There is no such thing as an unplanned small wildfire that firefighters shouldn't respond to and extinguish, so their ability to react quickly and prevent something much more dangerous is always critical. That’s why I am proud to be a part of WildfireWatch, a free...
Blog
Introducing Plainsight FilterBox 1.0
You can install FilterBox and get it running in as little as 10 minutes if you're familiar with Kubernetes and Helm. The image above is for demonstration purposes only due to customer privacy. The Genesis of FilterBox FilterBox emerged from a pressing challenge:...
Out of the Box Computer Vision
Projects often fail when the focus is placed on technology alone instead of business solutions. AI is just one tool in an enterprise’s toolbox and every solution needs the right resources to support its success. It’s rare for AI to prove the only tool necessary for creating a solution…
Computer Vision for Any Business
Projects often fail when the focus is placed on technology alone instead of holistic business solutions. AI is just one tool in an enterprise’s toolbox and every solution needs the right resources to support its success. It’s rare for AI to prove the only tool necessary for creating a solution…
Introducing Computer Vision for Ranching
The work done by AI-powered ranch vehicles comes down to more than automating key processes. When they’re armed with cutting-edge solutions like custom-built computer vision models, ranchers, farmers, and other agriculture industry players are able to act with greater agility with the insights necessary to independently innovate, build competitive advantages, and make more informed decisions.
Best Practices for Solution-Centric Computer Vision
Projects often fail when the focus is placed on technology alone instead of holistic business solutions. AI is just one tool in an enterprise’s toolbox and every solution needs the right resources to support its success. It’s rare for AI to prove the only tool necessary for creating a solution…
Back (of House) to the Future: Vision AI in Restaurant Kitchens
Vision AI offers solutions to a number of the challenges facing restaurants, presenting use cases for everything from keeping kitchens cleaner to ensuring each patty spends the exact right amount of time on the grill.
What Is Machine Vision?
Machine vision was really born on the assembly line, designed as a system of existing technologies and machinery that, combined, “watch” the production process and recognize when flaws occur.
What Is Deep Learning?
Deep learning sits within the machine learning subset of AI technologies. Machine learning systems are designed to educate themselves and adapt with or without human intervention. ML systems attempt to learn the same way humans do, through trial and error. Targeted ads, recommended products, and predictive search terms are all the result of successful machine learning.
Taking a Data-Driven and Model-Driven Approach to AI
Taking the first step toward more data-centric AI is as simple as recognizing the immense value your data holds and the value inherent in curating it carefully. But centralizing and systematizing your approach to AI isn’t enough—nor is it enough to focus on updating and testing the models you deploy at the expense of data quality. Even better than a data-centric approach to AI is a data-driven approach, one that focuses on both the quality of the data collected and the efficacy of the models this data is used to train.
Search
Popular Articles
Plainsight and Ericsson Launch 5G Innovation Partnership for Vision AI Solutions at the Edge
May 9, 2023 | Press
CRN’s 2023 Women of the Channel Honors Elizabeth Spears of Plainsight
May 8,2023 | Press
Computer Vision-Enabled Restaurants: The Recipe for Super-Sized Innovation
May 2,2023 | Blog