An ultra-low power CMOS vision sensor, embedding spatio-temporal contrast estimation and binarisation, has been demonstrated through novel auto-exposure pixel architecture with improved contrast sensitivity compared with previous implementation. The processing involves three neighboring pixels and uses passive charge-transfer mechanism, with no dc power consumption. Contrast is computed with 3% sensitivity on images with more than 100dB dynamic-range. Asynchronous data readout takes less than 100μs, enabling high data-rate operation, up to 8000 fps. Efficient imager raster-scan skips all the empty rows, shrinking the sensor readout time down to 10μs, which dynamically adapts to the amount of data to be dispatched. Data compression and delivering is implemented through addressdriven technique. The square pixel pitch is 26μm with 25% fill factor. The sensors consumes 30μW at 30fps and 3.3 V, with a typical 70% output data compression.

A 30uW 100dB Contrast Vision Sensor with Sync-Async Readout and Data Compression

Massari, Nicola;De Nicola, Marco;Gottardi, Massimo
2010

Abstract

An ultra-low power CMOS vision sensor, embedding spatio-temporal contrast estimation and binarisation, has been demonstrated through novel auto-exposure pixel architecture with improved contrast sensitivity compared with previous implementation. The processing involves three neighboring pixels and uses passive charge-transfer mechanism, with no dc power consumption. Contrast is computed with 3% sensitivity on images with more than 100dB dynamic-range. Asynchronous data readout takes less than 100μs, enabling high data-rate operation, up to 8000 fps. Efficient imager raster-scan skips all the empty rows, shrinking the sensor readout time down to 10μs, which dynamically adapts to the amount of data to be dispatched. Data compression and delivering is implemented through addressdriven technique. The square pixel pitch is 26μm with 25% fill factor. The sensors consumes 30μW at 30fps and 3.3 V, with a typical 70% output data compression.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/14669
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
social impact