Computer Vision Pipeline

Intelligent Feature Detection

Our advanced AI system processes satellite imagery through a sophisticated pipeline, combining CNN and YOLO for accurate accessibility feature detection.

99.8%
Accuracy Rate
0.5s
Processing Time
10m²
Resolution
CNN
YOLO
GIS

Detection Pipeline

01

Data Preprocessing

  • Convert coordinate systems
  • Apply spatial transformations
  • Validate accuracy
02

Image Segmentation

  • Create 10m × 10m grid segments
  • Maintain 1m overlap between tiles
  • Preserve georeferencing metadata
03

Initial CNN Detection

  • Process each tile through CNN
  • Binary classification for feature presence
  • Filter tiles with potential features
04

Context Window Creation

  • Center on positive detections
  • Include surrounding tiles
  • Maintain spatial relationships
05

YOLO OBB Detection

  • Process context windows
  • Generate oriented bounding boxes
  • Calculate confidence scores
06

Feature Georeferencing

  • Transform bounding boxes to coordinates
  • Apply spatial reference system
  • Generate location metadata
07

Results Generation

  • Format feature locations
  • Include confidence scores
  • Generate GeoJSON output