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Inuitive Demonstration of the M4.51 Depth and AI Sensor Module Based on the NU4100 Vision Processor

Shay Harel, field application engineer at Inuitive, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Harel demonstrates the capabilities of his company’s M4.51 sensor module using a simple Python script that leverages Inuitive’s API for real-time object detection. The M4.51 sensor module, based on the […]

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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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Gigantor Technologies Demonstration of Removing Resource Contention for Real-time Object Detection

Jessica Jones, Vice President and Chief Marketing Officer at Gigantor Technologies, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Jones demonstrates her company’s GigaMAACS’ Synthetic Scaler with a live facial tracking demo that enables real-time, unlimited objection detection at all ranges while only requiring training

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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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Analog Devices Demonstration of the MAX78000 AI Microcontroller Performing Action Recognition

Navdeep Dhanjal, Executive Business and Product Manager for AI microcontrollers at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Dhanjal demonstrates the MAX78000 AI microcontroller performing action recognition using a temporal convolutional network (TCN). Using a TCN-based model, the MAX78000 accurately recognizes a

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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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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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Microchip Technology Inc. Demonstration of a Smart Door Lock Using Facial Recognition

Nav Gupta, FPGA Application Engineer at Microchip Technology Inc., demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Gupta demonstrates harnessing the power and thermal efficiency of the PolarFire SoC to develop low-power inferencing solutions. This demo showcases the versatility of the SoC with facial detection

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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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