Vision and Imaging 101 with Edmund Optics' Greg Hollows

Manufacturing Happy Hour · 6 Sept 2022 · 35m

What this episode covers

Greg Hollows, VP of Product Strategy at Edmund Optics, discusses the evolution of machine vision from the late 1990s to today, highlighting the shift from low-resolution, expensive offline inspection to high-speed, real-time processing enabled by increased bandwidth and computing power. He identifies key growth areas for imaging technology, including autonomous vehicles, agricultural drone sensing, and semiconductor manufacturing, while noting that physics limitations in optics are becoming a bottleneck alongside data processing. Hollows shares career advice drawn from his 20+ years at the company, emphasizing the importance of diversifying project portfolios to mitigate economic risk, as seen during the 2008 recession, and the value of networking at industry events like A3's Vision Show to stay connected to emerging applications.

Other shows on the same ground, closest first.

  • EE Times Current · 37m

    Machine Vision: Seeing is Believing

    Jeff Bier, president of BDTI and founder of the Edge AI and Vision Alliance, discusses the evolution of machine vision from constrained manufacturing environments to complex natural settings. He explains how the industry shifted from handcrafted algorithms to data-driven deep learning, enabling applications like mask detection and elder care monitoring. Bier also highlights the necessity of sensor fusion, such as combining vision with radar or LiDAR, to overcome environmental limitations like fog or darkness.

  • EE Times Current · 48m

    Machines That See | Distribution Evolution | Where No TV Show Has Gone Before

    Jeff Bier, founder of the Embedded Vision Alliance (now Edge AI and Vision Alliance), explains how embedded vision has evolved from expensive industrial inspection to ubiquitous consumer applications like automotive safety and smartphone face ID, driven by domain-specific processors and deep learning. Jens Gamperl, CEO of Sourceability, describes his company's hybrid distribution model, which uses tools like Source Engine to integrate real-time supply chain data directly into design workflows via APIs, bridging the gap between engineering and procurement.

  • Embedded.fm · 1h 08m

    184: Not Likely, Possible, or Safe

    Ben Krasnow, host of the Applied Science YouTube channel and an engineer at Verily (Google Life Sciences), discusses his work with high-speed cameras, prototyping techniques, and the economics of creator funding. He details the physics of high-speed imaging, his use of the OSH Chip and Processing for BLE prototyping, and his philosophy on failure and education. Krasnow also shares insights on staying current with technology via Hacker News and Twitter, and reflects on the shifting landscape of AI and self-driving cars.

  • EE Times Current · 43m

    The Seer of Prophesee | CES: The Good, The Bad, and The Weird…, and The Sleepable, The Driveable, The Mixological

    Luca Verre, CEO of Prophesee, explains how their event-based sensors capture only changes in a scene to reduce data bandwidth for automotive and industrial applications, highlighting a collaboration with Sony on a new 1-megapixel sensor. EE Times editors then review CES 2020, discussing privacy chips from D-Clock, edge processing software from Tiraki, and autonomous boats from Brunswick. They also cover IBM's quantum computing farm, John Deere's AI-powered precision agriculture sprayers, and various consumer gadgets like smart beds and AI toothbrushes.

  • EE Times Current · 31m

    CES ’22 Redux: Gaming Systems and Automated Machines

    Jim McGregor, principal analyst at Tirias Research, discusses key trends from CES 2022, highlighting how gaming and automation are driving semiconductor innovation. He explains that gaming is shifting towards laptops and streaming interfaces, with ray tracing and AI upscaling like Nvidia's DLSS becoming critical for performance. McGregor also covers the rise of autonomous machines, including Hyundai's avatar robots and the broader push for factory and industrial automation due to labor costs and demographics.

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by Manufacturing Happy Hour. The episode itself belongs to its publisher.