Haljia RCWL 0516 Microwave Radar Motion Sensor Module Human Body Induction Switch Module for Arduino High Sensitivity Long Gear Relief, Wide Angle for Sensing Moving Objects to Recognise
Haljia RCWL 0516 Microwave Radar Motion Sensor Module Human Body Induction Switch Module for Arduino High Sensitivity Long Gear Relief, Wide Angle for Sensing Moving Objects to Recognise
Using the Doppler radar technology controls the motion of the lid for, this is a microwave sensor module designed specifically for detecting and moving items human body. The module has many advantages such as high sensitivity, long range, wide detection angle, high reliability, wide range of operating voltage. Widely used in human body sensing lighting system, theft alarm system. Features: – Operating voltage: 4 – 28 Vdc/Operating Current: less than 3 mA – Output Voltage: 3.3 V (of 3 V3 PIN) – Output current: 100mA max. , detection range: less than 120 ° taper angle within 7 m – Trigger Mode: Repeat Trigger – Delay time: 2 seconds (you can use the default setting), by soldering in various capacities C 1/TM pads es, active ingredients: (if you would like a a indispensable object) - Output interface: 3 V3 (3.3 V power supply output), GND (base), (Output signal), Vin (Power Input), CD (sensor can be switched off during the day by soldering an external photo resistance to ground). Only need to GND/off/VIN in general applications. – Applications: Automatic lighting, smart home based DIY projects Box Contents: 1 x Microwave Radar Motion Sensor Module
Product Features
- , using Doppler radar technology, this is a microwave sensor module designed for presence of moving objects and human body.
- The module has many advantages such as high sensitivity, long range, wide detection angle, high reliability, wide range of operating voltage.
- Widely used in human body sensing lighting system, Anti Theft Alarm System.
- Transmission signal processing control chip Rcwl 9196, Operating voltage range: 4.0 28.0 V
- Compared with the traditional infrared Gefuhl PIR, with the penetrating detection function