Devices use pulsed radar to detect reliability to detect human presence and save energy in automation and consumer electronics
NOVELDA AS, developer of accurate and reliable sensors for human presence, has launched the latest Ultra Wide Band (UWB) sensors for smart home and building automation that can accurately sense human presence and movement providing precise, touchless interaction with everyday products including laptops, refrigerators and smart lights. .
The NOVELDA UWB Sensor works by detecting small movements made during breathing to perceive human presence. It is so sensitive that human presence can be detected even if people are lying under a duvet or wearing several layers of clothing.
Measuring just 12 mm x 12 mm, including the antennas, the NOVELDA broadband sensor is the smallest and most accurate of all pulse radar sensors. It can be completely hidden in the device and can run through glass, plastic or wood.
“This next generation of human sensors designed for smart homes and smart building automation will make environments more context-aware to improve interactive experiences, reduce the cost of operating a device when no one is around, extend screen life by preventing unnecessary backlighting, and reduce Novelda CEO: “Total energy consumption.”
He added, “Our sensors have been evaluated in challenging real-world conditions and have demonstrated robust performance championships better than other similar solutions. UWB will lead the next revolution in wireless technology and we believe it will be used as widely as Bluetooth.”
Multiple use cases for the NOVELDA Ultra-Wideband Sensor include touchless displays, lighting and air conditioning control and wireless health monitors. NOVELDA UWB is used by customers around the world in smart homes, building automation and leading consumer electronics.
Examples include Lenovo, which uses the NOVELDA Ultra-Wideband sensor in its premium laptops. In computers, the sensor enables features such as automatic wake-up and automatic locking to increase security and extend battery life, as HVAC room sensors save significant power. Other customers use UWB sensors to detect vital signs in sleep monitors.
Ultra-wideband provides high-resolution, low-power, powerful and secure wireless technology for sensing, positioning, movement and distance. UWB technology, especially in challenging environments, outperforms other technologies such as Passive InfraRed or time-of-flight sensors in terms of accuracy, durability, and safety.
Ideally suited to the bandwidth, cost, power consumption and physical size requirements of the next generation of consumer electronics and smart home appliances, UWB wireless sensors can operate in close proximity to other radios without interference.
NOVELDA radar technology is a leading radar system with market-leading reliability in terms of functionality, energy use and size in line with global standards. NOVELDA UWB X4F103 Sensor Demo Kits are available upon request for select customers.
- Customizable sensitivity settings to detect a person walking, standing still, hand gestures or motion sensing and the ability to detect minute movements such as breathing for human presence/motion
- High precision range for precise distance measurement and absolute range limits based on patented pulse radar technology
- Low power consumption of less than 2MW, no coexistence problems with other sensors
- Wide detection area for accurate detection with a field of view of up to 180 degrees; Zone control can be configured up to 5 meters depending on the use case
- No influence on product design; The 12mm x 12mm sensor can be hidden in a product and tracks the sensor precisely through plastic, glass or layers of clothing
“The True Presence is a game-changing sensor that will usher in a new era in building intelligence and energy efficiency,” said Thomas Muller, Steinel General Manager. “As a result, we have been able to help our hotel customers improve energy efficiency and reduce costs in HVAC by 12%.”
NOVELDA was recently awarded the 2021 “Best Sensors” award in the Artificial Intelligence and Machine Learning category.