Processors

“Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time,” a Presentation from Sportlogiq

Algorithms, Edge AI and Vision Alliance, Entertainment, Object Identification, Object Tracking, Processors, Software, Summit 2019, Tools, Videos /

Mehrsan Javan, CTO of Sportlogiq, presents the “Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time” tutorial at the May 2019 Embedded Vision Summit. Sports analytics is about observing, understanding and describing the game in an intelligent manner. In practice, this means designing a fully-automated, robust, end-to-end pipeline; from visual input, […]

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“Deep Learning for Manufacturing Inspection Applications,” a Presentation from FLIR Systems

Algorithms, Industrial Vision (Computer Vision), Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Stephen Se, Research Manager at FLIR Systems, presents the “Deep Learning for Manufacturing Inspection Applications” tutorial at the May 2019 Embedded Vision Summit. Recently, deep learning has revolutionized artificial intelligence and has been shown to provide the best solutions to many problems in computer vision, image classification, speech recognition and natural language processing. Se presents

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“Deploying Visual SLAM in Low-power Devices,” a Presentation from CEVA

Algorithms, Ceva, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Ben Weiss, Customer Solutions Engineer in the CSG Group at CEVA, presents the “Deploying Visual SLAM in Low-power Devices” tutorial at the May 2019 Embedded Vision Summit. Simultaneous localization and mapping (SLAM) technology has been evolving for quite some time, including visual SLAM, which relies primarily on image data. But implementing fast, accurate visual SLAM

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“Data Annotation at Scale: Pitfalls and Solutions,” a Presentation from Intel

Algorithms, Intel, Processors, Software, Summit 2019, Tools, Videos /

Nikita Manovich, Senior Software Engineer at Intel, presents the “Data Annotation at Scale: Pitfalls and Solutions” tutorial at the May 2019 Embedded Vision Summit. In many real-world use cases, deep learning algorithms work well if you have enough high-quality data to train them. Obtaining that data is a critical limiting factor in the development of

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“Machine Learning- based Image Compression: Ready for Prime Time?,” a Presentation from Clarifai

Algorithms, Edge AI and Vision Alliance, Processors, Software, Summit 2019, Tools, Videos /

Michael Gormish, Research Manager at Clarifai, presents the “Machine Learning- based Image Compression: Ready for Prime Time?” tutorial at the May 2019 Embedded Vision Summit. Computer vision is undergoing dramatic changes because deep learning techniques are now able to solve complex non-linear problems. Computer vision pipelines used to consist of hand engineered stages mathematically optimized

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“Portable Performance via the OpenVX Computer Vision Library: Case Studies,” a Presentation from Cadence

Algorithms, Cadence, Processors, Software, Summit 2019, Tools, Videos /

Frank Brill, Design Engineering Director at Cadence, presents the “Portable Performance via the OpenVX Computer Vision Library: Case Studies” tutorial at the May 2019 Embedded Vision Summit. OpenVX is a state-of-the-art open API standard for accelerating applications using computer vision and machine learning. The API and its conformance tests enable applications to leverage highly specialized

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“Challenges and Approaches for Extracting Meaning from Satellite Imagery,” a Presentation from Orbital Insight

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Adam Kraft, Deep Learning Engineer at Orbital Insight, presents the "Challenges and Approaches for Extracting Meaning from Satellite Imagery" tutorial at the May 2019 Embedded Vision Summit. Orbital Insight is a geospatial big data company leveraging the rapidly growing availability of satellite, UAV and other geospatial data sources to understand and characterize socioeconomic trends at

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“Emerging Processor Architectures for Deep Learning: Options and Trade-offs,” a Presentation from Hailo

Algorithms, Hailo, Processors, Software, Summit 2019, Tools, Videos /

Orr Danon, CEO of Hailo, presents the “Emerging Processor Architectures for Deep Learning: Options and Trade-offs” tutorial at the May 2019 Embedded Vision Summit. In the past year, numerous new processor architectures for machine learning have emerged. Many of these focus on edge applications, reflecting the growing demand for deploying machine learning outside of data

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“Deploying Deep Learning Models on Embedded Processors for Autonomous Systems with MATLAB,” a Presentation from MathWorks

Algorithms, MathWorks, Processors, Software, Summit 2019, Tools, Videos /

Sandeep Hiremath, Product Manager, and Bill Chou, Senior Computer Vision Scientist, both of MathWorks, present the "Deploying Deep Learning Models on Embedded Processors for Autonomous Systems with MATLAB" tutorial at the May 2019 Embedded Vision Summit. In this presentation, Hiremath and Chou explain how to bring the power of deep neural networks to memory- and

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“AI-powered Identity: Evaluating Face Recognition Capabilities,” a Presentation From the University of Houston

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Ioannis Kakadiaris, Distinguished University Professor of Computer Science at the University of Houston, presents the "AI-powered Identity: Evaluating Face Recognition Capabilities" tutorial at the May 2019 Embedded Vision Summit. Following the deep learning renaissance, the face recognition community has achieved remarkable results when comparing images that are both frontal and non-occluded. However, significant challenges remain

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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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