In this Over-the-Shoulder tutorial, you will learn how to use AWS and NVIDIA technologies to develop solutions for edge computing and video analytics. We will introduce the use of key NVIDIA SDKs, including TensorRT and DeepStream, for optimizing your deep […]
Arrow Electronics and Analog Devices have teamed up to provide end-users with a Time of Flight development kit that includes hardware, software and algorithms for developing applications that require 3D depth mapping. This Over-the-Shoulder tutorial will walk you through how […]
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 […]
Improvements in CMOS image sensors have been instrumental in lowering barriers for embedding vision into a broad range of systems. For example, a high degree of system-on-chip integration allows photons to be converted into bits with minimal support circuitry. Low […]
The use of low-precision arithmetic (8-bit and smaller data types) is key for the deployment of deep neural network inference with high performance, low cost and low power consumption. Shifting to low-precision arithmetic requires a model quantization step that can […]
Image signal processors (ISPs) are tasked with processing raw pixels delivered by image sensors in order to optimize the quality of images. In computer vision applications, much attention is focused on tuning the ISP, both to obtain good training data […]
In this presentation, we explore practical aspects of implementing a pre-trained deep neural network (DNN) inference on typical edge processors. First, we briefly touch on how we evaluate the accuracy of DNNs for use in real-world applications. Next, we explain […]
In the race to power efficiency for neural network processing, optimizing memory use to reduce data traffic is critical. Many processors have a small local memory (typically SRAM) used as a scratch pad which can be used to reduce the […]
There is an increasing need to bring machine learning to a wide diversity of hardware devices. Current frameworks rely on vendor-specific operator libraries and optimize for a narrow range of server-class GPUs. Deploying workloads to new platforms — such as […]
OpenVX is a mature computer vision and machine learning API standard by the Khronos group, developed to be a novel, open and royalty-free standard for cross-platform acceleration. Real-world computer vision and machine learning applications are still in their infancy, and […]
