IoT Project with Arduino

The goal of this work is to create an automated lighting system that also counts visitors. This work aims to boost energy efficiency, strengthen security, and provide better service to end users in a variety of environments. The lack of a unified system that is capable of both automatic light control and reliable visitor counting is the focus of this study. An automatic lighting system that responds to occupancy levels, a visitor counting mechanism that allows for real-time tracking and counting, and a seamless integration of the two systems are all part of the project's intended outcomes. The work's relevance comes in the fact that it can cut down on energy waste, beef up security, and provide a better experience for visitors. Sustainable and cost-effective, automatic light controls turn on lights only when they are needed. Crowd management, security, and resource allocation are all improved by having an accurate headcount of visitors. This work has a wide range of possible uses, including commercial and retail establishments, schools, and other public places. Benefits in energy efficiency, security, and user experience make this system useful in many settings. The approach of the project includes the use of algorithms for visitor counts and light control decisions, data collecting via occupancy sensors and video analysis, and the selection and installation of suitable hardware and software components. The architecture of the system is set up to promote efficient interaction between its parts. The testing and analysis show that the visitor counting algorithm works well, that occupancy detection is accurate, and that automatic light management saves energy. The system's versatility and efficacy are demonstrated by an examination of its operation under a range of settings. The system's advantages lie in its precise algorithm for counting visitors, its effective method for controlling lights, and its ability to improve energy efficiency and visitor management. However, certain constraints exist, such as a reliance on carefully placed sensors and ideal climatic conditions. Future research directions are offered to address issues observed throughout the study. These include improving the visitor counting algorithm, investigating advanced computer vision techniques, and developing adaptive lighting management systems. In conclusion, this work aids in the creation of smart systems that boost safety, save money on utilities, and enrich the experiences of those who come. Benefits in resource management, sustainability, and user pleasure can be realized when automatic light control is combined with precise visitor counting in a variety of circumstances.