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Implementation and integration of image processing blocks in a real-time bottle classification system.

Marco Aurelio Nuño-Maganda¹, Josué Helí Jiménez-Arteaga², Jose Hugo Barron-Zambrano³

¹Intelligent Systems Department, Polytechnic University of Victoria, 87138, Ciudad Victoria, Tamaulipas, Mexico. mnunom@upv.edu.mx.

Scientific Reports

|March 23, 2022

Summary

This summary is machine-generated.

Recycling tackles waste pollution, but bottle classification can be challenging. This study introduces a high-performance real-time hardware architecture for efficient bottle color classification using FPGAs.

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Area of Science:

Environmental Science
Computer Engineering
Materials Science

Background:

Waste pollution from large volumes of materials like plastic and glass poses significant environmental challenges.
Recycling is a practical solution, yet its implementation, particularly for bottle classification, faces hurdles in underdeveloped regions.
Existing bottle classification systems lack high-performance, real-time capabilities.

Purpose of the Study:

To propose and implement a high-performance real-time hardware architecture for bottle classification.
To develop a system capable of processing input images of bottles and outputting their color.
To address the limitations of current bottle recycling infrastructure through advanced technology.

Main Methods:

A novel hardware architecture was designed for real-time bottle classification.
The architecture was implemented on a Spartan-6 Field Programmable Gate Array (FPGA) using a Hardware Description Language.
Dedicated image processing blocks were integrated into a compact and tunable system and tested in a simulated environment.

Main Results:

The implemented system achieves a maximum processing rate of 60 frames per second.
The architecture supports various input resolutions, from 1080p up to 8K.
The system demonstrates high performance in classifying bottle colors in real-time.

Conclusions:

The developed FPGA-based architecture offers a high-performance solution for real-time bottle classification.
This system can significantly enhance the efficiency of recycling processes, especially where current methods are unfeasible.
The compact and tunable design provides flexibility for integration into existing or new waste management systems.