## 4 Results
Figure 7b shows the force captured by the sensor over a specific time period. Graphical results aid in understanding the behavior and performance of the humidity and force sensor. These results, when integrated with Industry 4.0 concepts, empower the textile industry to make data-driven decisions for process optimization, waste reduction, and improved energy efficiency. These applications contribute to a more sustainable and environmentally responsible textile sector, aligning with global sustainability goals. Water level and frequency of rotation in R.P.M (Rotations Per Minute) sensor results:  
Figure 8 illustrates changes in water level, depicting fluctuations that enable the industry to optimize water usage. Understanding these fluctuations allows for the implementation of closed-loop water reprocessing schemes, where water used in one process is treated and reused in another, thereby reducing total water consumption and promoting environmental conservation. Such sustainable water practices align with the industry's efforts to achieve eco-friendly operations. Figure 8: Water level, red mark indicates full level. If water reaches above red mark, text box displays “Above Level”. Figure 7: (**a**) Ten samples of constant 27% humidity present in environment that can be beneficial for protecting cotton and inventory in textile industry; (**b**) Force applied on force-sensitive resistor (FSR). For first 4 samples, it shows 0 N (Newton) force. Then applied force is 5 N for the next two seconds. While Figure 9 shows the frequency of rotation in R.P.M. captured by the sensor over a specific duration, unusual variations or trends in rotation speeds can be indicative of potential machinery issues or wear and tear. Optimizing the frequency of rotation helps reduce energy consumption and operational costs while maintaining productivity. By analyzing the R.P.M. data, textile industries can identify opportunities for process improvement, such as upgrading machinery or fine-tuning operational parameters to achieve higher levels of efficiency. 3. IP cam view:  
Many electronic devices are interconnected within networks consisting of multiple computers or cameras controlled via IP. Communication and data transmission within a domestic network are seamless. However, devices outside the network require a communication channel to connect with the main control system. These external devices can establish communication with the main control system via the internet using a router. Port forwarding plays a crucial role in transmitting data from remotely connected networks to the main control network via the internet. Failure to define the correct port number may result in data loss during transmission. The router determines where to route the data, collecting them from the external network with the defined IP address and port number. These collected data are then forwarded to the main control network using the domestic IP address and port number for transmission, as illustrated in Figure 10a,b. 4. Speech recognition:  
Additionally, presented below are the results of the speech recognition feature, seamlessly integrated into the GUI. This feature enables real-time audio input, essential for  
Figure 10: (**a**) Network structure; (**b**) processing diagram of IP camera. Figure 9: Different RPM values of the motor; real-time data are acquired using the opto-coupler, and they are plotted in the graph. accurate documentation in the textile industry. The GUI's advanced algorithms accurately transcribe spoken words into text, facilitating further processing. Figure 11 illustrates the performance of the speech recognition system, displaying a graph representing transcription accuracy over time. This graph allows for a comprehensive analysis of the system's accuracy, highlighting any variations or improvements over time. These results underscore the effectiveness and reliability of the speech recognition feature within the GUI, demonstrating its capability to convert spoken language into written text with precision and efficiency.