Plainsight Blog
Learn more about how to focus on your vision.
Plainsight and MarineSitu Announce Collaboration to Propel a Sustainable Blue Economy Into The Future
The companies will focus on developing vision AI solutions for monitoring marine energy devices to protect aquatic ecosystems.
Computer Vision Is a Game-Changer On and Off the Field
The 2022 World Cup in Qatar has already proven a headline-grabbing event, with off-field controversies and on-field upsets attracting attention from all around the world. Politics and athletics aside, however, Qatar 2022 has also seen the debut of numerous game-changing technologies.
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…
Shutterstock Partners with OpenAI for DALL-E Integration
This week in AI and Machine Learning: Shutterstock inks a deal with OpenAI, Argo AI reaches the end of the road, and more.
Plainsight Automates Computer Vision Workflows with Pipelines
Plainsight Pipelines, the latest addition to our computer vision platform boosts our ability to accelerate value generation and show enterprises the value of scalable computer vision.
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.