The MQ3 Alcohol/Ethanol Gas Sensor is a high-sensitivity semiconductor sensor designed to detect alcohol vapors in the air. It delivers analog and digital outputs, making it ideal for breath analyzers, alcohol detectors, and Arduino-based monitoring systems.
Input voltage: DC5V
Power consumption (current) : 150 mA
DO output: TTL digital 1 and 0 (0.1 and 5 V)
AO output: 0.1-0.3 V (pollution-free)
Highest concentration of voltage: Approx 4 V
Detection range of alcohol: detection range of 10 ~ 1000 PPM
The MQ4 Gas Sensor Module is a high-sensitivity methane (CNG) detector designed for reliable detection of combustible gases. Operating at 5V DC, this sensor features analog and digital outputs, making it easy to integrate with Arduino, Raspberry Pi, and other microcontroller platforms. Its fast response time, adjustable sensitivity, and compact size make it ideal for smart gas leakage detection, industrial monitoring, and IoT automation projects.
The MQ5 Gas Sensor Module is a powerful and reliable sensor that detects Methane (CH4), LPG, and Propane gases in the air. It operates at 5V DC and features both analog and digital outputs, making it ideal for Arduino, Raspberry Pi, and other microcontrollers. With adjustable sensitivity, quick response, and strong anti-interference, it’s perfect for home safety, industrial automation, and IoT-based gas monitoring systems.
Detect hydrogen gas leaks with the high-performance MQ8 Gas Sensor Module, compatible with Arduino, Raspberry Pi, and ESP32. It operates at 5V DC, offering both analog and digital outputs for flexible integration into smart safety systems, IoT devices, and gas monitoring solutions. Ideal for STEM projects, industrial automation, and hydrogen-powered applications.
Detect CO, Methane, and LPG efficiently with the MQ9 Gas Sensor Module, ideal for Arduino, ESP32, and other microcontroller platforms. Operating at 5V DC, it features both analog and digital outputs, allowing quick integration into smart home, industrial safety, and gas leak detection systems. Offers high sensitivity, adjustable threshold, and reliable performance for IoT and embedded projects.
Compact MT3608 step-up (boost) converter with 2 V–24 V input and adjustable up to 28 V output, delivering 2 A peak current. High-efficiency power supply for Arduino, Raspberry Pi, LED strips, IoT, and portable electronics.
The Multifunctional Landing Skid Kit for DJI F450/F550 offers durable, stable support for your drone during take-off and landing. Made from lightweight ABS plastic and aluminum alloy, this kit improves ground clearance, protects drone sensors and camera gimbals, and provides additional mounting options for FPV, GPS, or LED gear. Ideal for hobbyists upgrading DJI F450/F550 frames.
Muscle Sensor Module for Arduino detects electrical activity of muscles (EMG signals) and outputs a clean, amplified analog signal for robotics, prosthetics, gaming, and wearable IoT applications.