5-Channel IR Line Tracking & Obstacle Avoidance Sensor Module | Smart Robot Car Infrared Sensor for Arduino & DIY Robotics

Product Description

The 5-Channel IR Infrared Line Tracking Sensor Module is designed for smart robotic vehicles and automation systems that require accurate path-following and obstacle detection.

Equipped with five independent TCRT5000 infrared sensors, this module detects black and white surfaces or line edges with high precision. Each sensor outputs both analog and digital signals, enabling the robot to follow complex tracks, make turns, and avoid obstacles intelligently.

It is ideal for Arduino, ESP32, Raspberry Pi, and other microcontroller-based robotics projects that need reliable and responsive line-tracking performance.

Key Features

• Sensor Type: 5-channel infrared reflective sensor array

• Detection Method: IR reflection (black absorbs, white reflects)

• Operating Voltage: 3.3V – 5V DC

• Output Type:

  • Digital Output (DO): For line tracking

  • Analog Output (AO): Proportional to reflected IR intensity

• Adjustable Sensitivity: Independent potentiometers for each sensor

• Indicators: 5 onboard LEDs for real-time detection visualization

• Interface Pins: VCC, GND, and 5 signal outputs

• Effective Detection Range: 0.2 cm – 2 cm (depending on surface color)

• Module Width: Compact PCB for easy mounting on smart car chassis

• Response Time: Fast detection and processing speed (<1 ms)

• Compatibility: Arduino, Raspberry Pi, ESP32, and other controllers

Advantages

• Detects line edges and obstacles with high accuracy.

• Independent channel adjustment for improved performance on different surfaces.

• Ideal for line-following, maze-solving, and object avoidance robots.

• Simple wiring and plug-and-play operation.

• Provides real-time visual feedback via onboard indicator LEDs.

Applications

• Line-tracking smart cars and robotic platforms

• Maze-solving and path-following robots

• Obstacle avoidance systems

• Industrial automation and conveyor systems

• Educational robotics and Arduino STEM projects