Cason Digital Air Quality Monitor for Home with App, AQI Meter with Real-Time PM2.5 Sensor, Temperature & Humidity Display, Indoor Air Quality Meter, Pollution Measuring Device

About this item

• MULTIFUNCTIONAL AIR QUALITY MONITORS: Cason’s upgraded air quality detector can be used for monitoring HCHO, TVOC, PM2.5, PM1.0, PM10, temperature and humidity. Suitable for home, office, car and other sealed space, so you can measure the air quality anytime which gives you more sense of security. This air quality monitor is equipped with 2.8 inches HD color screen, light and small you can carry it to anywhere you want.
• EASY TO OPERATE & READ: Just slide the power ON/OFF button, the air quality monitor will automatically detect various indicators in the air, when the air is fresh, the screen will show Smiley and green color, no need to learn all the index, you can easily tell whether the air quality is good. Place the air quality monitor in a confined space, free from external environmental interference, easier to find the source of pollution.
• Bluetooth And App Connection: With Bluetooth and app connectivity, users can easily monitor and control the air quality detector from their mobile devices, enhancing convenience and accessibility
• ACCURATE DATA: This air quality monitor comes 32 bit ARM high-performance computing chip, electrochemical formaldehyde sensor, laser PM2.5 sensor, temperature sensor, humidity sensor, TVOC sensor and air convection system, ensure the data is accurate and effective. Using temperature difference compensation calibration technology, real-time data can be calibrated, through AD intelligent calculation, also greatly improving the detection accuracy.
• 24 HOURS REAL TIME DATA MONITORING: Real-time data monitoring, and the fluctuation of the data can shows the quality of environment, convenient to use. The content of HCHO, TVOC are various through time, the recording tool can help you record data in period time, there is no need to record data by yoursele, you can judge the quality of environment based on the fluctuation of the data

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