Skip to main content

Limitations

The FileSpin Face Recognition & Search addon uses advanced machine learning algorithms to detect, analyze, and match human faces in images. While the technology provides powerful capabilities for face indexing and searching, developers should be aware of inherent limitations in facial recognition technology that may impact accuracy and performance.

Face Detection Constraints​

  • Minimum face size: Faces smaller than 40x40 pixels may not be detected
  • Maximum faces per image: Performance degrades with more than 50 faces in a single image
  • Partial faces: Faces that are significantly cropped or extend beyond image boundaries
  • Extreme angles: Faces rotated more than 45° from frontal position

Image Quality Requirements​

  • Minimum resolution: Images below 640x480 may produce unreliable results
  • Motion blur: Moving subjects or camera shake significantly impact accuracy
  • Focus issues: Out-of-focus faces cannot be reliably indexed
  • Compression artifacts: Heavy JPEG compression degrades facial feature extraction
  • Extreme lighting: Overexposed or underexposed faces
  • Harsh shadows: Strong directional lighting obscuring facial features

Recommendation: Use well-lit, high-quality images (minimum 1280x720) for optimal results.

Search Functionality Limitations​

  • Single face search: Only the most prominent face is used when multiple faces exist in the search image
  • Image size limit: Search images cannot exceed 10MB
  • Result limitations: Maximum 30 results per page
  • No real-time indexing: Recently uploaded images may not appear in search results immediately

Performance Considerations​

  • Face indexing: Processed asynchronously, may take longer for images with many faces
  • Extended results: When extended asset data is requested, response will take longer
  • Large collections: Search time increases with the number of faces in the database
  • Database size: Performance may degrade beyond 10 million indexed faces