The Automatic Line Following Module (3 Channels) is a compact, ready-to-use sensor board designed for DIY robotics, line-following cars, and educational projects. It combines three independent infrared reflective sensors on a single PCB, each capable of detecting the presence or absence of a line beneath it. This makes it an ideal sensor suite for building line-following robots, automatic guided vehicles (AGVs), and edge detection systems without the need for complex wiring or calibration.
Each of the three sensor channels consists of an infrared emitter (IR LED) and an infrared receiver (phototransistor). The emitter emits infrared light downward toward the surface, and the receiver measures the reflected intensity. When the sensor is over a white surface (high reflectivity), the reflected IR is strong, and the output is typically LOW. When over a black line (low reflectivity), the reflected IR is weak, and the output is typically HIGH. This simple binary detection allows a robot to follow a black line on a white background (or vice versa).
The module features three independent digital outputs, one for each sensor channel. The outputs can be connected directly to a microcontroller’s digital input pins, enabling the robot to determine its position relative to the line and make steering decisions. The center sensor is typically used to detect the line directly ahead, while the left and right sensors detect deviation and allow the robot to correct its course.
Each channel has an onboard potentiometer for adjusting detection sensitivity, allowing the module to adapt to different surface colors, lighting conditions, and line contrasts. LED indicators show the state of each sensor in real time, making it easy to verify detection during setup and troubleshooting.
The module operates from a 3.3V to 5V DC supply, making it compatible with Arduino, ESP32, STM32, Raspberry Pi, and other microcontrollers. The compact PCB design with mounting holes allows easy integration into robot chassis and custom enclosures. The module is widely used in line-following robots, maze-solving robots, obstacle avoidance systems, educational STEM projects, and DIY robotics kits.
Important Note: The module is not waterproof and should be mounted 5–15mm above the surface for optimal detection. Detection performance can be affected by ambient infrared sources (such as sunlight or incandescent lighting) and highly reflective surfaces. For best results, use the module in controlled lighting conditions and calibrate the potentiometers for your specific surface.
Whether you are building a line-following robot, an automated guided vehicle, or a STEM educational kit, the Automatic Line Following Module (3 Channels) provides a reliable, affordable solution. It is suitable for individual makers, students, and businesses purchasing in bulk for product development or educational programs.
Features
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Three independent IR sensor channels — Left, center, and right detection
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Digital outputs — Each channel provides a clean HIGH/LOW signal
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Adjustable sensitivity — Onboard potentiometer for each channel
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LED indicators — Visual status for each sensor channel
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Wide voltage range — 3.3V to 5V DC, compatible with Arduino, ESP32, STM32, Raspberry Pi
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Compact PCB design — With mounting holes for easy integration
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Simple interface — Three digital outputs for direct connection to MCU
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Wide application range — Line-following robots, AGVs, edge detection, educational kits
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Ready to use — No complex wiring or calibration required
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Cost-effective — Affordable solution for line detection in volume production
Technical Specifications
| # | Parameter | Specification |
|---|---|---|
| 1 | Sensor Type | Infrared reflective (IR LED + phototransistor) |
| 2 | Number of Channels | 3 independent channels |
| 3 | Operating Voltage | 3.3V – 5V DC |
| 4 | Output Type | Digital (HIGH/LOW) per channel |
| 5 | Detection Height | 5 – 15mm (recommended) |
| 6 | Sensitivity Adjustment | Potentiometer per channel |
| 7 | Indication | LED per channel |
| 8 | Module Dimensions | Compact PCB with mounting holes |

















