Creating realistic 3D models has historically been a slow process or one that produced limited results. A technique called 3D Gaussian Splatting (3DGS) provides a powerful solution, making waves in fields like computer vision and AI. Instead of building 3D … Read More
Computer Vision
DFW Airport Fuel Spill: How AI Could Have Prevented It
When a fuel hose lost control during routine refueling at Dallas Fort Worth Airport (DFW) on October 11, spraying jet fuel around an American Eagle Airlines aircraft, it served as a stark reminder: even the most routine airport operations remain … Read More
AI License Plate Recognition: Smart Transportation and Security
In today’s fast-paced world, monitoring vehicles is a priority for businesses, governments, and law enforcement. This is especially true in the development of Smart City infrastructure and Intelligent Transportation Systems (ITS). Enter the license plate recognition camera – a technology … Read More
AI & Computer Vision in Retail Security
Retail security is undergoing a transformation. Traditional CCTV cameras and reactive monitoring are no longer enough to safeguard stores, customers, and assets. AI, computer vision, and intelligent AI agents are shaping the future of retail security – turning surveillance into … Read More
Automated Document Processing with AI for Smarter Workflows
Want to see how document automation and AI-driven workflows work in practice? Test them in a safe sandbox and refine governance strategies with DeepXHub. Create a free account Every day, businesses are buried in a mountain of contracts, invoices, and … Read More
Facial Recognition in Healthcare: A Comprehensive Analysis
Curious how the facial recognition and video‑analytics ideas in this article translate into practice? Explore them in a safe sandbox and pressure‑test governance approaches with DeepXHub. Create a free account. I. Executive Summary Imagine a healthcare system that’s smarter, safer, … Read More
DeepSloth: Depth estimation trained on synthetic pose data
We believe that using deep learning and synthetic data can aid a person’s depth estimation task. In this article, we will discuss the details of a relevant dataset generation process and demonstrate the depth estimation results on real data. Why … Read More
Rangefinding, Deep Learning, and Synthetic Data
There is a task: given an image of a person, determine the distance between this person and the camera from which the given image was captured. Terminology and theoretical foundations relevant to this task were discussed in the preface to … Read More
Preface to Depth Estimation
There is a task: given an image of a person, determine the distance between this person and the camera from which the given image was captured. In this article, we will discuss terminology and theoretical foundations relevant to this task. … Read More
Sub-Pixel Edge Detection Algorithm
The Sub-Pixel Edge Detection Algorithm is a method used in image processing to identify the location of an edge with precision finer than a single pixel. Traditional edge detection (like Sobel, Canny) works at the pixel level, while sub-pixel methods … Read More
