CEVA SenslinQ Platform Wins Promising New IoT Technology

Integrated hardware IP and software program platform that collects, strategies and hyperlinks statistics from a couple of sensors to allow contextually-aware clever gadgets wins "Promising New IoT Technology"

MOUNTAIN VIEW, Calif.,- CEVA, Inc. (NASDAQ: CEVA), the main licensor of wi-fi connectivity and clever sensing technologies, nowadays introduced that its SenslinQ™ hardware and software program platform for contextually aware IoT units has been awarded "Promising New IoT Technology" at 2020 ASPENCORE's World Electronic Achievement Awards. The award acknowledges CEVA's special and progressive supplying of a licensable hardware and software program platform succesful of collecting, processing and linking facts from a couple of sensors, thereby reducing the entry obstacles for the improvement of context-aware IoT devices.

 

The World Electronics Achievement Awards (WEAA) honor organizations and men and women who have made exceptional contributions to the innovation and the improvement of electronics enterprise worldwide.

"We're proud to win Most Promising New IoT Technology for our SenslinQ platform at the prestigious World Electronic Achievement Awards," stated Erez Bar-Niv, CTO of CEVA. "SenslinQ lowers the entry boundaries for our clients to create context-aware, wise devices, by using permitting them to focal point on the improvement of the consumer functions for these gadgets alternatively than dealing with the intricacies of the sensors and connectivity channels. This platform seamlessly integrates our vast portfolio of wi-fi connectivity and clever sensing technologies, and is an essential element of our method to pressure innovation in intelligent, related devices."

Contextual consciousness is swiftly turning into a obligatory characteristic of many gadgets such as smartphones, laptops, AR/VR headsets, robots, hearables and wearables, pushed with the aid of OEMs and IT agencies searching to add cost and decorate the consumer experience. The SenslinQ platform streamlines the improvement of these gadgets by using centralizing the workloads that require an intimate grasp of the bodily behaviors and anomalies of sensors. It collects facts from a couple of sensors inside a device, together with microphones, radars, Inertial Measurement Units (IMUs), environmental sensors, and Time of Flight (ToF), and conducts front-end sign processing such as noise suppression and filtering on this data. Then, making use of superior algorithms, SenslinQ creates "context enablers" such as pastime classification, voice and sound detection, and presence and proximity detection. These context enablers can then be fused on-device or in any other case despatched wirelessly (Bluetooth, Wi-Fi, NB-IoT) to a nearby side pc or the cloud for figuring out and adapting the gadget to the surroundings in which it operates.