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Tags: channel infrared detector, IR line tracking module, obstacle avoidance sensor, LM393 IR module, TTL infrared sensor, Arduino line follower, 4-channel IR sensor, adjustable IR detector, robot tracking sensor, Infrared Detector Module
The 4CH-INFRARED-DETECTOR-SQ1 is a four-channel infrared reflective sensor module designed for line tracking and obstacle avoidance in robotic and automation projects. The module combines four independent infrared emitter–receiver pairs with an LM393 voltage comparator circuit, converting reflected IR light into clean, digital TTL-level outputs that can be read directly by an Arduino, ESP32, STM32, or any microcontroller with digital inputs. Each channel operates independently, allowing the module to detect edges, obstacles, or contrasting surfaces across four sensing points simultaneously.
The module is built on a main board measuring 44mm × 40mm × 12mm, with each individual sensor head measuring 25mm × 12mm × 12mm. Each channel has its own onboard potentiometer, enabling individual adjustment of detection sensitivity and threshold. Detection distance is adjustable from 1mm to 60cm, with the most stable performance at shorter ranges; white surfaces reflect the farthest, while darker surfaces reduce the effective range. The detection angle is specified at 35 degrees, giving each sensor a focused forward field of view suitable for line following and directed obstacle sensing.
The 4-channel infrared detector module operates from a 3.3V to 5V DC supply and provides a 6-wire output interface carrying the TTL-level channel signals. Output behavior is active-low: when an object enters the detection range, the corresponding channel output goes low (TTL 0) and its indicator LED lights up; when the path is clear, the output remains high (TTL 1). The operating temperature range is -10°C to +50°C, and the board includes 3mm mounting holes for secure installation on robot chassis and brackets. Typical applications include line-following robots, smart car obstacle avoidance, assembly line counting, edge detection, and black/white line tracking.
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