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A Guide to Video Analytics: Applications and Opportunities

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Introduction In the past few years, video analytics, also known as video content analysis or intelligent video analytics, has attracted increasing interest from both industry and the academic world. Thanks to the enormous advances made in deep learning, …

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Machine Learning On Edge Devices: Benchmark Report

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Why edge computing? Humans are generating and collecting more data than ever. We have devices in our pockets that facilitate the creation of huge amounts of data, such as photos, gps coordinates, audio,… Machine Learning On Edge Devices: …

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Cloud and Edge Vision Processing Options for Deep Learning Inference

Should deep learning-based computer vision processing take place in the cloud, at the edge, or both? This seemingly simple question has a complicated answer: "it depends." This article provides perspectives on the various factors you should consider, and with what priorities, when making this implementation decision for your particular project's requirements. THe Edge-Centric Inference Evolution …

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Rapid Prototyping on NVIDIA Jetson Platforms with MATLAB

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This article discusses how an application developer can prototype and deploy deep learning algorithms on hardware like the NVIDIA Jetson Nano Developer Kit with MATLAB. In previous posts, we explored how you can design and train deep learning …

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The Next Phase of Deep Learning: Neural Architecture Learning Leads to Optimized Computer Vision Models

This article was originally published by Xnor.ai. It is reprinted here with the permission of Xnor.ai. Everywhere we hear that AI is going to change the world — those underlying AI models now power more products, businesses, and solutions. To understand what this all means, how AI models are structured, and how they are learning …

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How Xnor.ai Managed to Squeeze a Deep Neural Network onto a $20 Wyze Camera

This article was originally published by Xnor.ai. It is reprinted here with the permission of Xnor.ai. Wyze, the provider of affordable smart home technologies, came to us with a problem — can you help reduce the endless, unnecessary notifications for our camera users? At the time, Wyze was sending their users notifications based on motion …

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What Is Deep Learning? Three Things You Need to Know

This article was originally published at MathWorks' website. It is reprinted here with the permission of MathWorks. Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign, or to …

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Sensor Modules Help Accelerate Embedded Vision Development

This article was originally published at FRAMOS' website. It is reprinted here with the permission of FRAMOS. Sensor Modules are small imaging solutions used to easily integrate customized vision technologies into machines and devices that allow them to see. Developers of robots, drones, IoT, consumer devices and surveillance applications benefit from saving both development time …

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Live and in Color: Why Color Calibration is So Important in Medical Technology

This article was originally published at Basler’s website. It is reprinted here with the permission of Basler. In our article “What Role Does Color Play in Image Processing?” we already explained the role of color reproduction in machine vision. While monochrome images often suffice for industrial image processing, very different types of image information are …

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