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Retail Applications for Embedded Vision

Introducing Intel RealSense ID Facial Authentication

What’s New: Today, Intel introduced Intel® RealSense™ ID, an on-device solution that combines an active depth sensor with a specialized neural network designed to deliver secure, accurate and user-aware facial authentication. Intel RealSense ID works with smart locks, access control, point-of-sale, ATMs, kiosks and more. “Intel RealSense ID combines purpose-built hardware and software with a dedicated

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Intel’s 2021 Predictions for the Edge

Intel has been transforming computing at the edge for years – delivering customer value across a range of industries from health and life sciences to industrial to retail to telecommunications and beyond. The next few years promise to be exciting as analysts predict that by 2023, approximately 75% of data will be created outside the

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What About Privacy?

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. In an age of universal surveillance, our sensing camera solutions offer a privacy-focused alternative. Security cameras are seemingly everywhere, all around us. They’ve become so ubiquitous that we barely even notice them anymore, monitoring and recording us

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STMicroelectronics Enables Innovative Social-Distancing Applications with FlightSense Time-of-Flight Proximity Sensors

Aura Aware demonstrates creative use of FlightSense™ technology in smart distance-awareness devices Ranging performance of Time-of-Flight sensor is unaffected by object color or reflectivity Gesture-detection capabilities unlock many more personal protection applications Geneva, DATE, 2020 – High-accuracy FlightSense™ proximity and ranging sensors from STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum

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The Guide to Machine Learning in Retail: Applications and Use Cases

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Introduction Artificial intelligence (AI) and machine learning (ML) are among the top technology trends in the retail world. They are having a great impact on the industry, in particular in e-commerce companies that rely on online sales, where

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“Sensory Fusion for Scalable Indoor Navigation,” a Presentation from Brain Corp

Oleg Sinyavskiy, Director of Research and Development at Brain Corp, presents the “Sensory Fusion for Scalable Indoor Navigation” tutorial at the May 2019 Embedded Vision Summit. Indoor autonomous navigation requires using a variety of sensors in different modalities. Merging together RGB, depth, lidar and odometry data streams to achieve autonomous operation requires a fusion of

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May 2019 Embedded Vision Summit Slides

The Embedded Vision Summit was held on May 20-23, 2019 in Santa Clara, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2019 Embedded Vision Summit

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“Using Vision to Transform Retail,” a Presentation from IBM

Sumit Gupta, Vice President of AI, Machine Learning and HPC at IBM, presents the “Using Vision to Transform Retail” tutorial at the May 2018 Embedded Vision Summit. This talk explores how recent advances in deep learning-based computer vision have fueled new opportunities in retail. Using case studies based on deployed systems, Gupta explores how deep

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“Deep Understanding of Shopper Behaviors and Interactions Using Computer Vision,” a Presentation from the Università Politecnica delle Marche

Emanuele Frontoni, Professor, and Rocco Pietrini, Ph.D. student, both of the Università Politecnica delle Marche, present the “Deep Understanding of Shopper Behaviors and Interactions Using Computer Vision” tutorial at the May 2018 Embedded Vision Summit. In retail environments, there’s great value in understanding how shoppers move in the space and interact with products. And, while

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May 2018 Embedded Vision Summit Slides

The Embedded Vision Summit was held on May 21-24, 2018 in Santa Clara, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2018 Embedded Vision Summit

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“Using Vision to Collect Rich Data in the Moment of Truth for Retail Analytics and Market Research,” a Presentation from GfK

Dr. Anja Dieckmann of GfK Verein and Markus Iwanczok of GfK SE deliver the presentation "Using Vision to Collect Rich Data in the Moment of Truth for Retail Analytics and Market Research" at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum. In their presentation, Dieckmann and Iwanczok cover the following topics: Market

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May 2017 Embedded Vision Summit Slides

The Embedded Vision Summit was held on May 1-3, 2017 in Santa Clara, California, as a educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2017 Embedded Vision Summit

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“Deploying Embedded Vision for Retail Analytics,” a Presentation from RetailNext

RetailNext's Mark Jamtgaard, Director of Technology, and Bill Adamec, Research and Development Manager, deliver the presentation "Deploying Embedded Vision for Retail Analytics" at the December 2016 Embedded Vision Alliance Member Meeting. Jamtgaard and Adamec Chehebar explain how retailers are using embedded vision to optimize store layout and staffing based on measured customer behavior at scale.

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Facial Analysis Delivers Diverse Vision Processing Capabilities

Computers can learn a lot about a person from their face – even if they don’t uniquely identify that person. Assessments of age range, gender, ethnicity, gaze direction, attention span, emotional state and other attributes are all now possible at real-time speeds, via advanced algorithms running on cost-effective hardware. This article provides an overview of

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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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