Blog tagged as textile waste reduction

By leveraging advanced technologies such as machine vision, deep learning, and edge computing, manufacturers can detect defects with unparalleled accuracy, ensuring that only AI-driven defect detection is revolutionizing quality control in the technical textile industry.

AI-powered machine vision is revolutionizing the detection of defects in technical textiles, offering manufacturers an efficient and reliable solution to ensure high-quality products.

With AI, camera technology, and data processing advancements, machine vision is transforming how manufacturers detect defects, manage quality control, and reduce waste.

The future of defect detection will be driven by AI and machine learning advancements, integrating seamlessly with other Industry 4.0 technologies such as the Internet of Things (IoT) and edge computing.

Automation has played a significant role in the manufacturing industry for decades, but recent advances in technology have led to even greater automation capabilities. Before understanding the benefits of automation in FIBC industry, let’s discuss more on automation in manufacturing industry. Automa...

Using its bank of data on defects, KWIS identifies defects and cutting in such a manner as to reduce material wastage.

Automated textile inspection is widely used for replacing human interventions during the entire production process and allows the production of customized fabrics based on consumer requirements.