AI Radiology Decision Support
AI-powered radiology assistance for automated detection, measurement, and reporting of findings across imaging modalities including CT, MRI, …
Computer-Vision
AI Virtual Staging for Real Estate
Computer vision-powered virtual staging that furnishes empty properties in listing photos, reducing physical staging costs and accelerating …
AI Visual Defect Detection for Manufacturing
Computer vision-based quality inspection that detects surface defects, dimensional deviations, and assembly errors at production line speed.
AI Visual Search for Retail
Image-based product search and discovery using computer vision, enabling customers to find products by uploading photos or screenshots.
Amazon Lookout for Vision - Visual Anomaly Detection
A comprehensive reference for Amazon Lookout for Vision: automated visual inspection, defect detection, and deployment patterns for …
Azure Computer Vision - AI-Powered Image and Video Analysis
Azure Computer Vision is an AI service that analyzes images and videos to extract visual features, detect objects, read text, and generate …
Azure Custom Vision - Custom Image Classification and Object Detection
Azure Custom Vision is an AI service for building custom image classification and object detection models with minimal training data and no …
Case Pattern: AI Satellite Image Analysis for a Geospatial Intelligence Firm
Architecture and lessons from building an AI pipeline that processes satellite imagery at scale for change detection, object identification, …
Cloud Vision AI - Image Analysis and Recognition
Google Cloud Vision AI provides pre-trained models for image labeling, object detection, OCR, face detection, and explicit content …
Computer Vision for Enterprise Applications
A practical guide to implementing computer vision in enterprise settings, covering use cases, model selection, data requirements, and …
Convolutional Neural Network
How CNNs extract spatial features from images and why architectures like ResNet, EfficientNet, and MobileNet remain foundational in computer …
Image Classification Patterns for AI Applications
Patterns for building image classification systems. Multi-modal approaches, confidence handling, and production deployment strategies.
Multi-Modal AI - Working with Text, Images, and Beyond
A practical guide to building multi-modal AI applications that process text, images, audio, and video, covering architectures, use cases, …
Neural Radiance Field
How NeRF reconstructs photorealistic 3D scenes from 2D images using neural networks to represent volumetric scene functions.
Tesseract OCR - Open-Source Optical Character Recognition
Tesseract is an open-source optical character recognition engine that extracts text from images and scanned documents in over 100 languages.
Video Analysis Pipeline Patterns
Architecture patterns for AI-powered video analysis. Frame extraction, multi-modal analysis, temporal alignment, and cost management …
Vision Transformer
How Vision Transformers (ViT) apply the transformer architecture to image recognition by treating images as sequences of patches.
AI for Environmental Monitoring and Compliance
Air and water quality monitoring, pollution detection, compliance reporting, and satellite-based environmental tracking with AI.
AI for Medical Imaging Analysis
Radiology assistance, pathology screening, imaging quality assessment, and clinical decision support using AI.
AI for Satellite Data and Geospatial Intelligence
Using multi-agent AI systems to query and analyze satellite imagery and geospatial data through natural language, with public data sources …
AI Quality Control in Manufacturing
How computer vision AI enables automated visual inspection in manufacturing - detecting defects, reducing false positives, and integrating …
AI Video Editing Automation for Broadcasters
How AI automates the most time-consuming parts of broadcast video editing - rough cuts, highlight generation, and scene detection - at …
Amazon Rekognition - Image and Video Analysis
What Rekognition does, which features work well in enterprise applications, accuracy considerations, pricing, and common integration …
Automated Content Metadata and Tagging with AI
Auto-tagging video and audio content, scene classification, topic extraction, and SEO metadata generation for media libraries.
Case Pattern: Building a Geospatial AI Platform from Public Data
How a team built a geospatial intelligence platform combining satellite imagery, public datasets, and AI analysis to generate location-based …
Computer Vision
What computer vision is, how it works in AI applications, and how AWS Rekognition, Azure Computer Vision, and GCP Vision AI compare.