Videos

“Khronos Standard APIs for Accelerating Vision and Inferencing,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Khronos Standard APIs for Accelerating Vision and Inferencing” tutorial at the September 2020 Embedded Vision Summit. The landscape of processors and tools for accelerating inferencing and vision applications continues to evolve rapidly. Khronos standards, such as OpenCL, OpenVX, […]

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“Feeding the World Through Embedded Vision,” a Presentation from John Deere

Travis Davis, Delivery Manager for the Automation Delivery team with the Intelligent Solutions Group at John Deere, presents the “Feeding the World Through Embedded Vision” tutorial at the September 2020 Embedded Vision Summit. Although it’s not widely known outside of the industry, computer vision is beginning to be used at scale in agriculture, where it

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“How 5G is Pushing Processing to the Edge,” a Presentation from Inseego

Dan Picker, Chief Technology Officer at Inseego, presents the “How 5G is Pushing Processing to the Edge” tutorial at the September 2020 Embedded Vision Summit. Worldwide 5G deployment has begun and promises ultra-high data rates with ultra-low latency, enabling real-time and interactive applications unlike anything previously supported by a cellular network. However, the 5G air-interface

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“Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification,” a Presentation from Imagination Technologies

Ana Salazar, Senior Research Manager at Imagination Technologies, presents the “Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification” tutorial at the September 2020 Embedded Vision Summit. This talk explores the challenges of deploying serial computer vision tasks implemented with DNNs. Neural network accelerators have demonstrated significant gains in

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“Sea-thru: A Method for Removing Water from Underwater Images,” a Presentation from the Harbor Branch Oceanographic Institute

Derya Akkaynak, Engineer and Oceanographer at the Harbor Branch Oceanographic Institute, presents the “Sea-thru: A Method for Removing Water from Underwater Images” tutorial at the September 2020 Embedded Vision Summit. Very large underwater image datasets are generated every day that capture important information regarding the state of our oceans, but they cannot be efficiently analyzed

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“Lessons From the Start-up Trenches,” a Presentation by and Interview with Oliver Gunasekara

Independent consultant Oliver Gunasekara and Shweta Shrivastava, chief product officer at Nauto, present the “Lessons From the Start-up Trenches” tutorial at the September 2020 Embedded Vision Summit. This interview with Oliver Gunasekara, founder and CEO of NGCodec, explores lessons learned during the journey of NGCodec—a video codec developer—from its founding in 2012 to its successful

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“Safer and More Efficient Intersections with Computer Vision,” a Presentation from Cubic | GRIDSMART

Jeff Price, Vice President and General Manager at Cubic | GRIDSMART, presents the “Safer and More Efficient Intersections with Computer Vision” tutorial at the September 2020 Embedded Vision Summit. GRIDSMART is an edge computer vision system that uses omnidirectional imaging to detect and track objects through intersections to optimize traffic signal timing in response to

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“CMOS Image Sensors: A Guide to Building the Eyes of a Vision System,” a Presentation from GoPro

Jon Stern, Director of Optical Systems at GoPro, presents the “CMOS Image Sensors: A Guide to Building the Eyes of a Vision System” tutorial at the September 2020 Embedded Vision Summit. Improvements in CMOS image sensors have been instrumental in lowering barriers for embedding vision into a broad range of systems. For example, a high

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“Deep Learning on Mobile Devices,” a Presentation from Siddha Ganju

Independent AI architect Siddha Ganju  presents the “Deep Learning on Mobile Devices” tutorial at the September 2020 Embedded Vision Summit. Over the last few years, convolutional neural networks (CNNs) have grown enormously in popularity, especially for computer vision. Many applications running on smartphones and wearable devices could benefit from the capabilities of CNNs. However, CNN’s

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“Deep Learning for Manufacturing Inspection: Case Studies,” a Presentation from FLIR Systems

Stephen Se, Senior Research Manager at FLIR Systems, presents the “Deep Learning for Manufacturing Inspection: Case Studies” tutorial at the September 2020 Embedded Vision Summit. 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. See

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