DIYables TCRT5000 Infrared Reflectance Sensor Module for Obstacle Avoidance, Line Tracking and DIY Robotics

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TCRT5000 infrared reflectance sensor module obstacle avoidance line tracking robotics 2 pack Arduino ESP32 Click to zoom
TCRT5000 infrared reflectance sensor module obstacle avoidance line tracking robotics 2 pack Arduino ESP32TCRT5000 IR sensor module showing analog digital output for line follower robot projectsInfrared reflectance sensor TCRT5000 circuit board with adjustable sensitivity potentiometer for detectionTCRT5000 obstacle detection sensor showing IR transmitter receiver pair for surface detectionLine tracking sensor module TCRT5000 with mounting holes for robot chassis installation

Quick Overview

This DIYables TCRT5000 infrared reflectance sensor module (2-pack) is ideal for obstacle avoidance, line tracking, and DIY robotics projects with Arduino, ESP32, ESP8266, and Raspberry Pi. The module uses an infrared LED transmitter and phototransistor receiver to detect reflected light from surfaces, making it perfect for line-following robots and object detection.

The sensor provides both analog and digital outputs, offering flexible integration with various microcontroller platforms. The built-in potentiometer allows adjustment of detection sensitivity, enabling fine-tuning for different surface colors and ambient lighting conditions. The compact form factor with mounting holes makes it easy to integrate into robot chassis and tight spaces.

Ideal for line-following robots, obstacle avoidance cars, edge detection, color/contrast sensing, automation projects, smart vehicles, and any DIY robotics application requiring surface or object detection. The TCRT5000 sensor is widely used in educational robotics and maker projects.

Key Features

  • TCRT5000 IR Sensor — Reliable infrared reflectance detection
  • 2-Pack — Perfect for dual-sensor line tracking or obstacle detection
  • Dual Output — Analog and digital signals for versatile applications
  • Adjustable Sensitivity — Built-in potentiometer for threshold tuning
  • Obstacle Detection — Detects objects and surfaces via infrared reflection
  • Line Following — Perfect for track-following robots and line detection
  • Compact Design — Small form factor with mounting holes for easy installation
  • Wide Compatibility — Works with Arduino, ESP32, ESP8266, Raspberry Pi
  • Surface Detection — Detects color contrast and surface reflectivity
  • Fast Response — Quick detection for real-time robotics applications
  • Easy Integration — Simple pinout (VCC, GND, AO, DO)
  • Versatile Applications — Smart robots, automation, edge detection, color sensing

SPECIFICATION

Specification Value
Product Type Infrared Reflectance Sensor Module
Sensor Model TCRT5000
Infrared Component IR LED transmitter + phototransistor receiver
Output Types Analog (AO) and Digital (DO)
Sensitivity Adjustment Potentiometer for threshold tuning
Operating Voltage 3.3V to 5V DC
Detection Method Infrared light reflection from surfaces
Detection Range Short-range (typically 1-5mm for optimal detection)
Response Time Fast (suitable for real-time robotics)
Mounting Holes for easy chassis installation
Form Factor Compact module design
Quantity 2 pieces
Compatibility Arduino, ESP32, ESP8266, Raspberry Pi, any 3.3V or 5V microcontroller
Applications Line-following robots, obstacle avoidance, edge detection, color/contrast sensing, automation

COMPATIBLE HARDWARE

  • Arduino boards (UNO, Mega, Nano, etc.) — Analog and digital pin connections
  • Arduino Uno R4 WiFi/Minima — GPIO for line tracking and obstacle avoidance
  • ESP32 development boards — ADC for analog reading, GPIO for digital
  • ESP8266 boards (NodeMCU, Wemos D1, etc.) — Analog and digital input
  • Arduino Nano ESP32 — Compact robotics projects
  • Raspberry Pi (all models) — GPIO for digital, ADC for analog (with converter)
  • Raspberry Pi Pico — ADC and GPIO for sensor reading
  • Any 3.3V or 5V microcontroller — Universal compatibility
  • Line-following robots — Track detection and following
  • Obstacle avoidance cars — Surface and object detection
  • DIY robotics projects — Smart vehicles and automation
  • Edge detection systems — Prevent robots from falling off surfaces
  • Color/contrast sensing — Detect dark vs. light surfaces
  • Automation systems — Industrial and DIY automation
  • Educational robotics — STEM learning and maker projects