This research explores the possibility of designing a system for monitoring driver drowsiness and supervising the use of seat belts in buses. Road accidents in long-distance bus transport in 2022 amount to 5449 only at the national level, where the human factor plays an important role. It is necessary to understand how the use of non-invasive sensors on passengers and drivers for monitoring and supervision can improve safety in interprovincial transportation. The objective of this research is to realize a system with the use of a Raspberry Pi 4 and Arduino NANO, which allows us to store such data. To achieve this, we used a conventional camera and MediaPipe to monitor driver drowsiness, while for passenger monitoring, we used different sensors available on the market and our own. RS485 communication was used for driver and passenger data storage. The simulations performed show a high-reliability rate in the detection of driver drowsiness under specific conditions and the correct functioning of the sensors for passenger monitoring. Therefore, it is possible to conclude the feasibility of the proposed system and that it can be implemented for real tests. The implications of this research indicate that the cost of the system is not an impediment to its implementation and thus improves safety in interprovincial transportation.

Food shortages in Perú, often caused by roadblocks on land communication routes due to demonstrations and seasonal variations, limit food production and contribute to scarcity, particularly in regions with limited agricultural land. To address this challenge, an automated control system and IoT architecture for wireless monitoring were developed to recreate specific climatic conditions within greenhouses, enabling the cultivation of crops typically restricted to certain regions. The control system regulates critical environmental parameters, including temperature, irrigation, and luminosity. Wireless monitoring of temperature, water level, luminosity, and pH within the greenhouse is achieved via radio frequency (RF) communication, with data transmitted to a database via WiFi. Real-time data visualization is enabled through a cross-platform application. A pilot-scale greenhouse was constructed to validate the proposed system. The implementation of the control system and IoT architecture effectively regulates environmental parameters and facilitates wireless monitoring, demonstrating its potential to enhance agricultural productivity and address food security concerns in Perú.