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

Leñero‐Bardallo, Juan A.; Guerrero-Rodríguez, José-María; Carmona-Galán, Ricardo; Rodríguez-Vázquez, Á.

doi:10.1109/jsen.2018.2851063

Cited by 12 publications

(4 citation statements)

References 14 publications

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“…In (Zhou et al, 2019), optical resistive random access memory (ORRAM) arrays are utilized as synaptic devices for neuromorphic vision sensors. Lenero et al (Lenero et al, 2018) used the integral sampling model in the infrared band, which can image in the infrared band and has the advantages of high temporal resolution (Xu C. et al, 2022), high dynamics and low data redundancy (Shu et al, 2022). Galan et al (Galan et al, 2021) first developed a neuromorphic sensor for speech signals, namely Dynamic Audio Sensor (DAS).…”

Section: Way Of Expressionmentioning

confidence: 99%

Artificial intelligence-based spatio-temporal vision sensors: applications and prospects

Li,

Sun

2023

Front. Mater.

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Introduction: Advances in machine vision and mobile electronics will be accelerated by the creation of sophisticated optoelectronic vision sensors that allow for sophisticated picture recognition of visual information and data pre-processing. Several new types of vision sensors have been devised in the last decade to solve these drawbacks, one of which is neuromorphic vision sensors, which have exciting qualities such as high temporal resolution, broad dynamic range, and low energy consumption. Neuromorphic sensors are inspired by the working principles of biological sensory neurons and would be useful in telemedicine, health surveillance, security monitoring, automatic driving, intelligent robots, and other applications of the Internet of Things.Methods: This paper provides a comprehensive review of various state-of-the-art AI vision sensors and frameworks.Results: The fundamental signal processing techniques deployed and the associated challenges were discussed.Discussion: Finally, the role of vision sensors in computer vision is also discussed.

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Section: Way Of Expressionmentioning

confidence: 99%

Artificial intelligence-based spatio-temporal vision sensors: applications and prospects

Li,

Sun

2023

Front. Mater.

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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%

“…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%

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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“…Therefore, the present work has developed a prototype for avoiding accidents, which consists of a CMOS sensor camera, radar antenna, and IR laser illuminator. The design of a sensor using CMOS technology has been described, enabling the system's performance capability in terms of frames per second [29], [30]. Also, the calibration of an omnidirectional IR camera has been investigated for intelligent perception applications [31].…”

Section: Introductionmentioning

confidence: 99%

Development of TRINETRA : A Sensor Based Vision Enhancement System for Obstacle Detection on Railway Tracks

Saket¹

2021

Preprint

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The authors have developed a prototype, which promises easy passage for trains in unknown environments such as zero visibility situations, fog, smog, and heavy rain. The prototype is based upon the integration of a camera, Radio Detection and Ranging (RADAR), and Infrared (IR) Light Amplification by Stimulated Emission of Radiation (LASER).The camera used in the prototype catches a long-range view of the track and presents it live on a mini screen fixed in the loco pilot cabin. A combined short, mid, and long-range radar sensor system is used to detect obstacles continuously in loco pilot blind spots on the track, particularly for collision avoidance assistance at high speed. The present work proposes a long-range laser IR illuminator with a wide range of color and mono cameras to aid clear and precise monitoring in zero visibility conditions, which is fixed on the front portion/engine of the locomotive/engine. The prototype experimental results for 2 m - 2 km distances have been performed on a live running train, which shows that the developed prototype tracks obstacles effectively during fog and smog conditions. The design concept, observation, prototype model, and other technical specifications have been presented, and satisfactory results were found.

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

Cited by 12 publications

References 14 publications

Artificial intelligence-based spatio-temporal vision sensors: applications and prospects

Artificial intelligence-based spatio-temporal vision sensors: applications and prospects

Applications of event‐based image sensors—Review and analysis

Development of TRINETRA : A Sensor Based Vision Enhancement System for Obstacle Detection on Railway Tracks

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