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Computer Vision refers to the field of study focused on enabling computers to interpret and understand visual information from the world, much like humans do. It involves developing algorithms and models that can analyze images and videos to extract meaningful information, identify patterns, and make decisions based on that data. This technology is a crucial component in various applications such as facial recognition, autonomous vehicles, medical imaging analysis, and augmented reality. In the context of Virtual Assistants, Computer Vision can be used to enable features like gesture recognition, object detection, and visual tracking, enhancing the overall user experience by providing more natural and intuitive interaction methods. This aligns with the broader categories of Technology, Virtual Reality, and Virtual Assistants, as Computer Vision plays a pivotal role in advancing these fields and creating immersive, intelligent, and interactive experiences for users.