Millimeter- Wave
Radio-based passive object sensing is a rapidly developing technology that detects the motion of human body parts or associated objects through wireless signals. Compared with conventional vision- based approaches, it is less intrusive and unaffected by ambient light conditions or the sunlight interference.
mmWave sensors transmit signals with a wavelength which is in the millimeter (mm) range. This is considered a short wavelength in the electromagnetic spectrum and is one of the advantages of this technology. Indeed, the size of system components such as antenna required to process mmWave signals is small. Another advantage of short wavelengths is the high resolution.
mmWave sensors use radio frequency (RF) sensing rather than light or sound, which offers unique advantages because the sensors can detect people and objects through a variety of materials such as glass and drywall. These sensors can also operate even when environmental factors such as smoke, rain and low-light conditions are present.
mm-Wave Radars
High-resolution, low- power, miniature gesture sensing technology for interactive computer graphics based on millimeter-wave radar. These radar chips are devices with no moving parts, both antenna and receiver embedded in one chip, and can be manufactured inexpensively at scale. Several different chips, suitable for different tasks are available. They are designed to be easily integrated into a wide variety of consumer electronics devices.
Using these chips in tandem with ML, effective solutions for variety of tasks can be developed. One of many use case scenarios would be, use of mmWave radars in security. These miniature mmWave radars are thumbnail size and can easily be embedded into objects around the living or working space. They detects movements, sense and measure the space, and with the help of ML can be used to recognize objects. For example using these chips, you can with high accuracy recognize a glass, also the content of that glass, milk, water or any other liquid.
Because these radars can detect sub-millimetre movement, they can detect and measure breathing rhythm. It can effectively be used in healthcare to monitor the vital signs of a patient. This is not camera, this is radar and not intrusive, could be installed in senior houses to monitor vital signs of elderlies in their room without invading their privacy.
Combining traditional sensor functions with AI & ML
A vast number of sensors and sensor technologies exist today, the most common being infrared (IR), capacitive, ultrasonic, and microwaves. Due to the strengths and weaknesses of different technologies, sensors are typically designed for only one task, such as detecting presence, motion, speed or distance. This is typically at one defined range or at very short range, or only on moving or static objects, and so forth.
In applications where you want to combine features from several sensor technologies or hide your sensor due to security or design constraints, your options are limited. This is why we need to combine new technologies with existing capabilities.
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