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“Three Key Factors for Successful AI Projects,” a Presentation from MathWorks

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Bruce Tannenbaum, Technical Marketing Manager for AI applications at MathWorks, presents the "Three Key Factors for Successful AI Projects" tutorial at the May 2019 Embedded Vision Summit. AI is transforming the products we build and the way we do business. AI using images and video is already at work in our smart home devices, our […]

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“Using Deep Learning for Video Event Detection on a Compute Budget,” a Presentation from PathPartner Technology

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Praveen Nayak, Tech Lead at PathPartner Technology, presents the "Using Deep Learning for Video Event Detection on a Compute Budget" tutorial at the May 2019 Embedded Vision Summit. Convolutional neural networks (CNNs) have made tremendous strides in object detection and recognition in recent years. However, extending the CNN approach to understanding of video or volumetric

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“Can Simulation Solve the Training Data Problem?,” a Presentation from Mindtech

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Peter McGuinness, Vice President of AI and Services at Mindtech, presents the "Can Simulation Solve the Training Data Problem?" tutorial at the May 2019 Embedded Vision Summit. While there has been rapid progress in the adoption of neural networks and the evolution of neural network structures, the problem of training data remains. Even companies with

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“Mining Site Data Extraction Using 3D Machine Learning,” a Presentation from Strayos

Algorithms, Imagination Technologies, Processors, Sensors and Cameras, Software, Strayos, Summit 2019, Tools, Videos /

Ravi Sahu, Founder and CEO of Strayos, presents the "Mining Site Data Extraction Using 3D Machine Learning" tutorial at the May 2019 Embedded Vision Summit. This talk focuses on extracting invariant features for segmentation of 3D models of mining sites. The image data is generated by stitching together geo-tagged images from a drone. The 3D

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“APIs for Accelerating Vision and Inferencing: An Industry Overview of Options and Trade-offs,” a Presentation from the Khronos Group

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Neil Trevett, President of the Khronos Group and Vice President at NVIDIA, presents the "APIs for Accelerating Vision and Inferencing: An Industry Overview of Options and Trade-offs" tutorial at the May 2019 Embedded Vision Summit. The landscape of SDKs, APIs and file formats for accelerating inferencing and vision applications continues to evolve rapidly. Low-level compute

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“Highly Efficient, Scalable Vision and AI Processors IP for the Edge,” a Presentation from Cadence

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Pulin Desai, Vision Product Marketing Director at Cadence, presents the "Highly Efficient, Scalable Vision and AI Processors IP for the Edge" tutorial at the May 2019 Embedded Vision Summit. This presentation describes the architecture of the latest Tensilica-based vision and AI processor family, and illustrates how easily vision algorithms (e.g., SLAM, 3D capture) and AI

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“How to Get the Best Deep Learning Performance with the OpenVINO Toolkit,” a Presentation from Intel

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Yury Gorbachev, Principal Engineer at Intel, presents the "How to Get the Best Deep Learning Performance with the OpenVINO Toolkit" tutorial at the May 2019 Embedded Vision Summit. Tremendous recent progress in deep learning and computer vision algorithms has made it possible to create innovative applications that were not previously feasible. However, moving from academic

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“Visual AI Enables Autonomous Security,” an Interview with Knightscope

Algorithms, Edge AI and Vision Alliance, Face Detection, Object Identification, Object Tracking, Optical Character Recognition, Processors, Robotics, Security, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

William “Bill” Santana Li, Co-founder, Chairman and CEO of Knightscope, talks with Vin Ratford, Executive Director of the Embedded Vision Alliance, for the “Visual AI Enables Autonomous Security” interview at the May 2019 Embedded Vision Summit. Knightscope, a physical security technologies company based in Silicon Valley, develops and sells a line of autonomous robots that

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“Object Trackers: Approaches and Applications,” a Presentation from Intel

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Minje Park, Deep Learning R&D Engineer at Intel, presents the "Object Trackers: Approaches and Applications" tutorial at the May 2019 Embedded Vision Summit. Object tracking is a powerful algorithm component and one of the fundamental building blocks for many real-world computer vision applications. Object trackers provide two main benefits when incorporated into a localization module.

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“Selecting and Exploiting Sensors for Sensor Fusion in Consumer Robots,” a Presentation from Daniel Casner

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

Daniel Casner, formerly a systems engineer at Anki, presents the "Selecting and Exploiting Sensors for Sensor Fusion in Consumer Robots" tutorial at the May 2019 Embedded Vision Summit. How do you design robots that are aware of their unstructured environments at a consumer price point? Excellent sensing is required but using low cost sensors is

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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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