Sensing Q supports context awareness of IoT devices
Integrated hardware IP and software platform


Context awareness technology is establishing itself as an essential feature of devices such as smartphones, laptops, AR/VR headsets, robots, hearables, and wearables.

CEVA announced on the 14th that it is launching 'SenslinQ,' an integrated hardware IP and software platform that enables IoT devices to recognize their context.

Sensling Q collects data from various sensors within the device, such as microphones, radar, Inertial Measurement Units (IMUs), and Time of Flight (ToF), and performs front-end signal processing, such as noise suppression and filtering of the collected data.

Next, advanced algorithms are applied to generate 'Context Enablers' such as activity classification, voice and sound detection, and object presence and proximity detection. The context enabler can be combined on-device or transmitted wirelessly (Bluetooth, Wi-Fi, NB-IoT) to a local edge computer or the cloud to determine and adjust the device to the operating environment.

The Sensling Q platform integrates all the hardware IP and software components necessary to enable context-aware IoT devices. The customizable hardware reference design is configured along three axes: Arm or RISC-V MCUs connected via standard system interfaces, CEVA-BX DSPs, and Wireless Connectivity Islands such as RivieraWaves Bluetooth, Wi-Fi, or Dragonfly NB-IoT platforms, or other connectivity standards provided by customers or third parties.

Sensling Q software consists of an extensive portfolio of software libraries available for immediate use from CEVA and its ecosystem partners. These include ▲ Hillcrest Labs’ MotionEngine software package for sensor fusion and activity classification for mobile, wearable, hearable, and robots ▲ ClearVox front-end voice processing, WhisPro voice recognition, and comprehensive DSP and AI libraries ▲ and a wide range of third-party software components for Active Noise Cancellation (ANC), sound detection, 3D audio, etc.

The Sensling Q platform includes the Sensling Q framework, Linux-based Hardware Abstraction Layer (HAL) reference code, and APIs for data and control exchange between multiple processors and various sensors.

“Sensling Q allows customers to focus on applications and advanced services that support context-aware devices without having to understand the physical behavior of sensors and connectivity channels,” said CEVA CTO Erez Bar-Niv.

Sensing Q is scheduled to be released in the second quarter of 2020.