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The rapid technological advancements have resulted in a new field of mixed reality where real and virtual worlds meet and build new environments and visualizations. In simpler terms, a physical object and a digital object can interact in real-time and co-exist. The use of artificial intelligence and deep learning can bring ideas of mixed reality to existence.
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HoloLens and its applications using Mixed Reality-Humaci.com The rapid technological advancements have resulted in a new field of mixed reality where real and virtual worlds meet and build new environments and visualizations. In simpler terms, a physical object and a digital object can interact in real-time and co-exist. The use of artificial intelligence and deep learning can bring ideas of mixed reality to existence. Bringing deep learning and artificial intelligence in a mixed reality application would help give a real-world feel to the machine and would make a virtual experience as close to reality as possible. Today, innumerable such applications have been built one of which is the Hololens. Microsoft’s Hololens has taken the concept of augmented reality, and with an addition of virtual reality objects on the real world, the idea of mixed reality has created. The hololens uses numerous sensors and innovative optic principles with various holographic processing to effortlessly blend with the real world and can display information on the lens itself. Its main components include a depth camera that can capture hand movements and understand these gestures, multiple microphones, several optical sensors, peripheral sensors, speakers, a light sensor, an HD camera and a custom unit called Holographic Processing Unit which is said to have greater processing power than general use laptops. With these tools, the Hololens can comprehend distances of objects, their orientation, and merge holograms into the real-world environment that is being perceived. For almost every aspect of the hololens, artificial intelligence is being used. Be it for tracking the hand gestures of the user or the merging of a virtual hologram into the real world and resizing and positioning it appropriately. Artificial intelligence models have been developed and trained. A 3D model that comprises all possible hand movements has been used as training for artificial intelligence models, specifically a precise deep learning neural network and based on those, the hololens hand gesture comprehension has been trained. With this neural network, the generated frames are processed in real-time. The hololens customize itself for every user based on their hand gestures which bring us the implementation of instinct-based contact. Similarly, eye gestures were also modelled. It is only with the help of artificial intelligence that real-time mappings can successfully embed the virtual hologram. The business application of the hololens ranges from increasing productivity of factory workers by creating a step by step model as directions for the work. Using the Hololens technology, learners can be trained remotely, and expensive as well as huge working components can be visualized easily without travelling from one place to the other. Even in studying space exploration devices, Hololens technology has made it possible to make interactions possible. This has been implemented by NASA for the environment of Curiosity Mars Rover. Customization of design without modifying the real-world object has also been made so easy by the Hololens technology. Without the Hololens, usually, several blueprints of concept art need to be built, and its components are mostly indifferentiable. Hololens allows every piece to be put together as if it were to be happening in the real world.
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