Edge AI and Vision Alliance

“Optimizing Image Quality and Stereo Depth at the Edge,” a Presentation from John Deere

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Processors, Robotics, Sensors and Cameras, Software, Summit 2023, Tools, Videos /

Travis Davis, Delivery Manager in the Automation and Autonomy Core, and Tarik Loukili, Technical Lead for Automation and Autonomy Applications, both of John Deere, present the “Reinventing Smart Cities with Computer Vision” tutorial at the May 2023 Embedded Vision Summit. John Deere uses machine learning and computer vision (including stereo vision) for challenging outdoor applications […]

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

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Security, Sensors and Cameras, Software, Summit 2023, Videos /

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 the number of cameras, the

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

Algorithms, Edge AI and Vision Alliance, Software, Summit 2023, Tools, Videos /

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 provides a comprehensive survey of

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

Algorithms, Automotive, Edge AI and Vision Alliance, Object Identification, Object Tracking, Optical Character Recognition, Processors, Security, Sensors and Cameras, Software, Summit 2023, Tools, Videos /

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, Ghadiok presents his company’s privacy-preserving

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

Algorithms, Edge AI and Vision Alliance, Sensors and Cameras, Software, Summit 2023, Tools, Videos /

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 more popular. People now create,

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Edge AI and Vision Insights: September 27, 2023 Edition

Edge AI and Vision Alliance, Newsletters /

MULTIMODAL PERCEPTION Frontiers in Perceptual AI: First-person Video and Multimodal Perception First-person or “egocentric” perception requires understanding the video and multimodal data that streams from wearable cameras and other sensors. The egocentric view offers a special window into the camera wearer’s attention, goals, and interactions with people and objects in the environment, making it an

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

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2023, Tools, Videos /

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 way from venture investors, co-founders,

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

Algorithms, Edge AI and Vision Alliance, Software, Summit 2023, Tools, Videos /

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 many simultaneous insights and transformations.

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

Algorithms, Edge AI and Vision Alliance, Processors, Software, Summit 2023, Tools, Videos /

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, healthcare and retail. Edge deployments

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“Efficient Neuromorphic Computing with Dynamic Vision Sensor, Spiking Neural Network Accelerator and Hardware-aware Algorithms,” a Presentation from Arizona State University

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2023, Tools, Videos /

Jae-sun Seo, Associate Professor at Arizona State University, presents the “Efficient Neuromorphic Computing with Dynamic Vision Sensor, Spiking Neural Network Accelerator and Hardware-aware Algorithms” tutorial at the May 2023 Embedded Vision Summit. Spiking neural networks (SNNs) mimic biological nervous systems. Using event-driven computation and communication, SNNs achieve very low power consumption. However, two important issues

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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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