Overview

SenslinQ™ is a unique hardware and software platform for linking various sensor processing elements and present them to the Host processor OS or user application.
The SenslinQ platform aggregates Sensor Fusion, Voice and Connectivity technologies to enable contextually aware IoT devices.
By simplifying algorithm connectivity, SenslinQ enables context aware software modules from CEVA or 3rd parties to be activated through the SenslinQ framework running on a Host CPU.
The SenslinQ framework is a Linux-based Hardware Abstraction Layer (HAL) reference code and APIs for data and control exchange between the multiple processors and the various sensors, and allows the Host CPU to activate multiple cores to get processed data for use by the user application.

 

Benefits

Integrated hardware and software platform that aggregates sensing technologies to enable contextually aware IoT devices

Preconfigured stack for linking Host CPU, DSP, and Wireless connectivity
Supplied with a complete HAL, APIs, link layers, and messaging protocols
Software libraries available from CEVA for Sensor Fusion, Voice processing, Speech recognition, and Wireless RF

Main Features

  • SenslinQ offers a customizable hardware architecture that is composed of three pillars connected using standard system busses and interfaces:
  • The SenslinQ software is comprised of 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
  • Using the SenslinQ framework, a customer application can seamlessly activate and receive indications from the MCU running sensor fusion tasks, or the CEVA-BX DSP running sound processing tasks, without prior knowledge of either processor architecture or SenslinQ libraries

Block Diagrams