Using multiple fixed cameras to track objects requires a careful solution design. To enable scaling the number of cameras, the solution must avoid sending all images across a network. When camera views overlap only a little or not at all, […]
11:25 AM
Hayden AI has developed the first AI-powered data platform for smart and safe city applications such as traffic enforcement, parking and asset management. In this talk, we’ll present our privacy-preserving vision-based mobile solution, which we deploy in a city’s existing […]
In what format can an AI system best present what it “sees” in a visual scene to help robots accomplish tasks? This question has been a long-standing challenge for computer scientists and robotics engineers. In this presentation, we will provide […]
Generative adversarial networks, or GANs, are widely used to create amazing “fake” images and realistic, synthetic training data. And yet, despite their name, mainstream GANs generate only the examples that are easiest to find, rather than the promised adversaries, which […]
The neural network models used in embedded real-time applications are evolving quickly. Transformer networks are a deep learning approach that has become dominant for natural language processing and other time-dependent, series data applications. Now, transformer-based deep learning network architectures are […]
Vision-based product developers have a vast array of processors to choose from. Unfortunately, each processor has its own unique tool chain. This makes it difficult for developers to evaluate processor options and target different processors for different product needs. Fortunately, […]
LiDAR technologies and markets are changing fast. Recent years have seen rapid innovation in many diverse types of LiDAR technologies. For example, LiDAR suppliers use a variety of different optical wavelengths, beam steering mechanisms and detector types. At the same […]
Always-sensing cameras are becoming a common AI-enabled feature of consumer devices, much like the always-listening Siri or Google assistants. They can enable a more natural and seamless user experience, such as automatically locking and unlocking the device based on whether […]
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 […]
February 3, 2023
• jordan
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 […]
