Andrea Dunbar, Sector Head for Edge AI and Vision at CSEM, presents the “Intelligent Vision System for Grains” tutorial at the May 2021 Embedded Vision Summit. In this presentation, Dunbar discusses the challenges and lessons learned in implementing a custom intelligent vision system to detect types of grain and measure flow rate and morphology of […]
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Marcus Edel, Machine Learning Engineer, and Aaron Boxer, Senior Software Developer, both of Collabora, present the “Super Resolution on Resource Constrained Devices” tutorial at the May 2021 Embedded Vision Summit. Internet video streaming has recently experienced tremendous growth, but delivery quality remains critically dependent on network bandwidth. To mitigate bandwidth limitations, most video is compressed,
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Nathan Kopp, Principal Software Architect for Video Systems at the Chamberlain Group, presents the “Practical Guide to Implementing ML on Embedded Devices” tutorial at the May 2021 Embedded Vision Summit. Deploying machine learning onto edge devices requires many choices and trade-offs. Fortunately, processor designers are adding inference-enhancing instructions and architectures to even the lowest cost
Vladimir Haltakov, Self-Driving Car Engineer at BMW Group, presents the “Is My Model Performing Well? It Depends…” tutorial at the May 2021 Embedded Vision Summit. There are many statistical metrics used to measure the performance of machine learning models. While they work well when the model itself is the final product, classical measures are often
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Navaneeth Kamballur Kottayil, Lead Machine Learning Developer at AltaML, presents the “Explainability in Computer Vision: A Machine Learning Engineer’s Overview” tutorial at the May 2021 Embedded Vision Summit. 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
Carlo Dal Mutto, Director of Engineering at Airbus, presents the “Productizing Complex Visual AI Systems for Autonomous Flight” tutorial at the May 2021 Embedded Vision Summit. The development of visual AI systems for real-world applications is a complex undertaking characterized by a variety of diverse challenges. While the media spotlight is often focused on academic
Petronel Bigioi, CTO for Product Licensing at Xperi, presents the “Alternative Image Sensors for Intelligent In-Cabin Monitoring, Home Security and Smart Devices” tutorial at the May 2021 Embedded Vision Summit. The traditional approach for in-cabin-monitoring uses cameras that capture only visible or near-infrared (NIR) light and are designed to represent a scene as closely as
Rakshit Agrawal, Director of Research and Development at Camio, presents the “How Containerization Unblocks Barriers to Fast, Easy Deployment of AI-Driven Visual Recognition Applications” tutorial at the May 2021 Embedded Vision Summit. 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
Kiriti Nagesh Gowda, Staff Engineer at AMD, presents the “OpenVX 1.3: An Open Standard for Computer Vision Software Acceleration” tutorial at the May 2021 Embedded Vision Summit. OpenVX is a popular computer vision and machine learning API standard developed by the Khronos Group to be a novel, open and royalty-free standard for cross-platform acceleration. In
James Imber, Senior Research Engineer at Imagination Technologies, presents the “High-fidelity Conversion of Floating-point Networks for Low-precision Inference Using Distillation with Limited Data” tutorial at the May 2021 Embedded Vision Summit. When converting floating-point networks to low-precision equivalents for high-performance inference, the primary objective is to maximally compress the network whilst maintaining fidelity to the
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