Light Sensing System Based on the Photoelectric Effect: Difference between revisions
Created page with "= Experiment to Measure Alcohol Concentration Using Oband Light Source and a Photodetector = == Team Member == Xu Ruizhe, Li Zerui, Ma Shunyu, Wei Heyi == Overview == This project is designed to demonstrate the photoelectric effect by developing a smart light sensing system. The system detects ambient light intensity using a photoresistor (LDR) or a photodiode and processes the data using an Arduino or Raspberry Pi. When the light intensity crosses a predefined threshol..." |
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== Objective == | == Objective == | ||
The main objective of this experiment is to showcase how a light sensor converts optical signals into electrical signals and how these signals can be used to automate responses. By setting a threshold for light intensity, the system demonstrates real-world applications such as automatic lighting control, security alerts, and smart home automation. Additionally, this project provides hands-on experience with microcontrollers, sensor integration, and real-time data processing. | The main objective of this experiment is to showcase how a light sensor converts optical signals into electrical signals and how these signals can be used to automate responses. By setting a threshold for light intensity, the system demonstrates real-world applications such as automatic lighting control, security alerts, and smart home automation. Additionally, this project provides hands-on experience with microcontrollers, sensor integration, and real-time data processing. | ||
== Equipment == | |||
Light sensors | |||
Arduino | |||
Output devices (LED, OLED, buzzer) | |||
5V power supply | |||
Optional WiFi or relay modules for remote monitoring and automation | |||
Revision as of 10:41, 4 March 2025
Experiment to Measure Alcohol Concentration Using Oband Light Source and a Photodetector
Team Member
Xu Ruizhe, Li Zerui, Ma Shunyu, Wei Heyi
Overview
This project is designed to demonstrate the photoelectric effect by developing a smart light sensing system. The system detects ambient light intensity using a photoresistor (LDR) or a photodiode and processes the data using an Arduino or Raspberry Pi. When the light intensity crosses a predefined threshold, the system triggers a response, such as turning on an LED, activating a buzzer, or adjusting a curtain. This experiment integrates concepts from electromagnetism and the photoelectric effect into a practical and easy-to-implement application.
Objective
The main objective of this experiment is to showcase how a light sensor converts optical signals into electrical signals and how these signals can be used to automate responses. By setting a threshold for light intensity, the system demonstrates real-world applications such as automatic lighting control, security alerts, and smart home automation. Additionally, this project provides hands-on experience with microcontrollers, sensor integration, and real-time data processing.
Equipment
Light sensors Arduino Output devices (LED, OLED, buzzer) 5V power supply Optional WiFi or relay modules for remote monitoring and automation
