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成立於 2023 年，與國立台灣師範大學光電所謝振傑教授合作，開發出「沛德永續紡織材質智能分選系統」。該系統採用近紅外光譜技術及 AI 智能學習，可快速、非接觸式辨識紡織材質，準確度達 90%。致力於協助舊衣回收業者精準分類紡織材質，提供化纖廠品質穩定的回收廢紡，完成紡織循環經濟的最後一哩路。期盼透過上下游產業鏈整合，建立綠色紡織循環生態系，協助紡織產業永續發展，為保護地球盡一份心力。
Pade technology was founded in 2023 with Professor Jie Renjie (NTNU) to develop smart textile classification systems. The system uses near-infrared (NIR) spectroscopy and artificial intelligence to quickly and non-destructively identify textile materials, achieving high accuracy recognized by professional institutions. The technology aims to convert non-wear-resistant textiles currently destined for downcycling, landfill or incineration into valuable resources for textile-to-textile recycling.
Pade technology was founded in 2023 with Professor Jie Renjie (NTNU) to develop smart textile classification systems. The system uses near-infrared (NIR) spectroscopy and artificial intelligence to quickly and non-destructively identify textile materials, achieving high accuracy recognized by professional institutions. The technology aims to convert non-wear-resistant textiles currently destined for downcycling, landfill or incineration into valuable resources for textile-to-textile recycling.