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).
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.
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.
The required functionality is localized within the boundaries of one or two standard devices, more than 30% of third-party solutions in IoT/IIoT are replaced programmatically.
Cost of software and hardware solutions:
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):
Scopes of application:
A team of experts in machine learning, in the field of signal processing and data visualization, for machine vision tasks MV, ten years of experience in it development
EMIIA GitHub repositories are included in the Arctic World Archive GitHub (EMIIA) program , which aims to preserve modern open source software for of 1,000 years future generations GitHub Arctic Code Vault 2020.
AI algorithms, neural network models (datasets), terms and format of the "Cognitive Radio optics" technology are developed exclusively by EMIIA:
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