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What are the Key Camera Features of Drone-based Aerial Surveillance Applications?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Surveillance drones require cutting-edge cameras to perform aerial surveillance across various industries. The cameras help collect real-time data to improve their situational awareness. Discover the must-have camera features that these futuristic devices need for exceptional […]

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“Future Radar Technologies and Applications,” a Presentation from IDTechEx

James Jeffs, Senior Technology Analyst at IDTechEx, presents the “Future Radar Technologies and Applications” tutorial at the May 2024 Embedded Vision Summit. Radar has value in a wide range of industries that are embracing automation, from delivery drones to agriculture, each requiring different performance attributes. Autonomous vehicles are perhaps one… “Future Radar Technologies and Applications,”

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Edge AI and Vision Insights: September 25, 2024

OPTIMIZING DEEP NEURAL NETWORK EFFICIENCY DNN Quantization: Theory to Practice Deep neural networks, widely used in computer vision tasks, require substantial computation and memory resources, making it challenging to run these models on resource-constrained devices. Quantization involves modifying DNNs to use smaller data types (e.g., switching from 32-bit floating-point values to 8-bit integer values). Quantization

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Using Generative AI to Enable Robots to Reason and Act with ReMEmbR

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision-language models (VLMs) combine the powerful language understanding of foundational LLMs with the vision capabilities of vision transformers (ViTs) by projecting text and images into the same embedding space. They can take unstructured multimodal data, reason over

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“Ten Commandments for Building a Vision AI Product,” a Presentation from Hayden AI

Vaibhav Ghadiok, Chief Technology Officer of Hayden AI, presents the “Ten Commandments for Building a Vision AI Product” tutorial at the May 2024 Embedded Vision Summit. Over the past three decades, the convergence of machine learning, big data and enhanced computing power has transformed the field of computer vision from… “Ten Commandments for Building a

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Renesas Leads ADAS Innovation with Power-efficient 4th-generation R-Car Automotive SoCs

New R-Car V4M & V4H SoC Devices Target High-Volume L2 and L2+ ADAS Market While Maintaining Scalability and Software Reusability with Existing R-Car Devices TOKYO, Japan, September 24, 2024 ― Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today expanded its popular R-Car Family of system-on-chips (SoCs) for entry-level Advanced Driver Assistance

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Intel Unveils Next-generation AI Solutions with the Launch of Xeon 6 and Gaudi 3

NEWS HIGHLIGHTS Intel launches Xeon 6 with Performance-cores (P-cores), doubling the performance for AI and HPC workloads. New Gaudi 3 AI accelerators offer up to 20 percent more throughput and 2x price/performance vs H100 for inference of LLaMa 2 70B1. SANTA CLARA, Calif., September 24, 2024 – As AI continues to revolutionize industries, enterprises are

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Visionary.ai Demonstration of AI Bayer Denoising Software Delivering Crisp Images at 0.1 LUX

David Jarmon, SVP of Worldwide Sales for Visionary.ai, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Jarmon demonstrates the company’s AI denoising solution—often described as “steroids for cameras”—on Qualcomm’s Snapdragon Gen-3 Android platform. In the demo, Visionary.ai’s real-time AI denoiser allows

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Gimlet Labs Demonstration of Instant Deployment of Custom AI to a Device

Natalie Serrino, cofounder of Gimlet Labs, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Serrino demonstrates Gimlet’s capabilities for deploying and monitoring edge AI workloads. She deploys a custom pipeline for hardhat compliance detection to an Intel NUC, and shows live

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Ceva and Edge Impulse Join Forces to Enable Faster, Easier Development of Edge AI Applications

Partnership enables AI developers to train, optimize and deploy embedded ML models on the Ceva-NeuPro-Nano NPU IP, pre-silicon, via Edge Impulse Platform ROCKVILLE, Md., Sept. 24, 2024 /PRNewswire/ — Ceva, Inc. (NASDAQ: CEVA), the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and

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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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