Hardware Podcasts

AI Vision Systems in Manufacturing with Deepview's Eliyahu Davis

OnTrack · 30 Jul 2024 · 47m · Episode 275

What this episode covers

Eliyahu Davis, lead engineer at Deepview AI, explains how his company uses deep learning to automate factory inspection, reducing setup time from 40 hours to minutes. Davis details his transition from aerospace software engineering to hardware, describing how he learned Altium Designer through online resources and mentorship to design the camera's PCB. He discusses the technical challenges of running neural network training on edge devices and the future of foundation models in industrial automation.

Most relevant to

early-stage companies

Topics

Mentioned

Companies
Deepview AI, Altium, NASA, Severstal, Meta, Tesla, Fanuc, Toyota
Also
Fedeville

Related episodes from other shows

Other shows on the same ground, closest first.

  • 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 firmwareMicrocontrollers & dev platforms
    8 chapters

  • The Manufacturing Executive · 39m

    Starting Small With AI and Emerging Manufacturing Technology w/ Jarred Knecht

    Jarred Knecht, founder of AI quality inspection software KonnectAi and president of ProEV and ECI, explains how his family’s wire harness business evolved from industrial sectors to EV and defense markets. He details the development of KonnectAi, an AI-powered visual inspection tool designed to replace the irreplaceable institutional knowledge of veteran inspectors like 'Joe' without adding cost or complexity. Knecht discusses the challenges of implementing technology in traditional manufacturing, emphasizing a 'baby steps' approach to workforce adoption and the strategic value of AI in business development and talent retention.

    AI & machine learningHiring & workforce
    6 chapters

  • The Amp Hour

    Changing Course with Shawn Hymel

    Shawn Hymel, formerly of Edge Impulse, discusses his transition from developer relations to creating full-time educational courses in embedded systems and CAD. He explains why he is leaving corporate engineering to focus on progressive learning content, citing the difficulty of competing with low-cost hardware manufacturers and the limitations of one-off video projects. The conversation covers his upcoming courses on FreeCAD, 3D printing, and the Zephyr RTOS, as well as his advice for hardware engineers looking to upskill in machine learning and edge AI.

    Careers & educationAI & machine learning
    7 chapters

  • Over the Air · 39m

    Embedded Systems and IoT Connectivity: Lessons from Automate 2024

    Ryan Prosser, CEO of Very Technology, reports from Automate 2024, interviewing leaders from Machine Metrics, Unit X, Sensory Robotics, On Logic, Light Guide, Elementary, Snowbottics, Acme Manufacturing, Happily, Kongitech, MyTech, Lincode, Wheel Me, and Orbit 3D. The conversation covers AI-driven vision platforms, robotic safety sensors, rugged edge computing, and autonomous mobile robots, highlighting the shift toward edge AI and human-centric automation. Key technical discussions include point cloud generation for safety, modular industrial PCs, and AI-based defect detection for high-speed manufacturing lines.

    AI & machine learningSensors & measurement in products
    10 chapters

  • 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.

    AI & machine learningSensors & measurement in products
    7 chapters

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