Technical Insights

“Adventures in Moving a Computer Vision Solution from Cloud to Edge,” a Presentation from MetaConsumer

Nate D’Amico, CTO and Head of Product at MetaConsumer, presents the “Adventures in Moving a Computer Vision Solution from Cloud to Edge” tutorial at the May 2024 Embedded Vision Summit. Optix is a computer vision-based AI system that measures advertising and media exposures on mobile devices for real-time marketing optimization.… “Adventures in Moving a Computer […]

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“Bridging Vision and Language: Designing, Training and Deploying Multimodal Large Language Models,” a Presentation from Meta Reality Labs

Adel Ahmadyan, Staff Engineer at Meta Reality Labs, presents the “Bridging Vision and Language: Designing, Training and Deploying Multimodal Large Language Models” tutorial at the May 2024 Embedded Vision Summit. In this talk, Ahmadyan explores the use of multimodal large language models in real-world edge applications. He begins by explaining… “Bridging Vision and Language: Designing,

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“Using MIPI CSI to Interface with Multiple Cameras,” a Presentation from Meta

Karthick Kumaran Ayyalluseshagiri Viswanathan, Staff Software Engineer at Meta, presents the “Using MIPI CSI to Interface with Multiple Cameras” tutorial at the May 2024 Embedded Vision Summit. As demand rises for vision capabilities in robotics, virtual/augmented reality, drones and automotive, there’s a growing need for systems to incorporate multiple cameras.… “Using MIPI CSI to Interface

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

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

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:

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

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

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

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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“Building Meaningful Products Using Complex Sensor Systems,” a Presentation from DEKA Research & Development

Dirk van der Merwe, Autonomous Robotics Lead at DEKA Research & Development, presents the “Building Meaningful Products Using Complex Sensor Systems” tutorial at the May 2024 Embedded Vision Summit. Most complex sensor systems begin with a simple goal—ensuring safety and efficiency. Whether it’s avoiding collisions between vehicles or predicting future… “Building Meaningful Products Using Complex

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“Federated ML Architecture for Computer Vision in the IoT Edge,” a Presentation from Cisco

Akram Sheriff, Senior Manager for Software Engineering at Cisco, presents the “Federated ML Architecture for Computer Vision in the IoT Edge” tutorial at the May 2024 Embedded Vision Summit. In this talk, Sheriff begins by introducing federated learning (FL) for computer vision in IoT edge applications. Federated learning is an… “Federated ML Architecture for Computer

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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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