Industrial Vision (Computer Vision)

“Navigating Physical AI Deployment Across Multiple Platforms for Automated Optical Inspection,” a Presentation from eInfochips (an Arrow company)

Barrie Mullins, Assistant Vice President at eInfochips (an Arrow company) presents “Navigating Physical AI Deployment Across Multiple Platforms for Automated Optical Inspection” at the May 2026 Embedded Vision Summit. As automated optical inspection moves from the server room to the factory floor, the promise of “seamless” AI deployment often hits… “Navigating Physical AI Deployment Across […]

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Engineering Intelligence at the Physical Edge

As AI moves into vehicles, appliances and industrial systems, the next challenge is scaling physical intelligence safely, reliably and in real-world conditions   This article was originally published at HCLTech’s website. It is reprinted here with the permission of HCL Tech. Key takeaways Physical AI is reaching an inflection point as intelligence moves into real-world systems

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Matrix Design Group and Hyundai Material Handling Announce Technology Partnership

NEWBURGH, Ind. — In recognition of National Forklift Safety Day, Matrix Design Group LLC, a wholly owned subsidiary of Alliance Resource Partners, L.P. (NASDAQ: ALRP), and Hyundai Material Handling are highlighting a partnership focused on reducing warehouse collisions caused by blind spots, congested aisles and limited operator reaction time. Through HiVision® powered by OmniPro®, Hyundai

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Top Challenges When Implementing AI Inspection and How to Outcome Them

This blog post was originally published at Lincode’s website. It is reprinted here with the permission of Lincode. Why, after all, do AI inspection systems not yield the results that manufacturers expect? Every day, manufacturers face three challenges. First, we have to deal with unstable lighting, second there are gaps in the training data, and third, the challenge

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Akida Pico: The Tiny Brain Making “Always-On” AI a Reality

This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. In the world of Edge AI, there’s always been a tradeoff: high intelligence, always-on capability, or long battery life. If you wanted a device to listen for a voice command or monitor something 24/7, you usually had to

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“Speeding Time to Market with Production-Ready Edge AI Solutions: From Wake Word Detection to Face Recognition,” a Presentation from Microchip Technology

Nick De Rosa, Kannan Srinivasagam, Edge AI Marketing Manager at Microchip Technology presents “Speeding Time to Market with Production-Ready Edge AI Solutions: From Wake Word Detection to Face Recognition” at the May 2026 Embedded Vision Summit. Design teams are moving from edge AI evaluation to deployment and need production-ready, system-level… “Speeding Time to Market with

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How Customized Single-board Computers Increase the Profitability of Embedded Vision Systems

This blog post was originally published at Helbling’s website. It is reprinted here with the permission of Helbling. Artificial Intelligence is one of the defining technological trends of this decade. In particular, vision-based AI applications, where camera data is processed directly on the edge, are gaining rapid momentum. Embedded Vision systems are the backbone of these

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Upcoming Event on AI Transformation

KOTRA Silicon Valley will host “Physical AI Superconnect 2026,” on June 24, 2026, from 10:00 am to 8:00 pm PDT at the Computer History Museum in Mountain View, California. The event will feature insightful presentations, technology exhibits, matchmaking and networking. From the event page: ​M.AX: A New Era of Manufacturing AI Transformation ​​Physical AI Superconnect

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Everything Is Going to Be Driven by Algorithms

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. A security camera on a warehouse loading dock captures 86,400 seconds of video every day. A fleet telematics recorder on a long-haul truck accumulates gigabytes of road footage between fuel stops. A surgical robot’s stereo cameras generate

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How Pre-Built AI Models Speed Up Factory Inspection Deployment

This blog post was originally published at Lincode’s website. It is reprinted here with the permission of Lincode. Did you know that over 35% of manufacturing defects go undetected during traditional visual inspections, costing factories millions in rework and lost productivity every year?[1] Many manufacturers struggle to implement AI-powered inspection systems because building and training custom models from

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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