Authors : Ashwin Chaturvedi

Volume/Issue : Volume 11 - 2026, Issue 8 - August

---

Google Scholar : https://tinyurl.com/5y844zf2

DOI : https://doi.org/10.38124/ijisrt/26aug1475

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

---

Abstract : Implementation relies on mechanical singulation, Flying Beam optics, millisecond pneumatic ejection, and deep learning-driven multi-sensor fusion. Financially, NIR automation reduces labor overhead, avoids landfill tipping fees, and commands high-purity resin premiums while transitioning workers to skilled technical roles. Multi-industry applications in agrifood grading, fresh produce inspection, mineral sorting, and pharmaceutical QA further highlight its versatile operational value.

Keywords : Near-Infrared Spectroscopy; Hyperspectral Imaging; Automated Sorting; Plastic Waste Recycling; Material Recovery Facility; Chemometrics; Spectral Fingerprinting; Polymer Identification; Circular Economy.

References :

1. L. G. Weyer, "Near-infrared spectroscopy of organic substances," Applied Spectroscopy Reviews, vol. 21, no. 1-2, pp. 1–43, 1985.
2. C. G. Okparanma and J. M. Mouazen, "Determination of total petroleum hydrocarbons in contaminated soils using near-infrared spectroscopy," Environmental Science and Pollution Research, vol. 25, pp. 8410–8421, 2018.
3. E. Akyar, Wide Spectra of Quality Control, Rijeka, Croatia: InTech, 2012.
4. M. Manley, "Near-infrared imaging and hyperspectral imaging: Fundamentals and applications in food analysis," Chemical Society Reviews, vol. 43, no. 24, pp. 8200–8214, 2014.
5. T. Arnold, A. De Bhailís, and E. S. Research, "Hyperspectral imaging for material characterization and sorting in recycling applications," Journal of Spectral Imaging, vol. 10, pp. 1–14, 2021.
6. C. Yan, M. Zhang, and X. Liu, "Application of hyperspectral imaging in polymer sorting and quality control," Sensors, vol. 22, no. 8, p. 2912, 2022.
7. J. Neo, K. Y. H. Lim, and C. H. Tan, "Chemometric identification of commodity plastics using near-infrared spectroscopy," Waste Management, vol. 138, pp. 112–121, 2022.
8. J. Beigbeder, P. Perrin, and J. M. Lopez-Cuesta, "Industrial performance metrics and optimization of automated optical sorting lines in material recovery facilities," Resources, Conservation and Recycling, vol. 78, pp. 105–114, 2013.
9. M. Procházka, V. Hrabák, and J. Novák, "Comparative analysis of manual picking lines versus automated spectroscopic sorting in municipal solid waste processing," Journal of Cleaner Production, vol. 430, p. 139500, 2024