Unlike traditional machine vision cameras, which capture images in frames per second and repeatedly record redundant background objects, Event-Based Vision cameras offer a more efficient approach. These cameras utilize a neuromorphic vision sensor that, similar to the human eye and brain, only captures changes in brightness—an "event"—rather than complete images at fixed intervals. This method eliminates the generation of excess, unnecessary data caused by the constant recording of static elements, providing a more focused and informative representation of movement.
Event-Based Vision (EVS) sensors and neuromorphic engineering technology are overcoming the limitations of traditional machine vision. Event cameras have opened up new possibilities for numerous applications including object tracking, fall detection, eye tracking, gesture recognition, constellation tracking, motion analysis, and vibration tracking.
Our selection of event-based cameras includes: