LM393 Optical Photosensitive LDR light sensor module for Arduino Shield DC 3-5V - Pack of 2

The LM393 Optical Photosensitive LDR Light Sensor Module is a compact and reliable light detection module designed to sense ambient light intensity using an LDR (Light Dependent Resistor) and an LM393 voltage comparator IC. This module outputs both digital and analog signals, enabling easy interfacing with Arduino, ESP32, Raspberry Pi, and other microcontrollers for a wide range of automation and light-sensing applications.

With adjustable sensitivity via an onboard potentiometer, it is ideal for applications like automatic lighting systems, smart street lights, solar tracking, and light-activated switches. The dual output feature allows developers to monitor precise light intensity levels (analog) or trigger threshold-based events (digital).

Key Features:

• Operating Voltage: 3.3V – 5V DC

• Detection Mechanism: Light-dependent resistance (LDR)

• Comparator IC: LM393 Dual Comparator

• Output Signals:

  • Analog Output (AO): Real-time light intensity measurement

  • Digital Output (DO): Threshold-based trigger (adjustable)

• Onboard Potentiometer: Sensitivity adjustment for digital output

• Status LEDs: Power indicator and digital output indicator

• Compact PCB Design: Easy integration into Arduino Shields and embedded projects

• Compatible With: Arduino, ESP32, Raspberry Pi, and other development boards

Applications:

• Automatic Light Control Systems (Street Lights, Garden Lights)

• Light Intensity Monitoring Systems

• Smart Home Automation

• Solar Panel Sunlight Tracking

• DIY Light-Activated Projects

• IoT-Based Environment Sensing

• Educational Embedded Projects & Robotics

Package Includes:

• 2 x LM393 Optical Photosensitive LDR Light Sensor Module

Why Choose This Light Sensor Module?

• Dual output (analog & digital) for versatile application scenarios.

• Adjustable sensitivity for precise threshold settings.

• Simple 3-pin interface for quick integration with microcontrollers.

• Ideal for DIY IoT lighting projects, automation systems, and STEM learning.

• Compact, reliable, and cost-effective solution for light detection needs.