EasyEDA open source hardware lab Circuit Diagram At the moment, street lamps control much of the urban environment only through manual control, via a control switch installed in each street lamp. A significant amount of electrical energy is lost. So we have created a solution for that problem which is an automatic street light only using NodeMCU, LDR sensor and IR sensor.
This document discusses a project to develop an IOT based smart street light system using Arduino, ESP8266 Node MCU Wi-Fi module, infrared sensor, and light dependent resistor. The system allows automatic switching of street lights based on ambient light levels and movement detection to save energy. It provides advantages over regular street light systems like being automatic, low maintenance CH_PD (ESP8266) to 3.3V (Arduino) TX (ESP8266) to RX (Arduino) RX (ESP8266) to TX (Arduino) Next, connect the LED: Long leg (anode) of the LED to pin 13 on Arduino. Short leg (cathode) of the LED to a 220-ohm resistor. Other end of the resistor to GND on Arduino. 2. Install the Blynk App. Download the Blynk app on your smartphone and create a
IoT Based Smart Street Light using NodeMCU ESP8266 and ThingSpeak Circuit Diagram
Automatic Brightness Adjustment: Street lights adjust their brightness levels based on ambient light conditions, ensuring optimal illumination at all times.; Motion Detection: Lights change brightness when motion is detected in the vicinity, enhancing security and safety for pedestrians and motorists.; Energy Efficiency: By intelligently managing lighting schedules and brightness levels, the The proposed IoT based system provide a solution for energy saving. We use IR sensor, Light Intensity sensor and NodeMCU (ESP8266) board to design an intelligent system. We use IR sensor for detecting vehicles on the road, Light sensor for detecting light intensity. Based on vehicles present on the road and light intensity, we control street Check out the complete Smart Street Light project here: https://iotdesignpro.com/projects/iot-based-smart-street-light-using-esp8266-and-thingspeakFor more I
Project Title: SmartStreet - An Adaptive & Self-Learning Smart Street Lighting Automation Introduction: Adaptive Smart Street Lightning is a module to automate existing street lights infrastructure using deployment of cost-efficient ESP8266 WiFi chipsets. The module optimizes group's net intensity (thereby energy costs) using self-learning over attributes like area light intensity (using
PDF IoT Based Smart Street Lighting System Circuit Diagram
immediately identifies it and increases the light intensity. As soon as the vehicle travels away from the sensor, the intensity of the taillight is reduced. And using the ESP8266 Module the traffic in the area can be saved regularly and the system can use this data to stay at . high intensity during those times. Both manually and automatically
The main goal of this project is to create a smart street light system using IoT technology to reduce energy consumption, increase efficiency, and optimize p
