IoT device development has traditionally relied on a monolithic approach, with all firmware developed by a single vendor using a rigid waterfall model, typically in C, and infrequently updated. This paradigm is insufficient. For AI-enabled IoT devices to reach their […]
Join us to learn all about NXP’s just-launched i.MX 93 applications processor family. The i.MX 93 is built with NXP’s innovative Energy Flex architecture, which delivers high performance, low power consumption and incredible versatility at an affordable price. We’ll introduce […]
When you think about building a vision-enabled product, you probably think about things like: Which processor am I going to use? What neural network will it run? Where will I get the training data? These are important questions that need […]
Unmanned aircraft systems (UASs) need to perform accurate autonomous navigation using sense-and-avoid algorithms under varying illumination conditions. This requires robust algorithms able to perform consistently, even when image quality is poor. In this presentation we will share the results of […]
Unless you’re a gang member or drug addict, driving is your top risk. But which risks can you handle and which can kill you? Since 96% of collisions are caused by human error and 75% are unconscious (the driver is […]
In this intermediate-level presentation, we will delve into some of the most common problems that arise when training deep neural networks. We’ll provide a brief overview of essential training metrics, including accuracy, precision, false positives, false negatives and F1 score. […]
In this presentation, we will provide an introduction to light detection and ranging (LiDAR) technology. We’ll explain how LiDAR sensors work and their main advantages and disadvantages. We’ll introduce different approaches to LiDAR, including scanning and flash LiDAR. We’ll explore […]
The phrase “garbage in, garbage out” is applicable to machine and human vision. If we can improve the quality of image data at the source by removing noise, this will have far-reaching impacts, such as improved accuracy later in the […]
ImmersiView is a deep learning–based augmented reality solution for automotive safety. It uses a head-up display to draw a driver’s attention to important objects. The development of such solutions often resembles research more than development, with long development cycles and […]
The Qualcomm Snapdragon mobile platform powers the world’s best smartphones, XR headsets, PCs, wearables, automobiles and IoT products. These devices leverage the latest computer vision technologies that power Snapdragon’s ISP, AR/VR perception pipeline and advanced video capture features. In this […]
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