エピソード

  • Turning Motion Blur into a Design Advantage
    2026/09/22

    In this episode of Visions: A Machine Vision and Automation Solutions Podcast, VSD Head of Content Sharon Spielman speaks with Dr. Michael Fanous of Fanous Photonics about the concept of a "blur budget" — deliberately allowing and engineering motion blur as a tool rather than an error. They discuss continuous motion imaging approaches like GANSCAN and BlurryScope, balancing stage velocity, exposure, optics, and computation, and why training models on real acquisition conditions is critical.

    The conversation highlights research insights, potential industrial impacts, and guidance for teams exploring computational imaging strategies.

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    20 分
  • BV Seal: GM's AI-Powered Leak Detection for EV Battery Packs
    2026/09/15

    In this episode of Visions, Jim Tatum explores GM's BVSeal — an AI-driven, CO₂-based gas imaging system that detects and pinpoints battery pack leaks in real time on the production line. Learn how collaborative robots, edge computing, and specialized cameras combine to reduce scrap, speed decision-making, and improve manufacturing quality.

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    8 分
  • How Spatial Intelligence Is Transforming Machine Vision
    2026/09/08

    In this episode of Visions: A Machine Vision and Automation Solutions Podcast, VSD's Sharon Spielman interviews Hantz Fevry, CEO of Geolava, about spatial intelligence — AI that understands and reasons about the physical world in 3D — who explains how world models enable vision systems to perceive, predict, and make smarter decisions across time and sensors.

    Fevry discusses key enabling technologies (multimodal imagery, LIDAR, temporal fusion), practical factory-floor applications (co-pilots, predictive maintenance, robots), integration challenges with legacy systems, validation advice, and how leaders should focus on measurable outcomes and quality multimodal data.

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    16 分
  • Alex Shikany Talks Robotics Surge and Machine Vision with Sharon Spielman
    2026/09/01

    VSD's Head of Content Sharon Spielman interviews Alex Shikany from A3 about an increase in robot orders and what it means for machine vision and automation. They discuss growing opportunities across new industries, the importance of modular and interoperable vision systems, and how 3D vision, sensor fusion, and AI are reshaping solutions.

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    26 分
  • Drones That See: Inside Modern Drone Vision Systems
    2026/08/25

    In this episode, Vision Systems Design’s Sharon Spielman talks with Arthur Erickson, CEO and co-founder of Hylio, about modern drone vision systems. They discuss advances in camera cost and performance, edge computing, sensor fusion (radar, stereo vision, LiDAR, thermal), payload and gimbal design, vibration damping, and real-time AI processing to enable applications across industry sectors as well as Hylio’s full-stack approach to hardware and software integration for robust, field-ready drone solutions.

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    25 分
  • Zebra's Unified Automation: Vision, RFID and AI Powering the Frontline
    2026/08/19

    In this episode, Visions Host Jim Tatum interviews Ritesh Gupta of Zebra Technologies about the company’s evolution from hardware data-capture to a unified, AI-driven automation platform that integrates machine vision, RFID, mobile computing, and software to enable real-time decisions at the edge.

    They discuss the benefits and trade-offs of a single-vendor stack, how integrators’ roles are shifting toward data architecture and AI orchestration, and the skills front-line teams and engineers will need for intelligent, connected operations.

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    20 分
  • Proceed, Pause, Escalate: Balancing AI Autonomy on the Factory Floor
    2026/08/18

    Visions welcomes back Dijam Panigrahi, co-founder and COO of GridRaster, a company that specializes in next generation spatial AI and extended reality technology, who discusses AI's growing role in manufacturing—especially machine vision inspection—and presents a three-tier framework (human-in-the-loop, limited autonomy, full autonomy) for deciding when AI should act and when humans must intervene.

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    24 分
  • Visions Podcast: A Closer Look at Orbbec’s Robot‑Free Data Capture Platform
    2026/08/11

    Host Jim Tatum interviews Xin Xie, Orbbec Chief Engineer and Director of CM/JDM & Solutions, about a new robot-free, wearable vision platform that captures synchronized RGB, depth, and motion data directly from human operators to train AI models. The episode explains Orbbec’s approaches to intrinsic/extrinsic calibration, microsecond-level sensor synchronization, multi-view strategies to reduce hand occlusion, and AI-enhanced depth processing.

    The discussion highlights why high-quality real-world data complements simulation for embodied AI, how Orbbec ensures manufacturing consistency and unit-to-unit fidelity at scale, and the platform’s open SDK for developer integration.

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    26 分