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Cited by 16CCD and CMOS Imaging SensorsRadiation Effects in ElectronicsRadiation Detection and Scintillator Technologies

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Gamma-Induced Image Degradation Analysis of Robot Vision Sensor for Autonomous Inspection of Nuclear Sites

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Khanam, Zeba, Aslam, Bilal, Saha, Sangeet, Zhai, Xiaojun, Ehsan, Shoaib, Stolkin, Rustam, McDonald-Maier, Klaus·2022·IEEE Sensors Journal
DOI 10.1109/jsen.2021.3050168
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Abstract

There is an increasing desire to conduct autonomous inspection of nuclear sites using robots. However, the presence of gamma radiation in nuclear sites induces degradation in vision sensors. In this paper, the effects of gamma radiation on a robot vision sensor (CMOS camera) used for radiological inspection is examined. The analyses have been carried out for two types of images at different dose rates: a) dark images b) illuminated images. In this work, dark images and chessboard images under illumination are analysed using various evaluation metrics to evaluate the effect of gamma radiation on CMOS Integrated Circuit (IC) and electronic circuitry of the sensor. Experimental results manifest significant changes in electrical properties like the generation of radiation-induced photo signal in sensing circuitry and radiation-induced noise affecting the visual odometry of the robot. System-level degradation for gamma dose rates upto 3 Gy/min intensifies, making data from the imaging sensor unreliable for the visual odometry. However, images captured for gamma dose rate upto 3 Gy/min can be used for surveillance purpose.

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  • Distributed optical fibre sensors exposed to radiation can experience increased noise intensity.

    “Additionally, distributed optical fibre sensors exposed to radiation can experience increased noise intensity (Guo et al., 2024;Khanam et al., 2021).”

    From Impact of Sensor Degradation on Measurement Uncertainty in Prognostics and Maintenance Decision-Making: State of the art and challenges (2025) · cites this paper as Khanam et al., 2021

    In C. Results and Analysis, the paper reports that noise in a gamma-irradiated sensor increases with dose rate. III. Experimental Realization identifies that sensor as a Raspberry Pi CMOS camera, not a distributed optical fibre sensor. The radiation-related noise increase is supported, but its application to the specified sensor type is not. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

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Metadata

Authors
Khanam, Z., Aslam, B., Saha, S., Zhai, X., Ehsan, S., Stolkin, R., & McDonald-Maier, K.
Affiliations
  • University of Essex (GB)
  • University of Birmingham (GB)
ORCID
Venue
IEEE Sensors Journal
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2022-09-15
Volume
22
Issue
18
Pages
17378-17390
ISSN
  • 1530-437X (ISSN-L)
  • 1558-1748
  • 2379-9153
DOI
10.1109/jsen.2021.3050168
OpenAlex
W3118343494
Cited by
16
References
0
Citations by year
2026: 1 · 2025: 3 · 2024: 4 · 2023: 3 · 2022: 3
FWCI
0.87
Type
journal article
Language
en
Open access
Licence
Locations
  • IEEE Sensors Journal (publishedVersion, cc-by)
  • ePrints Soton (University of Southampton) (acceptedVersion)
  • Open Access at Essex (University of Essex) (acceptedVersion)
Funders
U.K. Engineering and Physical Sciences Research Council (EP/R02572X/1, EP/P017487/1)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › CCD and CMOS Imaging Sensors
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Radiation Effects in Electronics
  • Physical Sciences › Physics and Astronomy › Radiation › Radiation Detection and Scintillator Technologies
Keywords
gamma radiation, image degradation, CMOS camera, autonomous inspection, nuclear facilities, visual odometry, radiation-induced noise, dose rate, dark images, surveillance

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