Page 72 - Raspberry Pi as a Foundation for Boosting Computer and Technology Literacy

5 Raspberry Pi usage
Nevertheless, healthcare facilities could employ a Raspberry Pi-
based IoT system to monitor patients’ body temperature, heart rate,
respiration, and body movements. Subsequently, the status of multi-
ple patients can be transferred to the server, allowing doctors to re-
motely review and analyse the data (Kumar and Rajasekaran 2016;
Pardeshi et al. 2017).
Similarly, Raspberry Pi devices could be integrated into the existing
sensor networks of various industrial companies and manufacturing
facilities. By replacing the conventional wired connection between the
sensors and the master node with a wireless protocol (e.g. Bluetooth,
Wi-Fi, or GPRS), companies can expand their sensor networks rapidly
and efficiently. This significantly decreases the number of blind spots
by allowing the sensors to be installed on moving parts or in remote
places (Senthilkumar et al. 2016). Furthermore, the wireless sensor
node (WSN) itself is highly portable, making it easy to maintain and
upgrade (Patil et al. 2018).
The aforementioned systems might be employed to monitor and
optimize their current energy consumption (Mudaliar and Sivakumar
2020; Zanzmeriya and Panara 2018) along with the factors influencing
the production environment. These factors encompass light intensity
(N. P. Kumar and Jatoth 2015; Sorte et al. 2021), temperature, humid-
ity, pressure, and air quality (Karankumar D., Shreya B., and Kapil S.
2014; Sunehra 2019).
In addition to mere monitoring, some organizations might want to
actively respond to the changing environment detected by sensors.
These responses can range from the remote control of motors and
cameras to the deployment of full-fledged robots. Similarly, these ac-
tions can be performed automatically through an IoT system.
Thus, Raspberry Pi devices could be employed to automate traffic
control by analysing traffic density through image processing (B. V.
Kumar et al. 2020). Moreover, they could serve as a basis for indus-
trial controllers, offering an alternative to the existing programma-
ble logic controllers (PLCs) (Vieira et al. 2020). The IoT framework
may also include surveillance robots designed to operate in manu-
facturing or hazardous environments (Santhosh Krishna et al. 2016).
Furthermore, some potentially useful applications might include a
system for controlling the flow rate of pipelines (Suresh et al. 2014),
or food storage and colour control in the food industry (Endres et al.
2022).

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