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CEVA Debuts Platform for Development of Contextually Aware IoT Devices

By Ken Briodagh January 06, 2020

CEVA, a licensor of wireless connectivity and smart sensing technologies, has unveiled SenslinQ, its first integrated hardware IP and software platform designed to aggregate sensor fusion, sound, and connectivity technologies to enable contextually aware IoT devices. The announcement was made at The Consumer Electronics Show (CES) in Las Vegas.  

The SenslinQ platform reportedly streamlines the development of aware devices by centralizing the workloads that require an intimate understanding of the physical behaviors and anomalies of sensors. It collects data from multiple sensors within a device, including microphones, radars, Inertial Measurement Units (IMUs), environmental sensors, and Time of Flight (ToF), and conducts front-end signal processing such as noise suppression and filtering on this data. Then, according to the company, by applying advanced algorithms SenslinQ creates “context enablers” like activity classification, voice and sound detection, and presence and proximity detection. These context enablers can then be fused on-device or otherwise sent wirelessly (Bluetooth, Wi-Fi, NB-IoT) to a local edge computer or the cloud for determining and adapting the device to the environment in which it operates.

“Contextual awareness, which fuses motion, sound, environmental and other sensor-created data, provides the opportunity to capitalize on our technology excellence,” said Erez Bar-Niv, CTO, CEVA. “SenslinQ frees up our customers from having to understand the physical behavior of sensors and the connectivity channels, allowing them to focus on the applications and advanced services possible with a context-aware device.”

SenslinQ will be available in Q2 2020.


Ken Briodagh is a storyteller, writer and editor with about two decades of experience under his belt. He is in love with technology and if he had his druthers would beta test everything from shoe phones to flying cars.

Edited by Ken Briodagh
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