Flame monitoring with an AER color vision sensor

Leñero‐Bardallo, Juan A.; Bryn, D. H.; Häfliger, Philipp

doi:10.1109/iscas.2013.6572363

Cited by 6 publications

(9 citation statements)

References 15 publications

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“…Asynchronous spiking sensors can be used in the detection and the analysis of flame activity . Flame flickering and flame emissions have to be monitored in some industrial processes .…”

Section: Spiking Luminance Sensorsmentioning

confidence: 99%

“…Recently, Leñero‐Bardallo et al have advanced how octopus retinas can be used to monitor flame activity . The excellent temporal resolution of these sensors can be exploited to track their transient activity efficiently.…”

Section: Spiking Luminance Sensorsmentioning

confidence: 99%

“…By filtering the radiation below the NIR band, the output data are limited to the regions exposed to NIR radiation. Hence, their output data flow can be processed in real time, outperforming the operation obtained with classic NIR imagers . In Figure A, a snapshot of a flame taken with an octopus asynchronous sensor fabricated in standard CMOS technology is displayed.…”

Section: Spiking Luminance Sensorsmentioning

confidence: 99%

“…Flame monitoring with an asynchronous near‐infrared band (NIR) spiking sensor . A, Snapshot of a flame taken with a luminance asynchronous sensor with an optical NIR filter.…”

Section: Spiking Luminance Sensorsmentioning

confidence: 99%

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Applications of event‐based image sensors—Review and analysis

Leñero‐Bardallo

Carmona-Galán

Rodríguez-Vázquez

2018

Circuit Theory & Apps

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The spread of event-driven asynchronous vision sensors during the last years has increased significantly the industrial interest and the application scenarios for them. This article reviews the main fields of application that event-based image sensors have found during the last 20 years. We focus in the description of applications where such devices can outperform conventional frame-based sensors. The practical functions of the three main families of asynchronous event-based sensors are analyzed. The article also studies what are the factors that increase nowadays the demand of sensors that minimize the power and bandwidth consumption. Moreover, the technological factors that have facilitated the development of asynchronous sensors are discussed.

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“…Asynchronous spiking sensors can be used in the detection and the analysis of flame activity . Flame flickering and flame emissions have to be monitored in some industrial processes .…”

Section: Spiking Luminance Sensorsmentioning

confidence: 99%

Section: Spiking Luminance Sensorsmentioning

confidence: 99%

Section: Spiking Luminance Sensorsmentioning

confidence: 99%

“…Flame monitoring with an asynchronous near‐infrared band (NIR) spiking sensor . A, Snapshot of a flame taken with a luminance asynchronous sensor with an optical NIR filter.…”

Section: Spiking Luminance Sensorsmentioning

confidence: 99%

See 2 more Smart Citations

Applications of event‐based image sensors—Review and analysis

Leñero‐Bardallo

Carmona-Galán

Rodríguez-Vázquez

2018

Circuit Theory & Apps

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“…Also, the intra-scene dynamic range of an average CMOS sensor is usually below 70dB [9], not being suitable to gauge precisely energy variations inside very bright light sources. Recently, asynchronous image sensors working in the NIR band were introduced by the authors, as an alternative to CMOS cameras with NIR filters [10]. Event-based spiking luminance sensors, also known as octopus retinas [11]- [13], have some inherent advantages over conventional frame-based sensors: fast operation, high dynamic range operation, and low output data throughout, i.e.…”

Section: Introductionmentioning

confidence: 99%

On the Analysis and Detection of Flames With an Asynchronous Spiking Image Sensor

et al. 2018

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We have investigated the capabilities of a custom asynchronous spiking image sensor operating in the Near Infrared (NIR) band to study flame radiation emissions, monitor their transient activity, and detect their presence. Asynchronous sensors have inherent capabilities, i.e. good temporal resolution, high dynamic range, and low data redundancy. This makes them competitive against Infrared (IR) cameras and CMOS frame-based NIR imagers. In the article, we analyze, discuss and compare the experimental data measured with our sensor against results obtained with conventional devices. A set of measurements have been taken to study the flame emission levels and their transient variations. Moreover, a flame detection algorithm, adapted to our sensor asynchronous outputs, has been developed. Results show that asynchronous spiking sensors have an excellent potential for flame analysis and monitoring.

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Fast luminance measurement method for asynchronous spiking pixels

Leñero‐Bardallo

García-Pacheco

2018

Electron. lett.

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We present a new method to obtain a continuous and fast measurement of light intensity. It is targeted for Integrate and Fire (I&F) pixels that pulse with a frequency proportional to illumination. The procedure is intended to speed up the pixel readout of low illuminated pixels. It does not require synchronization of different digital signals, being compatible with continuous pixel operation. The method fundamentals are described in the letter. Experimental results validating the theory are provided.

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Flame monitoring with an AER color vision sensor

Cited by 6 publications

References 15 publications

Applications of event‐based image sensors—Review and analysis

Applications of event‐based image sensors—Review and analysis

On the Analysis and Detection of Flames With an Asynchronous Spiking Image Sensor

Fast luminance measurement method for asynchronous spiking pixels

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