Brain Chip
A "neuromorphic sensor event-based sensor" is a type of sensor that mimics the function of the human retina by only detecting and reporting significant changes in light intensity at individual pixel levels, essentially capturing "events" of motion or brightness fluctuations rather than entire static images, resulting in a highly efficient and low-power data stream; also known as an "event camera" or "dynamic vision sensor“.
Key points about neuromorphic event-based sensors.
Bio-inspired design
They are designed to function similarly to the way neurons in the retina respond to changes in light, making them highly efficient for detecting motion and rapid changes in a scene.
Asynchronous data output
Unlike traditional cameras that capture full frames at fixed intervals, event-based sensors generate data only when a pixel detects a significant change in brightness, sending individual "events" asynchronously.
Low power consumption
By only transmitting relevant information, these sensors use significantly less power compared to standard cameras.
High dynamic range
They can handle a wide range of light intensities due to their ability to respond to small changes across the entire brightness spectrum.
Applications
Neuromorphic event-based sensors are particularly useful for applications like robotics, autonomous vehicles, motion analysis, and low-power vision systems where rapid detection of movement is crucial.