Dynamic Vision Sensor

Dynamic vision sensors (DVS), also known as event cameras, are bio-inspired sensors that asynchronously record changes in pixel brightness, offering advantages in speed, dynamic range, and power efficiency over traditional frame-based cameras. Current research focuses on developing robust algorithms for object recognition, motion segmentation, and depth estimation using DVS data, often employing spiking neural networks (SNNs) and convolutional neural networks (CNNs), sometimes in hybrid architectures. This technology holds significant promise for applications requiring low-latency, high-dynamic-range vision, such as autonomous driving, robotics, and augmented reality, driving advancements in both computer vision and neuromorphic computing.