Edge AI and Vision Alliance

“Advancing Embedded Vision Systems: Harnessing Hardware Acceleration and Open Standards,” a Presentation from the Khronos Group

Algorithms, Edge AI and Vision Alliance, Memory, Processors, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

Neil Trevett, President of the Khronos Group, presents the “Advancing Embedded Vision Systems: Harnessing Hardware Acceleration and Open Standards” tutorial at the May 2024 Embedded Vision Summit. Offloading processing to accelerators enables embedded vision systems to process workloads that exceed the capabilities of CPUs. However, parallel processors add complexity as… “Advancing Embedded Vision Systems: Harnessing […]

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“Using AI to Enhance the Well-being of the Elderly,” a Presentation from Kepler Vision Technologies

Algorithms, Edge AI and Vision Alliance, Face Detection, Face Recognition, Medical, Object Identification, Object Tracking, Privacy, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

Harro Stokman, CEO of Kepler Vision Technologies, presents the “Using Artificial Intelligence to Enhance the Well-being of the Elderly” tutorial at the May 2024 Embedded Vision Summit. This presentation provides insights into an innovative application of artificial intelligence and advanced computer vision technologies in the healthcare sector, specifically focused on… “Using AI to Enhance the

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“Testing Cloud-to-Edge Deep Learning Pipelines: Ensuring Robustness and Efficiency,” a Presentation from Instrumental

Algorithms, Edge AI and Vision Alliance, Software, Summit 2024, Tools, Videos /

Rustem Feyzkhanov, Staff Machine Learning Engineer at Instrumental, presents the “Testing Cloud-to-Edge Deep Learning Pipelines: Ensuring Robustness and Efficiency” tutorial at the May 2024 Embedded Vision Summit. A cloud-to-edge deep learning pipeline is a fully automated conduit for training and deploying models to the edge. This enables quick model retraining… “Testing Cloud-to-Edge Deep Learning Pipelines:

“Testing Cloud-to-Edge Deep Learning Pipelines: Ensuring Robustness and Efficiency,” a Presentation from Instrumental Read More +

“Real-time Retail Product Classification on Android Devices Inside the Caper AI Cart,” a Presentation from Instacart

Algorithms, Edge AI and Vision Alliance, Memory, Object Identification, Object Tracking, Processors, Retail, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

David Scott, Senior Machine Learning Engineer at Instacart, presents the “Real-time Retail Product Classification on Android Devices Inside the Caper AI Cart” tutorial at the May 2024 Embedded Vision Summit. In this talk, Scott explores deploying an embedded computer vision model on Android devices for real-time product classification with the… “Real-time Retail Product Classification on

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“Future Radar Technologies and Applications,” a Presentation from IDTechEx

Automotive, Edge AI and Vision Alliance, Object Identification, Object Tracking, Robotics, Sensors and Cameras, Summit 2024, Videos /

James Jeffs, Senior Technology Analyst at IDTechEx, presents the “Future Radar Technologies and Applications” tutorial at the May 2024 Embedded Vision Summit. Radar has value in a wide range of industries that are embracing automation, from delivery drones to agriculture, each requiring different performance attributes. Autonomous vehicles are perhaps one… “Future Radar Technologies and Applications,”

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Edge AI and Vision Insights: September 25, 2024

Edge AI and Vision Alliance, Newsletters /

OPTIMIZING DEEP NEURAL NETWORK EFFICIENCY DNN Quantization: Theory to Practice Deep neural networks, widely used in computer vision tasks, require substantial computation and memory resources, making it challenging to run these models on resource-constrained devices. Quantization involves modifying DNNs to use smaller data types (e.g., switching from 32-bit floating-point values to 8-bit integer values). Quantization

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“Ten Commandments for Building a Vision AI Product,” a Presentation from Hayden AI

Algorithms, Automotive, Edge AI and Vision Alliance, Memory, Object Identification, Object Tracking, Processors, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

Vaibhav Ghadiok, Chief Technology Officer of Hayden AI, presents the “Ten Commandments for Building a Vision AI Product” tutorial at the May 2024 Embedded Vision Summit. Over the past three decades, the convergence of machine learning, big data and enhanced computing power has transformed the field of computer vision from… “Ten Commandments for Building a

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“Why Amazon Failed and the Future of Computer Vision in Retail,” an Interview with Grabango

Algorithms, Edge AI and Vision Alliance, Memory, Object Identification, Object Tracking, Processors, Retail, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

Will Glaser, Founder and CEO of Grabango, talks with Junko Yoshida, Editor-in-Chief of the Ojo-Yoshida Report, for the “Why Amazon Failed and the Future of Computer Vision in Retail” interview at the May 2024 Embedded Vision Summit. Grabango’s checkout-free shopping system allows you to shop in grocery and convenience stores… “Why Amazon Failed and the

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“Practical Strategies for Successful Implementation and Deployment of AI-based Solutions,” a Presentation from Globus Medical

Algorithms, Edge AI and Vision Alliance, Software, Summit 2024, Tools, Videos /

Ritesh Agarwal, Computer Vision Lead at Globus Medical, presents the “Practical Strategies for Successful Implementation and Deployment of AI-based Solutions” tutorial at the May 2024 Embedded Vision Summit. AI models that produce accurate results on test data are a necessary component of successful applications, but by themselves they are insufficient.… “Practical Strategies for Successful Implementation

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“Using Synthetic Data to Train Computer Vision Models,” a Presentation from Geisel Software

Aerospace and Defense, Algorithms, Edge AI and Vision Alliance, Software, Summit 2024, Tools, Videos /

Brian Geisel, CEO of Geisel Software, presents the “Using Synthetic Data to Train Computer Vision Models” tutorial at the May 2024 Embedded Vision Summit. Developers of machine-learning based computer vision applications often face difficulties obtaining sufficient data for training and evaluating models. In this talk, Geisel explores the use of… “Using Synthetic Data to Train

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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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