Polymer-Integrated Smart Biomedical Waste Management System Using AI and Sensor-Based Segregation

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Year : 2025 | Volume : 13 | 04 | Page : –
    By

    Rimjhim Bansal,

  • Kusum Tharani,

  • Trisha Rai,

  • Vanshika Budhiraja,

  1. Student, Department of Electrical and Electronics Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India
  2. Professor, Department of Electrical and Electronics Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India
  3. Student, Department of Electrical and Electronics Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India
  4. Student, Department of Electrical and Electronics Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India

Abstract

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Biomedical waste, which comes from healthcare facilities like hospitals, clinics, and labs, includes both infectious and non-infectious materials. This can range from sharps and pathological waste to pharmaceutical leftovers and general medical trash. If this waste isn’t handled, sorted, and disposed of properly, it can pose serious contamination risks, leading to infections, workplace hazards, environmental damage, and public health emergencies. Traditional biomedical waste management often relies on manual sorting, which is not only labor-intensive but also susceptible to human mistakes and unsafe practices. To tackle these issues, this study introduces a smart biomedical waste segregation system that uses optical sensors and artificial intelligence (AI) to identify and sort waste materials in real time.

The system follows established biomedical waste management guidelines by using polymer-based, color-coded bins that make waste collection safer and more organized. These bins are made from materials like polypropylene (PP), polyethylene (PE), and polylactic acid (PLA), selected for their durability, chemical resistance, ease of sterilization, and recyclability. By using these materials, we ensure they last longer and contribute to environmental sustainability by encouraging circular use and reducing reliance on landfills. The AI algorithm, trained on a detailed biomedical waste dataset, allows for accurate classification with minimal delay, while the sensor system monitors important physical factors like moisture, proximity, and temperature to improve decision-making accuracy. This automated method greatly reduces the need for human involvement, lowers the risk of exposure to hazardous waste, and upholds clinical hygiene.

Keywords: Biomedical Waste Management, Polymer Composites, Smart Bins, AI-Based Segregation, Healthcare Safety, Biodegradable Polymers, Sensor Integration

How to cite this article:
Rimjhim Bansal, Kusum Tharani, Trisha Rai, Vanshika Budhiraja. Polymer-Integrated Smart Biomedical Waste Management System Using AI and Sensor-Based Segregation. Journal of Polymer and Composites. 2025; 13(04):-.
How to cite this URL:
Rimjhim Bansal, Kusum Tharani, Trisha Rai, Vanshika Budhiraja. Polymer-Integrated Smart Biomedical Waste Management System Using AI and Sensor-Based Segregation. Journal of Polymer and Composites. 2025; 13(04):-. Available from: https://journals.stmjournals.com/jopc/article=2025/view=0


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Ahead of Print Subscription Original Research
Volume 13
04
Received 09/06/2025
Accepted 21/06/2025
Published 27/06/2025
Publication Time 18 Days
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