Industrial Vision (Computer Vision)

AI Disruption is Driving Innovation in On-device Inference

This article was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How the proliferation and evolution of generative models will transform the AI landscape and unlock value. The introduction of DeepSeek R1, a cutting-edge reasoning AI model, has caused ripples throughout the tech industry. That’s because its performance is on […]

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Empowering Civil Construction with AI-driven Spatial Perception

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Transforming Safety, Efficiency, and Automation in Construction Ecosystems In the rapidly evolving field of civil construction, AI-based spatial perception technologies are reshaping the way machinery operates in dynamic and unpredictable environments. These systems enable advanced

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Single- vs. Multi-camera Systems: The Ultimate Guide

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Single and multiple camera setups play a vital role in today’s vision systems, enhancing applications such as Automated sports broadcasting, Industrial robots, Traffic monitoring and more. Explore the key differences, advantages, and real-world applications of

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Computer Vision and AI at the Edge with a Thermal Camera Provider and a Toy Manufacturer

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. As the pace of artificial intelligence innovation accelerates, we’re seeing AI and computer vision go from science fiction tropes to enabling highly efficient and compelling applications. This integration is particularly potent at the edge, where devices locally

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Top 4 Computer Vision Problems & Solutions in Agriculture — Part 2

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this series we introduced you with the top 4 issues you are likely to encounter in agriculture related datasets for object detection: occlusion, label quality, data imbalance and scale variation. ‍In Part 2

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Dietmar Ley Elected Chairman of the VDMA Robotics + Automation Association

Ley will hold the honorary position for three years and emphasizes the role of the committee as a strong voice for European robotics and automation suppliers Ahrensburg, November 22, 2024 – Dr. Dietmar Ley, CEO of Basler AG, has been elected as the new Chairman of the VDMA Robotics + Automation Association. Ley has been

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Synthetic Data is Revolutionizing Sensor Tech: Real Results from Virtual Worlds

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Imagine you’re a developer on your first day at a new job. You’re handed a state-of-the-art sensor designed to capture data for an autonomous vehicle. The excitement quickly turns to anxiety as you realize the

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Top 4 Computer Vision Problems & Solutions in Agriculture — Part 1

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this series, we highlight the 4 main issues you are likely to encounter in object detection datasets in agriculture. We begin by summarizing the challenges of applying AI to crop monitoring and yield

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How Qualcomm Technologies’ New Platforms Power the Most Demanding Applications in Extreme Environments

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The convergence of physical and digital technologies is transforming industries and driving the need for more advanced platforms to power the next generation of industrial IoT (IIoT) devices. The result is a dramatic leap in demand for

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“Edge AI Optimization on Rails—Literally,” a Presentation from Wabtec

Matthew Pietrzykowski, Principal Data Scientist at Wabtec, presents the “Edge AI Optimization on Rails—Literally” tutorial at the May 2024 Embedded Vision Summit. In this talk, Pietrzykowski shares highlights from his company’s adventures developing computer vision solutions for the rail transportation industry. He begins with an introduction to the types of… “Edge AI Optimization on Rails—Literally,”

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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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