Algorithms & Models

Unikie Demonstration of AI-enabled Real-time Situational Awareness and Smart Spaces

Petri Talala, Vice President and General Manager at Unikie, demonstrates the company’s latest edge AI and vision technologies and products in Business Oulu’s booth at the 2022 Embedded Vision Summit. Specifically, Talala demonstrates an AI-enabled real-time situational awareness solution. Talala demonstrates how software-based edge AI, sensor fusion and a secure connectivity platform can together create […]

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Arm Demonstration of Machine Learning

Koki Mitsunami and Ben Clark, Developer Advocates at Arm, demonstrate the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Mitsunami and Clark demonstrate machine learning on Arm technology. Mitsunami shows how to improve PyTorch performance with Android NNAPI, by demonstrating models running on a mobile device using

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“Making Cities More Efficient with Computer Vision and Edge AI,” a Presentation from Hayden AI

Vaibhav Ghadiok, Co-founder and Executive Vice President of Engineering at Hayden AI, presents the “Making Cities More Efficient with Computer Vision and Edge AI” tutorial at the September 2022 Edge AI and Vision Innovation Forum. Vaibhav Ghadiok is an engineering leader with a track record of productizing robotics technology. He has 15+ years of experience

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Free Webinar Explores How to Successfully Deploy Deep Learning Models on Edge Devices

On December 13, 2022 at 9 am PT (noon ET), Yonatan Geifman, Co-founder and CEO of Deci, will present the free hour webinar “How to Successfully Deploy Deep Learning Models on Edge Devices,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: The introduction of powerful processors, memories

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Edge Impulse Demonstration of Screw and Washer Detection with FOMO

Jenny Plunkett, Senior Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Plunkett demonstrates Edge Impulse’s FOMO algorithm. In this demo, Jenny runs a FOMO model on the Himax WE-I Plus board for real-time screw and washer detection along a

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Edge Impulse Demonstration of Face Detection with FOMO and Alif Semiconductor’s Ensemble MCU

Shawn Hymel, Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Hymel demonstrates how to use Edge Impulse’s ground-breaking FOMO algorithm for real-time face detection. The demo runs live inference on an Alif Semiconductor Ensemble board, which combines an Arm

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“Unifying Computer Vision and Natural Language Understanding for Autonomous Systems,” a Presentation from Verizon

Mumtaz Vauhkonen, Lead Distinguished Scientist and Head of Computer Vision for Cognitive AI in AI&D at Verizon, presents the “Unifying Computer Vision and Natural Language Understanding for Autonomous Systems” tutorial at the May 2022 Embedded Vision Summit. As the applications of autonomous systems expand, many such systems need the ability to perceive using both vision

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“Compound CNNs for Improved Classification Accuracy,” a Presentation from Southern Illinois University Carbondale

Spyros Tragoudas, Professor and School Director of Southern Illinois University Carbondale, presents the “Compound CNNs for Improved Classification Accuracy” tutorial at the May 2022 Embedded Vision Summit. In this talk, Tragoudas presents a novel approach to improving the accuracy of convolutional neural networks (CNNs) used for classification. The approach utilizes the confusion matrix of the

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“Strategies and Methods for Sensor Fusion,” a Presentation from Sensor Cortek

Robert Laganiere, CEO of Sensor Cortek, presents the “Strategies and Methods for Sensor Fusion” tutorial at the May 2022 Embedded Vision Summit. Highly autonomous machines require advanced perception capabilities. Autonomous machines are generally equipped with three main sensor types: cameras, lidar and radar. The intrinsic limitations of each sensor affect the performance of the perception

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