IP platform streamlines development of context-sensitive IoT devices

sensor network
The SenslinQ hardware IP and software platform aggregates sensor fusion, sound and connectivity technologies to enable contextually aware IoT devices. (Pixabay)

CEVA, Inc., which licenses wireless connectivity and smart sensing technologies, has unveiled SenslinQ, an integrated hardware IP and software platform that aggregates sensor fusion, sound and connectivity technologies to enable contextually aware IoT devices.

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, and Time of Flight (ToF), and conducts front-end signal processing such as noise suppression and filtering on this data.

Applying advanced algorithms, SenslinQ then 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.

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The SenslinQ platform incorporates both the hardware IP and software components required to enable contextually aware IoT devices. The customizable hardware reference design comprises three pillars connected using standard system interfaces. These include: Arm or RISC-V MCU, CEVA-BX DSPs, and Wireless Connectivity Island, such as RivieraWaves Bluetooth, Wi-Fi or Dragonfly NB-IoT platforms, or other connectivity standards provided by the customer or third parties.

The SenslinQ software comprises a large 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 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. 

The platform will be available in the second quarter.

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