What’s at stake:
Before founding Oculi, Charbel Rizk was a designer of autonomous systems frustrated with computer vision systems available on the market. Traditional sensors, often built for human consumption, produce massive volumes of data, which result in systems needing more bandwidth and suffering from increased latency. Can Rizk convince other systems designers to embrace Oculi’s new vision architecture originally developed to fulfill Rizk’s own wish list?
Oculi, a Baltimore, Maryland startup, offshoot of a Johns Hopkins University research team, has developed a vision technology architecture in which sensing and processing both reside at the pixel level. The company calls it Sensing and Processing Unit (SPU).
Charbel Rizk, Oculi’s founder and CEO said in a recent interview with the Ojo-Yoshida Report, “My claim to the world is that we will always enable the lowest power, bandwidth, latency and ultimately cost computer vision solution with privacy.”
This is big talk among the many players in sensing and processing, all of them pursuing ultimate edge AI solutions in a broad range of embedded systems.