Chris Osterwood, Founder and CEO of Capable Robot Components, presents the “Survey of CMOS Imagers and Lenses—and the Trade-offs You Should Consider” tutorial at the May 2021 Embedded Vision Summit. Selecting the right imager and lens for your vision application is often a daunting challenge due to the vast number of products on the market […]
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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Vladimir Haltakov, Self-Driving Car Engineer at BMW Group, presents the “Data Collection in the Wild” tutorial at the May 2021 Embedded Vision Summit. In scientific papers, computer vision models are usually evaluated on well-defined training and test datasets. In practice, however, collecting high-quality data that accurately represents the real world is a challenging problem. Developing
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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
Pierre Cambou, Principal Analyst at Yole Développement, presents the “Transformation from Imaging to Sensing: Driving a Market Revolution” tutorial at the May 2021 Embedded Vision Summit. Over the past 20 years, digital imaging has grown to become a huge industry with a focus on producing images for human consumption. More recently, the emphasis has begun
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
Sabina Pokhrel, Customer Success AI Engineer at Xailient, presents the “Introduction to DNN Model Compression Techniques” tutorial at the May 2021 Embedded Vision Summit. Embedding real-time large-scale deep learning vision applications at the edge is challenging due to their huge computational, memory, and bandwidth requirements. System architects can mitigate these demands by modifying deep-neural networks
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Chris Yates, Director at Vision Ventures, presents the “Benchmarking Value in the Age of AI: Rational Decisions About Black Box Technology” tutorial at the May 2021 Embedded Vision Summit. 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
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
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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