Technical Insights

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

Algorithms, Edge AI and Vision Alliance, Software, Summit 2020, Tools, Videos /

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

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Processors, Sensors and Cameras, Software, Summit 2020, Videos /

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

Algorithms, FLIR Systems, Industrial Vision (Computer Vision), Object Identification, Sensors and Cameras, Software, Summit 2020, Tools, Videos /

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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“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook

Algorithms, Edge AI and Vision Alliance, Software, Summit 2020, Tools, Videos /

Raghuraman Krishnamoorthi, Software Engineer at Facebook, presents the “Practical DNN Quantization Techniques and Tools” tutorial at the September 2020 Embedded Vision Summit. Quantization is a key technique to enable the efficient deployment of deep neural networks. In this talk, Krishnamoorthi presents an overview of techniques for quantizing convolutional neural networks for inference with integer weights

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“Video Activity Recognition with Limited Data for Smart Home Applications,” a Presentation from Comcast

Algorithms, Edge AI and Vision Alliance, Processors, Security, Sensors and Cameras, Software, Summit 2020, Tools, Videos /

Hongcheng Wang, Director of Technical Research at Comcast, presents the “Video Activity Recognition with Limited Data for Smart Home Applications” tutorial at the September 2020 Embedded Vision Summit. Comcast’s Xfinity Home connects millions of home smart cameras and IoT devices to improve its customers’ safety and security. The company’s teams use computer vision and deep

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“Combining CNNs and Conventional Algorithms for Low-Compute Vision: A Case Study in the Garage,” a Presentation from the Chamberlain Group

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2020, Tools, Videos /

Nathan Kopp, Principal Software Architect for Video Systems at the Chamberlain Group, presents the “Combining CNNs and Conventional Algorithms for Low-Compute Vision: A Case Study in the Garage” tutorial at the September 2020 Embedded Vision Summit. Chamberlain Group (CGI) is a global leader in access control solutions with its Chamberlain and LiftMaster garage door opener

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“Structures as Sensors: Smaller-Data Learning in the Physical World,” a Presentation from Carnegie Mellon University

Edge AI and Vision Alliance, Sensors and Cameras, Summit 2020, Videos /

Pei Zhang, Associate Research Professor at Carnegie Mellon University, presents the “Structures as Sensors: Smaller-Data Learning in the Physical World” tutorial at the September 2020 Embedded Vision Summit. Machine learning has become a useful tool for many data-rich problems. However, its use in cyber-physical systems has been limited because of its need for large amounts

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“Joint Regularization of Activations and Weights for Efficient Neural Network Pruning,” a Presentation from Black Sesame Technologies

Algorithms, Black Sesame Technologies, Software, Summit 2020, Tools, Videos /

Zuoguan Wang, Senior Algorithm Manager at Black Sesame Technologies, presents the “Joint Regularization of Activations and Weights for Efficient Neural Network Pruning” tutorial at the September 2020 Embedded Vision Summit. With the rapid increase in the sizes of deep neural networks (DNNs), there has been extensive research on network model compression to improve deployment efficiency.

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“Parallelizing Machine Learning Applications in the Cloud with Kubernetes: A Case Study,” a Presentation from AMD

Algorithms, AMD, Processors, Software, Summit 2020, Tools, Videos /

Rajy Meeyakhan Rawther, PMTS Software Architect in the Machine Learning Software Engineering group at AMD, presents the “Parallelizing Machine Learning Applications in the Cloud with Kubernetes: A Case Study” tutorial at the September 2020 Embedded Vision Summit. In this talk, Rawther presents techniques for obtaining the best inference performance when deploying machine learning applications in

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“Democratizing Computer Vision and Machine Learning with Open, Royalty-Free Standards: OpenVX,” a Presentation from AMD

Algorithms, AMD, Processors, Software, Summit 2020, Tools, Videos /

Kiriti Nagesh Gowda, staff engineer in the Machine Learning and Computer Vision Group at AMD and chair of the Khronos OpenVX working group, presents the “Democratizing Computer Vision and Machine Learning with Open, Royalty-Free Standards: OpenVX” tutorial at the September 2020 Embedded Vision Summit. OpenVX is a mature computer vision and machine learning API standard

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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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