In this wide-ranging interview, neuroscientist and product developer Walter Greenleaf will explain how advances in virtual and augmented reality, machine learning and agentic AI and biosensing and embedded vision are converging to transform not only healthcare but human interaction as […]
As artificial intelligence is making rapid strides in use of large language models, the need for multimodality arises in multiple application scenarios. Similar to the way humans use multiple sensory systems to solve problems and arrive at decisions, in many […]
In this talk, we’ll explore the evolution of multimedia processing at the edge, from simple early use cases such as audio and video processing powered by algorithm-centric approaches to modern sophisticated capabilities such as digital human avatars that are transmitted […]
As depth sensing and computer vision technologies evolve, integrating RGB and depth cameras has become crucial for reliable and precise scene perception. In this session, we present an approach for aligning images from an RGB camera with depth maps from […]
In this session, we’ll explore how embedded vision is being used in industrial applications, including vehicle safety and production. We’ll highlight some of the challenging requirements of these applications, including the need for low latency, high accuracy and robustness in […]
In this presentation, we explore the integration of cameras within the Robot Operating System (ROS) for robust embedded vision applications. We’ll delve into ROS’s core functionalities for camera data handling, including the ROS messages (data structures) used for transmitting image […]
As edge computing demands smaller, more efficient models, knowledge distillation emerges as a key approach to model compression. We delve into the details of this process, exploring what knowledge distillation entails and the requirements for its implementation, including dataset size […]
In this talk, we introduce MPU+, a novel programmable, customizable low-power platform for real-time, localized intelligence at the edge. The platform includes an AI-augmented image signal processor that enables leading image and video quality. In addition, it integrates ultra-low-power object […]
AITCare-Vision predicts cognitive decline by analyzing sleep-wake disorders data in older adults. Using computer vision and motion sensors coupled with AI algorithms, AITCare-Vision continuously monitors sleep patterns, including disturbances such as frequent nighttime awakenings or irregular sleep cycles. AITCare-Vision utilizes […]
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