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Face Distortion Correction for Images and Videos in Real-time

This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. In the era of digital photography and social media, capturing and sharing images and videos has become an integral part of our lives. However, sometimes the captured content may suffer from face distortion, resulting in unrealistic or […]

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“A Very Low-power Human-machine Interface Using ToF Sensors and Embedded AI,” a Presentation from 7 Sensing Software

Di Ai, Machine Learning Engineer at 7 Sensing Software, presents the “Very Low-power Human-machine Interface Using ToF Sensors and Embedded AI” tutorial at the May 2023 Embedded Vision Summit. Human-machine interaction is essential for smart devices. But growing needs for low power consumption and privacy pose challenges to developers of human-machine interfaces (HMIs). Time-of-flight (ToF)

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DeepX Founder Aspires to Be ‘Morris Chang of Korea’

AI hardware startups are a dime a dozen. But the founder of DeepX has a loftier goal — to build a company that matters to his home country, South Korea. What’s at stake? Specsmanship – power efficiency, performance efficiency and support for a variety of algorithms – absolutely matters in assessing AI hardware. But what

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“Developing an Efficient Automotive Augmented Reality Solution Using Teacher-student Learning and Sprints,” a Presentation from STRADVISION

Jack Sim, CTO of STRADVISION, presents the “Developing an Efficient Automotive Augmented Reality Solution Using Teacher-student Learning and Sprints” tutorial at the May 2023 Embedded Vision Summit. ImmersiView is a deep learning–based augmented reality solution for automotive safety. It uses a head-up display to draw a driver’s attention to important objects. The development of such

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“Introducing the i.MX 93: Your “Go-to” Processor for Embedded Vision,” a Presentation from NXP Semiconductors

Srikanth Jagannathan, Product Manager at NXP Semiconductors, presents the “Introducing the i.MX 93: Your “Go-to” Processor for Embedded Vision” tutorial at the May 2023 Embedded Vision Summit. In this presentation, you’ll learn all about NXP’s just-launched i.MX 93 applications processor family. The i.MX 93 is built with NXP’s innovative Energy Flex architecture, which delivers high

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“How to Select, Train, Optimize and Deploy Edge Vision AI Models in Three Days,” a Presentation from Nota AI

Steven Kim, Co-CEO of Nota America, presents the “How to Select, Train, Optimize and Deploy Edge Vision AI Models in Three Days” tutorial at the May 2023 Embedded Vision Summit. NetsPresso, as explained by Kim in this presentation, is a development pipeline that enables developers to build, optimize and deploy vision AI models faster and

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“Building Large-scale Distributed Computer Vision Solutions Without Starting from Scratch,” a Presentation from Network Optix

Darren Odom, Director of Platform Business Development at Network Optix, presents the “Building Large-scale Distributed Computer Vision Solutions Without Starting from Scratch” tutorial at the May 2023 Embedded Vision Summit. Video is hard. Network Optix makes it really easy. Video has the potential to become a valuable source of operational data for business, especially with

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New ROCm 5.6 Release Brings Enhancements and Optimizations for AI and HPC Workloads

AMD to Add ROCm Support on Select RDNA 3 GPUs this Fall AI is the defining technology shaping the next generation of computing. In recent months, we have all seen how the explosion in generative AI and LLMs are revolutionizing the way we interact with technology and driving significantly more demand for high-performance computing in

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“Fast-track Design Cycles Using Lattice’s FPGAs,” a Presentation from Lattice Semiconductor

Hussein Osman, Segment Marketing Director at Lattice Semiconductor, presents the “Fast-track Design Cycles Using Lattice’s FPGAs” tutorial at the May 2023 Embedded Vision Summit. Being first to market can mean the difference between success and failure of a new product. But rapid product development brings challenges. With the growing use of AI in embedded vision

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Plumerai Wins MLPerf Tiny 1.1 AI Benchmark for Microcontrollers Again

This blog post was originally published at Plumerai’s website. It is reprinted here with the permission of Plumerai. New results show Plumerai leads performance on all Cortex-M platforms, now also on M0/M0+ Last year we presented our MLPerf Tiny 0.7 and MLPerf Tiny 1.0 benchmark scores, showing that our inference engine runs your AI models

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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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PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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