Press release
CEVA SenslinQ Platform Wins 2020 ASPENCORE World Electronics Achievement Award
Integrated hardware IP and software platform that collects, processes and links data from multiple sensors to enable contextually-aware intelligent devices
About this update from Ceva, Inc.
[{"type":"text","content":"Integrated hardware IP and software platform that collects, processes and links data from multiple sensors to enable contextually-aware intelligent devices wins \"Promising New IoT Technology\"\n\n\nMOUNTAIN VIEW, Calif., Nov. 6, 2020 /PRNewswire/ -- 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.\nThe World Electronics Achievement Awards (WEAA) honor companies and individuals who have made outstanding contributions to the innovation and the development of electronics industry worldwide.\n\"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.\"\nContextual 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 ...