CEVA SenslinQ Platform Wins 2020 ASPENCORE World Electronics Achievement Award

MOUNTAIN VIEW, Calif., - November 6, 2020 - CEVA, Inc. (NASDAQ: CEVA), the leading licensor of wireless connectivity and smart sensing technologies, today announced that its SenslinQ™ hardware and software platform for contextually aware IoT devices has been awarded “Promising New IoT Technology” at 2020 ASPENCORE’s World Electronic Achievement Awards. The award recognizes CEVA’s unique and innovative offering of a licensable hardware and software platform capable of collecting, processing and linking data from multiple sensors, thereby lowering the entry barriers for the development of context-aware IoT devices.

The World Electronics Achievement Awards (WEAA) honor companies and individuals who have made outstanding contributions to the innovation and the development of electronics industry worldwide.

“We’re proud to win Most Promising New IoT Technology for our SenslinQ platform at the prestigious World Electronic Achievement Awards,” said Erez Bar-Niv, CTO of CEVA. “SenslinQ lowers the entry barriers for our customers to create context-aware, intelligent devices, by allowing them to focus on the development of the user applications for these devices rather than dealing with the intricacies of the sensors and connectivity channels. This platform seamlessly integrates our broad portfolio of wireless connectivity and smart sensing technologies, and is an important component of our strategy to drive innovation in intelligent, connected devices.”

Contextual awareness is rapidly becoming a mandatory feature of many devices such as smartphones, laptops, AR/VR headsets, robots, hearables and wearables, driven by OEMs and IT companies looking to add value and enhance the user experience. The SenslinQ platform streamlines the development of these 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, applying advanced algorithms, SenslinQ creates “context enablers” such as 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. For more information on SenslinQ, visit https://www.ceva-dsp.com/product/ceva-senslinq/.