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Sorteur de couleurs Edamame

Color Sorter
May 26, 2025
Category Connection: Trieur couleur CCD
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Étiquettes:
#Trieur couleur de thé #Trieuse industrielle #machine en plastique de trieuse de couleur
Brief: Discover the 15 Tons Per Hour Double-Layer Crawler AI Deep Self-Learning Edamame Color Sorter, featuring ultra-high precision sorting and dynamic adaptive optimization. This AI-powered machine revolutionizes efficiency and cost with advanced deep learning algorithms for multi-dimensional feature recognition and environmental self-calibration.
Related Product Features:
  • Ultra-high precision sorting with AI algorithms for multi-dimensional feature recognition including color, texture, and shape.
  • Dynamic adaptive optimization with e-learning capability for quick model fine-tuning.
  • Environmental self-calibration to compensate for light fluctuations and dust interference.
  • Revolutionary efficiency with GPU-accelerated AI inference engine processing over 1,000 frames per second.
  • Energy consumption optimization reducing compressed air usage by 30%.
  • Complex scene adaptation using convolutional neural network (CNN) for accurate sorting.
  • High-speed processing capacity of 20 tons/hour, 40% higher than traditional models.
  • Annual energy saving cost exceeding 150,000 yuan for 24-hour production lines.
Les questions:
  • What makes this edamame color sorter different from traditional models?
    This sorter uses AI deep learning algorithms for multi-dimensional feature recognition, including color, texture, and shape, offering higher precision and adaptability compared to traditional single-threshold color sorters.
  • How does the AI deep learning feature improve sorting accuracy?
    The AI algorithms analyze multiple features like surface defects and complex backgrounds, reducing false positives to less than 0.01% and ensuring accurate sorting even in challenging conditions.
  • What are the energy-saving benefits of this machine?
    Through reinforcement learning, the sorter optimizes spray valve triggers, reducing compressed air consumption by 30%, leading to annual energy savings of over 150,000 yuan for continuous operations.
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