Shay Kamin Braun, Director of Low-power AI Marketing at Synaptics, presents the “How to Enhance Edge AI Vision with the Katana SoC Using Multi-Modal Sensing” tutorial at the May 2022 Embedded Vision Summit. Machine learning (ML)-based vision edge AI has wide applicability across a variety of segments, including consumer electronics, home security, smart buildings, smart […]
Armita Abadian, Senior Technical Marketing Manager for Imaging in the Americas at STMicroelectronics, presents the “Combining Ultra-low-power Proximity Sensing and Ranging to Enable New Applications” tutorial at the May 2022 Embedded Vision Summit. Time-of-flight (ToF) sensors are widely used to provide depth maps, which enable machines to understand their surroundings in three dimensions for applications
Tae-Ho Kim, Co-founder and CTO of Nota AI, presents the “Empower Your Edge Device Using NetsPresso – No AI Engineer Required!” tutorial at the May 2022 Embedded Vision Summit. Despite the outstanding achievements of deep learning models, commercializing deep learning applications remains challenging. AI implementation experts are rare, and AI models for production must meet
Nathan Wheeler, Chairman and CEO, and Tony Luce, Vice President of Product Marketing, both of Network Optix, present the “Platform Approach to Developing Networked Visual AI Systems” tutorial at the May 2022 Embedded Vision Summit. Connected cameras are becoming ubiquitous. Coupled with CV and ML, they enable a growing range of applications that monitor people,
Erik Kokalj, Director of Applications Engineering at Luxonis, presents the “Enable Spatial Understanding for Embedded/Edge Devices with DepthAI” tutorial at the May 2022 Embedded Vision Summit. Many systems need to understand not only what objects are nearby, but also where those objects are in the physical world. This is “spatial AI”. In this talk, Kokalj
Hussein Osman, Segment Marketing Director at Lattice Semiconductor, presents the “Accelerate Tomorrow’s Models with Lattice FPGAs” tutorial at the May 2022 Embedded Vision Summit. Deep learning models are advancing at a dizzying pace, creating difficult dilemmas for system developers. When you begin developing an edge AI system, you select the best available model for your
Avi Baum, CTO and Co-founder of Hailo, presents the “Taking Intelligent Video Analytics to the Next Level,” tutorial at the May 2022 Embedded Vision Summit. In this presentation, Baum examines how powerful edge AI improves the value proposition of video analytics across market segments such as physical security, access control, retail and intelligent transportation. He
“Taking Intelligent Video Analytics to the Next Level,” a Presentation from Hailo Read More +
This video was originally published at the NVIDIA Developer YouTube channel. It is reprinted here with the permission of NVIDIA. NVIDIA’s DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing, video, audio and image understanding. This video covers the fundamentals of NVIDIA’s new tracker unified architecture. From the video, you will: Learn
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Amol Borkar, Director of Product Management and Marketing for Tensilica Vision and AI DSPs at Cadence, presents the “Designing the Next Ultra-Low-Power Always-On Solution” tutorial at the May 2022 Embedded Vision Summit. Increasingly, users expect their systems to be ready to respond at any time—for example, using a voice command to launch a music playlist.
“Designing the Next Ultra-Low-Power Always-On Solution,” a Presentation from Cadence Read More +
David Davis, Senior Embedded Software Engineer, and John Withers, Automation and Systems Engineer, both of BDTI, present the “TensorFlow Lite for Microcontrollers (TFLM): Recent Developments” tutorial at the May 2022 Embedded Vision Summit. TensorFlow Lite Micro (TFLM) is a generic inference framework designed to run TensorFlow models on digital signal processors (DSPs), microcontrollers and other
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