HKRITA

Topic: Fashioning a Circular Textile Economy Through Industry Collaboration This panel discussion explored the rapidly changing landscape of sustainability in the global fashion and textile industry. Key themes included the increasing influence of regulatory frameworks, the critical role of material innovation, and the urgent need for enhanced collaboration across the entire supply chain. Panelists shared insights on how legislation is driving action, the importance of transparency and tracea...

In this insightful episode, Zoe Zhang, Engineer of HKRITA, takes us on a deep dive into the world of electrospinning technology and its impact on the textile industry: the fundamentals of nanomaterials, their transformative applications within the textile sector, as well as HKRITA's breakthrough in developing nanofibres using electrospinning technology. A must-listen for anyone eager to understand the future prospects and the ongoing challenges in integrating electrospinning technology into t...

In this episode, we bring together industry experts Derek Lai from HKRITA, Bo Yu from the Shenzhen Smart Manufacturing Industry Promotion Association, Bin Chen from Tanwu AI Technology (Guangdong) Co., Ltd., and Jieyu Zhong from Foshan Haotuo Information Technology Co., Ltd. The panel discusses the transformative power of AI in textile fabric research and development. Explore the opportunities and changes AI has sparked within their fields and the challenges of commercializing these technolog...

In our second episode, we delve into the collaboration between R&D and supply chain management. We tackle the challenges of achieving transparency and quality data while spotlighting innovative design models, reuse, and recycling efforts. Hear from industry leaders including Katherine Chan (HKRITA), Lei Ma (Eastman), Denier Qi (High Fashion) and Simon Chen (Textile Genesis, a Lectra company) about their current projects and the potential impact of sharing their work with a broader audienc...

Join an expert panel at Intertextile Apparel for a dynamic discussion on advancing sustainability through innovation. Explore strategies to overcome barriers, foster collaboration, and scale impactful solutions for both environmental and business growth. Featuring Katherine Chan (HKRITA), Lei Ma (Eastman), Denier Qi (High Fashion), and Simon Chen (Textile Genesis, a Lectra company), with moderation by Karl Borgschulze (CSI), this episode reveals the challenges in driving sustainability in the...

Do not underestimated the significance of textile waste in landfills. Redress has dedicated years to addressing this pressing issue. Through collaboration with Open Lab, efforts are being made to sort and recycle textile fibers effectively. Ms Aurianne Ricquier, Circular Fashion Programme Director at Redress, and Ms Clara Tse, Senior Manager at HKRITA, discuss the objectives of this collaborative project. The goal is to transform textile recycling in Hong Kong into a beacon of hope for sustai...

Explore a unique blend of technology and sustainability with Epson. Mr Yohei Konakajima, Senior Manager of Strategic Product Planning at Epson Hong Kong, shares their innovative approach to transforming waste into paper, showcasing how Epson is redefining possibilities beyond electrical appliances.

專題討論由武漢紡織大學夏良軍教授主持，與四位紡織專家圍繞創新材料的循環機制與可持續發展展開了深入探討，從不同角度分享了各自領域的最新研究成果和實踐經驗，為實現循環經濟和可持續發展提供了有力支持。

UNIFI全球執行副總裁及蘇州優富紡織品有限公司董事長兼總經理寧紅軍先生在本集分享了UNIFI推出的可染色再生紗線產品，及展示了UNIFI最新的Textile Takeback™ 技術，該技術能夠將廢布料回收制成紗線，實現了紡織品的閉環再生。

武漢紡織大學紡織新材料與先進加工技術國家重點實驗室特聘教授夏良君教授分享了在紡織纖維材料領域的創新成果，特別是在環保染色和功能化應用方面的突破，實現紡織纖維材料的環保技術。

The panel discussion session was moderated by Dr. Tracy Mok, Associate Professor, School of Fashion and Textiles of PolyU. She explored the various applications of AI in the apparel industry, as well as the challenges faced in AI implementation, such as data collection, concerns about originality, and one-way communication, together with all distinguished guests.

Mr Stephen Sze, Chief Technology Officer of Alvanon shared his company's latest body shape AI technology. Based on a vast amount of human body data, they have created diverse virtual fit models. Combining traditional measurement and AI algorithms, they can achieve personalized size recommendations and in-depth body shape analysis, providing consumers with more accurate and personalized size recommendations.