On April 18, 2025, Jingduo (Shanghai) Intelligent Technology Co., Ltd. successfully held the "AI Empowers Zipper Industry Upgrade Conference" in Shanghai, and jointly initiated the national "Apparel Accessories AI Quality Inspection Alliance" together with Etam (France), colleagues in China's zipper industry, entrepreneur representatives and equipment manufacturers. The event attracted nearly 100 industry experts, enterprise representatives, well-known investors and media to participate, jointly discussing the innovative application of AI technology in zipper production and quality control.

　　Launch of Serial AI Zipper Quality Inspection Module Products

　　During the product launch session, Jingduo officially launched the N36, N40 and N80 series of AI intelligent quality inspection modules for finished zippers, as well as AI intelligent quality inspection module products used for slider threading machines, tooth arranging machines, 2-in-1 and 3-in-1 equipment. These products fully cover the whole-process inspection scenarios in the post-production process of zippers, achieving a dual breakthrough in inspection accuracy and efficiency. Dr. Song Yang predicted that in the next three years, with the empowerment of AI, the zipper manufacturing industry will achieve three major industrial breakthroughs.

　　1) The labor cost of the post-production workshop will be reduced by 50%, taking an important step towards less manpower and digitalization.

　　2) After introducing finished product quality inspection and key process AI quality inspection, customer complaints caused by product quality problems will decrease by 80%.

　　3) AI quality inspection will connect the core links of zipper manufacturing factories, comprehensively improve digitalization and intelligence, enabling the management of an entire factory with a single mobile phone.

　　Core Product Highlights

　　- JND-ZIP-N36A-S2 Double-sided Quality Inspection Module: Equipped with a 20-megapixel industrial camera, the detection speed reaches 35 pieces per minute. It can identify 21 types of defects such as missing codes, tape damage and tooth shrinkage, with a detection rate of over 98% and a dimensional accuracy of ±0.05mm.

　　- JND-ZIP-N40A-S1 Single-sided Quality Inspection Module: It performs defect detection on one side of the zipper, equipping old machines with "eyes" and giving them a second life. It greatly reduces the cost for customers to purchase new machines while realizing the empowerment of AI quality inspection.

　　- JND-ZIP-Latou-S2 Slider Threading Machine Quality Inspection Module: Pioneers the "template-free" AI detection technology, which automatically identifies the shape of the slider opening and reflective materials. The mold change efficiency is increased by 90%, solving the pain points of long time consumption and high error in traditional manual mold change.

　　- JND-ZIP-Pami-S1 Tooth Arranging Machine Quality Inspection Module: Breaks through the problem of special-shaped tooth detection, realizes automatic mold change adaptation based on AI technology, and is ready to use after startup. It can not only detect tooth defects, but also detect tape discoloration and damage, reducing the post-production inspection pressure.

　　- JND-ZIP-2IN1 2-in-1 Quality Inspection Module: Applied after 2-in-1 rear code injection molding, it can detect rear code misalignment, excessive material, insufficient material, rear code deformation and rear code separation. Defective products are punched.

　　- JND-ZIP-3IN1 3-in-1 Quality Inspection Module: Applied after slider threading and front code injection molding of 3-in-1 equipment, it can detect slider defects (Logo confusion, slider paint peeling, slider bubbles) and front code defects (skewness, excessive material, insufficient material, separation, shrinkage). Defective products and qualified products are automatically sorted on the conveyor belt.

　　Jingduo's AI quality inspection module is not only a "quality inspection tool", but also a "process optimization engine". Dr. Song Yang, General Manager of Jingduo, said, "Through AI-driven visual collection, data cloud storage and process connection, a full-process data closed loop can be formed within three years. We help customers reduce the defect rate from the source and achieve a 30% reduction in quality inspection costs."

　　Launch of Apparel Accessories AI Quality Inspection Alliance: Cross-border Co-construction of a New Industry Ecology

　　At the event, Jingduo, together with Etam (France), colleagues in China's zipper industry and young entrepreneur representatives, officially established the "National Apparel Accessories AI Quality Inspection Alliance", which is committed to promoting the construction of intelligent standards and technological innovation in the zipper industry. The alliance will jointly formulate AI quality inspection industry norms, unify defect definitions, detection accuracy and data interface standards; jointly apply for national-level intelligent manufacturing demonstration projects, and promote the implementation of policies and fund support.

　　The establishment of the alliance marks the transformation of the zipper industry from "single-point innovation" to "ecological collaboration". Through cross-border cooperation, it will accelerate the penetration of AI technology to the upstream and downstream of the industrial chain, reshaping the industry pattern of "quality is competitiveness".

　　Salon Forum: How AI Restructures the Value Chain of the Zipper Industry

　　In the high-end dialogue session, clothing brands, zipper enterprises, equipment manufacturers and Jingduo conducted in-depth discussions on AI applications:

　　- Brand-side Demand: Etam put forward the goal of "zero-defect delivery", expecting Jingduo's AI quality inspection to provide traceable quality reports for high-end clothing and strengthen consumer trust.

　　- Production-side Upgrade: Lixi Zipper shared the case of AI module implementation, stating that its customer return rate dropped from 1.8% to 0.3%, saving more than 1.5 million yuan annually.

　　- Technology Outlook: Jingduo revealed that it is developing an AI station quality inspection linkage system, which uses embedded sensors to monitor quality inspection data in real time, early warning the quality linkage of various process links in the production process, and greatly reducing the waste cost of zipper production.

　　Initial Cooperation Achievements of the Alliance: Three-Year Goals and Strategic Planning

　　According to the alliance agreement, the following work will be promoted in phases from 2025 to 2027:

　　1. Standards First: Release the "White Paper on AI Quality Inspection Technology for Zippers" to promote the industry to further improve the "AI full inspection coverage rate".

　　2. Technology Inclusiveness: Launch a subscription model of "equipment leasing + payment by detection volume" for intended zipper factories to lower the threshold for intelligence.

　　3. Ecosystem Expansion: Jointly launch the "AI Quality Inspection Certification Label" with clothing brands to create differentiated market selling points.

　　Outlook: From Quality Inspection to Intelligent Manufacturing, Opening a New Chapter for the Industry

　　At the end of the press conference, the participating guests jointly experienced the real-time demonstration of Jingduo's AI quality inspection modules, and visited the intelligent robotic arms, warehousing AGVs and digital twin monitoring platform. A representative of Etam (France) commented: "AI endows 'small zippers' with 'great wisdom', which will completely change the quality management logic of the clothing supply chain."

　　In the future, Jingduo will take the "AI Quality Inspection Alliance" as the fulcrum, continue to deepen the "technology + ecology" dual-drive strategy, and help China's zipper industry occupy a leading position in the global high-end market.

　　For more details, please pay attention to Jingduo Technology's official website (https://www.jdzntech.com) or WeChat official account (Jingduo Intelligent Technology).