The single-photon avalanche diode (SPAD) is an emerging image sensing technology with unique capabilities relevant to computer vision applications. Originally designed for imaging in low-light conditions, the ultra-high time resolution of SPADs also helps to achieve extremely high dynamic range, […]
In the U.S. alone, commercial buildings contain roughly 70 billion square feet of space. Constructing, operating and maintaining this space consumes a tremendous amount of resources. Yet, facility operators typically have little insight into how their spaces are utilized. XY […]
This talk provides an introduction to the fundamentals of simultaneous localization and mapping (SLAM). We aim to provide foundational knowledge, and attendees are not expected to have any prerequisite experience in the field. The talk consists of an introduction to […]
Security is a problem for every IOT system, but due to privacy concerns, security is particularly worrisome for embedded vision systems. In this talk we’ll cover how to design your embedded device so that the hardware architecture itself enforces strict […]
Adaptive traffic control systems (ATCSs) adjust traffic signal timing based on demand. We begin by presenting the main building blocks of a vision-based ATCS, including pre-processing, vehicle detection, vehicle classification and vehicle tracking. Next, we examine several of the key […]
With the increasing use of deep neural networks in computer vision applications, it has become more difficult for developers to explain how their algorithms work. This can make it difficult to establish trust and confidence among customers and other stakeholders, […]
Perception devices, such as AR/VR wearable devices and autonomous vehicles, undergo deformations due to temperature changes, mechanical stress and aging, among other factors. This degrades the user experience as it reduces the accuracy of mapping and tracking, which depends on […]
In the real world, machine learning models are components of a broader software application or system. In this talk, Danielle Dean of iRobot will explore the importance of optimizing the system as a whole–not just optimizing individual ML models. Based […]
In this talk, we introduce the fundamentals of deep learning for image understanding. We begin by explaining the basics of convolutional neural networks (CNNs), and showing how CNNs are used to perform image classification and object detection. We provide an […]
Deploying computer vision-based solutions in very remote locations (such as those often found in mining and oil drilling) introduces unique challenges. For example, it is typically impractical to test solutions in the real operating environment—or to replicate the environment to […]
