Distance, speed, angle full detection millimeter wave sensor gives you a unique automatic door

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Distance, speed, angle full detection millimeter wave sensor gives you a unique automatic door [Copy link]

Architects and urban planners of smart buildings, factories, and cities need increasingly intelligent sensors to solve resource conservation challenges , address increasing safety concerns by improving security , and provide more fluid human-machine interactions.

Specifically , through personnel location detection and movement tracking, various systems will be able to operate autonomously in a smarter future world . As shown in the figure above , these systems may include indoor / outdoor security and monitoring , automatic doors , factory machinery safety scanners , and automation equipment for controlling lighting, heating, ventilation and air conditioning (HVAC) , and elevators .

TI's unique mmWave sensor

mmWave is a sensing solution that is poised to revolutionize the way people are detected, located and tracked in these systems . TI 's mmWave sensors are unique because they can detect the distance, speed and angle of objects in a variety of environments while providing on-chip processing capabilities for advanced algorithms .

Used in occupancy and motion sensors in building, factory and city automation, these features reduce false detections, provide highly accurate location and direction of travel data, and maintain privacy , all on a single chip for local processing .

Introduction to millimeter wave technology

TI ’s mmWave technology and IWR family of sensor devices offer a number of key features that translate into real advantages in building automation applications , including reduced false detections .

Millimeter wave distance and angle information provides precise location information. When someone enters a red " no-go " zone , a red . This information can be used to trigger building automation systems .

mmWave is the only sensing technology that can provide three data sets: distance , speed, and angle . It is through this combination of data that mmWave sensors can accurately determine the location of a person and the direction of travel. The figure above shows how these data sets can be used to activate the system when someone enters a specific area . Speed data allows mmWave sensors to ignore stationary objects in Becausethe environment people will move , mmWave technology can detect even small movements such as boredom or breathing .

With speed information and onboard tracking, TI ’s mmWave sensors can determine direction of travel. Note the tracking tails of the blue and red dots, which indicate the direction a person is traveling in the hallway. This capability can infer where a person is going and if they are moving toward a specific target area.

The figure above shows how velocity data can be used to infer a person's direction and speed. TI 's mmWave sensors also enable advanced algorithms that support functions such as tracking a person's movement history , triggering systems based on location or direction of travel , or classifying objects based on size and motion .

Embedded processing on the sensor means TI ’s mmWave sensors can perform all operations on a single chip , eliminating the need for an external processor .

Building automation systems can reduce false detections by leveraging TI mmWave sensors ’ unique data sets and on-chip processing capabilities .

There are many static objects in a conference room that can cause false detections with traditional sensors. The static interference cancellation algorithm on TI mmWave sensors can ignore static objects such as tables, chairs, and reflections on the wall shown by the arrowsred ) .

mmWave sensors can detect very subtle motion (such as when people are typing, talking , or breathing ) while to prevent false occupancy denials. Static objects can also cause false detections depending on their size and shape ; the figure above shows how mmWave technology uses an algorithm called static interference cancellation to ignore these static objects .

mmWave sensors transmit and receive RF signals and are inherently very resilient to environmental influences that can be a common cause of false detections. They can accurately sense across a wide range of ambient lighting, temperature, humidity, and airflow conditions , and can even continue sensing in the presence of precipitation . This makes them ideal for indoor or outdoor applications that require constant sensing across a wide range of environmental conditions . Additionally, this adaptability means that mmWave sensors can handle environmental criticalities such as shadows or weather without any complex software .

In privacy -critical applications , such as bathrooms, locker rooms, or gyms, people may be sensitive to the use of cameras and other optical solutions . The use of RF signals by mmWave sensors means that these sensors do not provide any personally identifiable information. The sensor signals can also penetrate different types of materials such as drywall, plywood, and plastic, allowing users to choose unique installation locations, including hiding behind systemwalls damage or maintain a clean industrial design .

Automatic door reference design using TI mmWave sensors

TI 's mmWave sensors enable innovation in building processingautomation . mmWave sensors provide added value by enabling sensing in challenging environments such as strong sunlight, darkness, through walls and rain . These features make mmWave technology a proven sensing choice and help solve today's three challenges of false detection , privacy and solution complexity , enabling the next generation of building automation sensors with intelligence and local decision-making capabilities .

Click here to view the automatic door reference design using TI mmWave sensors to achieve a solution with the above advantages.

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