Articles

Using MATLAB and TensorRT on NVIDIA GPUs

This article was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. As we design deep learning networks, how can we quickly prototype the complete algorithm—including pre- and postprocessing logic around deep neural networks (DNNs) —to get a sense of timing and performance on standalone GPUs? This question comes up […]

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Computer Vision for Augmented Reality in Embedded Designs

Augmented reality (AR) and related technologies and products are becoming increasingly popular and prevalent, led by their adoption in smartphones, tablets and other mobile computing and communications devices. While developers of more deeply embedded platforms are also motivated to incorporate AR capabilities in their products, the comparative scarcity of processing, memory, storage, and networking resources

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OpenVX Implementations Deliver Robust Computer Vision Applications

Key to the widespread adoption of embedded vision is the ease of developing software that runs efficiently on a diversity of hardware platforms, with high performance, low power consumption and cost-effective system resource needs. In the past, this combination of objectives has been a tall order, since it has historically required significant code optimization for

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OpenVX Enhancements, Optimization Opportunities Expand Vision Software Development Capabilities

Key to the widespread adoption of embedded vision is the ease of developing software that runs efficiently on a diversity of hardware platforms, with high performance, low power consumption and cost-effective system resource needs. In the past, this combination of objectives has been a tall order, since it has historically required significant code optimization for

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NIR: Seeing Clearly Even in Low Light

This article was originally published at Basler's website. It is reprinted here with the permission of Basler. What is unique about NIR Cameras? “Near-infrared” (NIR) is the portion of the electromagnetic spectrum directly adjacent to the visible range; therefore it cannot be perceived with the human eye. NIR-optimized industrial cameras are popular for applications that

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Tips For Designing a Robust Computer Vision System For Self-driving Cars

This article was originally published at Texas Instruments' website. It is reprinted here with the permission of Texas Instruments. The robustness and reliability of a self-driving car’s computer vision system has received a lot of  news coverage. As a vision software engineer at TI helping customers implement advanced driver assistance systems (ADAS) on our TDAx

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Speed Matters

This article was originally published at Basler's website. It is reprinted here with the permission of Basler. For many machine vision applications, image data must be acquired, transmitted and evaluated within a set timeframe. This is known as “real-time capability”. This term can apply to a system, its components, and the software that communicates between

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CMOS Sensors Are the Technology of the Future for Industrial Cameras

This article was originally published at Basler's website. It is reprinted here with the permission of Basler. There are two types of image sensors for industrial cameras on the market: CCD and CMOS sensors. The right sensor for any given job is a case-by-case question. At the same time, the trend seems to be toward

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Robots with a Sense of Space: How 3D Imaging Will Improve Industrial Machine Vision

This article was originally published at Basler's website. It is reprinted here with the permission of Basler. Robots capable of quick, precise and seemingly effortless grasping and placement of goods: until recently, this seemingly-simple task actually required a long and difficult period of setup and training. Robots with a sense of space, capable of interacting

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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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