Gravity: Arduino Digital Microwave Sensor (Motion Detection)

The Gravity Arduino Digital Microwave Sensor uses the Doppler effect to detect moving objects with microwaves. Unlike regular infrared sensors, it's sensitive to microwave - reflective objects and isn't affected by ambient temperature. This sensor is perfect for industrial, transportation, and civil uses like measuring vehicle speed, liquid levels, and automatic door motion detection. Its detection method offers many advantages, such as non - contact detection, immunity to environmental factors like temperature and humidity, strong resistance to radio frequency interference, low output that's safe for humans, a wide detection range, high velocity, and the ability to detect non - living objects. It can work with other sensors to improve measurement accuracy, reducing false reports in human motion detection and excelling in safety and security. The sensor operates at a working voltage of 5V + 0.25V, with a maximum working current (CW) of 60mA (37mA typical). It has a Gravity 3 - Pin digital interface and measures 48.5x63mm. The emission parameters include a continuously adjustable detection distance of 2 - 16M, an emission frequency of 10.525 GHz, and more. The reception parameters have a sensitivity of 3Hz to 80Hz (10dB S/N ratio) and other specifications. It comes with a wiki and related documents, and the shipping list includes one microwave sensor and one digital sensor cable.

Using this Gravity Arduino Digital Microwave Sensor is quite simple. First, connect it to your Arduino board using the provided digital sensor cable through the Gravity 3 - Pin interface. Make sure the working voltage is set to 5V + 0.25V. You can adjust the detection distance according to your needs, which ranges from 2 to 16 meters. When using it, keep in mind that it can be used in harsh environments as it's not affected by temperature, humidity, noise, etc. But try to keep it away from strong radio frequency sources to avoid interference. For maintenance, just keep it clean and dry. If you encounter any issues, refer to the provided wiki or related documents for help.