the first AI application
for pattern recognition
via radio waves

Pattern recognition, detection, calculation of speed, coordinates and direction of movement of objects (people, animals, cars) by means of radio waves, including behind radio-transparent obstacles (walls, obstacles, rain, snow, fog, dark time of day).

  • Neural network signal processing and data visualization (Edge).

Preorder    Solutions 

Range: through radio-transparent obstacles up to 9 meters, in open area up to 300 meters, passive detection up to 1000 meters. More than 30% of sensors, navigation, ADAS, automation and security tools are replaced by software.

  • CR-SLAM (a method of simultaneous localization and mapping).

Software    Movie 

The development of EMIIA (EMIIA.AI) significantly reduces the likelihood of harm to humans as a result of interaction with intelligent machines and systems. They reduce costs and increase the capabilities of artificial intelligence, allowing you to achieve 4 "mind off" and 5 "steering wheel optional" levels of autonomy.

Basic technology


Сognitive Radio optics – machine vision based on the principles of radio optics using artificial neural networks.

CR-SLAM (Cognitive Radio optics sensor, simultaneous localization and mapping):

  • AI Navigation
  • AI Mapping
  • AI Sensor

Scopes of application:

  • Auto industry
  • Robotics
  • Automation
  • IoT/IIoT
  • Smart Home


  • EMIIA Software
  • Linux or Android OS
  • Wi-Fi 2.4/5 GHz module

About technology 

EMIIA neural network solutions enable millions of devices, unmanned and robotic systems around the world, to become safer for humans, faster, more functional and more affordable.




More details 



More details 


A team of experts in machine learning, in the field of signal processing and data visualization, for machine vision tasks MV.

AI algorithms, neural network models (datasets), terms and format of the "Cognitive Radio optics" technology are developed exclusively by EMIIA:

  • 2015 - laboratory samples were developed (software and hardware solutions for Radio optics).
  • 2016 - the world's first built-in modules, neural network tools and datasets were developed for the processing of radio signals and data visualization (Cognitive Radio optics).
  • 2017 - Built-in controllers (Cognitive Radio optics) are developed.
  • 2019 - the world's first embedded neural network software in Radio optics for peripheral devices (Edge computing) was developed.

About us 

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