VIRTUAL GAMING CONTROLLER AND MOTION DETECTOR GADGET

All in all, the Warship tabletop game has its own game objective. The objective is the player, who oversaw to sink every one of the rival's boats will turn into the champ. AR Ship prepackaged game with the holographic show is the result of the work. The table game has decided for this work is the Wa

Project Title

VIRTUAL GAMING CONTROLLER AND MOTION DETECTOR GADGET

Project Area of Specialization

Artificial Intelligence

Project Summary

All in all, the Warship tabletop game has its own game objective. The objective is the player, who oversaw to sink every one of the rival's boats will turn into the champ. AR Ship prepackaged game with the holographic show is the result of the work. The table game has decided for this work is the War vessel board game. Players can play the game, while for the non-player, they can watch the game through the holographic showcase. War vessel table game has been executed with AR and holographic innovation, points to upgrade the client experience. Be that as it may, handheld AR.

Project Objectives

We will program the system with the help of programming language python and open CV 3.0 for movement tracking. We will use a camera to address the set of instructions and rules of finger movement tracking. We will connect the projector for the projection. Raspberry pi will help to execute the motion captured by camera, Mini projector use for the projection on the surface and show the output or the display of screen. Camera will forward its position and the degree to comply with finger movement for tracking

Project Implementation Method

Once the image knowledge is streamed to your pc, it’s time for a few serious mathematical lifting. Despite well-liked misconceptions, the Leap Motion Controller doesn’t generate a depth map — instead it applies advanced algorithms to the raw sensing element knowledge. The Leap Motion Service is the computer code on your pc that processes the pictures. When compensating for background objects (such as heads) and close environmental lighting, the picture's square measure is analyzed to reconstruct a 3D illustration of what the device sees. Next, the trailing layer matches the {information} to extract trailing information like fingers and tools. Our trailing algorithms interpret the 3D knowledge and infer the positions of occluded objects. Filtering techniques square measure applied to make sure swish temporal coherence of the information. The Leap Motion Service then feeds the results expressed as a series of frames, or snapshots, containing all of the trailing knowledge into a transport protocol. Through this protocol, the service communicates with the Leap Motion electrical device.

Benefits of the Project

Features of gestures are built based on palm gesture and fingers motion relative distances. We calculated two types of distances. One type is distances between fingertips and palm center P POS denoted by Di. There are multi type is distancing between two fingers and object which are adjacent. For example distance between thumb and index, distance between indexes D01and middle denoted by D12 Figure 5 shows examples of static gestures we could effectively recognize. We have two standard gestures shown in Figure 4 where the distance values are used as parameters to distinguish different static gestures the other gesture features are built based on distances between fingers and palms. The distance between thumb and rays is used to identify the gestures. The distance between index and middle finger is used to define gesture and Middle pointing gesture. The rest gestures simply combined these two standardize gestures manipulate. For example the main focusing of the gestures is the top most in Figure 5 are index and thumb extended and the rest fingers bent.

Technical Details of Final Deliverable

In technical work, we will be able to create new classifiers based on existing classifiers without paying too much extra effort, which will greatly reduce the work involved in learning new classes. Also, remember that people are constantly inventing new items, changing styles, etc., so the hologram gaming gadget needs to be constantly updated by adding new classes or updating existing classes. In addition, we can use more than one camera sensor for batter and stability of system. All through more camera sensor and use of led as separation of their sensor make accurate performance. We will also make it more portable by which use can carry it easily. We will try to make it smaller in size so that this gadget will become portable. Hologram and finger detection is two different thing but combination of two emerging technology.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Others

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Decent Work and Economic Growth

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com