This article was originally published at Basler's website. It is reprinted here with the permission of Basler. You probably encountered coaxial cables in your youth, maybe from tube TVs with connections to the roof antenna or a cable connector in the living room wall. These cables are now coming back into favor. But by now, […]
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An ISP (image signal processor) in combination with one or several vision processors can collaboratively deliver more robust computer vision processing capabilities than vision processing is capable of providing standalone. However, an ISP operating in a computer vision-optimized configuration may differ from one functioning under the historical assumption that its outputs would be intended for
Combining an ISP and Vision Processor to Implement Computer Vision Read More +
While visible light image sensors may be the baseline “one sensor to rule them all” included in all autonomous system designs, they’re not necessarily a sole panacea. By combining them with other sensor technologies: “Situational awareness” sensors; standard and high-resolution radar, LiDAR, infrared and UV, ultrasound and sonar, etc., and “Positional awareness” sensors such as
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This article was originally published at Basler's website. It is reprinted here with the permission of Basler. For nearly every sensor model, there is a considerable number of cameras from different manufacturers in which it is used. Are these cameras equivalent when only the sensors are identical? Which aspects are important when it comes to
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This article was originally published at Intel’s website. It is reprinted here with the permission of Intel. The Deep Learning Deployment Toolkit from Intel helps deliver optimized inferencing on Intel® architecture, helping bring the power of AI to clinical diagnostic scanning and other healthcare workflows Executive Summary Deep learning and other forms of artificial intelligence
This article was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. DeepStream SDK 3.0 is about seeing beyond pixels. DeepStream exists to make it easier for you to go from raw video data to metadata that can be analyzed for actionable insights. Calibration is a key step in this
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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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This article was originally published at Basler's website. It is reprinted here with the permission of Basler. If I can't read the writing on a piece of paper, there's usually a simple solution: I hold the text under a lamp. If I want to see faint contours on the paper, I hold the sheet up
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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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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
OpenVX Implementations Deliver Robust Computer Vision Applications Read More +
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