Design and Implement IoT 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
Check out the complete Smart Street Light project here: https://iotdesignpro.com/projects/iot-based-smart-street-light-using-esp8266-and-thingspeakFor more I
Smart Street Lighting Systems Circuit Diagram
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
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. 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
Smart Street Light Using NodeMCU and IOT ThingSpeak Circuit Diagram
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 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
