The “Color Sorter Using Arduino UNO” design is intended for developing an affordable and accurate color-sorting system using a TCS3200 color sensor and an Arduino microcontroller, making the otherwise manual and error-prone process of color sorting automatic. Such a system combines servo motors for accurate movement, integrates an LCD for user interaction, and provides feedback through a buzzer to ensure real-time confirmation of accurate sorting of items. Its design is modular and user-friendly, requiring minimal training to operate and easy calibration. Hence, it benefits industries such as agriculture, manufacturing, recycling, and food processing by increasing product quality, reducing waste, and enhancing sustainability. In the agricultural sector, it ensures that only high-quality products reach consumers; it enhances quality control and consistency in manufacturing, and it speeds up sorting while increasing material purity in the recycling industry, thereby encouraging environmental sustainability. The design’s future sets the base for further development with machine learning and IoT capabilities , making the system more adaptive and intelligent. By reducing labor costs and increasing efficiency in industrial automation, the design offers a cost-effective and scalable solution.

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Design of Cost-Effective Color Sorting Machine Using Arduino

  • Saurav Verma,
  • Rahul Thambi,
  • Nikhil Nerurkar,
  • Raj Makadia

摘要

The “Color Sorter Using Arduino UNO” design is intended for developing an affordable and accurate color-sorting system using a TCS3200 color sensor and an Arduino microcontroller, making the otherwise manual and error-prone process of color sorting automatic. Such a system combines servo motors for accurate movement, integrates an LCD for user interaction, and provides feedback through a buzzer to ensure real-time confirmation of accurate sorting of items. Its design is modular and user-friendly, requiring minimal training to operate and easy calibration. Hence, it benefits industries such as agriculture, manufacturing, recycling, and food processing by increasing product quality, reducing waste, and enhancing sustainability. In the agricultural sector, it ensures that only high-quality products reach consumers; it enhances quality control and consistency in manufacturing, and it speeds up sorting while increasing material purity in the recycling industry, thereby encouraging environmental sustainability. The design’s future sets the base for further development with machine learning and IoT capabilities , making the system more adaptive and intelligent. By reducing labor costs and increasing efficiency in industrial automation, the design offers a cost-effective and scalable solution.