Blog Post
Cross-Processing Images in the Gimp
Color film photography looks to be fading fast; recently the last rolls of Kodachrome film were developed by the last place in the world that can process it. While black-and-white film development is commonly done in home laboratories, color film development requires specialized chemicals that were usually only available on an industrial scale. It appears… View Article
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Blog Post
Accelerating Data Insights: Digital Signal Processing Services in Big Data Analysis
In an era driven by data, understanding the intricate relationship between big data and digital signal processing is crucial. This blog post delves into how DSP techniques transform how we analyze vast datasets, enabling organizations to make more informed decisions and gain valuable insights.
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Blog Post
Machine Learning meets DSP: Leveraging AI for Advanced Signal Processing Services
From predictive modeling in financial analytics to image recognition in health care and environmental monitoring, our informative blog post showcases diverse machine learning for signal processing applications. Dive in to navigate this exciting intersection of technologies.
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Blog Post
The Basics of 3D Image Acquisition
One of our clients is heavily involved in 3D video and has been for several years. However, several are just now starting to think about it because of the uptick of interest in the consumer electronics world. Enough questions have been posed to us recently that it seemed worthwhile to me to pull together a… View Article
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Blog Post
Detecting Well-Focused Images
Our expert discusses how to write a program to automatically determine which photo in a group of pictures of the same scene is in the best focus. The trick is to use a contrast measurement in the passive autofocus algorithm.
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Blog Post
Video Expert Ben Mesander Rejoins Cardinal Peak and Shares Video Product Design Trends
Cardinal Peak is ecstatic that Ben Mesander is rejoining its team as a director of application engineering. Leveraging a rare understanding of complex video and image processing technologies, Ben leverages more than 30 years of engineering experience to solve the most complex challenges with creativity.
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Case Study
Medical Imaging Device Engineering
Low latency and high resolution are critical attributes for ultrasound imaging. We developed embedded software including video processing for a portable ultrasound imaging device.
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Case Study
FPGA Capabilities and Design Experience
FPGA fabric is infinitely configurable, able to perform virtually any function with extremely high throughput. We are skilled in FPGA design and implementation. Learn about some of our recent aerospace and pro-audio projects, using Xilinx, Intel, Microsemi Libero, and Honeywell components.
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Blog Post
With TI, Hard Is Good
Texas Instruments DaVinci™ series offers a range of processors optimized for digital video processing. Although not appropriate for broadcast video, they are well suited for a number of other video applications. TI offers evaluation modules (EVMs), software development kits (SDKs) and reference DVR design kits (RDKs) that allow a company to jumpstart its development effort…. View Article
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Blog Post
Product Design Considerations for Remote Patient Monitoring
Companies in the early stages of developing remote patient monitoring systems must understand how the various components and sensors interplay. Our engineer shares key considerations when building RPM products to drive positive change in the health care sector.
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Blog Post
The Promise — and Challenge — of Generative AI in Database Analysis
Generative AI offers new capabilities for database analysis but integrating the innovative technology into products remains difficult. In this blog post, our engineering experts dive into the promise and pitfalls of building products harnessing generative AI for database analysis.
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Case Study
Developing an Amazon Kinesis-Powered Cat Detector: An Edge Machine Learning Case Study
This case study reveals the secret to outsmarting mischievous feline antics with our innovative cat detector powered by Amazon Kinesis Video Streams, AWS IoT Greengrass and machine learning.
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