Monitor indoor and outdoor air quality with the MQ135 Gas Sensor Module, ideal for detecting CO₂, NH₃, benzene, alcohol, smoke, and harmful gases. It operates at 5V DC, offering both analog and digital outputs, making it compatible with Arduino, Raspberry Pi, and other microcontrollers. Fast response, long life, and adjustable sensitivity make it perfect for IoT, smart environment projects, and pollution control systems.
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.