Iot Enabled Smart Street Light and AI r Quality Control

Abstract

The research is based on the concept of smart city comprises the energy efficient operation of street lights measuring the air pollutants and control the pollutants to improve the air quality index. It is primarily built on the concept of piezoelectric effect and photo voltaic cells. It uses IoT to build a method for smart avenue lights systems alongside real-time online tracking of air pollutants. Free electrical energy science from photo voltaic cells and piezoelectric effect became the basis of the independent framework for the proposed device. It well manoeuvres the street bulbs in particular based absolutely on the movement of vehicles and daylight through the infrared (IR) and light detection resistor (LDR) sensors. Moreover, a web based monitoring arrangement is used for identifying faulty street bulbs with the assistance current flow. Based on the wide variety of automobiles surpassed at some stage in the dark, street bulbs dare operated at 2 specific potency i.e., from 50% to 100% with the intensity of 50% with inside missing of automobiles whilst working at 100% when vehicle’s approach. This dimming operation now no longer best complements the lifestyles span of streetlights however additionally permits substantial conservation of electricity by as much as 80%. Besides, actual online air pollution tracking allows the government to take appropriate steps whenever air quality index reaches an undesired level and requires immediate purification system to control and improve the air quality. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.