An Event-based Vision Sensor (EVS) realizes high-speed, low latency data output by detecting luminance changes, which each pixel senses asynchronously, and only outputting the differential data after combining with the coordinate and time information. This functionality can be leveraged in recognition processing systems to enhance the efficiency of data provision, ideal for various applications in the industrial field such as detection of fast-moving objects, equipment monitoring, movement detection analysis, and image recognition.
The industry’s smallest*1 pixel size of 4.86 μm can read out event data efficiently at high temporal resolution. Sony Semiconductor Solutions Corporation’s original miniaturization technology based on the structure of stacked CMOS image sensor together with Cu-Cu connection makes it possible to realize the industry’s smallest pixel with a large fill factor. This technology has produced a small Event-based Vision Sensor with high image resolution, high speed, and high temporal resolution (an image sensor that continuously detects movements and luminance changes).
*1) Among stacked event-based vision sensors. According to Sony research (as of announcement on September 9, 2021).
Sony's original stacked structure realizes event-based technology that outputs data only based on the pixel luminance changes detected by all pixels asynchronously and combined with coordinate and time information. Handling only the required data this method can achieve fast output, in the order of microseconds, while keeping power consumption low. It operates much faster than the conventional frame-based method.
In order to cater to various applications the sensor is equipped with several filter functions specifically designed for event data. They can be employed to remove unnecessary event data such as periodical events due to LEDs flickering and other events that are highly unlikely to be the outline of a moving object, etc.
With a conventional frame-based image sensor the entire image of the ball and the background is output at certain intervals determined by the frame rate. By contrast an Event-based Vision Sensor only takes the differential data, which means the trajectory of the moving ball is captured at a very high temporal resolution
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