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AI-Powered
Solutions for Precious Metal Scrap Valuation & Identification
By integrating deep learning, image sensing, and market intelligence, Wellthings Co., Ltd. establishes a new standard for intelligent recycling. Through AI-powered automation, this technology enables scientific and precise value assessment as well as precious metal analysis.
Founded in 2013 and headquartered in Taipei, Taiwan, Wellthings Co., Ltd. specializes in applied technologies for precious metal and electronic waste recycling. The company is committed to transforming traditional recycling processes through data-driven and intelligent solutions, while continuously investing in AI model development and field validation to advance the recycling industry toward greater efficiency and sustainability.
元鑫國際股份有限公司成立於 2013 年，總部位於台灣台北，專注於貴金屬與電子廢棄物回收的應用技術。公司致力以數據與智慧科技革新傳統回收流程，並持續投入 AI 模型開發與場域實證，推動回收產業邁向高效能與永續化。
AI-Powered Patented Recycling Technology
Wellthings Co., Ltd. leads the industry with cutting-edge AI solutions for precious metal and electronic waste recycling.
- Patent I860011 (2023) – “Method for Valuation and Classification of Electronic Products and Material Components”: Integrates deep learning and image sensing to deliver real-time valuation while identifying material characteristics, dramatically improving efficiency and accuracy in high-value metal recovery.
- Patent I897705 (2025) – “Method for Batch Object Recognition and Valuation”: Uses AI to automatically analyze multiple objects, determine types and quantities, and calculate real-time market value. Ideal for large-scale operations such as inventory, recycling classification, and logistics monitoring, it replaces manual estimation and enables fully intelligent, automated workflows.
Together, these patented technologies set a new standard for precision, speed, and sustainability in global recycling operations.
Core Technology Highlights
Smarter AI, Superior Performance
Our deep learning system automatically identifies key features from large datasets, eliminating manual labeling and feature engineering. This delivers faster, more accurate recognition compared to traditional methods.
Real-World, Practical Data
Trained on over 30,000 real images from recycling sites and validated with data from international precious metal refineries, ensuring reliable, field-proven results.
Integrated Valuation
Classifies materials while simultaneously calculating real-time value based on global precious metal prices, adding practical utility to recycling operations.
Boosting Efficiency & Sustainability
Enhances speed and accuracy in high-value metal recycling, reduces human errors, prevents resource loss, and maximizes environmental sustainability.
Trusted Partner in Circular Economy
With years of technical expertise and ongoing model optimization, we provide a reliable, scientific, and scalable solution for electronic waste recycling, driving innovation in the circular economy.
A Step Forward in Sustainable Recycling
- Superior to Traditional Methods: Deep learning extracts features automatically, removing the need for manual labeling and improving model accuracy.
- Real-World Training Data: Our model is trained on actual recycling-site images and data from international refiners.
- Integrated Valuation: Beyond classification, it calculates real-time value based on global metal prices—offering practical, immediate insights.
A Step Forward in Sustainable Recycling
This technology significantly boosts the efficiency and accuracy of high-value metal recovery, reducing human error, minimizing resource loss, and advancing sustainable recycling practices.
Driving the Future of the Circular Economy
Backed by years of technical expertise and field experience, we continue to optimize our models and expand applications—committed to building a smarter, greener recycling future.
Group Companies
- WELLTHINGS
- +886-2545-8223
- +886-2545-8226
- info@wellthings.com.tw
- 10 F., No. 124-2, Sec. 3, Mincyuan E. Rd., Songshan Dist., Taipei City 105005, Taiwan (R.O.C.)