LAPSE:2023.36507
Published Article
LAPSE:2023.36507
Development of a Lux Meter for the Identification of Liquids in Post-Consumer Polyethylene Terephthalate Bottles for Collection Centers in Mexico
August 3, 2023
This article aims to enhance technological advancements in the classification of polyethylene terephthalate (PET) bottle plastic, positively impacting sustainable development and providing effective solutions for collection centers (CC) in Mexico. Three experimental designs and machine learning tools for data processing were developed. The experiments considered three factors: bottle size, liquid volume, and bottle labels. The first experiment focused on determining the sensor distance from post-consumer PET bottles. The second experiment aimed to evaluate the sensor’s detection ability with varying liquid levels, while the third experiment assessed its detection capability for bottle labels. A digital lux meter integrated with a microcontroller was developed to monitor illuminance in post-consumer PET bottles containing liquid as they moved through a conveyor belt at an average rate of three bottles per second. The implemented methodology successfully detected liquids inside transparent PET bottles when they contained beverages ranging from 25% to 100% of their capacity. This study highlights the feasibility of implementing an affordable design for identifying bottles with liquids at CC.
Keywords
ANOVA, automation, classification, illuminance, lux meter, Machine Learning, municipal solid waste, PET, recycling
Suggested Citation
Ángeles-Hurtado LA, Rodríguez-Reséndiz J, Romero Zepeda H, Torres-Salinas H, García-Martínez JR, Salas-Aguilar SP. Development of a Lux Meter for the Identification of Liquids in Post-Consumer Polyethylene Terephthalate Bottles for Collection Centers in Mexico. (2023). LAPSE:2023.36507
Author Affiliations
Ángeles-Hurtado LA: Faculty of Engineering, Autonomous University of Querétaro, Querétaro 76010, Mexico [ORCID]
Rodríguez-Reséndiz J: Faculty of Engineering, Autonomous University of Querétaro, Querétaro 76010, Mexico [ORCID]
Romero Zepeda H: Faculty of Engineering, Autonomous University of Querétaro, Querétaro 76010, Mexico
Torres-Salinas H: Faculty of Informatics, Autonomous University of Querétaro, Querétaro 76230, Mexico [ORCID]
García-Martínez JR: Faculty of Engineering in Electronics and Communications, Universidad Veracruzana, Poza Rica 93390, Mexico [ORCID]
Salas-Aguilar SP: Faculty of Engineering, Autonomous University of Querétaro, Querétaro 76010, Mexico [ORCID]
Journal Name
Processes
Volume
11
Issue
7
First Page
1963
Year
2023
Publication Date
2023-06-28
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11071963, Publication Type: Journal Article
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LAPSE:2023.36507
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doi:10.3390/pr11071963
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Aug 3, 2023
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CC BY 4.0
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[v1] (Original Submission)
Aug 3, 2023
 
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Aug 3, 2023
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https://psecommunity.org/LAPSE:2023.36507
 
Original Submitter
Calvin Tsay
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