# Industrial-Grade Edge Computing Device for Smart Furniture Products
## 2 Related Work
Since thesekeywords can be associated with many other items not related to home Internet of Things or smart furniture, the authors searched for patents mentioning the keywords \"Home IoT\", which returned a less extensive result list, averaging 0.39 patents per day, yet with a very indicative distribution, with 1 patent per year in 2010 and more than 1 patent per day in 2020, showing a significant growth rate. The additional keyword \"Smart Furniture\" was used to better understand the results. More general keyword usage gave us more results (two-to-three-fold) in relation to \"Home IoT\". Table 1 lists the aforementioned data in raw numbers and Table 2 represents the yearly growth in specific numbers of published patents. In conclusion, the data clearly show that the Internet of Things is associated with a great number of patents in 2021 (101.206), and the term smart home is also on the rise. The two can be considered to be more general terms that will result in connectivity being a part of more and more items in our lives. Home IoT, on the other hand, is a much narrower term that is closely associated with the household Internet of Things. This term demonstrates strong yearly growth rates. Smart furniture is yet another more general term, but still manages to show an interesting growth rate in a parallel time frame. The second criterion to establish the market trend was to research strings used by possible users via the Google Trends search engine. Table 3 shows a relevant trend (shown as a percental relative number in relation to the maximum recorded search string detected \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Year** & **Smart Home** & **IoT** & **Home IoT** & **Smart Furniture** \\ \hline
2010 & 500 & 781 & 1 & 2 \\
2011 & 618 & 1.200 & 3 & 11 \\
2012 & 1.092 & 1.826 & 9 & 9 \\
2013 & 1.627 & 2.507 & 18 & 28 \\
2014 & 3.864 & 4.212 & 41 & 53 \\
2015 & 10.552 & 7.559 & 39 & 193 \\
2016 & 16.417 & 15.284 & 116 & 285 \\
2017 & 17.909 & 27.719 & 209 & 368 \\
2018 & 24.159 & 55.747 & 252 & 853 \\
2019 & 26.630 & 75.442 & 340 & 709 \\
2020 & 34.871 & 92.802 & 380 & 821 \\
2021 & 42.350 & 101.206 & 314 & 1.092 \\ \hline Cumulative & 180.589 & 386.285 & 1.722 & 4.424 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Number of published patents per year according to keywords. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Year** & **Smart Home** & **IoT** & **Home IoT** & **Smart Furniture** \\ \hline
2010 & - & - & - & - \\
2011 & 23.60\% & 53.65\% & 200.00\% & 450.00\% \\
2012 & 76.70\% & 52.17\% & 200.00\% & \(-18.18\%\) \\
2013 & 48.99\% & 37.29\% & 100.00\% & 211.11\% \\
2014 & 137.49  
input--date Nov 2018) in the form of a heat map/table. The green values represent lower hit cases, whereas warmer and red values represent higher hit cases. The above data show an increase in users' interest in Home IoT starting from 2016, which shows a correlation with the patent count in the same time frame. Taking the aforesaid into account, the authors conclude that there is sufficient market activity to encompass and consume possible future products like smart furniture that would be a part of the home IoT ecosystem. Despite the mentioned stand-alone commercial products that serve as multimedia hubs or smart home centers, a clear differentiation criterion is made between customer-grade commercial products and integrated furniture based on solid industrial-grade design and components. The major differences between the existing solution and the product suggested by the authors are presented in a table on lines 461-464 in Section 5.