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Event-based Vision

Event-based vision refers to a type of visual sensing that captures changes in a scene rather than taking standard continuous images. Instead of recording every frame, it detects important motion or changes, producing a stream of events that indicate when and where something has moved. This approach mimics how humans perceive the world by focusing on dynamic elements. It enables faster reactions, reduces data processing needs, and enhances performance in various applications, such as robotics, surveillance, and autonomous vehicles, where recognizing movement quickly is crucial.

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    Event-Based Vision is a technology that mimics how the human eye works by capturing changes in a scene rather than taking static images at regular intervals. Instead of recording every frame, it detects significant changes, like motion or light fluctuations, and generates data only when something occurs. This approach allows for faster and more efficient processing, making it ideal for applications where quick reactions are crucial, such as in robotics or autonomous vehicles. Event-Based Vision enables more natural and dynamic interactions with the environment, improving performance in complex visual tasks.