Marker-based AR involves the use of physical markers, such as QR codes or images with distinct patterns, to trigger AR experiences.
When the device’s camera recognizes these markers, it overlays digital content or information onto the marker in real-time, enhancing the user’s perception of the real world.
Markerless AR:
Markerless AR, also known as location-based or geo-based AR, uses the device’s GPS, compass, and other sensors to overlay digital content onto the real world without the need for physical markers.
It allows AR experiences to be tied to specific locations, providing location-based information, navigation, or interactive elements in the user’s surroundings.
SLAM (Simultaneous Localization and Mapping):
SLAM is a technology used in AR to map and understand the environment in real-time.
It combines data from various sensors, such as cameras and depth sensors, to create a 3D map of the surroundings while simultaneously tracking the device’s position within that map.
SLAM enables accurate placement of virtual objects in the real world and helps maintain their position as the user moves around.
Holographic AR:
Holographic AR refers to the projection of 3D virtual objects or scenes that appear as if they are floating in the real world.
This type of AR relies on advanced optical techniques, such as beam-splitting and diffraction, to create the illusion of depth and realism.
Holographic AR can provide immersive and interactive experiences, allowing users to view and interact with virtual content from different angles.
AR Glasses:
AR glasses, also known as smart glasses or augmented reality eyewear, are wearable devices that overlay digital information onto the user’s field of view.
They typically incorporate transparent displays, sensors, and cameras to provide a hands-free AR experience.
AR glasses can range from sleek and lightweight designs to more robust and powerful devices.
AR SDK (Software Development Kit):
An AR SDK is a set of software tools and resources that developers use to create AR applications and experiences.
It provides libraries, APIs, and frameworks that enable developers to access AR capabilities, such as tracking, rendering, and interaction, on various platforms and devices.
Virtual Object Anchoring:
Virtual object anchoring refers to the process of accurately placing virtual objects in the real world and ensuring they maintain their position relative to the physical environment.
This technique relies on spatial mapping, tracking, and sensor data to anchor virtual content to specific points or surfaces, creating a seamless integration between the real and virtual worlds.
Gesture Recognition:
Gesture recognition in AR involves detecting and interpreting human gestures or movements to enable user interaction with virtual objects or interfaces.
It may utilize cameras, depth sensors, or other input devices to recognize hand movements, gestures, or poses and translate them into meaningful actions within the AR environment.
AR Cloud:
The AR cloud is a concept that refers to a shared and persistent virtual layer of data and information anchored to the real world.
It allows multiple AR users to interact with the same virtual objects or experiences in a synchronized manner, regardless of their location or time.
The AR cloud facilitates collaborative and multi-user AR experiences and enables the persistence of AR content across different sessions and devices.
Spatial Computing:
Spatial computing refers to the integration of the physical and digital worlds, allowing for seamless interaction and manipulation of virtual content in real-world space.
It encompasses technologies such as AR, VR, mixed reality (MR), and the blending of physical and digital inputs and outputs to create immersive and interactive experiences.
Spatial computing focuses on understanding and mapping the spatial context and enables intelligent interactions between users, devices, and the environment.
