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“Solving Vision Tasks Using Deep Learning: An Introduction,” a Presentation from Google

Algorithms, Edge AI and Vision Alliance, Processors, Software, Summit 2018, Tools, Videos /

Pete Warden, Google research engineer and the tech lead of  the TensorFlow Mobile and Embedded team, presents the “Solving Vision Tasks Using Deep Learning: An Introduction” tutorial at the May 2018 Embedded Vision Summit. This talk introduces deep learning for vision tasks. It provides an overview of deep learning, explores its weaknesses and strengths, and […]

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“The Four Key Trends Driving the Proliferation of Visual Perception,” a Presentation from the Embedded Vision Alliance

Algorithms, BDTI, Edge AI and Vision Alliance, Processors, Sensors, Software, Summit 2018, Tools, Videos /

Jeff Bier, Founder of the Embedded Vision Alliance and Co-founder and President of BDTI, presents the “Four Key Trends Driving the Proliferation of Visual Perception” tutorial at the May 2018 Embedded Vision Summit. With so much happening in computer vision applications and technology, and happening so fast, it can be difficult to see the big

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May 2018 Embedded Vision Summit Slides

Aerospace and Defense, Algorithms, Augmented Reality, Automotive, Biometrics, Downloads, Edge AI and Vision Alliance, Emotion Discernment, Entertainment, Face Detection, Face Recognition, Gesture Control, Industrial Vision (Computer Vision), Information Access and Analytics, Medical, Object Identification, Object Tracking, Optical Character Recognition, Processors, Retail, Robotics, Security, Sensors, Software, Summit 2018, Tools /

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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“Instrumenting Greenhouses as Data-driven Manufacturing Facilities,” a Presentation from IUNU

Algorithms, Edge AI and Vision Alliance, Object Identification, Processors, Sensors, Software, Tools, Videos /

Matt King, Chief Technology Officer at IUNU, delivers the presentation "Instrumenting Greenhouses as Data-driven Manufacturing Facilities" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. King explains how his company is enabling increased efficiency in commercial greenhouses using robotic cameras, computer vision and machine learning.

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“The Caffe2 Framework for Mobile and Embedded Deep Learning,” a Presentation from Facebook

Algorithms, Edge AI and Vision Alliance, Software, Tools, Videos /

Fei Sun, software engineer at Facebook, delivers the presentation "The Caffe2 Framework for Mobile and Embedded Deep Learning" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. Sun introduces Caffe2, a new open-source machine learning framework, and explains how Facebook is using it to enable computer vision in mobile and embedded devices.

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Data Sets for Machine Learning Model Training

AImotive, Algorithms, Articles, BDTI, Edge AI and Vision Alliance, iMerit, LUXOFT, Object Identification, Processors, Software, Technical Articles, Tools /

Deep learning and other machine learning techniques have rapidly become a transformative force in computer vision. Compared to conventional computer vision techniques, machine learning algorithms deliver superior results on functions such as recognizing objects, localizing objects within a frame, and determining which pixels belong to which object. Even problems like optical flow and stereo correspondence,

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Implementing Vision with Deep Learning in Resource-constrained Designs

Algorithms, Articles, Au-Zone Technologies, BDTI, Edge AI and Vision Alliance, Processors, Software, Synopsys, Technical Articles, Tools /

DNNs (deep neural networks) have transformed the field of computer vision, delivering superior results on functions such as recognizing objects, localizing objects within a frame, and determining which pixels belong to which object. Even problems like optical flow and stereo correspondence, which had been solved quite well with conventional techniques, are now finding even better

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Computer Vision in Surround View Applications

Algorithms, AMD, Articles, Automotive, Edge AI and Vision Alliance, Entertainment, Processors, Sensors, Software, Technical Articles, Tools, videantis /

The ability to "stitch" together (offline or in real-time) multiple images taken simultaneously by multiple cameras and/or sequentially by a single camera, in both cases capturing varying viewpoints of a scene, is becoming an increasingly appealing (if not necessary) capability in an expanding variety of applications. High quality of results is a critical requirement, one

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“Using Computer Vision and Machine Learning to Understand Pet Behavior,” a Presentation from PetCube

Algorithms, Edge AI and Vision Alliance, Entertainment, Object Identification, Object Tracking, Security, Sensors, Videos /

Alex Neskin, founder and CTO of PetCube, delivers the presentation "Using Computer Vision and Machine Learning to Understand Pet Behavior" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Neskin explains how his start-up is using vision and AI to improve the lives of pets and their owners.

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“Update on Khronos Standards for Vision and Machine Learning,” a Presentation from the Khronos Group

Algorithms, Edge AI and Vision Alliance, Processors, Software, Tools, Videos /

Neil Trevett, President of the Khronos Group, delivers the presentation "Update on Khronos Standards for Vision and Machine Learning" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Trevett shares updates on recent, current and planned Khronos standardization activities aimed at streamlining the deployment of embedded vision and AI.

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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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