AIMC Topic: Product Packaging

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Generation of ultrasonic and audible sound waves for the automatic classification of packaging waste in reverse vending machines.

Waste management (New York, N.Y.) Jun 8, 2025
Reverse vending machines (RVMs) are essential for promoting waste sorting at the source by offering incentives for recycling. However, current RVMs, which primarily rely on expensive sensors such as barcode scanners and computer vision systems, face ...
Machine Learning Recycling Product Packaging Waste Management Acoustics Ultrasonic Waves Sound
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Contaminant detection in flexible polypropylene packaging waste using hyperspectral imaging and machine learning.

Waste management (New York, N.Y.) Feb 10, 2025
Flexible plastic packaging (FPP) constitutes one of the largest post-consumer plastic streams processed in recycling facilities. To address the key challenges of its sorting and quality control, this study developed and tested a classification proced...
Principal Component Analysis Hyperspectral Imaging Spectroscopy, Fourier Transform Infrared Product Packaging Recycling Polypropylenes Machine Learning
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Assessment of type and quantities of food and beverage plastic packaging: A case study.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Dec 8, 2024
Plastic pollution has been identified as one of the most pressing environmental issues of the 21st century, driven by excessive consumption and inadequate plastic waste management. This issue is particularly reflected in short lifespan of plastic pro...
Plastics Beverages Product Packaging Food Packaging Montenegro Waste Management Recycling
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The development of classification-based machine-learning models for the toxicity assessment of chemicals associated with plastic packaging.

Journal of hazardous materials Nov 30, 2024
Assessing chemical toxicity in materials like plastic packaging is critical to safeguarding public health. This study presents the development of classification-based machine learning models to predict the toxicity of chemicals associated with plasti...
Hazardous Substances Product Packaging Plastics Toxicity Tests Machine Learning Support Vector Machine Humans
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A Novel Two-Stage Induced Deep Learning System for Classifying Similar Drugs with Diverse Packaging.

Sensors (Basel, Switzerland) Aug 19, 2023
Dispensing errors play a crucial role in various medical errors, unfortunately emerging as the third leading cause of death in the United States. This alarming statistic has spurred the World Health Organization (WHO) into action, leading to the init...
Humans Product Packaging Benchmarking Patient Safety Deep Learning Cognition
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Nondestructive and multiplex differentiation of pathogenic microorganisms from spoilage microflora on seafood using paper chromogenic array and neural network.

Food research international (Ottawa, Ont.) Oct 17, 2022
Non-destructive detection of human foodborne pathogens is critical to ensuring food safety and public health. Here, we report a new method using a paper chromogenic array coupled with a machine learning neural network (PCA-NN) to detect viable pathog...
Product Packaging Shewanella putrefaciens Seafood Humans Food Safety Neural Networks, Computer Machine Learning
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Sensor-based particle mass prediction of lightweight packaging waste using machine learning algorithms.

Waste management (New York, N.Y.) Oct 26, 2021
Sensor-based material flow characterization (SBMC) promises to improve the performance of future-generation sorting plants by enabling new applications like automatic quality monitoring or process control. Prerequisite for this is the derivation of m...
Machine Learning Particle Size Product Packaging Physical Phenomena Algorithms
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Review on the photonic techniques suitable for automatic monitoring of the composition of multi-materials wastes in view of their posterior recycling.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Mar 21, 2021
In the increasingly pressing context of improving recycling, optical technologies present a broad potential to support the adequate sorting of plastics. Nevertheless, the commercially available solutions (for example, employing near-infrared spectros...
Recycling Product Packaging Plastics Artificial Intelligence Polymers
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