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https://www.um.edu.mt/library/oar/handle/123456789/123973| Title: | Characterisation of infrared sensors for close-proximity distance measurement |
| Authors: | Azzopardi, Brian Dimech, Evan Sammut, Andrew Mifsud, Adrian |
| Keywords: | Infrared detectors Computational intelligence Electrical engineering Time-of-flight mass spectrometry Position sensitive particle detectors |
| Issue Date: | 2023 |
| Publisher: | Institute of Electrical and Electronics Engineers |
| Citation: | Azzopardi, B., Dimech, E., Sammut, & A., Mifsud, A. (2023). Characterisation of infrared sensors for close-proximity distance measurement. IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. Singapore. DOI: 10.1109/IECON51785.2023.10312588. |
| Abstract: | In this paper, a preliminary review of a number of miniature commercial off-the-shelf (COTS) infrared (IR) sensors that may be employed for close-proximity non-contact distance measurement in small and confined spaces is presented. In particular, the experimental setup and method used to characterise four ranging sensors is described and the results obtained from various laboratory experiments are analysed and compared, underlining the strengths and limitations of each sensor. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/123973 |
| Appears in Collections: | Scholarly Works - FacEngESE |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Characterisation_of_infrared_sensors_for_close_proximity_distance_measurement_2023.pdf Restricted Access | 782.32 kB | Adobe PDF | View/Open Request a copy |
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