Description
Key Features
✔ Flame Detection Range – Up to 1 meter (adjustable via potentiometer). ✔ Dual Output Modes – Digital (TTL) & Analog for versatile use. ✔ High Sensitivity – Detects 760nm–1100nm wavelength (typical of flames). ✔ Adjustable Threshold – Onboard potentiometer to fine-tune sensitivity. ✔ Fast Response Time – Reacts instantly to flame presence. ✔ LED Indicator – Lights up when flame is detected (digital mode). ✔ Low Power Consumption – Works at 3.3V–5V DC.
Technical Specifications
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Operating Voltage: 3.3V–5V DC
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Detection Spectrum: 760nm–1100nm (IR range of flames)
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Output Signals:
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Digital (DO): TTL logic (HIGH/LOW) – adjustable threshold
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Analog (AO): Voltage proportional to flame intensity
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Detection Angle: ~60°
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Response Time: <100ms
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Dimensions: 32mm × 15mm × 8mm
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Weight: ~5g
Applications
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Fire Alarm Systems – Early warning for homes/offices.
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Robotics – Fire-fighting robots or competition bots.
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Industrial Safety – Monitor machinery for overheating/flames.
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DIY Projects – Camping safety devices or smart stove monitors.
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Educational Kits – Learn about IR sensing and safety electronics.
How It Works
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Power the Module – Connect VCC (3.3V–5V) and GND to a microcontroller.
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Select Output Mode:
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Digital (DO): Triggers a HIGH/LOW signal when flame is detected.
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Analog (AO): Provides a variable voltage for flame intensity analysis.
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Adjust Sensitivity – Use the potentiometer to set the detection threshold.
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Read Output – Use Arduino/RPi to process signals and trigger alarms/actions.
Package Includes
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1 × 4-Pin Flame Sensor Module
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(Optional) Jumper wires for quick connections
Why Choose This Flame Sensor?
✅ Reliable Detection – Accurately distinguishes flames from ambient light. ✅ Easy to Use – Works out of the box with Arduino/RPi. ✅ Compact & Durable – Small footprint for embedded projects. ✅ Cost-Effective – Affordable fire-sensing solution.
Get Yours Today!
Enhance your safety projects with the 4-Pin Flame Sensor Module—perfect for fire detection, robotics, and automation!
🔹 Order now and add flame sensing to your next project! 🔹