Hardware and software platform for contextually aware IoT devices
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.
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Block Diagram of the Hardware and software platform for contextually aware IoT devices

voice processing IP
- Front-end voice processing software package providing enhanced speech intelligibility for voice-enabled devices
- DSP-enhanced ARC EMxD and HS4xD processors provide combined RISC + DSP processing for computation intensive applications
- Neural network-based speech recognition technology for voice assistants and IoT devices
- Multifunctional DSP Architecture for High-Performance, Low-Power Audio/Voice/Sensing and Wireless Communication Applications
- Modern Audio DSP, designed for battery operated, high-performance, audio and voice applications
- ITU-T G729A Voice Codec Hardware Accelerator