Thermal Infrared Imaging

Teena, M.; Manickavasagan, Annamalai

doi:10.1007/978-3-642-54888-8_8

Cited by 17 publications

(6 citation statements)

References 48 publications

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“…(Zeng and Luo, 2008), measurement of either the g s on individual leaves or larger-scale approaches such as measuring canopy temperature depression (CTD) have also been proposed (Devadas et al, 2009;Teena and Manickavasagan, 2014). Therefore, the potential impact of yellow rust on wheat and other crops may be predicted through the assessment of the green canopy area, the P n , leaf Chl and eventually g s , E and/or CTD.…”

Section: Introductionmentioning

confidence: 98%

Low-cost assessment of wheat resistance to yellow rust through conventional RGB images

Zhou

Elazab

Bort

et al. 2015

Computers and Electronics in Agriculture

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Section: Introductionmentioning

confidence: 98%

Low-cost assessment of wheat resistance to yellow rust through conventional RGB images

Zhou

Elazab

Bort

et al. 2015

Computers and Electronics in Agriculture

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“…Any object above absolute zero (−273°C) can continuously emit infrared rays. TI technology uses this principle to select multiple points on the surface of the object to be measured for temperature measurement, and then uses the infrared detector and optical imaging objective to reflect the thermal energy distribution of the object to the photosensitive element, thus drawing the temperature spatial distribution map (Mohd Ali et al., 2020; Teena & Manickavasagan, 2014). TI technology has high instantaneous and spatial resolution, and can quantify the change of surface temperature, providing the related properties of the measured object, such as structural composition, size, physical and chemical properties, and dynamic characteristics.…”

Section: Imaging Technologymentioning

confidence: 99%

Intelligent detection for fresh‐cut fruit and vegetable processing: Imaging technology

Tang

Zhang

Mujumdar

2022

Comp Rev Food Sci Food Safe

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Fresh-cut fruits and vegetables are healthy and convenient ready-to-eat foods, and the final quality is related to the raw materials and each step of the cutting unit. It is necessary to integrate suitable intelligent detection technologies into the production chain so as to inspect each operation to ensure high product quality. In this paper, several imaging technologies that can be applied online to the processing of fresh-cut products are reviewed, including: multispectral/hyperspectral imaging (M/HSI), fluorescence imaging (FI), X-ray imaging (XRI), ultrasonic imaging, thermal imaging (TI), magnetic resonance imaging (MRI), terahertz imaging, and microwave imaging (MWI). The principles, advantages, and limitations of these imaging technologies are critically summarized. The potential applications of these technologies in online quality control and detection during the fresh-cut processing are comprehensively discussed, including quality of raw materials, contamination of cutting equipment, foreign bodies mixed in the processing, browning and microorganisms of the cutting surface, quality/shelf-life evaluation, and so on. Finally, the challenges and future application prospects of imaging technology in industrialization are presented.

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“…A Tobii Pro X3-120 [40] was used to capture the baby's eye gaze at the rate of 120 Hz. (2) The use of thermal Infrared (IR) imaging, facilitates monitoring the baby's changes in emotional/arousal and attentional engagement as indicated by their Autonomic Nervous System (ANA) responses; i.e., parasympathetic and sympathetic [10,39] and it is used as a trigger as to when the agents should provide linguistic stimuli to the baby. (3) A human observer interface was used to capture the baby's communicative and social behaviors.…”

Section: Perceptual Modulesmentioning

confidence: 99%

Can a Signing Virtual Human Engage a Baby's Attention?

Gilani

Traum

Sortino

et al. 2019

Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents

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The child developmental period of ages 6-12 months marks a widely understood "critical period" for healthy language learning, during which, failure to receive exposure to language can place babies at risk for language and reading problems spanning life. Deaf babies constitute one vulnerable population as they can experience dramatically reduced or no access to usable linguistic input during this period. Technology has been used to augment linguistic input (e.g., auditory devices; language videotapes) but research finds limitations in learning. We evaluated an AI system that uses an Avatar (provides language and socially contingent interactions) and a robot (aids attention to the Avatar) to facilitate infants' ability to learn aspects of American Sign Language (ASL), and asked three questions: (1) Can babies with little/no exposure to ASL distinguish among the Avatar's different conversational modes (Linguistic Nursery Rhymes; Social Gestures; Idle/nonlinguistic postures; 3rd person observer)? (2) Can an Avatar stimulate babies' production of socially contingent responses, and crucially, nascent language responses? (3) What is the impact of parents' presence/absence of conversational participation? Surprisingly, babies (i) spontaneously distinguished among Avatar conversational modes, (ii) produced varied socially contingent responses to Avatar's modes, and (iii) parents influenced an increase in babies' response tokens to some Avatar modes, but the overall categories and pattern of babies' behavioral responses remained proportionately similar irrespective of parental participation. Of note, babies produced the greatest percentage of linguistic responses to the Avatar's Linguistic Nursery Rhymes versus other Avatar conversational modes. This work demonstrates the potential for Avatars to facilitate language learning in young babies.

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Thermal Infrared Imaging

Cited by 17 publications

References 48 publications

Low-cost assessment of wheat resistance to yellow rust through conventional RGB images

Low-cost assessment of wheat resistance to yellow rust through conventional RGB images

Intelligent detection for fresh‐cut fruit and vegetable processing: Imaging technology

Can a Signing Virtual Human Engage a Baby's Attention?

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