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Xperi

“A New AI Platform Architecture for the Smart Toys of the Future,” a Presentation from Xperi

Gabriel Costache, Senior R&D Director at Xperi, presents the “New AI Platform Architecture for the Smart Toys of the Future” tutorial at the May 2022 Embedded Vision Summit. From a parent’s perspective, toys should be safe, private, entertaining and educational, with the ability to adapt and grow with the child. For natural interaction, a toy […]

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“Alternative Image Sensors for Intelligent In-Cabin Monitoring, Home Security and Smart Devices,” a Presentation from Xperi

Petronel Bigioi, CTO for Product Licensing at Xperi, presents the “Alternative Image Sensors for Intelligent In-Cabin Monitoring, Home Security and Smart Devices” tutorial at the May 2021 Embedded Vision Summit. The traditional approach for in-cabin-monitoring uses cameras that capture only visible or near-infrared (NIR) light and are designed to represent a scene as closely as

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“Driver Monitoring Systems: Present and Future,” a Presentation from XPERI

Petronel Bigioi, CTO for Imaging at XPERI, presents the “Driver Monitoring Systems: Present and Future” tutorial at the September 2020 Embedded Vision Summit. Monitoring drivers and passengers inside of vehicles is an increasingly critical capability. For example, driver monitoring is required in order for cars to obtain a top safety rating from NCAP. This presentation

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“Beyond CNNs for Video: The Chicken vs. the Datacenter,” a Presentation from Xperi

Steve Teig, Chief Technology Officer at Xperi, presents the "Beyond CNNs for Video: The Chicken vs. the Datacenter" tutorial at the May 2019 Embedded Vision Summit. The recent revolution in computer vision derives much of its success from neural networks for image processing. These networks run predominantly in datacenters, where the training data consists mostly

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“An Ultra-low-power Multi-core Engine for Inference on Encrypted DNNs,” a Presentation from Xperi

Petronel Bigioi, CTO for Imaging at Xperi, presents the "An Ultra-low-power Multi-core Engine for Inference on Encrypted DNNs" tutorial at the May 2019 Embedded Vision Summit. Neural network encryption is a useful method to secure a company’s IP. This presentation focuses on the design details of an ultra-low-power, scalable neural network core capable of performing

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“Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – Example Methodologies & Use Cases,” a Presentation from Xperi

Peter Corcoran, co-founder of FotoNation (now a core business unit of Xperi) and lead principle investigator and director of C3Imaging (a research partnership between Xperi and the National University of Ireland, Galway), presents the “Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – Example Methodologies & Use Cases” tutorial at the May 2018 Embedded Vision Summit. Deep

“Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – Example Methodologies & Use Cases,” a Presentation from Xperi Read More +

“Embedding Programmable DNNs in Low-Power SoCs,” a Presentation from Xperi

Steve Teig, Chief Technology Officer at Xperi, presents the “Embedding Programmable DNNs in Low-Power SoCs” tutorial at the May 2018 Embedded Vision Summit. This talk presents the latest generation of FotoNation’s (a core business unit of Xperi) Image Processing Unit (IPU)—an embedded AI enabled image processing engine that can be customized and adapted to suit

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“Getting More from Your Datasets: Data Augmentation, Annotation and Generative Techniques,” a Presentation from Xperi

Peter Corcoran, co-founder of FotoNation (now a core business unit of Xperi) and lead principle investigator and director of C3Imaging (a research partnership between Xperi and the National University of Ireland, Galway), presents the “Getting More from Your Datasets: Data Augmentation, Annotation and Generative Techniques” tutorial at the May 2018 Embedded Vision Summit. Deep learning

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“Ultra-Efficient VPU: Low-power Deep Learning, Computer Vision and Computational Photography,” A Presentation from FotoNation

Petronel Bigioi, General Manager at FotoNation, presents the "Ultra-Efficient VPU: Low-power Deep Learning, Computer Vision and Computational Photography" tutorial at the May 2017 Embedded Vision Summit. This talk focuses on bringing intelligence to the edge to enable local devices to see and hear. It explores the power-consumption-vs.-flexibility dilemma by examining hard-coded and programmable architectures. It

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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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