Computer vision systems for mobile autonomous machines experience a wide variety of real-world conditions and inputs that can be challenging to capture accurately in training datasets. Few autonomous systems experience more challenging conditions than those in orbit. In this talk, […]
Today, a great deal of effort is wasted in optimizing and re-optimizing computer vision and machine learning application software as algorithms change and as developers target different processors. Developers need a way to deploy their applications on any processor, taking […]
Just as humans rely on multiple senses to understand our environment, electronic systems are increasingly equipped with multiple types of perceptual sensors. Combining and integrating data from heterogeneous sensors (e.g., image, thermal, motion, LiDAR, RF) along with other types of […]
Join us for a conversation with legendary inventor and technology visionary Dean Kamen. In his 2018 keynote presentation at the Embedded Vision Summit, Kamen memorably predicted that embedded vision capabilities would eventually become as common as limit switches—i.e., used universally […]
Sports analytics is about observing, understanding and describing the game in an intelligent manner. In practice, this requires a fully automated, robust end-to-end pipeline, spanning from visual input, to player and group activities, to player and team evaluation to planning. […]
As computer vision applications continue to evolve rapidly, there’s a growing need for a smarter standardized interface connecting multiple image sensors to processors for real-time perception and decision-making. In this presentation, we will provide a deep dive into the latest […]
Computer vision has vast potential in the retail space. At 7-Eleven, we are working on fast frictionless checkout applications to better serve customers. These solutions range from faster checkout systems to fully automated cashierless stores. A key goal for such […]
