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Home Sensor IR (Infrared) Obstacle Avoidance Sensor Module (Range 2cm – 30cm)
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IR (Infrared) Obstacle Avoidance Sensor Module (Range 2cm - 30cm)

IR Obstacle Avoidance Sensor Module detects nearby objects using infrared light within a range of 2cm to 30cm. Ideal for obstacle detection, line-following robots, and Arduino-based automation projects.

Technical Specifications:

  1. Operating Voltage: 3.3V – 5V DC
  2. Detection Range: 2cm – 30cm (adjustable)
  3. Output Type: Digital (High/Low)
  4. Sensing Method: Infrared reflection
  5. Detection Angle: ≤ 35°
  6. Indicator: Onboard Power and Output LEDs
  7. PCB Size: Approx. 4.8cm × 1.5cm

SKU: EMC016
Original price was: ₹45.00.Current price is: ₹28.00.
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OVERVIEW

The IR (Infrared) Obstacle Avoidance Sensor Module is a simple yet powerful device that detects objects or obstacles in front of it using infrared reflection technology. It emits IR light and senses the reflected signal to determine the presence of an object within its detection range of 2cm to 30cm.

This module is widely used in robotics and automation for tasks like collision avoidance, path detection, and line-following robots. It provides a digital output (HIGH or LOW) that can be easily interfaced with Arduino, ESP32, NodeMCU, or Raspberry Pi.

The onboard potentiometer allows users to adjust the detection sensitivity as per project requirements. Compact, efficient, and easy to use — it’s an essential sensor for beginner and advanced robotics enthusiasts.


🧠 Features:

  1. Detects obstacles using infrared light reflection
  2. Adjustable detection range via onboard potentiometer
  3. Fast response and stable performance
  4. Easy digital output connection to Arduino or microcontrollers
  5. Compact design suitable for robotic vehicles and automation systems
  6. Onboard LEDs indicate power and detection status

📦 Applications:

  1. Obstacle detection in robots
  2. Line-following and edge detection robots
  3. Object counter or automation systems
  4. IoT-based motion detection and safety systems

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