A modular software framework for intelligent AR training systems, and a prototype based on this framework that teaches novice users how to assemble a computer motherboard is proposed. An improved task performance is proposed wo that the system may work effeciently as compared to other c
Intelligent Augmented Reality Training for Motherboard Assembly
A modular software framework for intelligent AR training systems, and a prototype based on this framework that teaches novice users how to assemble a computer motherboard is proposed.
An improved task performance is proposed wo that the system may work effeciently as compared to other conventional systems.
We conclude that using an intelligent AR tutor can significantly improve learning compared to more traditional AR training.
The project objectives are as under.
checking the availability of the material
buying of material
assembly and programming of the project
testing of the project
The Motherboard Assembly Tutor is an intelligent AR system for training users how to assemble components on a computer motherboard, including identifying individual components, and installing memory, processors, and heat sinks.MAT will be designed to be as modular as possible so that it can be easily adapted for new assembly and maintenance tasks. The display elements and the domain model must be customized for each type of task, but the underlying software architecture, scaffolding algorithms and other back-end processing remains the same.
Using the ITS significantly improved learning
The systme will provide an efficient insight of the study
AR tutor produces a significantly better learning outcome
AR learning can enhance the efficiency of the learning student.
The AR interface presents problems and other information from the ITS to the student. The tracking module calculates the pose of the computer motherboard and its components relative to the camera affixed to the head-mounted display. This serves two fundamental purposes: (1) It allows the display module to render 3D graphics on top of the video frame in such a way that the virtual models appear to be part of the real world, and (2) the tracker sends information about the relative positions of the motherboard components to the ITS, which allows it to analyze the user's behaviour and provide feedback. The bulk of the work performed in the tracking module is handled by the underlying osgART software library, which is a C++ framework that combines computer graphics, video capture and tracking, and makes it easy to create AR applications. The osgART library uses the ARToolkit marker tracking approach and black square visual tracking images
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Thesis and publication | Miscellaneous | 2 | 5000 | 10000 |
| OCULUS RIFT S GEAR VR | Equipment | 1 | 70000 | 70000 |
| Total in (Rs) | 80000 |
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