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The listing below showcases the most recently published content associated with various AI and visual intelligence functions.

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Varjo Selects Inuitive’s NU4100 Vision Processor for Its Next Generation XR-4 Series Virtual and Mixed Reality Products

The XR-4 Series leverages the unparalleled capabilities of the NU4100 vision processor to achieve high-resolution, low-latency video streaming from multiple cameras, bridging the gap towards human-like visual perception Ra’anana, Israel, February 05, 2024 – Varjo, the technology leader in industrial-grade VR/XR hardware and software, recently announced its next-generation XR-4 Series headsets. The XR-4 Series deploys

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How Does LiDAR Work In Detail?

This blog post was originally published at Outsight’s website. It is reprinted here with the permission of Outsight. 3D LiDAR is a complex technology that enables unprecedented spatial intelligence. Many engineering choices are possible when building a new device. This article is a continuation of the basic introduction to LiDAR technology that was provided in

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Understanding the Basics of 3D LiDAR Technology

This blog post was originally published at Outsight’s website. It is reprinted here with the permission of Outsight. 3D LiDAR technology and processing software are increasingly becoming critical in numerous fields from people flow monitoring in airports to vehicles. Light Detection and Ranging, also known as LiDAR, is a technology for remote sensing that is

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How High-resolution Cameras Help Maximize Soccer Broadcasting Efficiency

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The easy integration of high-resolution cameras is changing the game for soccer clubs of all sizes. Find out about the benefits of these best-fit cameras and their key parameters. Also discover e-con Systems’ e-CAM200, a

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Radar Santa Classifier

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Here goes a second edition of our special Christmas treat for you! (The first one was about Santa Classification using classical Computer Vision techniques. It not only was accurate – catching even the Grinch – but also

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Improving Perception with Multiple Radar Sensors

This blog post was originally published by D3. It is reprinted here with the permission of D3. There are variety of applications where spatial sensing is beneficial.  Applications such as automotive parking, robotics collision avoidance, and even people counting and tracking can benefit from detecting objects in the environment either around a vehicle or within

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Tesla’s Relationship With Radar

Tesla started its full self-driving hardware with radar in 2016, it began the break-up with radar in 2021, and radar was removed from production entirely in 2021. But in 2023, Tesla released its Hardware 4.0 (HW4.0) update, and radar has re-entered the relationship, but for how long? The findings of IDTechEx‘s market research report, “Automotive

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Improving Productivity with AI

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Application of Computer Vision in the Industrial Sector Inventory management is a key process for all industrial companies, but the inventory process is both time-consuming and error-prone. Mistakes can be very costly, and it is highly undesirable

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Build Vision AI Applications at the Edge with NVIDIA Metropolis Microservices and APIs

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA Metropolis microservices provide powerful, customizable, cloud-native APIs and microservices to develop vision AI applications and solutions. The framework now includes NVIDIA Jetson, enabling developers to quickly build and productize performant and mature vision AI applications at

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Fast-track Computer Vision Deployments with NVIDIA DeepStream and Edge Impulse

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI-based computer vision (CV) applications are increasing, and are particularly important for extracting real-time insights from video feeds. This revolutionary technology empowers you to unlock valuable information that was once impossible to obtain without significant operator intervention,

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