GP2Y1010AU0F High-Sensitivity Optical Dust and Smoke Particle Sensor Module
Monitor indoor air clarity efficiently using the GP2Y1010AU0F Optical Dust Sensor Module. Engineered with an internal infrared emitting diode (IRED) and a diagonally aligned phototransistor, this compact sensor utilizes light-reflective technology to detect airborne particulates, including very fine dust and cigarette smoke. Offering a low-power design with an analog voltage output directly proportional to dust density, it is the perfect cost-effective solution for residential air purifiers, automated ventilation fans, robotics clean-room vacuums, and environmental monitoring projects.
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Detailed Description
The GP2Y1010AU0F Optical Dust and Smoke Sensor Module is an efficient and reliable option for analyzing air quality inside home appliances and custom electronic enclosures. Developed utilizing Sharp's specialized optical design, this module relies on infrared light reflection technology to track suspended particulate matter, such as house dust, pollen, and fine tobacco smoke. It acts as a dependable alert framework for automated environments, stepping in to optimize room airflow loops well before airborne particles present a comfort hazard.
The module contains an internal chamber with an infrared emitting diode (IRED) and a highly responsive phototransistor positioned diagonally relative to each other. When clean air fills the chamber, the infrared light travels straight across and misses the receiver. However, when dust or smoke particles drift through the central air passage, they scatter the infrared beam. The phototransistor detects this scattered light flash and outputs an analytical voltage curve directly proportional to the density of the airborne particulate matter. Because it evaluates individual pulse signals quickly, your system can interpret specific data waves to distinguish between heavy household dust particles and fine, uniform smoke clouds.
Key Features and Benefits
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Highly Responsive Optical Core: Utilizes an integrated infrared emitting diode (IRED) and phototransistor layout to deliver real-time particle feedback.
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Effective Fine Particle Detection: Exceptionally sensitive to very fine floating particles, making it ideal for detecting cigarette smoke and fine ash.
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Low Continuous Power Consumption: Draws a minimal maximum current of just 20mA (11mA typical), making it suitable for battery-backed systems and continuous monitoring grids.
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Linear Analog Voltage Interface: Outputs a direct analog signal with a standard sensitivity of 0.5V per 0.1 mg/m³, simplifying calibration and reading setup.
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Compact, Lightweight Profile: The low-profile casing fits easily into small spaces, including custom handheld meters and wall-mounted thermostats.
Technical Specifications
| Feature Component | Specification Details |
| Core Sensor Engine | GP2Y1010AU0F (Sharp Optical Architecture) |
| Detection Target Scope | Floating Dust Particles, Cigarette Smoke, Pollen Spores |
| Minimum Resolution Limit | Particles down to 0.8 μm (Microns) |
| Sensor Output Profile | Logarithmic Analog Voltage (0.9V baseline to ≈ 3.5V) |
| Sensor Sensitivity Constant | 0.5V shift per 0.1 mg/m^3 change in density |
| Operating Voltage Window | 4.5V to 5.5V DC (5.0V Typical recommended) |
| Peak Operating Current | ≤ 20 mA (Averages ≈ 11 mA across standard run states) |
| Clean Air Baseline Voltage | 0.9V typical calibration constant |
| Environmental Operations | Temperature: -10°C to +65°C | Storage: -20°C to +80°C |
How to Configure & Wire
6-Pin Wire Assembly Interface Mapping:
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Pin 1 (V-LED): Connects to the 5V power line through a series 150 Ω resistor (included in the kit) to handle the pulsed infrared LED load.
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Pin 2 (LED-GND): Connects to the system ground.
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Pin 3 (LED): Drive control pin. Connects to a digital output pin on the microcontroller to pulse the internal infrared emitter.
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Pin 4 (S-GND): Main sensor signal ground line.
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Pin 5 (Vo): Analog Voltage Output pin. Connects to any microcontroller analog input (e.g., Arduino A0).
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Pin 6 (Vcc): Main circuit power supply input (+5V DC).
Pulse-Driven Prototyping Assembly Steps:
To get stable readings from the GP2Y1010AU0F, the internal infrared LED must be driven using specific pulse patterns to prevent overheating the core chamber.
[Wiring diagram snippet: 150 Ohm resistor between VCC and Pin 1; 220uF capacitor between Pin 1 and GND]
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Connect Vcc to 5V and S-GND / LED-GND to your system ground.
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Wire the external 150 Ω resistor between the 5V supply and Pin 1 (V-LED). Connect the 220 μF electrolytic capacitor between Pin 1 and ground to smooth out the current spikes when the LED pulses.
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In your microcontroller sketch, use the following timing sequence to pulse the LED pin: turn the LED pin HIGH, wait 0.28 milliseconds (280 μs), read the analog voltage on your ADC pin, wait another 0.04 milliseconds (40 μs), and then turn the LED pin LOW.
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Allow the cycle to sleep for 9.68 milliseconds before triggering the next sample loop to maintain the required 10ms overall sampling rhythm.
Applications
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Domestic Air Purifier Triggers: Monitors air quality changes in real-time, allowing systems to automatically increase fan speeds when dust or smoke levels rise.
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Automated Kitchen Exhaust Controls: Detects smoke and airborne particles from cooking, activating exhaust fans immediately without needing manual input.
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Smart Robotic Vacuum Sensors: Fits easily onto the undercarriage of smart robotic vacuums to help them identify high-dust zones that require deep cleaning.
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DIY Air Quality Monitors: Functions as a cost-effective, responsive core module for building custom desktop or workshop air monitoring systems.
Package Includes
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1 x PM2.5 GP2Y1010AU0F Optical Dust Smoke Particle Sensor Core
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1 x Matching 6-Pin Connector Wire Harness Jumper Cable
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1 x 150 Ω 0.25W Carbon Film Resistor
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1 x 220 μF Electrolytic Stabilization Capacitor
Shipping & Delivery
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Free shipping on orders above ₹999 across India
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Dispatched within 1-3 business days
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Expected delivery: 3-7 business days depending on location
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Secure packaging to ensure safe transit of electronic components
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