As part of the solution, we opted to develop an AR application in Unity that would operate on the client's specified Android tablet. The 3D model of the DC Generator was created by referring to the actual hardware provided by the client. AR-based DC generators have been created in two approaches. If the original model is unavailable, the applicant can scan a flat surface and place the created 3D Model there, or the candidate can scan the genuine hardware and place the developed 3D Model over it in an AR environment. In the Unity application, we used the Vuforia library to detect real hardware and recognize planes.
The trainees need to see extremely minute details of every part of the equipment using the designed application, and if they want to see more details about a section, there is an option to dismantle and take out that part with a single tap. We also supplied audio and textual explanations for each part's disassembly. When a learner interacts with the application, a voice assistant is provided that gives out a full description of the part. All elements, such as 3D models, text, and audio files, are incorporated directly inside the application, allowing it to function without an internet connection.
There are various delightful impacts brought in by the application. The major ones are as below:
- Showcasing the real model and its cross-section was not possible every time. The application played a big role in distance learning
- A voice assistant supported the students in the learning process by providing extensive explanations about the various portions
- The app allows for less physical manipulation of the generator, resulting in less damage
- The Application provided the trainee a self-learning tool for enhancement of their technical know-how and provided a vivid understanding of the concepts