SOCIONEXT MN87900 IS A SINGLE-CHIP 24 GHZ RADIO WAVE SENSOR FOR THE INTERNET OF THINGS
The Socionext MN87900 from Socionext is a powerful and low-power single-chip microwave sensor at 24GHz with sophisticated sensing capabilities like motion detection, speed and direction detection and so many, that can quickly find applications in the Internet of Things sensing applications.
Unlike PIR sensors like the popular HR-SR501 that can detect motion to about 3 meters at about 120 angles and based on the concept of detecting infrared energy emitted by an object while attempting to determine if it’s a motion or not, the Socionext MN87900 is a microwave sensor that sends out microwave signals and detects the bounce back signals to decide if it’s a motion or not. Microwave sensor uses what we call the Doppler’s Effectconcept.
SocioNext MN87900 is a 24 GHz and very tiny, measures about 12mm x 7mm x 1mm making it ideal for the small size requirement in the most Internet of Things application and other applications in the areas of smart-home, automotive or driver assistance systems, medical applications, and many more. Based on a single-chip radio frequency IC (RFIC) that offers a multi-mode sensing capability for detecting stationary or moving objects and measuring the distance and direction of movement, including whether an object is approaching or leaving. This multi-mode sensor capability gives the device ability to re-adapt its functionality to different case scenario without making any single hardware changes.
The RFIC can be used to sense very slow movements (like breathing and heartbeats), and even detect the movement of multiple objects within a 160-degree radius to a distance of about 8 meters away. With slight modification, the RFIC can reach a range of up to 30 meters.
Apart from having powerful sensing capabilities, it is also power friendly. During continuous operation, the sensor can take up to 500mW, but this can be reduced to an intermittent operation where for example, during a one-sixth burst, the sensor can take about 80mW, a very drastic reduction in power. The MN87900 can pass through fabric or resin like materials, and unlike camera-based people detecting applications, the MN87900 doesn’t need to capture or display images to identify people or objects which is handy for privacy-concerned applications.