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Reality AI combines machine learning with advanced signal processing mathematics to deliver Edge AI / TinyML capable of powerful non-visual sensing, plus a suite of analytics to optimize your hardware design and bill-of-materials. For the professional engineer developing products or operations technology.

Solution Briefs

  • Reality AI Tools(R) software for engineers building products with sensors
    Reality AI Tools(R) software for engineers building products with sensors

    Reality AI Tools allows engineers to generate and build TinyML / Edge AI models based on advanced signal processing.

    It also contains analytics to find the best sensor or combination of sensors, the best locations for sensor placement, and automatic generation of component specs.

    With fully explainable model function in terms of time/frequency domains, and optimized code for Cortex M, A and R implementations.

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  • Cars can See Around Corners with Sound using Reality AI
    Cars can See Around Corners with Sound using Reality AI

    Automotive SWS(tm) from Reality AI is for ADAS and collision avoidance systems on vehicles that need to detect road participants that are obstructed from view or still too distant to see.

    Using an array of MEMS microphones around the exterior of the vehicle, Automotive SWS will detect emergency vehicles, cars/trucks/motorbikes, and even bicycles or joggers.

    It will also provide localization, including where to look to see a target coming. Automotive SWS is a full machine learning solution with reference designs for hardware and implementation, developed in cooperation with our automotive-sector partners.

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Insights

  • Building Products using EdgeAI/TinyML on ARM MCUs Arm Tech Talk
    Building Products using EdgeAI/TinyML on ARM MCUs

    See a full AI-enabled product development lifecycle, from HW design to ML model deployment using Reality AI Tools®

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