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Immersive Development
Augmented Reality
Augmented Reality is a technology that superimposes digital information, such as images, videos, and 3D models, onto the real-world environment. Unlike Virtual Reality (VR), which immerses users in a completely digital world, AR enhances the real world by adding interactive digital elements that users can see and interact with through devices such as smartphones, tablets, and AR glasses, making it a versatile tool for various applications.
How does AR works?
AR works by adding digital information, like images and 3D models, onto the real world through devices and these devices use cameras and sensors to understand the environment and track how the user moves. Special algorithms then place digital content in the right spot in real time. Users interact with this content using gestures, voice commands, or touch, making it seem like virtual objects are part of their surroundings. AR is used in various fields like retail, healthcare, education, and entertainment to create engaging experiences that blend virtual and real-world elements seamlessly.
Virtual Reality
Virtual Reality creates fully immersive digital environments, enabling users to step into a computer-generated world and interact with it as if it were real. By using VR headsets and sensory devices, users can experience a heightened sense of presence and engagement. Whether for training, simulation, or entertainment, our VR technology provides realistic and engaging experiences that captivate and educate users./span>
How does VR work?
Virtual Reality technology operates through advanced headsets that transport users into a lifelike 3D environment. These headsets feature highresolution screens or lenses that deliver realistic visuals, continuously updated for seamless movement. Sensors monitor the user's head movements, enabling natural interaction and exploration within the virtual realm. Users can manipulate objects and navigate through the environment using controllers or gestures. Spatial audio complements the experience by placing sound sources relative to the user's location. VR software designs and maintains virtual worlds, offering immersive applications for training, entertainment, and various other experiences.
Mixed Reality
Mixed Reality combines elements of both VR and AR to create environments where physical and digital objects coexist and interact in real time. Users can manipulate and interact with both virtual and real-world objects simultaneously. Unlike Virtual Reality, which immerses users in a completely virtual environment, and Augmented Reality, which overlays digital content on the real world, MR combines aspects of both. Users can see and interact with digital objects as if they were part of the physical world
How does MR works?
MR utilizes advanced sensors, optics, and processing power to map the physical environment and integrate digital content within it. MR devices, such as Microsoft HoloLens, use cameras and sensors to understand the spatial characteristics of the user's surroundings. This information is then used to anchor digital objects in the real world, allowing users to interact with them naturally
AI/ML
Artificial Intelligence (AI) and Machine Learning (ML) are transformative technologies that enable machines to learn from data and perform tasks that typically require human intelligence. AI involves creating systems that can mimic human cognitive functions such as learning, reasoning, problemsolving, and decision-making. ML, a subset of AI, focuses on developing algorithms that allow machines to learn patterns from data and make predictions or decisions based on that learning
How does AI/ML works?
AI/ML technology operates through a systematic process starting with data collection, followed by algorithm development, model training, inference, and deep learning. This cycle begins with gathering and processing data, which is used to develop algorithms. These algorithms are then trained to learn patterns from the data, improving accuracy over time. Once trained, models make predictions or decisions based on new information, aided by deep learning techniques for complex analysis. This iterative process enables AI/ML systems to automate tasks, provide insights, and continuously enhance performance.