CEVA Debuts SenslinQ Platform to Streamline Development of Contextually Aware IoT Devices

By Perry Cohen

Associate Editor

Embedded Computing Design

January 06, 2020


CEVA, a licensor of wireless connectivity and smart sensing technologies, released SenslinQ, the companies first integrated hardware IP and software platform.

CEVA, a licensor of wireless connectivity and smart sensing technologies, released SenslinQ, the companies first integrated hardware IP and software platform that aggregates sensor fusion, sound, and connectivity technologies to enable contextually aware IoT devices.

Contextual awareness is rapidly becoming a mandatory feature of many devices such as smartphones, laptops, AR/VR headsets, robots, hearables, and wearables. The SenslinQ platform streamlines the development of these devices by centralizing the workloads that require an 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, andTime of Flight (ToF). It conducts front-end signal processing such as noise suppression and filtering on this data.

After 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.

The SenslinQ platform incorporates both the hardware IP and software components required to enable contextually aware IoT devices. The customizable hardware reference design is composed of three pillars connected using standard system interfaces including Arm or RISC-V MCU, CEVA-BX DSPs, and wireless connectivity islands.

The software is comprised of a portfolio of ready-to-use software libraries from CEVA and its ecosystem partners, which includes:

  • Hillcrest Labs MotionEngine software packages for sensor fusion and activity classification in mobile, wearables, hearables, robots and more  
  • ClearVox front-end voice processing, WhisPro speech recognition, and comprehensive DSP and AI libraries
  • Extensive 3rd party software components for Active Noise Cancellation (ANC), sound sensing, 3D audio and more

The SenslinQ platform is accompanied by the SenslinQ framework, a Linux-based Hardware Abstraction Layer (HAL) reference code and APIs for data and control exchange between the multiple processors and the various sensors.

For more information, visit https://www.ceva-dsp.com/product/ceva-senslinq

Perry Cohen, associate editor for Embedded Computing Design, is responsible for web content editing and creation, podcast production, and social media efforts. Perry has been published on both local and national news platforms including KTAR.com (Phoenix), ArizonaSports.com (Phoenix), AZFamily.com, Cronkite News, and MLB/MiLB among others. Perry received a BA in Journalism from the Walter Cronkite School of Journalism and Mass Communications at Arizona State university.

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