Neural networks are being used to solve an ever-increasing number of use cases, elevating the importance of efficient model training and ongoing model maintenance. The value of a machine learning solution is easy to demonstrate in the lab but quickly […]
Contextual awareness is the ability of a system to gather information about its environment and adapt behaviors accordingly. Contextual awareness is enabling enriched user experiences in applications like XR, robotics and automotive. It requires the processing of data from multiple […]
The combination of AI and embedded vision promises compelling solutions to an almost infinite range of practical problems, often vastly outperforming historical techniques, while stimulating a pace of development unsurpassed since the early days of the internet. As innovative companies […]
As edge AI is growing across different markets and entering more products, discussions about realizing product and application goals are growing in importance. This presentation will explore how product and application goals are being met in real-world applications by examining […]
hxGraph is a high-level tool that enables users to develop computer vision applications using the OpenCV APIs and then target the application to run on the high-performance HyperX embedded processor. hxGraph accepts a Python program written using the OpenCV API […]
Recent progress in machine learning algorithms has been meteoric. Yet their implementation in real-world embedded applications crawls at a snail’s pace, in large part due to inconsistent and inefficient software architectures. In this session, we will introduce the concept of […]
Understanding the 3D environment is a crucial computer vision capability required by a growing set of applications such as autonomous driving, AR/VR and AIoT. 3D visual information, captured by LiDAR and other sensors, is typically represented by a point cloud […]
In this presentation, Ian Riches will look at the key applications and use cases that are driving rapid adoption of vision systems in automotive applications, and where other sensor types, such as RADAR and LiDAR fit into this picture. He’ll […]
Enabling dynamic manufacturing workflows from the supply chain to production and customer delivery holds the promise of increased operating efficiency and greater profits. This session will explore how computer vision will play a key role in enabling these operating efficiencies.
In image classification tasks, the evaluation of models’ robustness to increased dataset shifts with a probabilistic framework is very well studied. However, object detection (OD) tasks pose other challenges for uncertainty estimation and evaluation. For example, one needs to evaluate […]
