“Optimize Performance: Start Your Algorithm Development With the Imaging Subsystem,” a Presentation from Twisthink

Ryan Johnson, lead engineer at Twisthink, presents the “Optimize Performance: Start Your Algorithm Development With the Imaging Subsystem” tutorial at the May 2018 Embedded Vision Summit. Image sensor and algorithm performance are rapidly increasing, and software and hardware development tools are making embedded vision systems easier to develop. Even with these advancements, optimizing vision-based detection […]

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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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Zoom and Enhance: Imagination Technologies at the Embedded Vision Summit

This blog post was originally published at Imagination Technologies' website. It is reprinted here with the permission of Imagination Technologies. In our report on last year’s Embedded Vision Summit, we observed that machine learning was at the top of the classic Gartner hype cycle. Imagination was of course once again in attendance at the show

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“Deep Quantization for Energy Efficient Inference at the Edge,” a Presentation from Lattice Semiconductor

Hoon Choi, Senior Director of Design Engineering at Lattice Semiconductor, presents the “Deep Quantization for Energy Efficient Inference at the Edge” tutorial at the May 2018 Embedded Vision Summit. Intelligence at the edge is different from intelligence in the cloud in terms of requirements for energy, cost, accuracy and latency. Due to limits on battery

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“Real-time Calibration for Stereo Cameras Using Machine Learning,” a Presentation from Lucid VR

Sheldon Fernandes, Senior Software and Algorithms Engineer at Lucid VR, presents the “Real-time Calibration for Stereo Cameras Using Machine Learning” tutorial at the May 2018 Embedded Vision Summit. Calibration involves capturing raw data and processing it to get useful information about a camera’s properties. Calibration is essential to ensure that a camera’s output is as

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“Think Like an Amateur, Do As an Expert: Lessons from a Career in Computer Vision,” a Keynote Presentation from Dr. Takeo Kanade

Dr. Takeo Kanade, U.A. and Helen Whitaker Professor at Carnegie Mellon University, presents the “Think Like an Amateur, Do As an Expert: Lessons from a Career in Computer Vision” tutorial at the May 2018 Embedded Vision Summit. In this keynote presentation, Dr. Kanade shares his experiences and lessons learned in developing a vast range of

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Algolux Wins AI Breakthrough Award for Computer Vision

CANA Deep Neural Network for Robust Perception Recognized as Best Object Recognition Solution Montreal, Canada – June 27, 2018 – Algolux, the leading provider of machine learning optimization platforms for autonomous vision, has won this year’s inaugural AI Breakthrough Award. Algolux was honored with the award for Best Object Recognition Solution for its CANA full-stack

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Artificial Intelligence Delivers Cost-effective Video Surveillance for 24,000 Real Estate Cameras

This blog post was originally published at Camio's website. It is reprinted here with the permission of Camio. How a top real estate company is leading the security industry towards modernization Securing its 800 properties is cheaper and more effective with Camio’s use of modern cloud infrastructure and AI. In planning video security for 800 properties,

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“Even Faster CNNs: Exploring the New Class of Winograd Algorithms,” a Presentation from Arm

Gian Marco Iodice, Senior Software Engineer in the Machine Learning Group at Arm, presents the “Even Faster CNNs: Exploring the New Class of Winograd Algorithms” tutorial at the May 2018 Embedded Vision Summit. Over the past decade, deep learning networks have revolutionized the task of classification and recognition in a broad area of applications. Deeper

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Embedded Vision Insights: June 26, 2018 Edition

DEEP LEARNING FOR VISION PROCESSING The Caffe2 Framework for Mobile and Embedded Deep Learning Fei Sun, software engineer at Facebook, introduces Caffe2, a new open-source machine learning framework, in this presentation. Sun also explains how Facebook is using Caffe2 to enable computer vision in mobile and embedded devices. Methods for Understanding How Deep Neural Networks

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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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