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Intelligent Sensing
Technology

Understanding Wifi Sensing

About Wi-Fi Sensing

Wi-Fi sensing is the detection of motion, presence and activity patterns through disruptions in Wi-Fi signals. Wi-Fi sensing technology measures the extent to which living objects distort the signals or waves emitted from transmitters to receivers.

nami modules collect, process and analyse Channel State Information (CSI) data 30+ times per second to sense activity in the environment.

Wi-Fi Intelligent Sensing

Easy to set up

It has wide coverage — it ‘sees’ through walls and objects with a minimum # of nodes.

It has deep granularity — it can distinguish humans from pets and other minor movements.

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Is interoperable with most existing IoT applications.

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Protects the privacy of occupants as no personal data is collected.

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Enable recurring revenue opportunities for device makers.

Privacy at its core ​

Privacy at its core

nami technology is privacy by design, meaning nami does not collect the personal information of users. It achieves this through: 

  • No indoor cameras, as motion is detected through wifi sensing. There is no need to visually identify intruders
  • No voice recording or storage, as acoustic sensors pick up certain sounds but do not record
  • Superb data management practices, including rigorous encryption protocols, both at nami and with our partners, ensure that data is protected.

How does nami compare to other smart building tech? 

For many years, homes and buildings have been fitted with technology that can sense motion. However, as you can see from the image below, they are no match for nami’s Wi-Fi sensing. 

  • PIR sensors use infra-red technology to recognize movement based on body temperature. While affordable, these sensors can be difficult to deploy, have limited coverage, fail to accurately distinguish humans and pets, and do not integrate well with other tech.
  • Radar is a more costly option for smart buildings.
  • Indoor cameras are a privacy risk due to their personal identification of individuals. They are also ‘line of sight’ only, and therefore vulnerable to blindspots. 
 PIR SensorRadarAI Indoor Camera
Deployment Ease
Coverage
Granularity
Interoperability
Privacy
Cost$$$$$$$$$$

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