Blogs
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 […]
In the rapidly evolving landscape of AI, utilities are increasingly turning to Visual AI technologies to streamline operations and enhance efficiency. However, not all AI applications are created equal—some are simpler to implement, while others demand more advanced resources and expertise. In this article, 6 Visual AI Use Cases for Utilities from Easy to Advanced, […]
Effective deployment of deep learning models is a critical yet often overlooked aspect of building scalable AI solutions. It is more than just a technical task—it’s a strategic necessity. A well-executed deployment ensures that models run efficiently, are scalable, and integrate seamlessly with existing systems. Poor deployment can result in performance bottlenecks, security vulnerabilities, and […]
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