Fc 51 Ir Sensor Datasheet Hot __hot__ -

If you are an electronics enthusiast or an embedded systems engineer, you have likely encountered the FC 51 infrared obstacle avoidance sensor. It is cheap, reliable, and ubiquitous in Arduino and Raspberry Pi projects—from line-following robots to proximity alarms.

A datasheet is essentially a specification sheet. Here are the key parameters extracted from the official data: fc 51 ir sensor datasheet hot

The FC-51 utilizes an LM393 dual voltage comparator IC as its processing core to deliver a clean, fast-switching digital output signal free of continuous analog jitter. Core Parametric Ratings Rated Value Stable logic integration at Current Consumption ( ) Lower baseline draw Current Consumption ( ) Maximum typical draw due to IR transmitter Detection Distance Range Configurable via on-board trim potentiometer Effective Detection Angle 35∘35 raised to the composed with power Cone-shaped tracking path Output Type Digital Signal Active-LOW logic scheme Active Output Level Triggered when a reflection is registered In-Active Output Level Default state when line-of-sight is completely clear PCB Form Factor Overall length: including sensor LEDs Hardware Architecture & Pin Configuration If you are an electronics enthusiast or an

The FC-51 relies on an to deliver clean, jitter-free digital signals. This architecture ensures the module remains highly stable across fluctuating ambient lighting conditions. Hardware Performance Data Specified Rating / Value Operating Voltage 3.0V to 6.0V DC (Highly stable at 3.3V & 5V) Current Consumption ~23 mA @ 3.3V | ~43 mA @ 5.0V Detection Distance Range 2 cm to 30 cm (Configurable via onboard trimmer) Detection Field of View IR Light Wavelength 940 nm (Invisible near-infrared spectrum) Output Signal Type TTL Digital Logic (Active LOW configuration) Physical PCB Footprint 3.1 cm × 1.4 cm Onboard Visual Indicators Power Status LED & Obstacle Activation LED 2. Pinout Configuration and Hardware Architecture Here are the key parameters extracted from the

The team quickly got to work, brainstorming solutions to mitigate the overheating issue. They decided to add a heat sink to the sensor, as well as implement a software-based temperature compensation algorithm to adjust for the ambient temperature.