Neuromorphic vision sensors, or event cameras, mimic biological vision by asynchronously detecting changes in illumination, enabling high temporal resolution, low power consumption, and no motion blur. These unique features support advanced applications in robotics, autonomous vehicles, and human behavior analysis, especially for motion-centric tasks. Event cameras excel in low-light conditions and fast dynamics, enabling real-time obstacle avoidance, emotion recognition, defect detection, and more. Their microsecond latency and high dynamic range offer significant advantages over conventional cameras. Moreover, their inherent data sparsity contributes to privacy preservation.