Brian Dipert

How to Optimize and Accelerate Machine Vision Processing on GPUs

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. How to optimize and accelerate GPUS: tools, techniques, and real-world scenarios Machine learning (ML) systems analyze tremendous amounts of data to identify hidden patterns and make predictions based on those patterns. This requires a very […]

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Join e-con Systems’ Exclusive Webinar In Collaboration With Advantech

e-con Systems is excited to invite you to an exclusive joint webinar on “Unlocking AI at the Edge: How Embedded Vision Is Helping Take Giant Strides” in partnership with Advantech. Learn how embedded vision is transforming real-time decision-making across industries. Dec 17, 2024, Tuesday – 11:00 AM – 12:00 PM (CET) or Dec 18th, 2024,

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Qualcomm Technologies’ IoT Strategy: A New Approach, a New Opportunity

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our new blueprint for enabling our partners and end customers to bring more smarts to the edge was one of the highlights of Investor Day Everything around us is either already a lot smarter or aiming to

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Why You Don’t Need Two Separate Cameras for RGB and IR Imaging in Remote Patient Monitoring

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. This blog post explores how RGB-IR cameras simplify remote patient monitoring (RPM) by eliminating the need for separate day and night cameras. It highlights their benefits, including compact design, reduced power consumption, and simultaneous RGB

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What is a Digital Twin and Why is It Important to IoT?

This blog post was originally published at eInfochips’ website. It is reprinted here with the permission of eInfochips. The Internet of Things and digital twins have a mutually beneficial relationship. IoT devices provide the real-time data that powers digital twins, while digital twins realize IoT data’s potential through monitoring, optimization, prediction, and decision support for

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NAMUGA Expands Vision Sensing Business, Aiming for $450 Million Revenue by 2027

November 25, 2024 – NAMUGA, a leader in camera-based sensing technologies, is expanding into four key markets: Augmented Reality (AR), Virtual Reality (VR), Mobility, and Biomedical sectors. By leveraging its advanced vision-sensing capabilities, the company targets annual revenues exceeding 600 billion KRW (approximately $450 million) by 2027. In an exclusive interview with The Electronic Times, NAMUGA

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Driverless Routes, Roboshuttles and Autonomous Buses

Automation can vary from level 0 to level 5 within the automotive industry, from sole reliance on driver control, all the way to completely driverless vehicles. Roboshuttles and autonomous buses will likely strive for level 5 operation as a long-term goal but are currently aiming for level 4, where driverless operation can take place within

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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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On the Brink of the Technological Singularity: Is AI Set to Surpass Human Intelligence?

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Each advancement in artificial intelligence (AI), machine learning (ML), and contemporary large language models (LLMs), rekindles debates over the technological singularity, a hypothetical future point in time at which technological growth becomes uncontrollable and irreversible,

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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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