How Artificial Intelligence Is Transforming the Textile Industry

Dan Cermak -
AI, IoT, textiles
Illustration: © IoT For All

As the demand for products such as fitness trackers and wearable technology increases, so does the need for smart textile and smart apparel. According to a recent market report, the global elegant textile market size is expected to reach USD 5.55 billion by 2025.

The rise of new technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed the once labor-intensive textile industry. Computerized machinery is now found in most textile factories, and these machines are far more efficient at creating specific designs on a massive volume than human workers.

New smart apparel products are being created every day. By implementing AI along with technologies such as Bluetooth Low Energy (BLE), edge computing, and cloud data, smart textiles can monitor and communicate the wearer’s information, including biometric data such as blood pressure, heart rate, perspiration, temperature, and more.

This article will examine how AI is impacting the textile industry, some new Applications, and why ultra-low-power (ULP) technologies are a must to fully unleash AI at the endpoints.

AI in the Textile Industry

For textile manufacturers, AI is reshaping their entire production process and the way they conduct business. AI can access and collect historical and real-time operational data, providing insights that can improve operational efficiency. When you have a clear view of your operations, it is easier to tweak processes to magnify human workers’ capabilities.

Whether it is product cost, textile production, quality control, just-in-time manufacturing, data collection, or computer integrated manufacturing, AI leaves an imprint on every part of the process. Some commonly integrated AI applications for textile production include defect detection, pattern inspection, and color matching.

The use of AI has enabled smart apparel, or “smart clothes” that leverage IoT and electronic sensors to create a better user experience. By leveraging these technologies, smart clothes can offer a more comfortable experience and a more healthcare-focused experience. Below, we will examine some of these new possibilities in the textile industry.

Enabling New Applications

Much like how fitness trackers can help their users live a healthier and more attentive lifestyle, smart apparel combined with electronic sensing technology can do the same. However, since your clothes have a larger area of contact with your body than something like a smartwatch, smart apparel can potentially provide more types of physiological signal measurements.

Smart clothing can enable continuous monitoring of important biometrics, such as our heart rate. With long-term monitoring more feasible, physicians can better identify or diagnose potential cardiac diseases. Smart clothing helps patients collect complete and comprehensive heart-related data, track long-term heart disease, and enhance the detection and diagnosis of heart issues through regular monitoring over an extended period.

Following the COVID-19 outbreak, consumers have emphasized healthcare and medical attention in their wearable products, which is now extending to smart apparel. Clothes embedded with BLE technology can feel, sense, and regulate data, and the development of fabric-based sensors should only improve the overall wearing experience.

Artificial Intelligence isn’t the only technology driving forward the textile industry. Cloud data, edge compute, accurate sensors, and ultra-low-power technologies are also necessary components. Especially for smart clothes that rely on BLE and IoT technologies, a long-lasting energy source from their embedded battery must provide a satisfactory and useful consumer experience.

Author
Dan Cermak - Vice President of Architecture & Product Planning , Ambiq

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Guest writers are IoT experts and enthusiasts interested in sharing their insights with the IoT industry through IoT For All.
Guest writers are IoT experts and enthusiasts interested in sharing their insights with the IoT industry through IoT For All.