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RF Capture Technology Basics: How It Works

rf capture signal processing sensing technology wireless technology rf technology

This article explains the basics of RF capture technology, including its features, and how it works. We are familiar with various image processing techniques for humans, such as X-ray, visible light, terahertz, and millimeter-wave imaging.

RF capture technology operates at much lower power levels compared to these established techniques. Moreover, it utilizes a lower RF carrier frequency, typically between 5.46 GHz and 7.24 GHz. Sensors are a core component of the RF capture system.

The following table outlines key features of RF capture technology:

SpecificationsRF Capture technology
Transmit Power1/1000 of WiFi signal power
Frequency RangeBetween 5.46GHz and 7.24GHz
Method of detectionReflection from some of the parts of human body
Coverage RangeLess than 100 meters
AccuracyVaries based on identification type (body parts, movement, number of people) and distance from the system.
ApplicationsTo determine person behind walls, determine handwriting of person from behind wall, movement of person etc.

How RF Capture Works

RF capture technology

Here’s a breakdown of the steps involved in how RF capture works:

  • The system, positioned behind a wall, transmits an RF signal that penetrates the wall but reflects off different parts of the human body.
  • These multiple reflections are captured at various points in time.
  • Based on these recorded snapshots and using a reconstruction algorithm, the RF capture system develops a human sketch, as illustrated in the figure.

The following capabilities are inherent to RF capture technology:

  • Limb Position Estimation: RF capture technology estimates the positions of different limbs of the human body, such as the head, chest, arms, and feet.
  • Posture Estimation: The system estimates different postures of the human being.
  • Snapshot Generation: The RF capture system generates distinct snapshots for different types of individuals.
  • Movement Detection: It can also determine the movement of human beings.

REFERENCE: This article is based on research conducted at the Massachusetts Institute of Technology. For more detailed information, please read their published paper.