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 […]
Next-generation AI and computer vision applications for autonomous vehicles, cameras, drones and robots require higher-than-ever computing power. Often, the most efficient way to deliver high performance (especially in cost- and power-constrained applications) is to use multi-core processors. But developers must […]
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 […]
As enterprises and consumers increasingly adopt machine learning-enabled smart cameras, the expectations of these end users are becoming more sophisticated. In particular, smart camera users increasingly expect their deployed cameras to improve over time—for example, becoming more accurate and gaining […]
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 […]
This presentation covers the basics of computer vision using convolutional neural networks. We will begin by introducing some important conventional computer vision techniques and then transition to explaining the basics of machine learning and convolutional neural networks (CNNs) and showing […]
Virtually all computer vision machine learning models involve classification—for example, “how many humans are in the frame?” To train such a model, you need examples of every class of object the model is intended to detect. But what happens when […]
Video is hard. Network Optix makes it really easy. Video has the potential to become a valuable source of operational data for business, especially with the help of AI. We’ll show how to practically build a video-enabled cloud or hybrid […]
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 […]
