×
A Smart Environmentally Friendly Lamps and Air Quality Improvement System using Artificial Intelligence and IoT System (Internet of Things)

Authors

Chunming Zhu1 and Zachary Andow2, 1USA, 2California State Polytechnic University, USA

Abstract

In recent years, environmental and technological concerns have rapidly approached, emphasizing the importance of energy consumption. The paper details the design and implementation of a motion detection-based lamp system, capable of switching a lamp on and off based on predefined conditions, leading to significant energy savings. The project includes two-way communication between devices, a user-friendly control interface, and an accurate way to save energy. Users can control their system through the application and specify the requirements to their likening. This application can help ease of life along with a reduced energy consumption. Careful testing has been done along with control cases to compare the findings and shows the amount of precision that must be used for intelligent control systems. The results show that automated lights or electronics can be extremely useful along with the ability to remotely control your devices with the application. This application is suitable for consumption and offers a great opportunity for those invested to save energy with minimal effort.

Keywords

Energy Consumption, PIR sensor, Motion Detection, Adafruit ESP32-S2