Josh Morris, Engineering Manager at DSP Concepts, presents the “Comparing ML-Based Audio with ML-Based Vision: An Introduction to ML Audio for ML Vision Engineers” tutorial at the May 2022 Embedded Vision Summit. As embedded processors become more powerful, our ability to implement complex machine learning solutions at the edge is growing. Vision has led the […]
Chris Rowen, VP of AI Engineering for Webex Collaboration at Cisco, presents the “System Imperatives for Audio and Video AI at the Edge” tutorial at the May 2022 Embedded Vision Summit. At long last, we are past the hype stage for media AI. Audio and video machine learning are becoming common tools for embedded hardware
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Federico Perazzi, Head of AI at Bending Spoons, presents the “Knowledge Distillation of Convolutional Neural Networks” tutorial at the May 2022 Embedded Vision Summit. Convolutional neural networks are ubiquitous in academia and industry, especially for computer vision and language processing tasks. However, their superior ability to learn meaningful representations in large-scale data comes at a
Gaurav Singh, Perception Lead and System Architect at Nemo @ Ridecell, presents the “Ensuring Quality Data for Deep Learning in Varied Application Domains: Data Collection, Curation and Annotation” tutorial at the May 2022 Embedded Vision Summit. In this presentation, Singh explores the data lifecycle for deep learning, with a particular emphasis on data curation and
Adrián Márques , Managing Partner at Digital Sense, presents the “Selecting the Right Camera for Your Embedded Computer Vision Project” tutorial at the May 2022 Embedded Vision Summit. The right camera can be key to the success of a computer vision project. For example, in an object detection or segmentation task, you can gain much
Max Henkart, Optics Consultant and Owner of Commonlands LLC, presents the “12+ Image Quality Attributes that Impact Computer Vision” tutorial at the May 2022 Embedded Vision Summit. In this presentation, Henkart introduces key image quality metrics. He discusses how they impact the performance of geometric and CNN-based methods, along with providing key performance indicators (KPIs)
Konstantinos Balafas, Head of AI Data, and Carlo Dal Mutto, Director of Engineering, both of Airbus, present the “MLOps: Managing Data and Workflows for Efficient Model Development and Deployment” tutorial at the May 2022 Embedded Vision Summit. Machine learning operations (MLOps) is the engineering field focused on techniques for developing and deploying machine learning solutions
Rudy Burger, Managing Partner at Woodside Capital Partners, presents the “Big Trends in Computer Vision for 2022: Health and Safety, Retail and Consumer Electronics” tutorial at the May 2022 Embedded Vision Summit. Over the last few years computer vision technology has penetrated dozens of markets. The value of the computer vision market is predicted to
Ian Riches, VP of Global Automotive Practice at Strategy Analytics, presents the “Automotive Driver Monitoring Market: What’s Happening? Why? What’s the Opportunity?” tutorial at the May 2022 Embedded Vision Summit. This presentation covers Strategy Analytics’ detailed analysis and forecast of the driver monitoring systems (DMS) market. It highlights the driving forces behind the expected rapid
Jack Narcotta, Principal Analyst at Strategy Analytics, presents the “Market for Cameras and Video Doorbells in the Smart Home” tutorial at the May 2022 Embedded Vision Summit. 2022 may be the start of a reckoning for hardware-focused camera brands as selling at the lowest price is an unsustainable business model. Strategy Analytics has observed that
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