Plainsight Blog
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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.
Another Lawsuit Rocks the Generative AI World
This week in AI and ML news: Getty Images sues Stable Diffusion, AI helps locate elusive birds, and more.
Safety First: Computer Vision for Safer Workplaces
While high-risk industries like construction and manufacturing account for the majority of serious on-site incidents, each unique workplace presents possible perils to employees and customers that computer vision can help detect to avoid injuries and accidents.
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.
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.
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.