“Event-based Vision” is an exciting new approach to computer vision that is inspired by the way humans see. Unlike traditional computer vision methods, which rely on continuous image processing, event-based vision is based on the detection of discrete visual events, such as the appearance of a new object or a change in scene brightness. This approach allows for more efficient and accurate object detection, as well as real-time processing of visual information.

We are currently developing a framework for event-based vision that can be used in a variety of applications, such as autonomous vehicles, robotics, and augmented reality. By leveraging the latest advances in machine learning and computer vision, we are exploring the full potential of event-based vision and demonstrating its benefits in real-world scenarios.