Embroidered fabric is a type of cloth that undergoes dyeing and finishing processes after weaving, making it a crucial raw material for further textile and apparel production. As a result, the visual quality of embroidered fabric significantly impacts subsequent printing and garment manufacturing stages. The primary objectives of textile manufacturers in inspecting these fabrics are twofold:
1) To identify the types and quantities of defects present in the fabric, allowing for accurate scoring of the fabric's quality.
2) To provide detailed information about each defect, enabling examiners to diagnose issues and implement effective solutions to prevent similar problems from recurring.
This process is essential for maintaining consistent product quality and minimizing waste.
In the embroidery fabric production process, common defects include missing warp threads, missing weft threads, and oil stains. Traditionally, fabric inspection has relied heavily on manual checks, where workers examine the fabric offline. Although this method can offer some level of quality control, it is often inefficient, prone to human error, and lacks consistency. Each inspector may interpret defects differently, leading to subjective evaluations without a standardized approach. This inconsistency results in unstable fabric quality, which negatively affects production efficiency and reduces profit margins, ultimately weakening the competitiveness of the final products.
To address these challenges, modern solutions have emerged that combine traditional visual inspection techniques with advanced automation technologies. Machine vision-based systems offer a reliable, objective, and consistent method for evaluating fabric appearance. These systems can detect defects both during the production process (online) and after completion (offline), ensuring high-quality output throughout the entire production cycle.
A machine vision system not only improves accuracy but also enhances efficiency by reducing reliance on manual labor. It provides real-time feedback, helping manufacturers maintain strict quality standards while cutting down on labor costs.
Xi'an Kede has extensive experience in industrial vision technology and on-site fabric inspection in textile factories. The company has successfully addressed challenges related to surface defect detection in textile products and glass fiber fabrics. By implementing these advanced systems, factories can reduce operational costs, improve product quality, and gain a stronger position in the competitive market.
With the integration of intelligent inspection systems, the textile industry is moving toward a more efficient, accurate, and sustainable future.
Wuxi Jinle Automobile Motor Factory , https://www.wxjldj.com