Tools

“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

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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

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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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“Designing Home Monitoring Cameras for Scale,” a Presentation from Ring

Algorithms, Edge AI and Vision Alliance, Face Detection, Face Recognition, Privacy, Processors, Security, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Ilya Brailovskiy, Principal Engineer, and Changsoo Jeong, Head of Algorithm, both of Ring, present the "Optimizing SSD Object Detection for Low-power Devices" tutorial at the May 2019 Embedded Vision Summit. In this talk, Brailovskiy and Jeong discuss how Ring designs smart home video cameras to make neighborhoods safer. In particular, they focus on three key

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“Low-power Computer Vision: Status, Challenges and Opportunities,” a Presentation from Purdue University

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

Professor Yung-Hsiang Lu of Purdue University presents the "Low-power Computer Vision: Status, Challenges and Opportunities" tutorial at the May 2019 Embedded Vision Summit. Energy efficiency plays a crucial role in making computer vision successful in battery-powered systems, including drones, mobile phones and autonomous robots. Since 2015, IEEE has been organizing an annual competition on low-power

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“Optimizing SSD Object Detection for Low-power Devices,” a Presentation from Allegro

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

Moses Guttmann, CTO and founder of Allegro, presents the "Optimizing SSD Object Detection for Low-power Devices" tutorial at the May 2019 Embedded Vision Summit. Deep learning-based computer vision models have gained traction in applications requiring object detection, thanks to their accuracy and flexibility. For deployment on low-power hardware, single-shot detection (SSD) models are attractive due

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“What’s Changing in Autonomous Vehicle Investments Worldwide — and Why?,” a Presentation from Woodside Capital Partners

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

Rudy Burger, Managing Partner at Woodside Capital Partners, presents the "What’s Changing in Autonomous Vehicle Investments Worldwide—and Why?" tutorial at the May 2019 Embedded Vision Summit. So far, over $100B has been invested by industry into the development of autonomous vehicles (AVs), and the pace of investment has recently accelerated. In this talk, Burger presents

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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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