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What are Vision Systems? Everything You Need to Know in 2023

Blog Posts, e-con Systems, Face Detection, Face Recognition, Industrial Vision (Computer Vision), Medical, Object Identification, Object Tracking, Retail, Robotics, Security, Sensors and Cameras /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The ongoing embedded vision evolution carries game-changing implications for various industries. It has the potential to redefine the way machines perceive and engage with their surroundings. Discover the popular types of cameras leading this charge, […]

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Nextchip Demonstration of Driver and Occupant Monitoring On the Apache5 SoC with emotion3D Software

Algorithms, Automotive, Emotion Discernment, Face Detection, Face Recognition, Nextchip, Processors, Sensors and Cameras, Software, Tools, Videos /

Barry Fitzgerald, local representative for Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the December 2023 Edge AI and Vision Alliance Forum. Specifically, Fitzgerald demonstrates a driver and broader occupant monitoring system (DMS/OMS) running on the company’s Apache5 SoC in conjunction with algorithms from emotion3D. This demonstration leverages a 3Mpixel

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A Detailed Look at Using AI in Embedded Smart Cameras

Automotive, Blog Posts, e-con Systems, Face Detection, Face Recognition, Medical, Object Identification, Object Tracking, Security, Sensors and Cameras /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Combining artificial intelligence (AI) with embedded cameras has paved the way for visual systems that can intelligently see and interact with their surroundings. Discover the role of AI in embedded camera applications, the benefits, and

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“Combating Bias in Production Computer Vision Systems,” a Presentation from Red Cell Partners

Algorithms, Edge AI and Vision Alliance, Face Detection, Face Recognition, Object Identification, Software, Summit 2023, Tools, Videos /

Alex Thaman, Chief Architect at Red Cell Partners, presents the “Combating Bias in Production Computer Vision Systems” tutorial at the May 2023 Embedded Vision Summit. Bias is a critical challenge in predictive and generative AI that involves images of humans. People have a variety of body shapes, skin tones and other features that can be

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“Developing an Embedded Vision AI-powered Fitness System,” a Presentation from Peloton Interactive

Algorithms, Edge AI and Vision Alliance, Entertainment, Face Detection, Face Recognition, Gesture Control, Medical, Object Identification, Object Tracking, Processors, Sensors and Cameras, Software, Summit 2023, Tools, Videos /

Sanjay Nichani, Vice President for Artificial Intelligence and Computer Vision at Peloton Interactive, presents the “Developing an Embedded Vision AI-powered Fitness System” tutorial at the May 2023 Embedded Vision Summit. The Guide is Peloton’s first strength-training product that runs on a physical device and also the first that uses AI technology. It turns any TV

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“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation from Omdia

Algorithms, Edge AI and Vision Alliance, Face Detection, Face Recognition, Object Identification, Object Tracking, Processors, Security, Sensors and Cameras, Software, Summit 2023, Tools, Videos /

Jack Narcotta, Principal Analyst for the Smart Home at Omdia, presents the “Advanced Presence Sensing: What It Means for the Smart Home” tutorial at the May 2023 Embedded Vision Summit. Eventually, homes will become highly autonomous—powered by ubiquitous, connected, intelligent devices (sometimes referred to as ambient computing)—but this remains a distant vision. In the meantime,

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NXP Demonstration of AI Functions Implemented on Low-power MCX and RT Microcontrollers

Face Detection, Face Recognition, NXP Semiconductors, Processors, Summit 2023, Videos /

Anthony Huereca, Systems Engineer at NXP Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Huereca demonstrates AI functions running on NXP’s low-power microcontrollers (MCUs). NXP’s new MCX N MCU, which includes the NXP-developed eIQ Neutron NPU, delivers an approximately 40x inference performance improvement when

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NXP Demonstration of a Driver Monitoring System Enabled By the i.MX 93 SoC and Its Integrated NPU

Arm, Automotive, Face Detection, Face Recognition, NXP Semiconductors, Processors, Summit 2023, Videos /

Michael Pontikes, Systems Engineer at NXP Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Pontikes demonstrates unique features of the new i.MX 93 applications processor. This latest processor from NXP Semiconductors, continuing the company’s long legacy of i.MX applications processors, features the Arm Ethos

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Network Optix Demonstration of Its Solution for Navigating the Video Infrastructure in the Era of AI

Algorithms, Face Detection, Face Recognition, Network Optix, Object Identification, Object Tracking, Security, Software, Summit 2023, Tools, Videos /

Darren Odom, Senior Director of Platform Business Development at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Odom demonstrates Network Optix’ robust edge-to-cloud platform. Offering a comprehensive solution for video infrastructure, this platform makes efficient use of small processors, thus making it an

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Lattice Semiconductor Demonstration of Its Glance Software

Algorithms, Biometrics, Face Detection, Face Recognition, Lattice Semiconductor, Processors, Software, Summit 2023, Tools, Videos /

Patrick Bednarski, Software Engineer at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Bednarski demonstrates Lattice Semiconductor’s Glance software. Glance is powered by several computer vision algorithms, runs on Lattice Semiconductor FPGAs and SoCs, and targets smart edge devices. The AI-based computer vision

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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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