YC5000 Infrared Reflective Level & Obstacle Sensor Module 5-24V (IR Photoelectric Detection Sensor)

The YC5000 Infrared Reflective Level & Obstacle Sensor Module is a non-contact photoelectric sensor designed for object detection, liquid level sensing, position detection, and obstacle avoidance applications. It uses infrared reflective technology to detect the presence or absence of objects by measuring the reflected infrared light from nearby surfaces. With a wide operating voltage range of 5V to 24V DC, the module can be easily integrated into PLCs, Arduino, ESP32, STM32, Raspberry Pi (via GPIO), and industrial automation systems.

The YC5000 is ideal for conveyor systems, packaging machines, liquid level monitoring, industrial automation, robotics, and embedded control projects requiring reliable reflective object detection.

Key Features -

• Infrared reflective photoelectric sensing technology

• Non-contact object and level detection

• Wide operating voltage from 5V to 24V DC

• Fast response for real-time sensing

• Stable and reliable detection performance

• Digital switching output

• Compact industrial-grade sensor design

• Suitable for PLCs and microcontroller systems

• Low power consumption

• Ideal for automation, level sensing, and obstacle detection

Specifications -

• Product type - Infrared Reflective Sensor Module

• Model - YC5000

• Detection type - Infrared Reflective Photoelectric Sensor

• Operating voltage - 5V to 24V DC

• Output type - Digital Signal Output

• Detection mode - Level Detection and Obstacle Sensing

• Response time - Fast Switching Response

• Sensing method - Infrared Reflection Detection

• Application - Automation and Detection Systems

• Package / Mounting type - Industrial Sensor Module

Applications -

• Liquid level detection

• Conveyor object detection

• Packaging machinery

• Industrial automation systems

• Robotics and obstacle avoidance

• Position detection systems

• Material presence detection

• Arduino and ESP32 automation projects

• PLC control systems

• Embedded sensing applications