## 6 Conclusions  
The Industry 4.0 revolution is compelling industries to rethink their approaches and modernize their methods. It leverages tools from previous revolutions to connect devices to digital networks. This study focused on IoT devices in the textile industry, with a range of sensors and devices to optimize operations and enhance sustainability. The force-sensitive resistor (FSR) monitored machinery pressure, improving efficiency and minimizing downtime. Temperature sensors (LM35) controlled manufacturing temperatures, ensuring product quality and energy efficiency. Humidity sensors regulate moisture levels, extending the machinery's lifespan. PIR motion sensors enhanced security by detecting unauthorized access, while light intensity sensors optimized energy usage. GPS modules tracked goods for efficient logistics, and tank water level sensors managed water consumption sustainably. RPM sensors optimized machinery lifespan by monitoring rotation speeds, and IP cameras provided real-time surveillance for safety and security. These technologies collectively aim to improve operational efficiency, product quality, sustainability practices, and safety measures within the textile manufacturing context. These technologies were integrated into a single GUI interface, enabling real-time data visualization and streamlined management, further enhancing operational insights and decision-making capabilities in textile manufacturing. This approach can be further enhanced by implementing IoT technology for controlling and monitoring on a larger scale across various manufacturing sectors. When supervising industrial processes, a combination of structures, machinery, and algorithms is utilized to handle activities efficiently. This approach enables gathering information from areas where ground surveying is impractical or hazardous, such as industrial zones with harmful chemicals or gases. Remote sensing offers speed, scalability, and the ability to collect data beyond human reach, making it invaluable for long-term monitoring. The graphical user interface (GUI) provides a quick overview of multiple areas, \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Future Research Directions** & **Detailed Description** & **Possible Solution** & **Experts and Practitioners from the Pakistani Textile Industry** \\ \hline
**Sustainable wearable tech and smart textiles** & Development of eco-friendly wearable devices and smart textiles. & Create smart fabrics from recycled materials with sensors for comfort and performance. For example, fabrics regulate body temperature or track physical activity. & **Expert 4:** Textile technologist and product designer specializing in sustainability. \\ \hline
**IoT solutions based on renewable energy** & Adoption of IoT technologies powered by renewable energy sources. & Utilize solar-powered IoT devices for lighting control, reducing reliance on conventional energy sources and lowering environmental impact. & **Expert 5:** Sustainability engineer and an energy analyst with industrial expertise. \\ \hline
**Collaboration and data sharing** & Increased collaboration and data sharing among industry stakeholders to promote greener textile production. & Implement an IoT-based collaborative platform for sharing sustainability data and best practices. & **Expert 6:** Supply chain director and an environmental compliance officer with industry experience. \\ \hline \hline \end{tabular}
\end{table} 
Table 6: _Cont._saving time and reducing the need for extensive fieldwork. Additionally, remote sensing is cost-effective, as data can be shared among numerous users. The methodology outlined in this research explores smart techniques to develop sustainable systems, focusing on factors that influence smart systems. To fully realize the potential of this innovation, industries must possess the necessary resources to sustain the transformations brought about by the proposed system.