Powrót na górę

- Example of live data and filters -

  • 3361 Wyświetlenia
  • Lubi

O

[Tekst dostępny tylko w języku angielskim] Conventional vision sensors see the world as a series of frames. Successive frames contain enormous amounts of redundant information, wasting memory access, RAM, disk space, energy, computational power and time. In addition, each frame imposes the same exposure time on every pixel, making it difficult to deal with scenes containing very dark and very bright regions.

The Dynamic Vision Sensor (DVS) solves these problems by using patented technology that works like your own retina. Instead of wastefully sending entire images at fixed frame rates, only the local pixel-level changes caused by movement in a scene are transmitted – at the time they occur. The result is a stream of events at microsecond time resolution, equivalent to or better than conventional high-speed vision sensors running at thousands of frames per second. Power, data storage and computational requirements are also drastically reduced, and sensor dynamic range is increased by orders of magnitude due to the local processing.

Dane

  • Nazwa pliku: intensity_flow_mov.mp4
  • Rozmiar pliku: 9.59 MB
  • Czas trwania pliku: 00:00:31
  • Wymiary wideo: 1022x526

O

[Tekst dostępny tylko w języku angielskim] Conventional vision sensors see the world as a series of frames. Successive frames contain enormous amounts of redundant information, wasting memory access, RAM, disk space, energy, computational power and time. In addition, each frame imposes the same exposure time on every pixel, making it difficult to deal with scenes containing very dark and very bright regions.

The Dynamic Vision Sensor (DVS) solves these problems by using patented technology that works like your own retina. Instead of wastefully sending entire images at fixed frame rates, only the local pixel-level changes caused by movement in a scene are transmitted – at the time they occur. The result is a stream of events at microsecond time resolution, equivalent to or better than conventional high-speed vision sensors running at thousands of frames per second. Power, data storage and computational requirements are also drastically reduced, and sensor dynamic range is increased by orders of magnitude due to the local processing.

Autor

Federico Corradi

Federico Corradi

Netherlands Eindhoven, Italy Parma

Występy

Dynamic Vision Sensor

Dynamic Vision Sensor

Federico Corradi

Federico Corradi

6588 wyświetlenia


0 lubi