One of the current technology advancements that is gaining ground daily is augmented reality solutions. Using cameras in real-world working locations, this technology enables the visualization of the physical environment with a digital augmentation overlay. It is a highly visual and interactive approach for integrating digital content such as sounds, movies, graphics, and GPS. Apps for smartphones, tablets, Hololens, etc. can create AR. This technology is slowly finding ways to improve its procedures using 5G. Google, Facebook, and Amazon embrace AR software for productivity. Instagram and Snapchat have fun filters. However, there are various sorts of ARs, and it is important to understand their peculiarities since each will be better suited for a specific function even though they all share some commonalities.
The following are types of Augmented Reality Solutions
- AR based on markers
- AR without markers
- Location-based AR
- Projection-based AR
- Overlay AR
- Contour-based AR
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Details are here about different Augmented Reality Solutions
1. AR based on markers
Target images (markers) are used in marker-based AR applications to position items in an area. These markers specify where the 3D digital content will be displayed inside the user’s field of view. Markers served as the foundation for early AR technologies.
In order to superimpose the 3D virtual object on a particular physical picture pattern marker in a real-world context, these applications are connected to it. In order to generate its geometry, the cameras must continuously scan the input and set a marker for picture pattern recognition. The virtual object won’t appear if the camera is not correctly focused.
Thus, a system for marking images includes a camera, image capture, image processing, marker tracking, and others. A clever application that recognizes patterns via a camera makes adding filters straightforward and inexpensive. Instagram and Snapchat utilize augmented reality filters and games. Thus, people’s daily social activities include this type of AR.
2. AR without markers
A system for marking images includes a camera, image capture, image processing, and marker tracking. This is a simple and inexpensive way to add filters using a computer that recognizes patterns in a camera. Instagram and Snapchat integrate augmented reality in filters and games. AR has become part of people’s daily life as social activities. Markerless analysis relies on simultaneous localization and mapping (SLAM) to scan the surroundings and create maps for virtual item placement. SLAM markerless image tracking scans the surroundings and creates 3D maps of where to place virtual objects, even if they are not in the user’s field of view. This technology may recognize objects or distinguishing features in a scene without being aware of its surrounds, such as walls or crossroads. The startling visual result of merging computer images with actual pictures distinguishes this technique.
a. Location-based AR
Location-based AR without markers places 3D virtual items in the user’s real environment. This technology places a virtual object at a desired area or point of interest using a smart device’s location and sensors. Pokémon GO uses markerless, location-based AR to bring the user’s surroundings to life immediately based on where they gaze.
This AR uses the camera, GPS, compass, and accelerometer to read data in real time and locate the virtual image. Since it uses markerless AR, it can predict the user’s movement and match the data in real time. This type lets you add interactive and relevant digital information to points of interest, which helps travelers understand their surroundings with 3D virtual objects or films.
b. Projection-based AR
This technology is used to transmit digital data in a static environment; project-based augmented reality, for example, focuses on presenting virtual 3D objects in the user’s actual environment. Due to the placement of a tracking camera and a fixed projector in a particular location, augmented reality (AR) enables the user to move freely inside the surroundings of that space. By shining artificial light onto real flat surfaces, this technique creates illusions about an object’s position, depth, and orientation.
Because instructions may be presented in a specific region, projection-based augmented reality, for instance, is excellent for streamlining complex activities in commerce or industry and removing computers. This system can also provide input to improve digital identification procedures for production cycles.
c. Overlay AR
With the use of augmented reality, an updated virtual image of an object is typically employed in place of the original view for the human eye. Overlay AR provides multiple perspectives of the target object by displaying more relevant information about it.
d. Contour-based AR
In essence, this technology uses specialized cameras to outline particular objects with lines for human eyes to see, making certain circumstances easier. For instance, it can be applied to automobile navigation systems to ensure safe operation under poor lighting conditions.
Conclusion
Augmented reality has many present and future uses, including retail surgery for healthcare, customized automobiles for autonomous driving, classroom instruction, quick text translation, sophisticated facial scanners, military applications, and more. Augmented reality cannot be used for all of the above applications because each industry has different needs. Marker-based AR is the simplest form of AR. Markerless AR has four subtypes: location-based, projection-based, overlay, and contour. As we’ve seen, each typology has a use case and a separate technological premise.
