Peter Santos, Chief Operating Officer of Pickle Robot Company, presents the “Real-World Deployment of Mobile Material Handling Robotics in the Supply Chain” tutorial at the May 2025 Embedded Vision Summit. More and more of the supply chain needs to be, and can be, automated. Demographics, particularly in the developed world,… “Real-world Deployment of Mobile Material […]
Gavin Jager, Researcher and Lab Space Manager at Oak Ridge National Laboratory, presents the “Developing a GStreamer-based Custom Camera System for Long-range Biometric Data Collection” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Jager describes Oak Ridge National Laboratory’s work developing software for a custom camera system… “Developing a GStreamer-based Custom Camera
Vlad Branzoi, Perception Sensors Team Lead at Agility Robotics, presents the “Sensors and Compute Needs and Challenges for Humanoid Robots” tutorial at the September 2025 Edge AI and Vision Innovation Forum.
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Generative AI is opening new possibilities for analyzing existing video streams. Video analytics are evolving from counting objects to turning raw video content footage into real-time understanding. This enables more actionable insights. The NVIDIA AI Blueprint for
How to Integrate Computer Vision Pipelines with Generative AI and Reasoning Read More +
Matt Merrifield, Chief Technology Officer at The Nature Conservancy, presents the “Scaling Artificial Intelligence and Computer Vision for Conservation” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Merrifield explains how the world’s largest environmental nonprofit is spearheading projects to scale the use of edge AI and vision… “Scaling Artificial Intelligence and Computer
Jui Garagate, Camera Software Engineer, and Karthick Kumaran, Staff Software Engineer, both of Meta, co-present the “Lightweight Camera Stack for Edge AI” tutorial at the May 2025 Embedded Vision Summit. Electronic products for virtual and augmented reality, home robots and cars deploy multiple cameras for computer vision and AI use… “A Lightweight Camera Stack for
“A Lightweight Camera Stack for Edge AI,” a Presentation from Meta Read More +
Alina Li Zhang, Senior Data Scientist and Tech Writer at LinkedIn Learning, presents the “Unlocking Visual Intelligence: Advanced Prompt Engineering for Vision-language Models” tutorial at the May 2025 Embedded Vision Summit. Imagine a world where AI systems automatically detect thefts in grocery stores, ensure construction site safety and identify patient… “Unlocking Visual Intelligence: Advanced Prompt
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. What you should know: The future of AI will be hybrid, with the cloud and the edge working together — each playing a vital role. The user interface (UI) is now human-centric — your device understands your
The Edge’s Essential Role in the Future of AI Read More +
Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Deploying Accelerated ML and AI: The Role of Khronos Open Standards” tutorial at the May 2025 Embedded Vision Summit. Accelerating machine learning and AI workloads often requires specialized hardware, but managing compatibility across… “Deploying Accelerated ML and AI:
Eric Danziger, CEO of Invisible AI, presents the “Scaling Computer Vision at the Edge” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Danziger introduces a comprehensive framework for scaling computer vision systems across three critical dimensions: capability evolution, infrastructure decisions and deployment scaling. Today’s leading-edge vision systems… “Scaling Computer Vision at the
“Scaling Computer Vision at the Edge,” a Presentation from Invisible AI Read More +
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