Fundamentals

“When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies,” a Presentation from Ambarella

Dinesh Balasubramaniam, Senior Product Marketing Manager at Ambarella, presents the “When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies” tutorial at the May 2021 Embedded Vision Summit. Camera systems used for computer vision at the edge are smarter than ever, but when they perceive the world in 2D, they remain limited for […]

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“An Introduction to Data Augmentation Techniques in ML Frameworks,” a Presentation from AMD

Rajy Rawther, PMTS Software Architect at AMD, presents the “Introduction to Data Augmentation Techniques in ML Frameworks” tutorial at the May 2021 Embedded Vision Summit. Data augmentation is a set of techniques that expand the diversity of data available for training machine learning models by generating new data from existing data. This talk introduces different

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“Getting Started with Vision AI Model Training,” a Presentation from NVIDIA

Ekaterina Sirazitdinova, Data Scientist at NVIDIA, presents the “Getting Started with Vision AI Model Training” tutorial at the May 2021 Embedded Vision Summit. In many modern vision and graphics applications, deep neural networks (DNNs) enable state-of-the-art performance for tasks like image classification, object detection and segmentation, quality enhancement and even new content generation. In this

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“Tools and Strategies for Quickly Building Effective Image Datasets,” a Presentation from BDTI

Evan Juras, Computer Vision Engineer at BDTI, presents the “Tools and Strategies for Quickly Building Effective Image Datasets,” tutorial at the May 2021 Embedded Vision Summit. A common pain point when using machine learning for computer vision is the need to manually curate and label large quantities of training images. Depending on the application, thousands

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“Practical Guide to Implementing Deep Neural Network Inferencing at the Edge,” a Presentation from Zebra Technologies

Toly Kotlarsky, Distinguished Member of the Technical Staff in R&D at Zebra Technologies, presents the “Practical Guide to Implementing Deep Neural Network Inferencing at the Edge” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Kotlarsky explores practical aspects of implementing a pre-trained deep neural network (DNN) inference on typical edge processors. First,

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“Introducing Machine Learning and How to Teach Machines to See,” a Presentation from Tryolabs

Facundo Parodi, Research and Machine Learning Engineer at Tryolabs, presents the “Introduction to Machine Learning and How to Teach Machines to See” tutorial at the September 2020 Embedded Vision Summit. What is machine learning? How can machines distinguish a cat from a dog in an image? What’s the magic behind convolutional neural networks? These are

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“Can You See What I See? The Power of Deep Learning,” a Presentation from StreamLogic

Scott Thibault, President and Founder of StreamLogic, presents the “Can You See What I See? The Power of Deep Learning” tutorial at the September 2020 Embedded Vision Summit. It’s an exciting time to work in computer vision, mainly due to the technological advances in the area of deep learning. This talk is an introduction to

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“Introduction to Simultaneous Localization and Mapping (SLAM),” a Presentation from Skydio

Gareth Cross, Technical Lead for State Estimation at Skydio, presents the “Introduction to Simultaneous Localization and Mapping (SLAM)” tutorial at the September 2020 Embedded Vision Summit. This talk provides an introduction to the fundamentals of simultaneous localization and mapping (SLAM). Cross provides foundational knowledge; viewers are not expected to have any prerequisite experience in the

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“Eye Tracking for the Future,” a Presentation from Parallel Rules

Peter Milford, President of Parallel Rules, presents the “Eye Tracking for the Future” tutorial at the September 2020 Embedded Vision Summit. Eye tracking is an increasingly important technology for applications ranging from augmented and virtual reality head-mounted displays to automotive driver monitoring. In this talk, Milford introduces eye tracking techniques and technical challenges. He also

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“Reinforcement Learning: a Practical Introduction,” a Presentation from Microsoft

Joe Booth, former Vice President of Engineering at Orions Systems (now part of Microsoft, where Booth is a Principal Group Engineering Manager) and an independent researcher, presents the “Reinforcement Learning: a Practical Introduction” tutorial at the September 2020 Embedded Vision Summit. This talk provides a practical introduction to reinforcement learning. Booth explains how reinforcement learning

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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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