Advanced Robotics in Plastic Film Recycling: Enhancing Automation and Efficiency in Grade C Film Densification with Gen AI

DOI

10.2991/978-94-6463-716-8_35How to use a DOI?

Keywords

Plastic Film Recycling; Grade C Film; Robotics; Generative AI; Automation; Densification; Contamination Reduction; Sensor Integration; Predictive Maintenance; Circular Economy; Sustainable Waste Management

Abstract

The increasing reliance on cloud-hosted AI models creates new challenges in protecting one’s IP since these are irreplaceable corporate assets created through massive investments involving data, research, and expertise. This paper will present some significant strategies for protecting AI models in a cloud environment, considering technical, legal, and operational perspectives on IP protection. It detects some potential risks likely to occur in unauthorized access, reverse engineering, and data breaches; it analyzes some solutions for such issues: encryption, access controls, watermarking, and confidential computing. It also presents the legal framework of IP registration, licensing, and NDAs, which provide legal protection and the correct definition for model use. This paper, therefore, reviews some of these strategies with the aid of some case studies to put forward a comprehensive understanding of organizations regarding effective IP protection measures while deploying AI in the cloud. Based on the results, moving toward a multilayered approach incorporating technical security, legal safeguards, and robust management practices is of the essence to reduce the risks and secure valuable AI assets in an increasingly cloud-dependent landscape. Conclusions that outline recommendations to businesses and future research directions in this dynamic field are drawn in this paper.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Rahul Vadisetty
AU  - Anand Polamarasetti
PY  - 2025
DA  - 2025/05/26
TI  - Advanced Robotics in Plastic Film Recycling: Enhancing Automation and Efficiency in Grade C Film Densification with Gen AI
BT  - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
PB  - Atlantis Press
SP  - 436
EP  - 455
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-716-8_35
DO  - 10.2991/978-94-6463-716-8_35
ID  - Vadisetty2025
ER  -