Blogs
This solution architecture helps you build and deploy Visual AI solutions in Snowflake for Healthcare & Life Sciences. Some of the use cases are described below.
XBuild: Revolutionizing Construction Management with AI Automation XBuild is an AI-powered construction platform that automates scope generation and insurance supplementation for contractors. By streamlining these tasks, XBuild enables contractors to undertake larger projects and secure faster approvals while minimizing overhead costs. Documentation Roadblock: Manual Image Analysis Challenges XBuild’s application requires users to submit detailed damage […]
Picture this: you pull into a busy community parking lot or a shopping mall, and instead of driving circles to hunt for an open space, a digital sign or an app guides you straight to the nearest empty spot. That’s the promise of an automated, camera-based parking detection system. In this post, we’ll take a […]
This tutorial will show developers how to build a Visual AI application very quickly. We will write a Python program that detects produce items in a refrigerator and checks a supermarket flyer for applicable discounts. No prior computer vision experience is required.
Object Counting with Visual AI has wide-ranging applications across numerous fields. In retail, automated shelf auditing systems count products to maintain optimal stock levels. In manufacturing, counting components on assembly lines ensures quality control and detects production anomalies. Medical researchers use cell counting in microscopic images for disease diagnosis and drug development. In safety and […]
The LandingAI team has developed VisionAgent, which is a generative Visual AI application builder that accelerates the development and deployment of vision-enabled applications. VisionAgent acts as your Visual AI pilot when it comes to building vision-enabled applications. Going beyond just code writing assistance, VisionAgent creates multiple plans when prompted with a vision task, selects the […]
“It increases efficiency, productivity and it increases our ability to identify issues in a much faster way, so it’s very exciting. This doesn’t mean we’re not going to need inspectors, it just means that the AI and ML models identify structures with deterioration right away so they can be inspected first.” Alyssa Grigoryan, SCE principal […]
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