Synchronization of multirotors drones for collaborative interaction

Project Title

Synchronization of multirotors drones for collaborative interaction

Project Area of Specialization Artificial IntelligenceProject Summary

A new generation of drones is being worked on worldwide to facilitate Media, Augmented
Reality, Military, Rescue Operations and Agriculture. Adding to the previous statement, automated
synchronization among drones is one of the major area being worked on. The scope of
synchronized drones' flight is huge ranging from capturing the world through its lens to military and
rescue operations. This project "Synchronization among multirotor drones for collaborative
interaction" aims for a parallel flight of hundreds of synchronized drones trained in deep learning
models to collaborate with each other controlled by a human command (either by voice,
gestures or simulators) to achieve a set of goals.

Project Objectives

OBJECTIVES:
1: Training of automatic synchronization among drones.
2: Object recognition for avoiding the collision.
3: Human control mechanism

Project Implementation Method

Implementation Methods:

1: Drones will be trained on the available dataset using deep learning in a simulation environment.

2: After that, the learning results will be implemented on actual hardware systems integrated with sensors.

3: Test the drones with human interactions.

4: At last, we will present the final demo of drones.

Benefits of the Project

Automated synchronization among drones is one of the major area being worked on worldwide. The scope of synchronized drones' flight is huge and some applications are explained below:
1: Agriculture: Human effort can be used by using synchronized drones for agriculture.
2: Military: Synchronized drones can be used to conduct various military operations like
searching operations, droning, bombing, etc.
3: Augmented Reality: Synchronized drones can be used to develop a virtual world using
Augmented reality models integrated into them.
4: Media: Media coverage is a major use case of synchronized drones. Capturing stunning
shots from a wide range of fields which can't be done by the human can be implemented in these
drones.

Technical Details of Final Deliverable

DELIVERABLES:
1: Model for drones: Trained Deep learning-based model for the drones will be given.
2: Dataset for training: Dataset on which drones will be trained.
3: Integration: Drones will be integrated with the final software.

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Education , Medical , Agriculture , Transportation , Media , Others , Health Core Technology Artificial Intelligence(AI)Other Technologies Augmented & Virtual Reality, Robotics, NeuroTech, Wearables and ImplantablesSustainable Development Goals Quality Education, Industry, Innovation and Infrastructure, Life on Land, Partnerships to achieve the GoalRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	70000
Drones	Equipment	2	35000	70000