Digital IDs have been in abundant circulation for the past couple of years due to everyone in their homes during the pandemic. Everyone is using a 2D screen/surface to view all types of content. But the world is about to see a revolution with the introduction of 3D modelling with the help of Augmented Reality. Employees, students all have an ID card which contains a limited amount of information. In this project, we are aiming to create a 3D digital model using the features of AR Technology to bring life to the same old ID card. Utilizing the software Unity and Vuforia, the project aims to develop an application that generates 3D models of images embedded in daily objects like ID cards. The app will be using the camera on a smartphone to scan the image of the object to create a 3D working model that let users to interact with the scanned object. This application aims to modernize the experience of data visualization.

1. 3D Visualization of ID Cards
Using Augmented Reality
Made by:
Ankit Shaw (22MAI0046)
Samim Aktar (22MAI0047)
Romak Das (22MAI0056)
Under the guidance of Dr. Mohammad Arif
SET ID: 221296

2. Introduction
• Augmented Reality (AR) helps to add a greater number of virtual elements to
the existing virtual image of an object. It helps in more accurate feeling
representation which does not need special VR goggles and can be viewed with
the naked eye, simply through a device.
• Modern examples of AR are the Snapchat filters.
• Even the renowned game, Pokémon Go uses AR to pop up the desired objects as
if they co-existed in the real world, giving the user a much more immersive
experience.
• Apps like Pepperfry and Lenskart also use this same AR technology to figure out
how a certain piece of furniture will fit in our houses and how a pair of
spectacles will suit our faces respectively.

3. The idea of 3D ID card
• Information on a student card is lacking certain
information
• This will help in increasing the functionality of
traditional ID cards used on a daily basis.
• The idea behind our project is to help people
visualize the details printed on a typical identity
card (ID card) in a 3D format with the help of
Augmented Reality (AR) technology by using tools
available in Unity 3D and Vuforia.

4. Methodology
• Recognition
• Tracking
• Marker Design
• Capturing Module
• Tracking Module
• Image Capturing Module
• Image Processing Module
• Marker Tracking Module
• Rendering Module

6. Recognition
Recognition is nothing but the identification of
an object/media, such as a barcode. Our devices
have software to scan & recognize a bar code,
similarly recognition of human faces through
security systems.

7. Tracking
Tracking in AR finds for a specific pattern or image that
an AR app can recognize. Once the app finds the pattern,
it constantly tracks the position of the pattern in real
world space so that the app can accurately place a digital
object onto the marker that is being tracked.

8. Marker Design
Markers are generally square shaped, and many people make
useof black bordered image inside the mainframe with white
color inside of it. It basically helps to separate marker from
the background frame. Internal graphics of the marker are
often displayed distorted or pixelated.

9. Capturing Module
The capturing module captures the image
from the camera.

10. Tracking Module
The tracking module is the core of the ar system,
it calculates the relative pose of the camera in
real time. The term “pose” means basically the 6
degrees of freedom,that is the 3d location and
orientation of an object.

11. Rendering Module
The rendering module helps us to combine the virtual
components and real image into one using the calculated
pose and afterall these it renders the augmented digital
objecton the image projective geometry is the
mathematical model for pose estimation.

12. Image Capturing Module
The input to image capturing module is the live video feed
from the camera of a mobile device. This module analyzes the
camera feed, by analyzing each frame in the video. This
module generates binary images. A digital image that has only
two possible values for each pixel. Typically, the two colurs
used for a binary image are black and white. These binary
images are provided as as an input to the processing module.

13. Image Processing Module
Inputs to Image Processing Module are the binary
images from image capturing module. These binary
images are processed using an image processing
technique to detect the AR marker. Detection of AR
marker is essential to determine the position where to
place the virtual object. Once the AR marker is detected,
it’s loaction is provided as an inout to the tracking
module.

14. Marker Tracking Module
The Tracking Module is the core of the AR system. It calcuIates
relative pose of the camera in real time. The term ‘pose’ means
6 DOF position, that is, the 3D location and orientation of an
object. The calculated pose is provided as an input to
rendering module.

15. Rendering Module
There are to inputs to randering module. First, is to
calculate pose from the tracking module and other is the
virtual object to be augmented. The rendering module
combines the original image and the virtual component
using the calculated pose and renders the augmented
image on the display screen on the mobile device.

16. Tools
Unity 3D Engine
The software that does the
powerlifting to let us develop
the 3D application.

17. Tools
Vuforia SDK
An AR package which runs on Unity
3D to develop the AR application

18. Results

19. Conclusion
• This is the Future of Mobile screen going forward
• AR is enabling
• Utilizing AR ID cards makes information exchange
easier than using standard, conventional ID cards

20. AR Future In INDIA
• JIO India has launched Jio glasses in
INDIA last year.
• It will bring a new way to public
• AR navigation in the narrow lanes and
alleys of India.

21. Thank You