Software

Scalable Public Safety with On-device AI: How Startup FocusAI is Filling Enterprise Security Market Gaps

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm Enterprise security is not just big business, it’s about keeping you safe: Here’s how engineer-turned-CTO Sudhakaran Ram collaborated with us to do just that. Key Takeaways: On-device AI enables superior enterprise-grade security. Distributed computing cost-efficiently enables actionable […]

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EyePop.ai Demonstration of Effortless AI Integration

Andy Ballester, Co-Founder of EyePop.ai, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Ballester demonstrates the ease and accessibility of his company’s AI platform. Tailored for startups without machine learning teams, this demo showcases how to create a custom computer vision endpoint that can be

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Interactive AI Tool Delivers Immersive Video Content to Blind and Low-vision Viewers

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. New research aims to revolutionize video accessibility for blind or low-vision (BLV) viewers with an AI-powered system that gives users the ability to explore content interactively. The innovative system, detailed in a recent paper, addresses significant gaps

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Avnet Demonstration of an AI-driven Smart Parking Lot Monitoring System Using the RZBoard V2L

Monica Houston, AI Manager of the Advanced Applications Group at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Houston demonstrates a smart city application based on her company’s RZBoard single-board computer. Using embedded vision and combination of edge AI and cloud connectivity, the demo

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Advantech Demonstration of AI Vision with an Edge AI Camera and Deep Learning Software

Brian Lin, Field Sales Engineer at Advantech, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Lin demonstrates his company’s edge AI vision solution embedded with NVIDIA Jetson platforms. Lin demonstrates how Advantech’s industrial cameras, equipped with Overview’s deep-learning software, effortlessly capture even the tiniest defects

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Exploring the Present and Future of AI: Insights from Qualcomm’s AI Analyst and Media Workshop

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm A day with Qualcomm revealed the innovations empowering new and exciting AI experiences running within devices In the rapidly evolving world of artificial intelligence (AI), staying ahead of the curve is crucial. As a leader in on-device

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Accelerating Transformer Neural Networks for Autonomous Driving

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Autonomous driving (AD) and advanced driver assistance system (ADAS) providers are deploying more and more AI neural networks (NNs) to offer human-like driving experience. Several of the leading AD innovators have either deployed, or have a roadmap

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Sensor Cortek Demonstration of SmarterRoad Running on Synopsys ARC NPX6 NPU IP

Fahed Hassanhat, head of engineering at Sensor Cortek, demonstrates the company’s latest edge AI and vision technologies and products in Synopsys’ booth at the 2024 Embedded Vision Summit. Specifically, Hassanhat demonstrates his company’s latest ADAS neural network (NN) model, SmarterRoad, combining lane detection and open space detection. SmarterRoad is a light integrated convolutional network that

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Annual Computer Vision and Perceptual AI Developer Survey Now Open

Every year we survey developers to understand their requirements and pain points around computer vision and perceptual AI. This survey is now in its 11th year because of people like you, who contribute their real-world insights. We share the results from the survey at Alliance events and in white papers and presentations made available throughout

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Build VLM-powered Visual AI Agents Using NVIDIA NIM and NVIDIA VIA Microservices

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Traditional video analytics applications and their development workflow are typically built on fixed-function, limited models that are designed to detect and identify only a select set of predefined objects. With generative AI, NVIDIA NIM microservices, and foundation

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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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