Smart Solar LED Street Light with ESP32 Camera Module

In 2016, there were 19,299 reports of street crime nationwide, according to the police.The most cases were in Selangor, Kuala Lumpur, Johor, and Perak with an increase in cases over 2013 in Kelantan, Negeri Sembilan and Perlis.The objective of this study was to determine how smart streetlights can adapt to the environment, which helps people today with their ability to observe their surroundings clearly while avoiding the existence of places where criminals can hide.This project is designed based on LDR sensor to turn ON the LED depends on light intensity while PIR sensor to control the brightness and microcontroller used is Arduino Uno.Furthermore, this project will also introduce the method to generate energy by using solar power that will store all the voltage in the battery.To ensure the safety of people at the surrounding, ESP32 camera module and emergency button are provided, and this will help to monitor the place and avoid any crimes that could possibly happened.The outcome from this project can be seen by the LDR sensor will turn ON the LED if the intensity of the light is less than 400 while the PIR sensor will increase the brightness of LED to 100% if there is motion detected but if there is no motion detected the brightness will remain 30%.Moreover, the push button will work as emergency button and when user press, it will turn on the buzzer and on the same time send the notification to the person in-charged.On the other hand, the ESP32 cam will display the live video through blynk apps.Automation is intended to reduce manpower with the help of intelligent systems, since the supply of electricity is limited for various of reasons, power consumption is always a top priority.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.os1-7
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00

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Smart Solar LED Street Light with ESP32 Camera Module

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Smart Solar LED Street Light with ESP32 Camera Module

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article en

Abstract

In 2016, there were 19,299 reports of street crime nationwide, according to the police.The most cases were in Selangor, Kuala Lumpur, Johor, and Perak with an increase in cases over 2013 in Kelantan, Negeri Sembilan and Perlis.The objective of this study was to determine how smart streetlights can adapt to the environment, which helps people today with their ability to observe their surroundings clearly while avoiding the existence of places where criminals can hide.This project is designed based on LDR sensor to turn ON the LED depends on light intensity while PIR sensor to control the brightness and microcontroller used is Arduino Uno.Furthermore, this project will also introduce the method to generate energy by using solar power that will store all the voltage in the battery.To ensure the safety of people at the surrounding, ESP32 camera module and emergency button are provided, and this will help to monitor the place and avoid any crimes that could possibly happened.The outcome from this project can be seen by the LDR sensor will turn ON the LED if the intensity of the light is less than 400 while the PIR sensor will increase the brightness of LED to 100% if there is motion detected but if there is no motion detected the brightness will remain 30%.Moreover, the push button will work as emergency button and when user press, it will turn on the buzzer and on the same time send the notification to the person in-charged.On the other hand, the ESP32 cam will display the live video through blynk apps.Automation is intended to reduce manpower with the help of intelligent systems, since the supply of electricity is limited for various of reasons, power consumption is always a top priority.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
Technical University of Malaysia Malacca (MY), Universiti Teknologi MARA (MY)
Universiti Teknologi MARA
Affordable and clean energy
Openalex Percentile: Top 88%
IoT-based Smart Home Systems
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