Computer Vision
AI technology that enables computers to interpret and analyze visual information from images and videos.
Detailed Definition
Computer Vision is a field of artificial intelligence that enables computers to interpret, analyze, and understand visual information from images, videos, and other visual inputs.
Core capabilities: - Object detection and recognition - Image classification - Semantic segmentation - Feature extraction - Change detection
GIS and remote sensing applications
Satellite imagery analysis: - Land use/land cover classification - Vegetation health monitoring - Surface disturbance detection - Infrastructure mapping
Mining applications: - Core sample photography analysis - Pit wall stability monitoring - Equipment condition assessment - Safety hazard identification
Document processing: - Survey plat digitization - Map georeferencing - Handwriting recognition - Table extraction from documents
Drone and aerial imagery: - Volumetric calculations - Progress monitoring - Environmental compliance - Exploration target identification
Technologies used: - Convolutional Neural Networks (CNNs) - Object detection models (YOLO, Faster R-CNN) - Semantic segmentation networks - Traditional image processing
Computer vision automates visual analysis tasks that previously required human interpretation.
Related Terms
Deep Learning
A type of machine learning using neural networks with multiple layers to learn complex patterns from large datasets.
Geospatial AI
The application of artificial intelligence and machine learning techniques specifically to geographic and spatial data analysis.
Remote Sensing
The acquisition of information about the Earth's surface using satellite or aircraft-based sensors without physical contact.