A 64&amp;#x00D7;64 pixel temporal contrast microbolometer infrared sensor

Matolin, Daniel; Posch, C.; Wohlgenannt, Rainer; Maier, Thomas

doi:10.1109/iscas.2008.4541750

Cited by 5 publications

(2 citation statements)

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“…These areas require sensitivity to contrasts below 10%. Microbolometers require sensitivities of around 1% to be sensitive to 1°K temperature changes, because the temperature coefficients of the micromachined devices are roughly around 1.5%/°K [9].…”

Section: Introductionmentioning

confidence: 99%

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A Sensitive Dynamic and Active Pixel Vision Sensor for Color or Neural Imaging Applications

Moeys

Corradi

et al. 2018

IEEE Trans. Biomed. Circuits Syst.

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Applications requiring detection of small visual contrast require high sensitivity. Event cameras can provide higher dynamic range (DR) and reduce data rate and latency, but most existing event cameras have limited sensitivity. This paper presents the results of a 180-nm Towerjazz CIS process vision sensor called SDAVIS192. It outputs temporal contrast dynamic vision sensor (DVS) events and conventional active pixel sensor frames. The SDAVIS192 improves on previous DAVIS sensors with higher sensitivity for temporal contrast. The temporal contrast thresholds can be set down to 1% for negative changes in logarithmic intensity (OFF events) and down to 3.5% for positive changes (ON events). The achievement is possible through the adoption of an in-pixel preamplification stage. This preamplifier reduces the effective intrascene DR of the sensor (70 dB for OFF and 50 dB for ON), but an automated operating region control allows up to at least 110-dB DR for OFF events. A second contribution of this paper is the development of characterization methodology for measuring DVS event detection thresholds by incorporating a measure of signal-to-noise ratio (SNR). At average SNR of 30 dB, the DVS temporal contrast threshold fixed pattern noise is measured to be 0.3%-0.8% temporal contrast. Results comparing monochrome and RGBW color filter array DVS events are presented. The higher sensitivity of SDAVIS192 make this sensor potentially useful for calcium imaging, as shown in a recording from cultured neurons expressing calcium sensitive green fluorescent protein GCaMP6f.

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Section: Introductionmentioning

confidence: 99%

“…if C=0.01 and =3, then =9x10 4 . Thus a 3-sigma detection of a 1% contrast requires collecting 90k e -, which exceeds the typical 10k e -Full Well Capacity (FWC) of conventional CMOS image sensors by a factor of ten [9].…”

Section: Introductionmentioning

confidence: 99%