# IoT-Based Smart Surveillance System for High-Security Areas
## 1 Introduction
### State of the Art
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Year** & **Purpose** & **Evaluation Tool** & **Utilized Techniques** & **Performance Matrices** & **Datasets** \\ \hline
2010 & Object Detection & \begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & \begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & \begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & \
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} &
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} \\ \hline
2011 & \begin{tabular}{c} Breathing \\ Detection \\ \end{tabular} & \begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & \
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} &
\begin{tabular}{c} Singular value \\ Decomposition \\ \end{tabular} & Real-time \\ \hline
2013 & Object Detection &
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & X-band & Matrix formation & Time gating \\ \hline
2014 & Life Detection & Microprocessor & Frequency Domain & X, L, and S-Band & Real-Time \\ \hline
2015 & Object Detection & Voltage changes & \
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} &
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & Real-Time \\ \hline
2016 & Human Detection & Time Domain &
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & Through Graphics & Real-Time \\ \hline
2017 & \
\begin{tabular}{c} Breathing \\ Detection \\ \end{tabular} & Microprocessor &
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & Simple Matrix & Real-Time \\ \hline
2018 & \begin{tabular}{c} Moving Object \\ Detection \\ \end{tabular} & \
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} &
\begin{tabular}{c} KNN, SGD, SVM, \\ NB, DT \\ \end{tabular} & Average Accuracy & Real-Time \\ \hline
2018 & Motion Detection &
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & Frequency & Recording Time & Real-Time \\ \hline
2019 & Action Detection &
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & CNN & Confusion Matrix & Real-Time \\ \hline
2020 & Object Detection & Arduino IDE & \
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} &
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & Real-Time \\ \hline
2020 & Object Detection & Micro Controller & DT, RFC &
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & Real-Time \\ \hline
2020 & Human Detection & Calibration & Frequency & Back projection & Real-Time \\ \hline
2021 & Object Movement & \
\begin{tabular}{c} Matlab and \\ Arduino \\ \end{tabular} & Remote Sensing &
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & Real-Time \\ \hline
2021 & Motion Detection &
\begin{tabular}{c} RexNeXt-50 \\ \end{tabular} & CNN & Average and Time & Real-Time \\ \hline
2022 & Human Detection & Radar System &
\begin{tabular}{c} Not explicitly \\ mentioned \\ \end{tabular} & Signal Clutter Ratio & Real-Time \\ \hline
2023 & \begin{tabular}{c} Object Detection \\ (SS-HSA) \\ \end{tabular} & Arduino IDE & \begin{tabular}{c} RF, BC, SVM, DT, \\ KNN, NB \\ \end{tabular} & \
\begin{tabular}{c} Precision, Recall, \\ F1-Score, Accuracy \\ \end{tabular} &
\begin{tabular}{c} Real-time \\ Gauge \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Evaluation Tools and Technique used. tion scenarios because it has enormous dimensions that can compress sensing approaches. However, a classification system ought to be utilized to identify the state [16]. The phase detection approach is often integrated with the Doppler response method, which extracts vital signs related to respiration [17]. The MUSIC (Multi Signal Classification) algorithm is another approach commonly used in this field. Different percentages of a microwave signal, such as frequency and amplitude, are used to detect living things [18]. Stepped Frequency Continuous Wave (SFCW) radars have become the standard for Ultra-Wide Band radar (UWB) detection.