## 4 Results  
The comprehensive examination and results of the proposed system architecture offer insights into its practical efficacy and potential impact on the textile industry. Through rigorous examination and validation, the effectiveness of the integrated sensor network and real-time monitoring framework becomes tangible, illustrating its capacity to drive improvements in operational efficiency, resource utilization, and environmental sustainability within the textile industry. The tables provided below offer a comprehensive overview of the data observed through various sensors and their corresponding characteristics within the textile manufacturing environment. The legends of Tables 1 and 2 with all abbreviations and definitions of all notations are given in Appendix B. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Sensor** & **Interval** & \begin{tabular}{c} **Initial Value** \\ **(Unit)** \\ \end{tabular} & \begin{tabular}{c} **1 st Loop Value** \\ **(Unit)** \\ \end{tabular} & \begin{tabular}{c} **2 nd Loop Value** \\ **(Unit)** \\ \end{tabular} & \
\begin{tabular}{c} **3 rd Loop Value** \\ **(Unit)** \\ \end{tabular} &
\begin{tabular}{c} **Final Value** \\ **(Unit)** \\ \end{tabular} \\ \hline Force & & & & & & \\ Sensitive & Every 5 s & 12.5 N & 13.2 N & 12.8 N & 13.5 N & 14.0 N \\ Resistor & & & & & & \\ \hline Robot Touch & & & & & & \\ Sensor & Every 10 s & Not Touched & Touched & Touched & Touched & Touched \\ \hline Temperature & Every 30 s & 25 \({}^{\circ}\)C & 26 \({}^{\circ}\)C & 26.5 \({}^{\circ}\)C & 27 \({}^{\circ}\)C & 27.5 \({}^{\circ}\)C \\ \hline Humidity Sensor & Every 30 s & 60\% RH & 58\% RH & 59\% RH & 58.5\% RH & 59.5\% RH \\ \hline PIR Motion & & & & & & \\ Sensor & Every 1 min & Not Detected & Detected & Detected & Detected & Detected \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Sensor data analysis. Figure 6: GUI layout for attaining data for different sensors remotely. In Table 1, labeled \"Sensor Data Analysis\", each sensor is listed along with the interval at which the data are collected, the initial value recorded at the start of the observation, as well as subsequent values recorded during the first, second, and third loops, culminating in the final value. For example, the force-sensitive resistor sensor records force measurements every 5 s, with values increasing from an initial 12.5 N to a final 14.0 N. Similarly, the temperature sensor LM35 records temperature every 30 s, showing a gradual increase from an initial 25 \({}^{\circ}\)C to a final 27.5 \({}^{\circ}\)C.  
In Table 2, titled \"Sensor Specifications\", details regarding each sensor's type, range of observation, and accuracy are provided. The sensors used were sourced from Test Instruments Manufacturers in Karachi, Pakistan, and those unavailable locally were ordered from Win Source Electronics online. For instance, the force-sensitive resistor sensor (FS-500) is capable of measuring forces ranging from 0 N to 20 N with an accuracy of \(\pm\)0.1 N. Similarly, the temperature sensor LM35 can observe temperatures from \(-\)55 \({}^{\circ}\)C to +150 \({}^{\circ}\)C with an accuracy of \(\pm\)0.5 \({}^{\circ}\)C. These specifications provide crucial insights into the capabilities and limitations of each sensor, aiding in the interpretation and utilization of the data they provide. Together, these tables offer a structured and informative overview of the sensor data and specifications, facilitating a better understanding of the observations and their implications in various applications. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
The real-time graphs are shown upon pressing the \"Graph\" button. Each parameter has its own graph button. Empirical Analysis and Outcome Evaluation of Sensors1. Humidity and force sensor results: The GUI integrates real-time data from the sensor to provide visual representations of the recorded measurements. Figure 7a displays the variations in humidity that can help predict maintenance needs.