Industrial Vision (Computer Vision)

D3 Engineering Demonstration of a Synchronized 2D/3D Time-of-Flight Multi-camera Application on NVIDIA’s Jetson AGX Xavier

Jason Enslin, Product Manager for NVIDIA Jetson and Cameras at NVIDIA partner D3 Engineering, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Enslin demonstrates a synchronized 2D and 3D time-of-flight multi-camera application on NVIDIA’s Jetson AGX Xavier. With the growing need for video, distance measurement […]

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Use Case: Air Conditioner Piston Check

This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. With the growing use of computer vision in Industrial IoT (IIoT) and Industry 4.0 to analyze and detect defects, we were inspired to build an image recognition model that can classify images of AC pistons. Materials used

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Luxonis Demonstration of Spatial Artificial Intelligence and Computer Vision for Human/Machine Safety

Brandon Gilles, CEO of Luxonis, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Gilles demonstrates spatial artificial intelligence (AI) and computer vision (CV) for human/machine safety. In situations where people need to interact with potentially dangerous equipment, it is often not possible to physically guard

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What is High Dynamic Range (HDR)? How Do HDR Cameras Work?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. While resolution, sensitivity, and frame rate had been the definitive benchmarks for selecting a suitable industrial camera in the past, high dynamic range has become increasingly inevitable for applications involving challenging & varying light conditions.

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Teledyne DALSA’s Falcon4-CLHS 11.2M Camera Engineered for High-performance Imaging Applications

Waterloo, CANADA ─ November 9, 2021 ─ Teledyne DALSA is pleased to announce that its Falcon4-CLHS M4480 camera, based on the Teledyne e2v Lince 11.2M monochrome sensor, is now in full production. The new Falcon4-CLHS model delivers an easy-to-use CLHS interface camera that has been specifically engineered for industrial imaging applications requiring high-speed data transfer.

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The Thermal Imaging and Sensing Market: After the COVID-19 Pandemic, What are the Next Steps?

This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. After the boom in thermal cameras used for fever detection in 2020, Yole Développement analyzes the evolution of this industry and identifies the next steps, especially the role of the Chinese companies. OUTLINE: Thermal

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May 2021 Embedded Vision Summit Slides

The Embedded Vision Summit was held online on May 25-28, 2021, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in PDF form. To… May 2021 Embedded Vision Summit

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What are Global Shutter and Rolling Shutter? How to Choose the One That Fits the Application

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Are you wondering how to choose between Rolling shutter and Global shutter for your application? Then, read this article to better understand the differences between rolling shutter and global shutter and how to choose the

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Basler Integrates CMOS Sensors from Gpixel into ace 2 Portfolio

As one of the first computer vision providers, Basler is expanding its portfolio of digital industrial cameras to include models with CMOS sensors from the manufacturer Gpixel. The 16 new models in the Basler ace 2 camera family, in combination with the matching Basler Lenses, offer customers a good mix of performance and price for

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Use Case: Defect Detection in Metal Surfaces

This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. With the rise of Industrial IoT (IIoT) and Industry 4.0, ML is playing an ever-increasing role in enabling automation. With this in mind, we built an ML model that can classify defects on metal materials using image

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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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Walnut Creek, CA 94596

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