IR Obstacle Sensor Module | Reflective Photoelectric Light Sensor

Description

IR Obstacle Sensor Module – Reflective Photoelectric Light Intensity DIY Kit for Arduino

Product Description:
The IR Obstacle Sensor Module is designed to detect objects and changes in surroundings with high precision. It includes an IR transmitter, IR receiver, and LM393 comparator for accurate obstacle sensing.

This sensor module operates at 5V DC and provides a digital output, making it ideal for automation projects. With its adjustable detection range, it’s perfect for use in autonomous robots, industrial safety systems, and control feedback mechanisms. Additionally, its built-in ambient light sensor ensures reliable operation even in varying lighting conditions.

Key Features:

✔ Precise Obstacle Detection: Quickly detects objects within the adjustable range.
✔ Digital Output Signal: Easy integration with Arduino, Raspberry Pi, and microcontroller boards.
✔ Efficient Performance: Low power consumption (20mA supply current).
✔ Easy Installation: Includes mounting holes for stable placement.
✔ Versatile Applications: Ideal for robotics, automation, and security systems.

Specifications:

• Operating Voltage: 5V DC

• I/O Compatibility: Works with 5V & 3.3V logic levels

• Sensor Type: Infrared (IR) Reflective Sensor

• Current Consumption: 20mA

• Detection Method: Adjustable threshold via potentiometer

• Mounting: Pre-drilled holes for easy installation

• LED Indicators: Visual status feedback

How to Use:

1. Connect VCC and GND to the power supply (5V DC).

2. Attach the digital output pin to any GPIO pin on an Arduino or Raspberry Pi.

3. Adjust the potentiometer to set the sensing range as needed.

4. The DO output will switch between high and low based on the detected object.

Why Choose This IR Sensor Module?

This IR obstacle sensor ensures accurate, real-time object detection, making it a reliable choice for smart cars, security alarms, automation projects, and robotics. Whether you’re a DIY enthusiast, student, or professional, this module is essential for building intelligent systems.

Country of Origin: India