**6. Conclusions**

In this chapter, a systematic literature review was conducted to find out what other researchers found about the Seat occupancy and reservation systems. This process incorporated the identification and comparison of different smart library seat occupancy and reservation systems and their weaknesses. It also helped the researcher to discover about the current operations on seat occupancy and reservation systems in libraries and the gaps that still need to be filled. In addition, previous research that describes characteristics of smart library, highlighting the advantages and disadvantages was explored to further understand real context and the methods that can be used to solve the current seat occupancy and reservation challenge was identified.

*A Systematic Review on IoT-Based Smart Technologies for Seat Occupancy and Reservation… DOI: http://dx.doi.org/10.5772/intechopen.113329*

To achieve this, the researcher reviewed previously researched papers, articles and journals related to IoT-based seat occupancy and reservation systems.

The IoT-based seat occupation and reservation systems are discussed in detail in this Chapter, illustrating various IoT-based seat occupation and reservation systems using different IoT technologies. These IoT methodologies include LBPH face recognition algorithm, Thing Speak channel, Up-squared board, ultrasonic sensor, Thing Speak cloud, SQLite Studio database, Python, RFID, FSR, Raspberry-Pi, Wi-Fi Module, Node MCU, PHP API and capacitance sensor chip. To establish the seat occupancy and rank the options, some approaches used a single procedure, such as the capacitance sensor technology. A combination of methods, including RFID and FSR, were used by other authors to identify the seat occupancy. To find out how many seats were occupied, researchers used a face recognition system, an ultrasonic sensor, and other tools. The gap in the literature is discussed and the shortcomings of these IoT-based reservation and seat occupation systems are highlighted. The adoption of mixed methods enhances performance. Other studies employed RFID and FSR. While FSR detects seat occupancy and transmits the information to the network layer, RFID is responsible for identifying authorized users who made a specific seat reservation.
