Autonomous robot with fluorescence imaging system for invisible contamination detection and pathogen deactivation

Megan Tellinghuisen; Conner Carriere; Kaylee Husarik; Tarek Elderini; Hamed Taheri Gorji; Jianwei Qin; Diane E Chan; Insuck Baek; Moon S Kim; Nicholas MacKinnon; Stanislav Sokolov; Alireza Akhbardeh; Fartash Vasefi; Kouhyar Tavakolian

doi:10.1117/12.2623748

30 May 2022 Autonomous robot with fluorescence imaging system for invisible contamination detection and pathogen deactivation

Megan Tellinghuisen, Conner Carriere, Kaylee Husarik, Tarek Elderini, Hamed Taheri Gorji, Jianwei Qin, Diane E Chan, Insuck Baek, Moon S Kim, Nicholas MacKinnon, Stanislav Sokolov, Alireza Akhbardeh, Fartash Vasefi, Kouhyar Tavakolian

Author Affiliations +

Proceedings Volume PC12120, Sensing for Agriculture and Food Quality and Safety XIV; PC121200J (2022) https://doi.org/10.1117/12.2623748
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

This paper introduces an autonomous robot system with an intelligent contaminant detection and disinfection device. The system can maneuver and using a robotic arm can detect, disinfect, and document invisible organic contamination on surfaces that may host pathogens. We will present repeated autonomous detection of hard-to-see potato starch biofilms on a conveyor belt surface. The system will be designed to report the time and location of the detected contamination on a digital floor plan. The system also records the amount of germicidal energy dosage to the surface by calculating the optical power, exposure time and distance to the surface.

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Citation Download Citation

Megan Tellinghuisen, Conner Carriere, Kaylee Husarik, Tarek Elderini, Hamed Taheri Gorji, Jianwei Qin, Diane E Chan, Insuck Baek, Moon S Kim, Nicholas MacKinnon, Stanislav Sokolov, Alireza Akhbardeh, Fartash Vasefi, and Kouhyar Tavakolian "Autonomous robot with fluorescence imaging system for invisible contamination detection and pathogen deactivation", Proc. SPIE PC12120, Sensing for Agriculture and Food Quality and Safety XIV, PC121200J (30 May 2022); https://doi.org/10.1117/12.2623748

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