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OpenCV

  • Behind the Magic: Disney Research Imagineering’s Doug Fidaleo Comes to OSCCA

    What does it look like when computer vision and AI power experiences for millions of guests at Disney scale, from AI-driven robotic characters to conversational droids in a galaxy far, far away? Find out at OSCCA, the OpenCV-SID Conference on Computer Vision & AI, happening May 4th in Los Angeles as part of Display Week…

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  • When the Track Is Your Lab: Meet the Team Racing Without a Driver

    What does it take to build an AI that competes in professional motorsports — no driver, no remote control, just autonomous decision-making at race speed? Find out at OSCCA, the OpenCV-SID Conference on Computer Vision & AI, happening May 4th in Los Angeles as part of Display Week 2026. One of our featured speakers is…

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  • Attend The OpenCV-SID Conference On Computer Vision & AI This May 4th

    OpenCV is continuing our partnership with the awesome Display Week conference, joining them in Los Angeles this May 4th for a special one-day event packed with insights from Computer Vision & AI visionaries and a 3-hour workshop from OpenCV CEO Dr. Satya Mallick. OSCCA is back for 2026! Last year was the first time we’d…

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  • Preview The Embedded Vision Summit 2026 Conference On OpenCV Live

    Join the organizers of the Embedded Vision Summit on this preview webinar for an insider look at the premier conference on practical computer vision and edge AI, highlighting key trends, sessions, and what to expect at this year’s event organized by the Edge AI and Vision Alliance. OpenCV has been going to Embedded Vision Summit…

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  • Calling Roboticists & Vision Experts: Tackle Dexterous Manipulation and Win Big in the AI for Industry Challenge

    A real-world robotics challenge with a $180K prize pool, where innovation and industry impact collide. We’re standing at an inflection point in robotics: electronics assembly, especially dexterous manipulation remains one of the biggest open problems in industry today. Tasks like handling flexible cables or inserting connectors during electronics assembly, are still exceedingly hard for robots…

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  • Real-Time Face Tracking: OpenCV Control of a UR Robot

    Picture an industrial robot that doesn’t wait for button presses or predefined programs, but instead reacts instantly to your presence. As you move, the robot’s tool gently adjusts its position, tracking your face in real time and responding with smooth, deliberate motion. This kind of interaction, where vision directly drives robotic behavior, highlights how computer…

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  • Part 3: Simultaneous Localization & Mapping: Which SLAM Is For You? on OpenCV Live!

    Simultaneous Localization & Mapping (SLAM) is one of the most active and contentious areas of CV & robotics. Should you use purely visual SLAM? Do you need LiDAR? What about indoor .vs. outdoor use cases? We’ll cover all these and more with OpenCV community member Ali Pahlevani of SLAMbotics in the final episode of this…

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  • OpenCV Live: The Low-Power Computer Vision Challenge 2026

    This year the Low-Power Computer Vision Challenge (LPCV) has three tracks with serious prize money including Image-to-Text Retrieval, Action Recognition in Video and AI Generated Images Detection. Each track has over $10,000 in prizes up for grabs, and is open for participation! On this week’s episode we welcome back the LPCV organizers to give us…

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  • From Image Features to Visual Place Recognition: OpenCV Approach

    Imagine a robot rolling through a building, a car driving through city streets, or a drone flying over a campus. Hours later, it reaches a familiar-looking spot and silently asks a crucial question: “Have I been here before?” This deceptively simple question is at the heart of Visual Place Recognition (VPR). Visual Place Recognition is…

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  • Watershed Segmentation Using OpenCV

    Counting overlapping or touching objects in images is a common challenge in computer vision. Simple thresholding and contour detection often fail when objects are in contact, treating multiple items as a single blob. The Watershed algorithm provides a solution to this problem by treating the image as a topographic surface and “flooding” it to separate…

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