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TCRT5000 IR Sensor Module-Digital Ouput (KY-033)

SKU: NBMJKCN2RN
The TCRT5000 IR Sensor Module is a reflective infrared sensor designed to detect the presence of nearby objects, distinguish between light and dark surfaces, and perform line tracking with high accuracy. The module integrates a TCRT5000 infrared emitter and phototransistor along with an LM393 comparator, providing both analog and digital outputs for easy interfacing with microcontrollers. The sensor works by...
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Specifications

Specifications:

Module Type: Reflective IR Sensor Module
Sensor Model: TCRT5000
Detection Principle: Infrared Reflective Sensing
Emitter Wavelength: 950nm
Operating Voltage: 3.3V to 5V DC
Operating Current: Approximately 15mA to 20mA
Output Type: Digital Output (DO)
Comparator IC: LM393
Digital Output Logic: TTL Compatible
Detection Distance: Approximately 1mm to 8mm (Adjustable, Depending on Surface Reflectivity)
Peak Detection Distance: Approximately 2.5mm
Sensitivity Adjustment: Onboard Potentiometer
Detection Method: Infrared Reflection
Response Time: Fast Response
Indicator LEDs: Power LED and Detection LED
Interface Pins: VCC, GND, AO, DO
Operating Temperature: -25°C to +85°C
Storage Temperature: -40°C to +85°C
PCB Dimensions: Approximately 32mm × 14mm
Mounting Type: Through-Hole Module
Compatibility: Arduino, ESP32, STM32, Raspberry Pi Pico, AVR, PIC

Additional Resources

TCRT5000.PDF

FAQ

1. What is the TCRT5000 IR Sensor Module used for?

The TCRT5000 IR Sensor Module is used for line following, object detection, edge detection, surface reflectivity sensing, and obstacle detection in robotics and automation projects.

2. How does the TCRT5000 sensor work?

The sensor emits infrared light and measures the reflected light from nearby objects. The amount of reflected infrared light determines whether an object or surface is detected.

3. What outputs does the TCRT5000 module provide?

The module provides both an analog output for measuring reflected light intensity and a digital output for threshold-based object detection.

4. Can the TCRT5000 be used with Arduino and ESP32 boards?

Yes, the module is fully compatible with Arduino, ESP32, STM32, Raspberry Pi Pico, and other microcontrollers operating at 3.3V or 5V.

5. What is the typical detection range of the TCRT5000 module?

The module typically detects objects at a distance of 1mm to 8mm, with an optimal sensing distance of approximately 2.5mm, depending on the object's reflectivity and the sensitivity setting.

View full product details

The TCRT5000 IR Sensor Module is a reflective infrared sensor designed to detect the presence of nearby objects, distinguish between light and dark surfaces, and perform line tracking with high accuracy. The module integrates a TCRT5000 infrared emitter and phototransistor along with an LM393 comparator, providing both analog and digital outputs for easy interfacing with microcontrollers.

The sensor works by emitting infrared light and measuring the amount of light reflected back from an object. Highly reflective (light-colored) surfaces reflect more IR light, while dark surfaces absorb more, allowing the sensor to differentiate between them. An onboard potentiometer enables users to adjust the detection sensitivity according to the application.

The TCRT5000 IR Sensor Module is widely used in line-following robots, obstacle detection systems, object counters, edge detection, industrial automation, and educational electronics projects. It is fully compatible with Arduino, ESP32, STM32, Raspberry Pi Pico, and other microcontroller platforms.

Key Features

  • Reflective infrared object detection
  • High-quality TCRT5000 IR sensor
  • Analog and digital output signals
  • Built-in LM393 comparator
  • Adjustable detection sensitivity
  • Fast response time
  • Detects light and dark surfaces
  • Suitable for line-following robots
  • Low power consumption
  • Compact PCB module design
  • Onboard power and status indicator LEDs
  • Easy microcontroller interfacing
  • Compatible with Arduino, ESP32, STM32, and Raspberry Pi
  • Ideal for robotics and automation projects