Object Identification

BDTI, Jabil, NVIDIA and Tryolabs Demonstration of AI-based Face Mask Detection and Analytics

BDTI and its partners, Tryolabs S.A. and Jabil Optics, are delighted to announce MaskCam: an open-source smart camera prototype reference design based on the NVIDIA Jetson Nano capable of estimating the number and percentage of people wearing face masks in its field of view. MaskCam was developed as part of an independent, hands-on evaluation of […]

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September 2020 Embedded Vision Summit Slides

The Embedded Vision Summit was held online on September 15-25, 2020, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in PDF form. To… September 2020 Embedded Vision Summit

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“Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild,” a Presentation from Skydio

Hayk Martiros, Head of Autonomy at Skydio, presents the “Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild” tutorial at the September 2020 Embedded Vision Summit. Skydio ships autonomous robots that are flown at scale in complex, unknown environments every day to capture incredible video, automate dangerous inspections and save lives of first responders.

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“Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking,” a Presentation from Seedland

Kit Thambiratnam, General Manager of the Seedland AI Center, presents the “Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking” tutorial at the September 2020 Embedded Vision Summit. The recent COVID-19 outbreak necessitated monitoring in communities such as tracking of quarantined residents and tracking of close-contact interactions with sick individuals. High-density communities also have

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“Image-Based Deep Learning for Manufacturing Fault Condition Detection,” a Presentation from Samsung

Jake Lee, Principal Engineer and Head of the Machine Learning Group at Samsung, presents the “Image-Based Deep Learning for Manufacturing Fault Condition Detection” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Lee explores applying deep learning to analyzing manufacturing parameter data to detect fault conditions. The manufacturing parameter data contains multivariate time

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Building and Deploying a Face Mask Detection Application Using NGC Collections

This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI workflows are complex. Building an AI application is no trivial task, as it takes various stakeholders with domain expertise to develop and deploy the application at scale. Data scientists and developers need easy access to software

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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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“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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“Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models,” a Presentation from EJ Technology Consultants

Evan Juras, Computer Vision Engineer at EJ Technology Consultants, presents the “Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models” tutorial at the September 2020 Embedded Vision Summit. Data augmentation is a method of expanding deep learning training datasets by making various automated modifications to existing images in the dataset. The resulting

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New June Oven Designed with MediaTek’s i500 AIoT Platform Delivers a Smart Cooking Experience to Consumers

MediaTek’s i500 brings powerful computer vision, advanced multimedia and fast Wi-Fi to the third-generation June Oven HSINCHU, Taiwan – December 14, 2020 –MediaTek today announced that the company’s i500 AIoT chipset platform is the main processor inside the new June Oven, a twelve-in-one countertop convection oven. MediaTek’s i500 has a dedicated AI Processing Unit (APU)

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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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