Study the feasibility of a system that detects the presence of people in hotel rooms to save energy when the rooms are vacated

Nowadays, people's needs have led to the study of new technologies and tools to solve problems. One of the problems that has been studied for decades has been the issue of position quantification, trajectories to follow in order to reach a desired place, among other questions that have been asked over time. Many tools have emerged to help answer and advance with these questions, such as maps, the development of geographic coordinate systems and one of the most prominent lately, is the popular GPS (Global Positioning System). Evidently, the development that has been had for the location in closed environments has gone further and have created systems like the differential GPS, which is a system that provides modifications to the receivers of GPS in order to deliver a greater precision to the calculation of position. A possible application for this technology is when you want to track certain objects that are inside an apartment, hotel, warehouse, house, palletizing plant. As well as human and here the challenge is that, to be able to indicate to the operator who is in a hotel, if the parts that the hotel has are unoccupied, in order to have an energy efficiency, either to inspect it. The main objective of this thesis is to use and analyze a device to be able to see the viability and development of people within a hotel, thus reducing the energy expenditure that is had when performing this task. A comprehensive review of existing sensor technologies, including Wi-Fi, UWB, RF, Zigbee, and Time of Flight (ToF), is essential for determining which are most suitable for confined spaces. Through this analysis, it will be possible to establish which technologies can best meet the challenges posed by confined spaces, considering factors like signal interference, accuracy, and environmental adaptability. By comparing different sensors based on technical specifications, cost, and compatibility with the confined space environment, a list of viable options can be compiled. These devices will be evaluated based on their robustness, communication range, and energy efficiency to ensure they meet the thesis detection needs. Finally, the results obtained with the implementation of the sensor device VL53L7CX will be compared to those obtained from the systematic review. The VL53L7CX sensor will be installed in a test environment that mimics the conditions of a confined space. The software integration will involve developing a system that can process the data received from the sensors and accurately determine if individuals are present in the space based on the captured signals. Tests will then be conducted to verify both the connectivity between the sensors and the accuracy of the presence detection. The final phase involves documenting the entire process, from investigation to implementation, and the results obtained during the system trials. A technical report will be generated, detailing the system architecture, performance outcomes, and any lessons learned. Finally, recommendations will be made for potential improvements to the system for future implementation, ensuring that it continues to evolve and meet the specific needs of confined spaces.