Technical Insights

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

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

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

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

Algorithms & Models, 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

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

“Item Recognition in Retail,” a Presentation from 7-Eleven

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

Sumedh Datar, Senior Machine Learning Engineer at 7-Eleven, presents the “Item Recognition in Retail” tutorial at the May 2023 Embedded Vision Summit. Computer vision has vast potential in the retail space. 7-Eleven is working on fast frictionless checkout applications to better serve customers. These solutions range from faster checkout systems to fully automated cashierless stores.

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“Embedded Vision in Robotics, Biotech and Education,” an Interview with Dean Kamen

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

Dean Kamen, Founder of DEKA Research and Development, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Embedded Vision in Robotics, Biotech and Education” interview at the May 2023 Embedded Vision Summit. In his 2018 keynote presentation at the Embedded Vision Summit, legendary inventor and technology visionary Dean Kamen memorably

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“Open Standards Unleash Hardware Acceleration for Embedded Vision,” a Presentation from the Khronos Group

Algorithms & Models, NVIDIA, Software, Summit 2023, Tools, Videos /

Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Open Standards Unleash Hardware Acceleration for Embedded Vision” tutorial at the May 2023 Embedded Vision Summit. Offloading visual processing to a hardware accelerator has many advantages for embedded vision systems. Decoupling hardware and software removes barriers to innovation

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“Next-generation Computer Vision Methods for Automated Navigation of Unmanned Aircraft,” a Presentation from Immervision

Aerospace and Defense, Algorithms & Models, Immervision, Sensors and Cameras, Software, Summit 2023, Tools, Videos /

Julie Buquet, Applied Researcher for Imaging and AI at Immervision, presents the “Next-generation Computer Vision Methods for Automated Navigation of Unmanned Aircraft” tutorial at the May 2023 Embedded Vision Summit. Unmanned aircraft systems (UASs) need to perform accurate autonomous navigation using sense-and-avoid algorithms under varying illumination conditions. This requires robust algorithms able to perform consistently,

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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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