Browser-Based Object Detection System for Isolating Plastic Bottles using the COCO-SSD Model.

Chidozie Managwu; Ibrahim Kushchu; Daniel Matthias

doi:10.52589/BJCNIT-IT17PWUT

Browser-Based Object Detection System for Isolating Plastic Bottles using the COCO-SSD Model. | AB Journals

Browser-Based Object Detection System for Isolating Plastic Bottles using the COCO-SSD Model.

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British Journal of Computer, Networking and Information Technology

Vol. 7Issue 42024pp. 1–7Published 2 October 2024

DOI 10.52589/BJCNIT-IT17PWUT

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Abstract:

Plastic waste, especially in urban environments and water bodies, poses a significant environmental threat. This paper presents a browser-based object detection system for identifying and isolating plastic bottles using state-of-the-art machine learning models. The system leverages TensorFlow.js, ML5.js, and P5.js libraries along with the COCO-SSD model to detect plastic bottles in real time using a mobile camera interface. By employing a browser-based architecture, the system offers cross-platform functionality, eliminating the need for server-based computations or specialized hardware. Experimental evaluation showed high detection accuracy across various environments, underscoring the potential for real-world applications in waste management and recycling efforts.

Keywords:Object Detection Machine Learning TensorFlow.js COCO-SSD Browser-based AI Plastic Waste Real-time Detection.

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