$GTCH is now researching the potential development of a radio based computer vision system to be guided by AI for cardiovascular applications. This is the first phase of the research to evaluate an autonomous arterial clog cleaning mini-probe. A typical computer vision system has the ability to recognize objects via a camera’s imaging which is combined with a computer vision algorithm to process and interpret the image’s data. GBT is researching to the potential design of a new approach vision system, which would be radio based. When a transmitted electromagnetic wave (radio wave) encounters a change in medium, some or all of it may propagate into the new medium and the remainder is reflected.

The part that enters the new medium is called the transmitted wave and the other the reflected wave. The probe will include an on-board radio transmits and receive (transceiver) system. The design contemplates the probe transmitting and receiving radio waves and a neural network program used to analyze this data to construct a 3D image of the probe’s environment as it moves within arteries. The research is considering an AI system that will detect and identify clogs within arteries, alerting and proposing removal methods.