Plainsight Blog
Learn more about how to focus on your 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.
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.
Plainsight Deepens Relationship with Google Cloud to Empower Enterprises with Production-ready Computer Vision Solutions
Google Cloud customers can now centralize complete, end-to-end control and management of their vision AI workflows with fully-integrated capabilities in one intuitive interface and unmatched Google Cloud scalability and security for reliable and consistent vision AI solutions.
Classification Models: Organizing Images with Computer Vision
While phones do offer some simple tags to help users sort through their personal archives, computer vision classification models offer an easy and effective way of creating custom, highly-specialized models that can help to categorize visual data with highly personalized labels.
What Is Vision AI and Why Is it Important?
In this post, we’ll define vision AI, what it means for enterprises in different industries.
Autonomous Vehicles Are Driving Computer Vision Into the Future
Once the stuff of science fiction, self-driving vehicles are now merging onto roadways and into the news. Organizations ranging from car manufacturers to rideshare services to restaurants have launched ambitious initiatives and even started testing autonomous vehicles on select public roads.
