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“Using a Collaborative Network of Distributed Cameras for Object Tracking,” a Presentation from Invision AI

Samuel Örn, Team Lead and Senior Machine Learning and Computer Vision Engineer at Invision AI, presents the “Using a Collaborative Network of Distributed Cameras for Object Tracking” tutorial at the May 2023 Embedded Vision Summit. Using multiple fixed cameras to track objects requires a careful solution design. To enable scaling… “Using a Collaborative Network of …

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ProHawk Technology Group Overview of AI-enabled Computer Vision Restoration

Brent Willis, Chief Operating Officer of the ProHawk Technology Group, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Willis discusses the company’s AI-enabled computer vision restoration technology. ProHawk’s patented algorithms and technologies enable real-time, pixel-by-pixel video restoration, overcoming virtually all environmental …

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DeGirum Demonstration of Streaming Edge AI Development and Deployment

Konstantin Kudryavtsev, Vice President of Software Development at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Kudryavtsev demonstrates streaming edge AI development and deployment using the company’s JavaScript and Python SDKs and its cloud platform. On the software front, DeGirum …

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Cadence Demonstrations of Generative AI and People Tracking at the Edge

Amol Borkar, Director of Product and Marketing for Vision and AI DSPs at Cadence Tensilica, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Borkar demonstrates two applications running on customers’ SoCs, showcasing Cadence’s pervasiveness in AI. The first demonstration is of …

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“A Survey of Model Compression Methods,” a Presentation from Instrumental

Rustem Feyzkhanov, Staff Machine Learning Engineer at Instrumental, presents the “Survey of Model Compression Methods” tutorial at the May 2023 Embedded Vision Summit. One of the main challenges when deploying computer vision models to the edge is optimizing the model for speed, memory and energy consumption. In this talk, Feyzkhanov… “A Survey of Model Compression …

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“Reinventing Smart Cities with Computer Vision,” a Presentation from Hayden AI

Vaibhav Ghadiok, Co-founder and CTO of Hayden AI, presents the “Reinventing Smart Cities with Computer Vision” tutorial at the May 2023 Embedded Vision Summit. Hayden AI has developed the first AI-powered data platform for smart and safe city applications such as traffic enforcement, parking and asset management. In this talk,… “Reinventing Smart Cities with Computer …

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“Learning for 360° Vision,” a Presentation from Google

Yu-Chuan Su, Research Scientist at Google, presents the “Learning for 360° Vision,” tutorial at the May 2023 Embedded Vision Summit. As a core building block of virtual reality (VR) and augmented reality (AR) technology, and with the rapid growth of VR and AR, 360° cameras are becoming more available and… “Learning for 360° Vision,” a …

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“90% of Tech Start-Ups Fail. What the Other 10% Know,” a Presentation from Connected Vision Advisors

Simon Morris, Executive Advisor at Connected Vision Advisors, presents the “90% of Tech Start-Ups Fail. What Do the Other 10% Know?” tutorial at the May 2023 Embedded Vision Summit. Morris is fortunate to have led three tech start-ups with three successful exits. He received a lot of advice along the… “90% of Tech Start-Ups Fail. …

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“Efficient Many-function Video ML at the Edge,” a Presentation from Cisco Systems

Chris Rowen, Vice President of AI Engineering for Webex Collaboration at Cisco Systems, presents the “Efficient Many-function Video ML at the Edge,” tutorial at the May 2023 Embedded Vision Summit. Video streams are so rich, and video workloads are so sophisticated, that we may now expect video ML to supply… “Efficient Many-function Video ML at …

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“Introduction to Optimizing ML Models for the Edge,” a Presentation from Cisco Systems

Kumaran Ponnambalam, Principal Engineer of AI, Emerging Tech and Incubation at Cisco Systems, presents the “Introduction to Optimizing ML Models for the Edge” tutorial at the May 2023 Embedded Vision Summit. Edge computing opens up a new world of use cases for deep learning across numerous markets, including manufacturing, transportation,… “Introduction to Optimizing ML Models …

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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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