Visions: A Machine Vision and Automation Solutions Podcast
Welcome to Visions: A Machine Vision and Automation Solutions Podcast, where we focus on keeping you informed of the latest news and innovations in all things machine vision and imaging, from important news to trending technologies. Listeners can expect a mix of articles from Vision Systems Design as well as exciting, interesting conversations with a wide range of guests.
Episodes
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.
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,...
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.
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...
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 architect...
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.
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-enha...
In this episode Jim Tatum interviews Chris Shelton about Penn State Behrend's VAR lab project to create a research-grade digital twin of the Liberty Bell using structured light, laser metrology, LIDAR, photogrammetry and edge computing. The team captured hundreds of gigabytes of data under tight time constraints to preserve and share high-precision 3D models for research, visualization, and education.
The conversation covers equipm...
In this episode of Visions, Sharon Spielman chats with Cindy Ye, CEO of Exaktera, about how the company reduces complexity for engineers by combining multiple specialist brands, deep technical expertise, and hands‑on support.
Exaktera explains its outcome‑focused approach—providing configurable platforms, rapid prototyping, on‑site commissioning, and long‑term troubleshooting—to help OEMs and integrators deliver reliabl...
Host Jim Tatum interviews Christopher Van Dyke, CEO and co-founder of Overview AI, about the company’s mission to bring automotive-grade AI perception into factory inspection. Overview AI offers an easy-to-deploy smart camera that detects variable defects, trains in hours, and logs real-time results on the edge.
The conversation covers why they leaned into AI early, challenges around sparse defect data and synthetic augmentat...
At Automate, VSD spoke with Jonathan Sparks of Interact Analysis about major machine vision trends: including faster adoption of stereo and time-of-flight cameras, the growing impact of AI and deep learning, changing business models like subscription pricing, and regional shifts driven by Chinese vendors and rising hubs in Eastern Europe and India.
This episode examines Bitsensing's retrofit ADAS kit deployed on passenger buses in South Korea, combining radar, cameras, and AI to increase driver awareness in dense urban traffic. Initial deployment reported results of more than 50% improvement in driver safety scores and a 24% drop in pedestrian collision warnings.
This episode explores SiLC Technologies' Ionic Vista, an ultra-long-range 4D LiDAR vision system built on silicon photonics that provides wide-area coverage beyond a kilometer with per-pixel distance, velocity, and polarization measurements.
Host Jim Tatum speaks with Arlon Martin about the system's features, including dynamic region-of-interest scaling, object detection and identification capabilities, integration with radar and c...
Sharon Spielman interviews Johannes Zurin of Allied Vision about the future of machine vision, covering the rise of embedded AI and smart cameras, new sensor technologies like SWIR, and growth areas such as semiconductors and defense.
The episode also discusses shifting supply chains, pricing pressure, faster development cycles, changing B2B buying behaviors, and the importance of partnerships and industry standards in accelerating...
Here is the second installment of a two-part podcast on Vision Language Models. In this episode, host Jim Tatum speaks with Dijam Panigrahi, co-founder and COO of GridRaster, about VLMs and their expanding role in machine vision and robotics.
The conversation covers real-world deployments in manufacturing and depot environments, how VLMs integrate with quality standards and digital twins to create living systems with traceability a...
In this episode Jim Tatum interviews Dijam Panigrahi of GridRaster about Vision-Language Models (VLMs), a next-generation AI that blends visual data and natural language to enable reasoning, interpretation, and real-time decision-making in industrial settings.
VLMs are shown to improve robotics and inspection by giving machines context-aware vision, active task guidance, and expert knowledge to augment human workers and automate co...
In this episode, A3 Executive VP Alex Shikany joins Vision Systems Design's head of content Sharon Spielman to preview Automate 2026 in Chicago (June 22–25). They discuss the new Humanoid Robot Forum, the convergence of vision, AI, and robotics, and how standards, interoperability, and practical demos will shape real-world deployments.
The conversation highlights key sessions and free expo events—certified vision tracks...
In this episode of Visions, Sharon Spielman interviews Thomas Hopner of MVTEC about cyber resilience for machine vision systems, covering secure communication and firmware, manual patching constraints due to certifications, and the impact of the EU Cyber Resilience Act.
They discuss practical steps—risk assessments, managing open-source dependencies, developer education, containerized CI/CD pipelines, and the challenges of lo...
In this episode of Visions, Sharon Spielman, VSD's head of content, interviews Thomas Hopfner of MVTec, who discusses cyber resilience for machine vision systems, explaining how resilience differs from traditional cybersecurity and why recovery and ongoing patching matter.
Hopfner covers practical guidance on secure communication, firmware integrity, software bills of materials (S‑BOMs), and compliance with the EU Cyber Resilience ...
In this episode, the second and final of a two-part podcast, Sharon Spielman interviews Cognex CEO Matt Moschner about a new survey and the real-world impact of AI-driven machine vision. They discuss transparency and auditability for regulated industries, lowering the barrier to adoption through easier-to-deploy AI tools, and advances in embedded hardware that enable higher throughput and better defect detection.
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