the distance using the Haversine distance formula
- 13. Final Year Defense 13 Navigate using satellite communication
- 14. Final Year Defense 14 Trash detection
- 15. Final Year Defense 15 Object Manipulation using mechanical arm
- 16. Final Year Defense 16 Object Manipulation using mechanical arm
- 17. Final Year Defense 17 Collection and Storage
- 18. Final Year Defense 18 Navigation and Disposal
- 19. Final Year Defense 19 Limitation and Future Work Limitation: • Limited capacity • Object detection accuracy • High power consumption • Not Waterproof • Speed very slow
- 20. Final Year Defense 20 Limitation and Future Work Future work: • Increase the speed • Use a good power supplier • Train more trash • Change the wheel model • Add Voice Assistant
- 21. Final Year Defense 21 Impact on Society • Improved cleanliness • Reduced manual labor • Enhanced waste management practices • Public awareness and education • Inspiration for innovation • Economic benefits • Make a cleaner, healthier, and more sustainable environment
- 22. Final Year Defense 22 Conclusion • It simplifies the waste collection process • Enhances cleanliness in public spaces. • Reduces manual labor • Future work can focus on improving object detection accuracy and navigation algorithms. • Represents a promising solution for efficient and sustainable waste management. • Finally, it can be said it is important for any society.
- 23. Final Year Defense Thank you 23